tag:blogger.com,1999:blog-59335171913523186912024-03-13T15:02:51.512-07:00N.E.R.D. Alert: Neuro Ed Research and DevelopmentThe semi-random musings of a neurologist who first trained to be a high school teacher, and never quite left his educator days behind. Views on the blog are my own, and are not specifically endorsed by my employer.Anonymoushttp://www.blogger.com/profile/14755647814671706116noreply@blogger.comBlogger45125tag:blogger.com,1999:blog-5933517191352318691.post-36267636332432519422016-03-18T08:59:00.000-07:002016-03-18T09:00:13.662-07:00360 degrees of neurological amazingnessIt was an ordinary day, and I was looking at my Facebook feed, and a friend had posted a video he made while snowboarding. Being on vacation, and a little bored, I clicked on it expecting to see a snowboarding epic move or an epic fall or something. What I saw was the guy's mitten and the trail ahead. Not that cool, I thought, until I touched the screen and panned around. He had captured a 360 video that the user can pan around. I could look at the sky, the trees reflection in his goggles, his board, or the trail ahead. It was very cool.<br />
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Why am I talking about this on a medical education post? Because, I looked and these cameras are now affordable. The one he bought is a little over $300. From a quick web search, there are now a <a href="http://www.premiumbeat.com/blog/360-camera-buying-guide-2015/" target="_blank">bunch of camera options to shoot in 360</a>. Couple that with <a href="http://www.wareable.com/headgear/the-best-ar-and-vr-headsets" target="_blank">virtual reality headsets</a> which are also dramatically decreasing in price, and there are a lot of opportunities to develop medical educational materials in ways never possible before.<br />
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Here's a couple of examples from <a href="https://youtu.be/3WIS6N_9gjA" target="_blank">Mythbusters diving with sharks</a>, and <a href="https://youtu.be/3WIS6N_9gjA" target="_blank">USA Today flying with the Blue Angels</a>. You may have already seen videos like this where you can pan and zoom, or if you have VR googles, you can just look around.<br />
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Imagine showing patient videos to students where the student actually feels like they are in the room with you as you examine a patient. We share videos in movement disorders frequently of unusual tremors and movements.Imagine being able to look like you would in an actual patient visit at a life-size patient. Imagine if you couple this with augmented reality programs that can allow the learners to interact with the patients, and we are not that far from simulation situations that truly do simulate real life.<br />
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Affordable 360 cameras are now on the market. Couple with more affordable VR headsets, and the possibilities for VR or augmented reality to teach medical students has opened way up. Now it's up to you all to go out there and buy some toys, and start making cool stuff.Anonymoushttp://www.blogger.com/profile/14755647814671706116noreply@blogger.com5tag:blogger.com,1999:blog-5933517191352318691.post-40634109405229713962016-03-04T11:05:00.000-08:002016-03-04T11:05:27.682-08:00Using a Lego to explain the difference between competencies and EPA'sPeople in medical education often have trouble figuring out the difference between competencies and EPA (entrustable professional activities). There is a pretty big philosophical difference. The competencies are definitions of observable behaviors and the EPA's are about observing a learner do a specific work task. <a href="http://www.ncbi.nlm.nih.gov/pubmed/26509601" target="_blank">Here is a recent article</a> from Carraccio and others that tries to ties the concepts together.<br />
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I was in a meeting yesterday where we were discussing the differences between EPA's and competencies. The group was trying to determine whether you are obligated to assess one first. We have 43 competencies in our new curriculum and 13 EPA's. The question that came up was if EPA 2 is going to be assessed in a student, and it is identified to require multiple competencies, do I need to measure the competencies first to allow me to get into an assessment for EPA's? The reverse of this question is if I am found to be entrustable to an acceptable level for graduation for EPA2, does this automatically allow me to be entrustable on all the related competencies.<br />
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While this discussion was going on, my mind wandered to Legos. I've been building Lego sets for years. My son and daughters now have large tubs of Legos in our house. It's really cool how you can make all sorts of wonderful things with the simple building blocks that are Legos. You can think of competencies as the individual building blocks. These are the behaviors necessary to build cool stuff. If you don't have the basic building blocks, you can't really make many cool sets (EPA's). The blocks come in lots of different shapes. Think of each shape as a competency. There are long flat short pieces and long flat long pieces. There are two by four bricks and two by eight bricks. There are all sorts of bricks. The bricks also come in different colors which can represent that a competency must be demonstrated in many different environments prior to saying for sure that it has been acheived. In other word, you may be good at applying medical knowledge in a pediatrics outpatient clinic, but not in an inpatient ICU with a critically ill patient. So, to check out on any given competency, the student may need a green two by four brick (applying medical knowledge in peds clinic), and a red two by four brick (applying medical knowledge in an ICU).<br />
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EPA's then are like the ability to build the sets. An EPA would be like taking all those Lego bricks and putting them together to make a car or a boat or a house. The act of making the car or boat or house means that you not only have the bricks needed to make the set, you can use them appropriately. So to enter an order in the ICU would be like making a house. The learner needs some two by four red bricks to make the house, but will also need roof pieces (say an infomatics competency) as well as other pieces. And they need to all be the right color to make a house in the ICU setting. Having a red two by four brick does not mean a student can build a house (they need specific skills to put it all together and other pieces), and building a house in the ICU does not mean you can build a house in the peds clinic (you need green pieces for that).<br />
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So, in other words, the EPA's and competencies are each dependent on each other. But both need to be assessed in parallel to assure that students Lego buckets are full of lots of cool and useful pieces, but also to assure that they can actually use the cool pieces to make stuff. Let me know if this helps you understand how EPA's and competencies work together, and what you think of this analogy in the comments below.Anonymoushttp://www.blogger.com/profile/14755647814671706116noreply@blogger.com2tag:blogger.com,1999:blog-5933517191352318691.post-55132442101395735082016-01-08T10:19:00.003-08:002016-01-08T10:21:24.717-08:00Is there a 'best' curriculum for medical school?I've been in many meetings lately where we our medical school is grappling with the question of whether our recent/ ongoing curriculum transformation has accomplished what we set out to accomplish. Many people are asking if our new way of doing things is 'better' than the old way of doing things. What most people are expecting to see is a single (or at most two to three) metrics to say that we are better. These are primarily physicians who can clearly state the literature on risk reduction and NNT if I start aspirin in a patient with stroke compared with clopidegril and aspirin. We all like single data points as they are easy to put into practice.<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhzZkMkaBeZyjdqs6rXp7LT5K_BP6ljhyphenhyphen5xxbIllFCipy9C-FccscwJgbge906ZGek3ix3GUDBdAZi65hj2YD1aDpTS5zI9AX0ptYOwW5nEdPlVEzIoMgRj9oZ4-ub_376F49KBws6Jcoo/s1600/image1.JPG" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" height="240" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhzZkMkaBeZyjdqs6rXp7LT5K_BP6ljhyphenhyphen5xxbIllFCipy9C-FccscwJgbge906ZGek3ix3GUDBdAZi65hj2YD1aDpTS5zI9AX0ptYOwW5nEdPlVEzIoMgRj9oZ4-ub_376F49KBws6Jcoo/s320/image1.JPG" width="320" /></a>However, our true measure of whether the curriculum is working well is actually pretty darned hard to measure. We want to know if we equipped physicians who are better prepared than the ones who went through the prior curriculum. The potential confounders are enormous, and the outcome data takes years to develop.These are the easy things to see. There is really no one 'best' number to see if we are accomplishing what we should do (yes, in my opinion, this includes the USMLE).<br />
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I think there is another inherent issue. Maybe there is no 'best' curriculum. Every system as complex as a medical curriculum will have strengths and weakness, shiny parts and rusty closets no one wants to clean, and areas of emphasis and areas that are not covered as well. Any endeavor has limits and boundries. In education it is often time and effort both on the part of students and teachers is not eternal. You have to make choices on what to include and what to exclude. Choices have to be made on how material is delivered. As a result, some curricula perform better in one area (say medical knowledge) and others perform better in another area (say reflective thinking). But to get better at one, you need to spend time that might be spent on another. Hence without unlimited time, there may be no perfect system.<br />
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There may be no 'best'.<br />
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And actually that's OK. You just need to decide what the main goals for your curriculum is. It doesn't matter if you are creating a new medical school curriculum or a curriculum for a single learner in your clinic with you for one week. You pick what you want to accomplish, and that will help you determine if you have the 'best' curriculum for you and your learners. And then go to measure whatever you can to see if it is working. We may not have a single best way to measure if our system is working, but if we know what we'd like to measure, it's far easier to get meaningful data.Anonymoushttp://www.blogger.com/profile/14755647814671706116noreply@blogger.com0tag:blogger.com,1999:blog-5933517191352318691.post-30266575946140212182015-09-11T10:12:00.001-07:002015-09-11T10:14:03.063-07:00In which I discuss educational philosophy heresyEducational reform always provokes controversy and arguments. I honestly started engaging in healthy discussions (read arguments) about educational reform when I was in my first education theory class in college. Most education reform arguments come down to whether the current paradigm is really broken, and whether the new paradigm is enough better to be worth the trouble replacing the old paradigm. Most of these arguments have fuzzy data at best to show for either side of the argument.<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh4v75vOHqOGdIDmLtkJ9xxIQGSDTKWURP6iv7aL0yuXUCCpiuouSbj-H3L6a2nthcH3PXA5me73C-mbVNwtXs3TeGkFakKBREZ99M55A4wNj4lTWH9Gnes5FeaGs1XBx0dqGBNa20EnrY/s1600/IMG_8541.JPG" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" height="296" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEh4v75vOHqOGdIDmLtkJ9xxIQGSDTKWURP6iv7aL0yuXUCCpiuouSbj-H3L6a2nthcH3PXA5me73C-mbVNwtXs3TeGkFakKBREZ99M55A4wNj4lTWH9Gnes5FeaGs1XBx0dqGBNa20EnrY/s320/IMG_8541.JPG" width="320" /></a>In my experience, these arguments tend to ride heavily on the past educational experiences of those involved in the arguments. The problem with this approach is that it assumes the two (or three or four) argue-ers are all equivalent learners. It assumes that all learners will thrive in the environment in which the argue-er thrived. It assumes that all learners have a mental processing intake system which acquires and stores information in a similar manner. It assumes that all learners are motivated to learn by the same motivations that drove the argue-er. No wonder these arguments are typically never resolved with the one party spontaneously saying, "Wow, you're right, and I was wrong all along. Thank you!".<br />
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Why is this? I think it is because we often make the assumption that all learners are equivalent in every aspect of acquiring, storing, retrieving, and applying knowledge. This makes it easier for us to create what little data we have as our current model for getting data on effectiveness of educational models. A p-value is not so useful if the entire cohort you are studying is a ill-defined mass of goo. Unfortunately, that is exactly what we have as our substrate, an ill-defined mass of goo.<br />
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What do I mean by this? Take neuroscience education in medical school as an example. First, there are obvious background differences - people with advanced degrees in neuroscience mingle in the class with those who have no idea what the frontal lobe is all about. Second, the way people learn is different. When I was a resident, I liked to see a few patients, and then take time right then to look up a bunch of stuff about those patients. I had friends who would rather be slammed with as many patients in a shift as they could find, as they felt they learned better in the doing. Some people like learning large concepts, and then going into details, and others like learning the details first, and then piecing them together later into a larger whole. Some people like to focus on one system or organ at a time, and some people like to have multiple courses concurrently running, so there is more time to absorb the information from each course. Some people love concept maps. Personally, I've never been able to get my head around why they are so great. I'm more of an outline guy. With these differences, we are trying to measure and argue over substrate that is an ill-defined mass of goo.<br />
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I'm not saying there are not basic learning theory principles which can be universal. I am saying the application of those basic learning theories is sometimes more wibbly wobbly than the ed-heads like to let on in their arguments. It could be that this multiple choice test on whether education reform is needed is not really a multiple choice test. It's an essay test. And there are multiple right answers as long as you can justify your answer. And everybody hated those tests... <br />
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<br />Anonymoushttp://www.blogger.com/profile/14755647814671706116noreply@blogger.com0tag:blogger.com,1999:blog-5933517191352318691.post-63607602775619191672015-07-31T09:24:00.003-07:002015-07-31T09:26:12.399-07:00Is there an upside to the noise of seemingly irrelevant content in medical education?As I have worked in planning curriculum in medical school either as a course/ clerkship director or in various school-level committees, a common question keeps coming up. How much is too much information? Or conversely how little do you need to know about basic science to be able to competently practice medicine?<br />
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The age of the 'Google' search and other tools like Epocrates and PubMed being capable of getting a seemingly endless stream of factoids answered instantly makes this question more difficult. How much do I need to know versus how much do I need to be able to know how to look it up? <br />
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I don't think there is a perfect answer to this question, but let's use as an example GI histology. As a neurologist, if you asked me how much I have used my knowledge from medical school of GI histology in the past six months, I would probably laugh. Most neurologists would probably laugh as when you ask that, what comes to mind immediately is the day in med school microscopy lab where we looked at the slides of intestines and identified the villi cells. I don't do that anymore - like ever.<br />
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However, in the last six months I have taken care of Parkinson's patients with gut motility problems and constipation and I've also taken care of people on whom we were considering gluten-sensitivity as differential diagnostic points. We also know the carbidopa/levodopa competes with protein in small intestine absorption. How much of my ability to understand these basic problems with occur daily in my clinic is founded in part on my original knowledge of GI histology? What I think it critical to consider when considering what level of detail of GI histology is important to physician training is to consider what is implicit knowledge that allows me to solve problems. This means looking beyond the typical response to any given topic where a practicing physician says, "I never use that." (Biochemistry anyone?) This means spending time unpacking the implicit framework knowledge on which you have built much more complex concepts. On the flip side, there are some things which I learned in med school which I really don't ever seem to use much now even as much as I try to rack my brain to figure out if I do use them.<br />
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I'm not sure of the best way to puzzle this question out. I'm a little worried about running the grand experiment of just stopping teaching the med students all the tiny details we have taught in the past without first pausing to understand the repercussions. There is not likely going to be a firm line in the sand somewhere where a given topic is relevant or irrelevant, it'll look likely more like a large sandy smudge. However, every teacher of med students has to draw their line somewhere, and it would be good to have some alignment within a med school system.<br />
<br />Anonymoushttp://www.blogger.com/profile/14755647814671706116noreply@blogger.com1tag:blogger.com,1999:blog-5933517191352318691.post-22721355139518236052015-06-26T09:16:00.000-07:002015-06-26T09:16:53.697-07:00How might a pure competency-based curriculum change residency interview season?OHSU is one of several schools that recently received an <a href="http://www.ama-assn.org/ama/pub/about-ama/strategic-focus/accelerating-change-in-medical-education.page" target="_blank">AMA-funded grant </a>to push medical educational innovation. Our new curriculum, <a href="http://www.ohsu.edu/xd/education/schools/school-of-medicine/about/curriculum-transformation/index.cfm" target="_blank">YourMD</a> (yeah it has a cool marketable name), is in many ways a test lab for this grant (to be clear, most of what I'm going to discuss here is beyond the scope of the current version being developed for the YourMD curriculum, and I'm outlining my personal view of what the model may look like in the future). One of the primary themes in OHSU's work for this grant is to create a workable competency-based (not time-based) model of medical education.<br />
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As you can imagine, there have been many questions about the logistical problems with such a system. One of the issues raised at our institution as this concept has been discussed at various faculty meetings is the perceived trouble students in such a system will have in finding a residency program. After all, the student will have this transcript which looks remarkably different from most of the current school transcripts. It will have a bunch of competencies and EPA's. It may not have any mention of honors. How is a residency director to be able to choose who is the best candidate for their program?<br />
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I've thought about this a bit, and have a few ideas. First, if the school is truly competency-based, just the fact that the student has been able to graduate should indicate that:<br />
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a) The student understands and applies the knowledge necessary to start as an intern,<br />
b) The student clearly demonstrates the skills necessary to start as an intern <br />
c) The student clearly demonstrates the professionalism necessary to start as an intern<br />
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To my mind (assuming the system will work as advertised), this is revolutionary. This means you don't have to guess as a residency director what you are getting. You don't have to read between the lines for the secret codes hidden in the letters of recommendation. This person is ready for residency<br />
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So, then what do you look for now? Now, as a program director, you can begin to look more at what other experiences and skills does this particular individual have that would help them thrive at any particular institution. Instead of trying to assure that the person had 'honors' in internal medicine, the medicine program director can sort applicants in all manner of ways. They could determine their program wants people who have above-average skill in quality-improvement, or they could decide they want residents who are particularly interested in medical education. They can rank based on how well they operate in a team-environment. They can look for students who have had particular experiences that would benefit them in their environment - say a lot of rural practice experience or many rotations in an under-served inner-city. Each program director can choose what they'd like to highlight, and I don't see a problem with letting students know what they are looking for in applicants. This makes the interview sessions even less about figuring out if this person can operate on the ward successfully, and more about does this person fit well with our system and our culture.<br />
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If competency-based education works, this may be something residency program directors will need to think about. We're all well on the way to competency-based education. So, program directors, prepare yourselves. I think it'll make interview season more fun actually.Anonymoushttp://www.blogger.com/profile/14755647814671706116noreply@blogger.com0tag:blogger.com,1999:blog-5933517191352318691.post-8888576038151580232015-03-13T10:09:00.000-07:002015-03-13T10:09:57.895-07:00Robert's rules and the digital age (or my one day as chair of the curriuculum committee)<br />
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<tr><td class="tr-caption" style="text-align: center;">Oregon Medical School Admission and Advanced Standing Committee</td><td class="tr-caption" style="text-align: center;">1950's </td></tr>
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Sometimes things happen to you without much thought or planning. In February, I was sitting in what I thought was an inconspicuous corner of the room during the monthly curriculum committee. Paul Gorman, the committee chair was paged, and somehow found me even though I was behind him, and motioned for me to take over the meeting. I've been chair of the clerkship directors subcommittee for over a year now, so chairing is not completely foreign to me. However, the curriculum committee is bigger and sometimes contentious, so my pulse quickened just a tad. My reign ended approximately 3 minutes / 2 comments later. I thought I was done, and slunk back into my usual spot against the wall, only to be re-jolted as Paul said he would be gone for the next meeting, and Robert's rules required that he could not appoint an alternate chair, but the committee must appoint an alternate chair. A voice said, "Well, he did a good job." Moments later, I was voted curriculum committee chair for a day.<br />
I was impressed that Paul knew there was a Robert's rule pertaining to the absence of the chair, and as the newly-appointed curriculum committee chair of-the-day, I thought I should review Robert's rules myself. The OHSU school of medicine website on committees led me to <a href="http://www.rulesonline.com/rror-09.htm#51" target="_blank">this document</a>. It's on the one hand a very tedious set of rules. On the other hand, it represents a time-tested means for a group to come to a decision on matters important to an organization. However, there are a few areas that I noticed where this document may need some updating.<br />
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First, it mentions specifically a lot of papers, here are three examples:<br />
<a href="data:image/png;base64,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" imageanchor="1" style="clear: left; 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z4EDq2+fLQ9cYMTwBoyN1n36/bB3lifriaRAN8V+/KZedlZfP/EyvFJPcD+oj8wsGicj2YWWZnfCGqoATSFLKTCS2yvVt9Yyejzwq5mouPqqBN33QyaSnfquae+kGFvGnJITWM8YckdjrfDwNO3PQgEYquhZMUBy9fQIX1x9F+QoOBb8YxBKtUxBj5c3toYjV2wyKmtj9Rx41twX9tOnqnQ1Dt0Qlb/bFkZVHZGuN8XWC+1WxOWEId0sTpfZEMsSslAMUp0VbyEn1n4VpBYGI9xeN7XfMno86Felmxs9wKBH/KOAqkNWkJu29XiNMum76ZUt3KXwnCWYaX9+y4UNRVfdF0WXJ8KXVd+tcpR/DEKplino8jJtvdoalLMzVywblbWxeg5sVX1zdYU4oJlgfLuTjceyAUEWkEbA9eRx61Ii029D7CwWyY2bq/r6iWcW7rsWnGVdhCFMRiEag+QyaMlZI68hU+TIBUciKe3l6nuvtIweD+AqrQ3OLqZHpASoI0umfddc6OMz3ZiPC+l9aaFLYUJ9eNr2L2NYNtS9pS9LOAdILooW4ZLBFyYxyDgLGD4W/GMQSrVMQehlMfi2sIYjV2wzKitj9RzYrPqOw/+Sv5g3oKIoLxiABhnu05tx07xWDjj55sdNJP1WxS5vyjLaWxKnFr7PryqiJMhXXAo7pzbkiRRcp+EtAWvkNW4KSc40GxA04u3l6lttGT0eoBozi6YRHrUygrpHyu6+UpxV3+yuwDZm3lzsUvhIH56m/UuCmuXJ7bN7gEBG8P0Ds1dVEsugBUw2FhaMQSrVSgWzwSvE23preHLFVqOyKlbPge2q77nwGisPu2DxROqsMboZNtfRSfAn2DawHj8zTn6m1sMwfNfqW8wKfhai+krYSMd0Q+9/QPvtbRtYj58ZJz9T62EYvmv1DQQCgUDgzIjqGwgEAoHA0YjqGwgEAoHA0YjqGwgEAoHA0YjqGwgEAoHA0YjqGwgEAoHA0YjqGwgEAoHA0fiO1XfNPyA76B+fTf9kdMN/lLyH5H6aZ/tHe+vlOZtGBTYU7+SaBpz43n7spw9cV+l4bptE9V3ct5bN+3x83v67fvwdhvdh+Ptx/fXx9U6vuo+879fv6/X31xI68uGnuQf3YyR/FY084nlldkTO0eoTpE8ZN10/ADw/pT5fAoDthTqTmlF9XwNnr74090X13ef4mdXXe+wfOdUHx5kT5ylli+or9dpHovXYqPr2XdN0XSt95TrbTqNrL5dL2+EvipOv+JGtLcQuiC8+Sb+N3/VDto2KoQj6fDlVTvuK99zu379xvvt5++/fP3SMGfDvx/VxZsqPX7+v198ft//+/Xv7zBJo3jc1I30hQXp8vv27/Xn8/rz9R39fP/4OEs2v39d/QEgsP6sZBcGvj1+zIuOSgF8XbBw3I+KO+YxCQbanIphpiofkJQUoLbH8HDAlTTkSaiJncqhoHzVymPB/P67/3T5J31L4Ygy2rTK+pvFYjGg88Ky0wD/PL7csSafrnJ3QgSTHlNDae9o3YOrulopT34a4meJYrq4zptJSTPX9FBvpkZ2+KYmgl7f7ztiu+l74pk/06lRK4Z7nxC5TV7JppdIF8qVdwP7h9246IY0sQLCsvsVZB75+X8fUps1906L0nKG+fl//kcyVpdGyIo7NSHYDBHm+nqhdr3Ml+PXxJdEkmZQKOSVrg91E8OvjV9lgNpHQrMI4gjVKRunSnw9efZ0ymIJZpjDclEXO1EVZLjZZeyLnQUq3jxI50NSkQjOXEThXntmIzlugDfhQjiJkQEshOxeyIXYQeeJKfBk7t1SE9SzUlsQlZQwTmsY0WkKLNdPcl+yhY2ynA53u774ztpz79uMfPACny9ib5Kq+ZbRBUN1l2nmPU/TVNkKvXdSYE5NSff/c0hzuz20uRXhhUF4/TL8RQUjk6/f19ufr49ftk/SCNDN5CiEtdrAvFAY0qzEOtgZjhIsTojCyhgpagtkPVnW70ZuhqZlefXXWnsgpq68cfjByAK/5Em/zng2U6uorNBj/gJmE3pXXb1NfnDWyH+oosRh/u6WiOZOe3IS47gJOpIKy1TLjRK6WKljVE+Zzf/edsW/1JYsXwL7l1SxusUtUgmYkXealGLciG1TfB2OyrCdXX7quOLdfU30hwZzOYyIyZs/HBOXr9/UxTYE0s4w8zcbIrEtjJ1RfslApV98q4wgVqGRElmHL2RisjpIMumBm9RXsVkpLLX9M9VXso0cOMDVZlJ7arKq+yojOMsmUdKVccaFQEgiQQGPHOrhYzDXGKRVl7ay+FSrLLpBytZOy2VKy2NTmwRLbmgLmc3/3nbFD9Z11Svt3ozs+/SospXoXY6qaJPXcm5YEwRbWvuqbZK6d+76D5FibQ/E8Iz8+364ff7IJyucbff6KKro01bPYwQnl5xt59olKlzJnqqq+nNHUHi+DO2UwBaub+ya/GGY5ovrK9tEjB5r66/f1+nbDrxkSeKtv+gs96rImYcrsZ8HcF0wECczEVf52S+U/uYC41wVw7qtTtlpKFst0bFszA2Onu7vvjO2rL6hZ8/hAzcjoSSb3dpGuMn/3XTueIhNaMA0mfbMAoI9RmoLSCPggOUmFn/uWz8DIP0Z6/7yx5d/8yPoKORcQBCn7V9b++sbepSrfq7Kf+0J2xTT09of+yJ77smZ1xkGSc0ZfH5Om5KkkpwDeR8sVNASzqy+gAMxSrBYsr76OyPn6fb3+/lTso0YOEn6MnH+51tOf+Zhpul5ZFuy7punubETnLdBzX54r8mp5b+3b97kX4YnYQWlQ4oK/3VLlC41M03XElZVZlKsrKSstRYtldwbsfV3uKZjPUfenYMu3rvJ31Ib0Utx8l1HeMeVXyblL04CJLCTI+UJ/pxf0rNcpgCLpdNsVN1Nzy9y5CSPjf+muX1htJrUte6lVrr5ZXzHnMoLl8ffjSt5oTbMWuYSklVLeUmVHl1izmd/jzGQi3KzGOOJKQM7o8+1foYghqqSgKpij+iKyTNohCXy9va2Y+zoiZ37uK9lHjxwofHmv+eeWFrQJ+PpkMVAfDdiILokUV4Whzdc4PdW3lI2zy6BmQnHe6ZOK59ENiUsuGFCurqKst5QsJt4ZCOlXdPqzH/kOw7DPc98DCS7nu/Wb5rYk73FodxILmsXxYke+wJ55eX9snqMCDzzHsGz1oU6GMxTfk1Vf8i/IfKZZzLfvmk2N7xDkPY6ovj/5KN63+vr4Rf4N8f6I6rspqnP1pqDPDoZ63xbdn4WNqm/AxnscccQhHIHAj0NU30AgEAgEjkZU30AgEAgEjkZU30AgEAgEjkZU30AgEAgEjkZU30AgEAgEjkZU30AgEAgEjsaTqm/827sDsJ+Rd6IcURHYFhGoZ0OYjmCn6mt9nptfP8grP8n537P65o1664v8Rsf9sSWjJ6nwulhoonfjcH0NBm5lwfY/9na0RHrCsUjO86qz/qjG4dXXd303/KSM9ROqb0XPb+D6b6DCsThP9dVOLmhzhmORnFF9CTarvumb290927yxGWe6XXu5XNp7Ofe9P07TOXHXzj05efjBb/o17ekq+Lp3XwoGCVzIpiGlMPkXyvi3opH8KuW2w58BZ/rqXaDdRGMKEGw4Os5Q07JMFiE98o4osBVabYviLSfOXL9PvEm2khhlNsnocrJNs6EKYi8mAPkgLv2SvbVJiRmE4Pv9zBoCdg7Uz9u43cX146+yAdTHrdzEmnT8k/bMSFtZvN3AyYL4X9Rx/C/nmHazQNtpky2W/6N7hiI69JhloFtDFr1MOef9JTmpt9uVbLaR7RcusRMEI1tvSRuRKTRr7KPYZP50eTU2qr4piO9d14MlMrodVcqPfdqbaj4PNiEizfCoJyMKbSiWb+5h1aGZGxQmT0ZoZzO+LaFKmV+F+updIF9sTE1tYEN55xCwP6RimSJCpOoLyeqhVRZzn+v3iDfJVhKjUjV6ApLdTgUhNrAAxIBNw3fxdJtFZ8SsIWD3QJ33mPpQqu+0O1Pa6jFVkT8fH39dK8/iDp6sDeFIGNE9ptLuk+Cge3cCOtmRShfdPxRzV+WUSD32ziKVkm6xOojsZGqTMNcr3r27oIk382b2oc0Mm5ym+j5gZcNpypIalXPiIimrm1dn3ITNtGEKxpjaYArzgLU2iJamxr0kBbmq7w1uENQtIMCkIDVO0qqWKYwhz31Lsq7QWlF994g33hgyKmlTu0Gy+6gAYnsA5bfvmvbej7uTuIPfz8i569j+gZqlZmX7xZS43z5BMdu6+uKbALqlo7IOPNG0d5+k+1BNNJfJqZGaL+XbXmlmQdSoXrc/Xx+/bp8OmsBWyD6pmWWT8ajGVivPfb6/paP6ktbZeSNJCWuaWYa6tPcl1TfpoFavB7csv1ESSFSNMr8K9dW7rK++pg01NbOpCLZMESFm9U1kPaG1afVdH2+F3hIjbpMLBffsdiqINZsJMHlirLvZH5VmMRgVjhawf6DOa6q3T0f1Tan5b9bxgOqb1Xtcfcniqq/60m2tjV4OOWVSj9lkse2VccfDqU1T57HuPqbUX7+vOk1iK80+tNDqNhmPamz81lU/Lu84qm/TZTvS6zfyZiqBkwawYidXoSQLmlCWv+edrJkktNk8e1Mo61dhKTVF5XXKrL6SDc2kVtpZsAzlU2Q+6GiWGtXQ4vcmluv3iDfFVqovJtXMCeWmKgB5hE1P723T3Ulhb+/3FuhqmsVkNJNRIuiIQH1PC490fqnPfWnBEwstO8mJV8199er7+Uaevy6Y+xbCV8qpkxofAKP5uj33zXS8fvyZJPlz+/f2+flWPvSVXGbaxzlBH49qbFN9+67t+mEY0rDKhpdYfR+FhIwfcaySIl3xHI70nzpJ4z6RmDuKGbPvGuHNENKMFkGFMrgK9dW7SFeR/NQa0AD42bmgJn0TR7FMGSHQO4isM7TKk6br94g3xVaIEVRtbnVvwVR/MxXk2CgFGBs0WZtmkrwk6nz9AjCC1nhKoGZv9MxPBB/v9bCyN7/s8/XxVrwKlD3RJHO+7CQnDjuKBWlqSUhl9wGPWSB9rmlU3+yVpc/b26dYDi05DVJ/P67/wQfPCruS2tjgV9bm+qZX9Nksun3ovNywyXhUY7vnvsWiUU9eaVSq7zwO7uoUYabfNHhb5JldOcIul8dbwpQsfrFy4jHfFMvzFfHWPYmB3uWElPlVqK/eBfI187JpQyWpATVVy7AIAd6BZJ2hlbvVdr0+JV0Qbwvmvlw1agJYV7ZSQb+zLD2bF3A5ggyz6IxKazwtUKcFxjG/z4uTtw+0Cjqn4M+3omNqRssSPQmJw45S1ZyZXn9dwdRweiN6nmU6qm/2PjOc6zvltEiB963U6guoTSfTZDdNZxlN7jJoH9DMssmTq+9hkIbZoZDXzTYXz0nQz3dfA2orii+JU8TbOryoCs8M1PfXO8RSetpDWEl+rn1WmbEar1F9023xCZJ79uCJX2u6fjWLan3dfHfNaZplXgqnirdleHUVnhqo769yzP/CGE/4Tnzg9632O6L6BgKBQCAQGKL6BgKBQCBwPKL6BgKBQCBwNKL6BgKBQCBwNKL6BgKBQCBwNKL6BgKBQCBwNKL6BgK74j2OOL7LEdgSUX0DgV3xHkcc3+UIbIkNq+/07/uP+8f9Do4v+qGfTQB1/x4G2VCL3a307jr2+1bR630FabdjvSm+hzH9WpQtT4Nvkcc2q77O3TlL9GiPGoUH+XyPwDEntZOTXsL3a+qK6ZcjLcB5naX6etpln2gf8u/pDwP5mv9maV3exm6X42B2K46ovrVa4Oq7w+C3C8Ehif1YbFV9Vxqj5kuJYAcfmdS3cNJCbDCrO6v5Xqr6sn1Ys+8Cfn38un78/T7V98xHVN9aLQ6rvjblb5jYt6m+5KOyTdfTrUUmC/Vd03Rdy5aJ+8dGm5dLTkDEVH1LjuRyRirxlVpKEop7Ic2Ne7qRTN5I3lul4FUhAKDZd82l7eb9fO5p8xt1If0AABAzSURBVKOu17j0iD6TUPWLZYHSDI/LWmBkNDKyfCOjS7kDT7UrdQ/1XdN0d3XLpfy6ErdsG9fbH7K7S7ax6Mct2zl8apCfFFsW7bPNZ1yUy8PDGrMjTIud58X9XAsJybbn08rBEhPlXz92MiLfTy53iq0zZq3vBK3/vX3MWyF9zrLN3d1c8AY+SHJxq58B5NgBjesceDgPQza0tYSzIrGfGHvMfck3zLPddtHz2aqV54y2e+57YcLQn4KEoAFnQhp1kvT55mxcqnTdL8Dcpye7lN7Jrc2ji8Rlqpq2gubKs2oBtkWcFRjzyYJsEoZsT7jKlZgUU58KXlqt63rv3Hf4+3Edy+04000bgP+5kY3nxpJM5spp1Xo+KbTMq2aZSV2U88PNWthl/V/aP87gRRpPW9MXV9Pub7yZIafACEgyM0qX/nzw6uuUYaHvsNaJDute4yayGbAmOW45VV88PHiOTcDDOae0YOXZmdhPjB2qb2alyQZGrTxk5Tn9pvuLQQlRA87E5WAkp20iXYCpKdZu+g3viMaTPgUrqi8H28TN1Hr+XZCd1QH7uS5yJSYliUr+LvV1Vt+p6A7vn7dHoZqK7rQTu7CnKd2F7c/Nu0G6vPKsU86I+FkL1TdbbFd5lY2LBtnyAGtmySkxAm0mRkpdLHe3fbCGCi7znao1+O3mUizA6AEGWr6L1ReOawo4nIvfC6ovJ2KmtZNhh+qbaT3luVNV33wZ4wLLAG+AxR5b8Gk9W3WVZBTqEBKgpOmvvnNcpkrmVFDwi2kBWuFyRbPLWIWcLK/0K10JSQHtuBMLfb3Vd0roU9GdcuvXxy8wyeA7sf8ja4ObVF9IuSgzXtZW9fXwQtWXLMPK1deUU2JEfpeMyHJ6OYGGdxWSDEt8p2rNf/u50FsKPQxgy/FAYwaO6wxoOBeUNqm+Zlo7GfaZ+xrTEd7viXNf2M/aJZ6vghSypFVXa+5bzkplATjNbea+ioJm9U1/oeVxNvfVA4NxG8lCdda4UmWaTspOnPR1V99Hpv76fZ32NP36+HX7JHXLnqG+6yVkxdwXHn7WVXNfdMAJ5ecbeWaMigqYdyKCpvyc0dQeL4M7ZVjmO1Nrbe6rctkmwB7gg98140zDma88bT/3fQEc+NwXWpUs6VGz3VvhxsWuvjkpIc/SGLm3YBoDGjCx712byEmFBtQl4V7FEgDQdFdfXkc8CvZKOFsWGG9EPc99mQp9QTbdMYxNqVEXuRKTYtqVBi8Fc8Xt++P4vP13vf5Kc6mv39fb201LrFOv9CrQNNOy5k/kra4ayoyIkzVglwtm8Cqmobc/9Ef2BJQ1s+W06gpn9PXxNtbg+bkAovB5+0+TYZHvdK3hbzeXfFFBCwPcklTfIuzRuCYAw5m+rJLnAaV+LkzsJ8Y+/+KIr0eaM9W5y+QD/PQ+kVWnZTMpcZaD1hQzeqwBFzv/98dY1qZt4dyXr47YAjCaZvXVuDgUHEq/1FggZ1G8fQwDY/5dkGXnc6MucqXqH1Lv80ZcXztu31NizRZd/9zoK7ViXiYvFWuTmPyYVxT5IrBCuTzcrDm7UjCVF13/zGbMjzNvtytby9WJ1608M0afb9NKLLpRcMqw0HdIa+MWzc1l0ut6ezPCALd8B0OqyBIwD7BRMzdvu2LuKyec4pI/sZ8Y8aXJZ8CzYBn4JniPwziM948qm8Wx4xHYElF9n4Govj8I73EYR1TflzkCWyKqbyAQCAQCRyOqbyAQCAQCRyOqbyAQCAQCRyOqbyAQCAQCRyOqbyAQCAQCRyOqbyAQCAQCRyOqbyAQCAQCRyOqr4qd/mHuSrK8+wKCL/Rvjl9I1G1hKn6kZbbi9WO9uQlOaL0TivQieJ3qiz/Dvbnn5W9578Zkg+4HVV/1657AO4ux1AvPSQS7cfVX3+UiLPqu/Ro46UROH3FIRlqDDUQ6iVZr8tsSFV6n+o6I6nvK6ruCqE3nJGNTxAmq7y48nlp9AyNOPxZ+QvW1Gzy5+qKP3Refu+675tJ28ye27+kz9l3vuNq0Ld2/sfzzwQR+pVv5dLegAvmWd9eaBPtsOz1hh+nUQSILLTZf5xMduI8CUiZdlLZeQHxzCZlxCmbYHRrbzCa4bZUXyPYSY3u281R2Hnf3+6VrL5dL0yhm0S1gs1N2+sobYMX1sSCNoNVeUMQV6EjGyTRS80OFebFo3LPlhgFluNbmN4+tSpprxwIeBbVC2pl5jUgosXDbFiocPJCN/FavwjAMG1bftIcdEQhsJ5dv2JM1MK+CuX95x5EKHymB8KQAdqd5YVpAgmT7K7BJFunQdb1AVrCYWH1Je/3Gq5+39IJdRE+xPRJlNtg7qjCFTRA50sXnhTllw81W8vO4O9Zas0/1be9M2gwDTBg1QIpLY4GNU9/tvN8LOUqOAh1yNeX0TCM9P0AKCqOpqerZXI0sXOvzm20rRHPNWJBHQZ2QjrzN91OtEAlkddVxxw9kO79VqjAMw3bVF+1wm1haW6mT+1zrql59qRioMNrll8U6EEnngnao5AlCrKl5B6Ul8a+V/6fLsIvJF98LQA6eOjS10Vyx1As8kESqcvfqk5XVl7oDOld3q+JEU0EQnDXV1zsWKNTMAJjnxtFzAiaimlfUD3o210NMPL78ZtrKM+hqxwJXZIGQVXkbpEFLJEVHl6H2H8i11ddUYRiGzaovzQiA43R57+rbZwsAZEGbndQ0sWJdIJhuBKUbzmndBpP1W+zxg7YXooJIygqen+9G1bcUprAJIgf+0r3gr75K90Jr2z7e6ltawAwDSBg2wHkQjoVNq685uDhHYZhj49RUX5d5KWzPlpqkcF2W33RbQZorxwLUo1ZIf96ea2GVSMUFbAdZhQMGcm31NVUYhmHH6pudecrcVz+paGLFukSw7xq8V3vW5CJpKlnMM9GRkktafZHt7/FUQQfr3mnRyYUpbILIgb90L/irr9I9iTXnEf3m2ld9/e7Q3ar08ii449xXoOGpvpJx/NXXaV5RNnN+RjqNVaoyv9XZavHcF7WUzjuFrMrbyhKgs/piO0jNDxnItdXXVGEYhu1Wnnu2ok/4w0BaWH1LY/M/5373Fiy805PSY6pEUBAJEhyNgGj2XZt6tneBrGAx+sAlM2P2aEibdaTLsIvhKRpIYv4QvKMIU9okx0IvVFRfuXuptRXJKAhd7hAzqeZW3AApjqKUj1OtJqwYC5ne5XNfRkc0jrv63r3mLWXTPUuaFuFan998toLPdJePBabIEiHdeftOnvFXiFQGIbYDVmHPgcw5egeLqcIwDHu980xGOvl7m+qbyMI/qRjZTU1x8l6+fcL1UETCXGTf3KfXJfliUnmblluMnGs7Nj2ayApTbnQZdoGegitkpbXJeewOWZjCJgWWeaGm+uLuutbSE9lMaym0mAUkvQy3ogZYcWssFOMUprmlYwFRuci3noJx3NW395sXi6Y+ax9QuNbmN4+tUAZYNRYgi1ohzcwMR41fpEJHyQ5QBYkRFKluICOOzsFiqjAMwwv+e9+NoMTBclQtcZ8bu9jn9NhE659pukDgPHiRMfhDq+8e3iFrDa+PFwnfjbGF1j/TcoHAifAig/CHVt9AIBAIBJ6IqL6BQCAQCByNqL6BQCAQCByNqL6BQCAQCByNqL6BQCAQCByNqL6BQCAQCByNqL6BQCAQCByNqL6BQCAQCByNfarvaf+xMxRsp09vnNMCgZ0QHg8EDsA3Gmgb7rJATHJaA21RfYuPZpef1Of7KJwfo7T8m6cvpMMiaCpWqo+bb0JkDdYMzMMC4CSRdhIxFsCSfC/NjskYZy4uq6SJ6lsvbVZ+Hx9fZ3uQnNYCGn5e9dXwjOq7PdYIENX3VfAsyaP6Pr/60h0l0kYcXcs3g1B2iMD7Usw7izzOFH8Cgn3XXNpu3hfonrY+6frRVqVgfdc0bUs/0izvCTWzSFtktHeyu8LkDL8FxJaCbcoNNNyKG2Zp28yJxZ8PJtB94CRzE1eDkBzVNzfc0bs7TAqNhsOVhbQkm7jBi0CEy1D0kOVB8akb/w4HZp+1GvsyPdwWkCBYm/h6lZW0mKkMgK69XC5NA/TN/VL8XsLFZzo+3jUdS8nvwjCR0zJlK2YJK0J8GSP3nZQosCkuy4vLE2LGgd3mvvMIyzeqTGPfKG9N12cduq4v/4QEe7LH7p0M9EcDItjMZJSdlFD/Ltj9tLlZUpGI4bKA0JKCbVlHcnGN4tpVMGEvb+ug+8BJ5iaA2fpU/QURIjmUn5SMlkdFXthM9QlN19wXycCbQ3ny+GSWlowP5w3EKlyOcmDoFpAghqhjxziHlfSYqQoAe3NBufou4GKbDmxRaeQNSXI6TMQ4L9rLWYKTXZAxsAxyouBklxWX42PGgf1XnrPbbaC+Ro0/Yi2dywhi1tndXzqT7bY7U7M3CpzJTMU2/T8vyw4LSAJjNXmzRYrjq/pYgu5DJx35JREvdamMENMUnpPYOA71ydh0VV8oA29uBE+V8ZEAVGwgBi0vZgAIsF0gtvZaSZFqYVTUV98FXOx0zfOPqaNENB8mphh6lgDt6jMGbeJKFIzssuJyfMw4cGD17bMlBGtpsewz1UnyJyToL0KzD/Jan6UmCaMj5jlvKl9gJqRbwDMkxDthcnnv6isJD3xaeI1po6hfGyH+MaMYzVN9oWyUpqf6Qhl4c8FZY7zm9+CW8dHAzMTIJ/IlKcsCEswQXW8lRaraAIBiKByV6ls1NiG4xraOoDyCxqurrxEhzoyR20dKFIJYS4vL8THjwLPmvghpwQUFU+HWR/HjBKuKUJGg+q5p2tZlzXt7ae+p2D7qLqHut8CC6pudecrcVz9JxCzU4S6G90MS9O7cocVJyWie6rvMdyAfOe7QJbJl0HmMjwamlGjK0ecJAIW9Pr0oWtdbSZGqNgCgGJI60Dx+Lguqr6kjv32Bw2Rl9bUjpHLIUI01m2xRXI6PGQe2qr65QoIX6Ui6t+COtlh377s29WzvxZ+YoLsIoVrfk+ceUxvBtvf20jRNpnLbtgpryQKuDO577ru2+pZRyf/k7uMnuZuA3POAY3mjKkJo9+wqP6kYTXaWpX4+cUShkhNBMhQaalmyDDqP8dHATLFPqzR/6uUMAGmRQgvRHEuspEhVGwBYjEKbZBPet4JLkYJc493KG7nk4jBZV33vvggxAiYzGohVexAtKi5PiBkHNqu+j5gZ5/Gim+dG0Mr36Y2zaQI6nbgk5xQLFYygWWb44oSacKXqWxbqoq3fAq77YtIrDYDcFFtU38yJ/E/sPnYSuCmzUubiUuXKCJEcCpegJKMpxjHVZxKVkEwKx6yVJe/o/TvD+HBgzs2aZkovSBPbAkwiIBoK0fVWUoxQGwCSGEjAtmODpYpL+i2bjo93PW+UkgujbF31BWS5xcyAoWTLWHXE0uLi8oyYMbFd9f0OWHMfE3gGzCQS0LHSVuc09TFSfUvTPRHPNcgzuEf1TSCrDIEXQVTfRUizjnURf1JLv0L1PanpnocnGySqbyAQCAQCPwFRfQOBQCAQOBr/B79ZNRbKzoYgAAAAAElFTkSuQmCC" 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" 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" /></a></div>
This language should probably be cleaned up to say "document" at the least. Also, what's the deal with not being able to write on the papers? Should we extend this rule to pdf marking apps like Notability? It seems a titch silly to me to have this laid out, but perhaps this is for maintaining the integrity of the first draft.<br />
<br />
Next, there is this bit about everybody needing to sign the document physically:<br />
<br />
<img alt="" src="data:image/png;base64,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" /><br />
Can we amend this to say we can 'sign' by a form of electronic signature - in many cases now a reply from a personal email account with a signature block is what is required. <br />
<br />
The last bit I found that needs updating pertains to remotely logging into a meeting (I found this on <a href="http://www.parlipro.org/faqanswers.htm" target="_blank">FAQ about parlimentary procedure</a>):<br />
<br />
<img alt="" src="data:image/png;base64,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" /><br />
<br />
I'm thinking that as time goes along, remote log in to meetings via web or phone will become more the norm than the exception. I haven't been to a curriculum committee meeting in over a year where someone wasn't logging in remotely. I think this one should be changed so the default is that remote login of any sort in real-time should be considered present and able to vote. Being absent and voting only by email, is probably along the lines of mail-in votes, and probably should be prohibited. As the rules don't mention video login or VOIP logins at all, I think this rule needs updating as well.<br />
<br />
As I'm not a parlimentary expert, I'm not sure if these issues have already been addressed, I'm just going by what my school of medicine references as the rules we abide by. It's overall a good system, it just needs a bit of a nudge into the twenty first century. Please leave your thoughts or any updated parliamentary rules links you are aware of below. <br />
Anonymoushttp://www.blogger.com/profile/14755647814671706116noreply@blogger.com0tag:blogger.com,1999:blog-5933517191352318691.post-20425949926502779552014-02-20T11:10:00.000-08:002014-02-20T12:01:01.694-08:006 things to make your medical school lectures betterSo, I realize that many schools are trying to minimize lecture hours, but the truth is that this modality will not likely ever go away completely. As such, I've made a draft of some guidelines for lecturers in the course I co-direct based on common mistakes I've seen. Implicit in these guidelines is the idea that I have a lot of rotating lecturers, and some of these issues can be avoided by decreasing volume of presenters. However, we're stuck in a cycle where I can't really easily change that in the next year. Please share in the comments if you have other things I haven't addressed.<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi0s5pdYA8sRz8BwnkpqCM6dHh5tQe9d3ii0yQTdAR3WAxmyY47T_nQLKXIfXL6FpmveA49rHUoRsKvf24tNKAZEfnAKiP5436A8PASvTKEJHQ4XpCcjC6vgmuFFhQ55GSKYs534cecxrg/s1600/photo.JPG" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi0s5pdYA8sRz8BwnkpqCM6dHh5tQe9d3ii0yQTdAR3WAxmyY47T_nQLKXIfXL6FpmveA49rHUoRsKvf24tNKAZEfnAKiP5436A8PASvTKEJHQ4XpCcjC6vgmuFFhQ55GSKYs534cecxrg/s1600/photo.JPG" height="240" width="320" /></a></div>
<br />
*Note - NSB stands for neuroscience and behavior -a 9 week introductory course on neuroanatomy, neurophysiology with and some clinical neurology, psychiatry, and neurosurgery. <br />
<br />
---------------<br />
<br />
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<br />
<div class="MsoNoSpacing">
NSB lecturer guide:</div>
<div class="MsoNoSpacing">
Please adhere to the following guidelines when giving
lectures for NSB.<span style="mso-spacerun: yes;"> </span>These are general trends
which I have noticed over the last few years in terms of best practices and
things to avoid if possible.<span style="mso-spacerun: yes;"> </span>In general,
please remember that these are students who have spent the last year and a half
going to lots of lectures.<span style="mso-spacerun: yes;"> </span>Things which
seem trivial to you as you only do one or two lectures, for them are agonizing
as they see these issues over and over again for two years.</div>
<div class="MsoNoSpacing">
<br /></div>
<div class="MsoNoSpacing">
1)<span style="mso-spacerun: yes;"> </span><span style="mso-tab-count: 1;"> </span><b style="mso-bidi-font-weight: normal;">Do
look over the slides of lecturers who are talking about related topics to your
lecturer.</b></div>
<div class="MsoNoSpacing" style="margin-left: 1.0in;">
<span style="font-size: 10.0pt;">-
Helps a lot with keeping continuity through the course.<span style="mso-spacerun: yes;"> </span>It would be nice to not have you say, “I’m
not sure if you have been over this before or not.”<span style="mso-spacerun: yes;"> </span>If you are not sure, please look it up or
ask.</span></div>
<div class="MsoNoSpacing">
<br /></div>
<div class="MsoNoSpacing">
2)<span style="mso-spacerun: yes;"> </span><span style="mso-tab-count: 1;"> </span><b style="mso-bidi-font-weight: normal;">Don’t
ever say, “This will not be on the test.”</b><span style="mso-spacerun: yes;">
</span></div>
<div class="MsoNoSpacing" style="margin-left: 1.0in;">
<span style="font-size: 10.0pt;">-
Sometimes it is a minor point in your lecture, but it is a major point in a
prior lecture (again why it helps to talk to others) or a later lecture (maybe
even in the next block).<span style="mso-spacerun: yes;"> </span>OK to say, “This
is a minor point for the purposes of this lecture,” or “For this lecture, this
is primarily FYI.”<span style="mso-spacerun: yes;"> </span>We tell the students
that everything mentioned in class is potentially testable.<span style="mso-spacerun: yes;"> </span>If you don’t want us to potentially test it,
don’t mention it at all. If you must say this, talk to the course director to be sure it REALLY will not be on the test.</span></div>
<div class="MsoNoSpacing">
<br /></div>
<div class="MsoNoSpacing">
3)<span style="mso-tab-count: 1;"> </span><b style="mso-bidi-font-weight: normal;">Try to stay away from disclosure slide
jokes.</b></div>
<div class="MsoNoSpacing" style="margin-left: 1.0in;">
<span style="font-size: 10.0pt;">-
The first person who puts up the “I am actively looking for people to give me
money so I can disclose it” slide is funny.<span style="mso-spacerun: yes;">
</span>The next five are not so much.</span></div>
<div class="MsoNoSpacing">
<br /></div>
<div class="MsoNoSpacing">
4)<span style="mso-tab-count: 1;"> </span><b style="mso-bidi-font-weight: normal;">Please know how much time your lecture is
scheduled for, and try to stick to that.</b></div>
<div class="MsoNoSpacing" style="margin-left: 1.0in;">
<span style="font-size: 10.0pt;">-
Our general lecture block time is 50 minutes.<span style="mso-spacerun: yes;">
</span>In general, we plan our lectures to end 10 minutes prior to the next
lecture.<span style="mso-spacerun: yes;"> </span>So if your lecture is at 10,
you should plan to be done by 10:50.<span style="mso-spacerun: yes;"> </span>If
you bleed over, this makes everyone behind you have to modify their talks.<span style="mso-spacerun: yes;"> </span>If you have a lot of slides left, and are
running short on time, consider stopping where you are at, and recording the
end of the lecture to be posted online.</span></div>
<div class="MsoNoSpacing" style="margin-left: 1.0in;">
<span style="font-size: 10.0pt;">-
If you are the last lecturer of the day, it is OK to keep going (within
reason).<span style="mso-spacerun: yes;"> </span>However, please announce that
it is OK for students who need to leave to be able to get up and go.<span style="mso-spacerun: yes;"> </span>Some students have tight commute times to get
to community preceptor sites by 1 PM or have to walk across campus to do OSCE
testing over the noon hour.<span style="mso-spacerun: yes;"> </span>Also keep in
mind that there are noon talks which occur periodically in the lecture hall.</span></div>
<div class="MsoNoSpacing">
<br /></div>
<div class="MsoNoSpacing">
5)<span style="mso-tab-count: 1;"> </span><b style="mso-bidi-font-weight: normal;">If you are not skilled at PP or basic
functions of the audio/visual equipment, please learn minimum functions.</b></div>
<div class="MsoNoSpacing" style="margin-left: .5in;">
<span style="font-size: 10.0pt;">-
For PP, you should be able to start and stop your presentation, restart<span style="mso-spacerun: yes;"> </span>from the middle of a presentation, go
backwards and forwards using only keyboard, understand what the purpose of a
right click is, start and stop video presentations, be able to disengage
auto-advancing of slides.</span></div>
<div class="MsoNoSpacing" style="margin-left: .5in;">
<span style="font-size: 10.0pt;">-
For A/V, you should be able to turn on and off overhead projector, mute/ unmute
the screen, turn on/off the mic, <span style="mso-spacerun: yes;"> </span>Turn
mic up/ down using front panel controls.</span></div>
<div class="MsoNoSpacing" style="margin-left: .5in;">
<span style="font-size: 10.0pt;">-
If you are uncomfortable with this, talk to TSO, and they can help you learn
how to do these things.</span></div>
<div class="MsoNoSpacing">
<br /></div>
<div class="MsoNoSpacing">
6)<span style="mso-tab-count: 1;"> </span><b style="mso-bidi-font-weight: normal;">Do feel free to experiment with audience
participation techniques.</b></div>
<div class="MsoNoSpacing" style="margin-left: 1.0in;">
<span style="font-size: 10.0pt;">-
Using clickers for in-lecture quizzing, use of pause for students to work
through a problem together, and other techniques are great ways to get students
involved in the lecture.</span></div>
Anonymoushttp://www.blogger.com/profile/14755647814671706116noreply@blogger.com1tag:blogger.com,1999:blog-5933517191352318691.post-28450731686028011652013-12-13T09:59:00.001-08:002013-12-13T10:24:56.841-08:00Does a practicing physician need to be in the primary literature?This post is more of a thought experiment than a suggestion for a new policy statement for medical education. So, please understand part of why I'm putting this question up is to get you all to think a bit about this concept.<br />
<br />
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" 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" 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The underlying theme I've heard over and over ever since I was a resident was that getting data from a primary source was better than an aggregate source. The idea was that everybody is much better off seeing the primary data for themselves, and then coming to their own conclusion on whether it applies to their individual patient or not. Thus, when a student or a resident brings in some medical literature for the team to review, there are more 'points' awarded if the literature is a randomized-controlled trial or a case report, than a printout of 'UpToDate'. I've heard one of my colleagues in a meeting essentially say that he wished 'UpToDate' didn't exist as it was making residents 'lazy'.<br />
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My argument against this idea is that we are teaching students how to behave as they get into practice. I've talked with many friends in private practice, who have good intentions, and do read some from the main journal from their physician group. However, not many of them have the time nor the energy to look up primary literature on every patient issue they run across. Also, the primary literature is messy. If you have time to look up 2-3 articles on a topic like correct choice of an antihypertensive, which primary articles should I choose to look at? How deep of a search into the primary literature is necessary? Should a practicing physician need to know about current animal models on hypertension research? Where do you draw the line? Honestly, I don't have time to go the primary literature for every patient issue I'm confronted with.<br />
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I see this as another area where it used to be OK to be able to keep up on the primary literature for a give topic. However, as the medical literature has exploded exponentially, it is literally going to be impossible for anyone person to keep up. That's where we need to start trusting one another more. Services that aggregate data from primary literature are very valuable. I honestly won't look down on a student looking things up before rounds on 'UpToDate' as that is a practice that will likely be sustainable. Is having them look deeper into the literature sustainable or not? What do you think?Anonymoushttp://www.blogger.com/profile/14755647814671706116noreply@blogger.com0tag:blogger.com,1999:blog-5933517191352318691.post-55844612157023787902013-11-06T12:41:00.002-08:002013-11-06T12:43:24.680-08:00What does your academic rank have to do with how much you teach?I've had this conversation a few times in my time as a clerkship director/ course director in medical school. I have a spot that comes open for some one to do a lecture or teach a session, or I want to start a new educational activity. I ask around to see who is available either from my department or other departments. Often the name I am given is added with the caveat, "...because they need to get some more education activities on their CV for promotion purposes." I'm not saying this is entirely bad. What I am saying is that this statement has some underlying tones that I want to say overtly.<br />
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Part of what drives this phenomenon is the more junior faculty truly may not have done as much in education as they probably should, and as more active-learning techniques are being employed, there is a need for more facilitators. Thus, there is a sense that recruitment needs help. This is true. On the other hand, as this incentive only works through the promotion cycle, it doesn't work for full professors. Thus, the downstream (perhaps unintentional) consequence of this, is that full professors tend to step aside so that the junior faculty can carry the load. This leaves the educational load on the younger faculty. I don't think this is all bad. Many young faculty are outstanding educators. My concern is that once the promotion cycle has moved through its course, there is not the incentive to contribute. And there are potentially good educators who are not educating any more.<br />
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I understand that this does not apply to all senior faculty. I also understand that if a senior faculty member is not doing as much in education, it may be that they have taken on more administrative tasks or their research endeavors have become a more central focus. I'm OK with that also. How time is spent in an academic position is based on a whole host of factors, and many of them are external to the faculty member themselves.<br />
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I'm just asking if we should start rethinking some of the unintended consequences of how we currently do promotion. Maybe a three to four step process (instructor, assistant professor, associate professor, full professor) doesn't fit as well in the 21st century. Maybe the milestones project won't end with the end of residency for academic physicians. Just a thought. I'd appreciate to hear what you think. Anonymoushttp://www.blogger.com/profile/14755647814671706116noreply@blogger.com0tag:blogger.com,1999:blog-5933517191352318691.post-34873468629389467092013-07-19T09:05:00.002-07:002013-07-19T09:06:21.552-07:00Assessment in the new world of CMEI'm at a workshop at the American Academy of Neurology headquarters in Minneapolis working on an online CME activity I am creating for their Neurolearn series. The AAN is working to create online educational tools for neurologists (although other healthcare providers are welcome to view them as well). It's my first experience with creation of online, interactive CME. I'll admit the interactive portions of these courses is still pretty rudimentary, but it got me thinking about how to design these courses as the learning environments become more complex.<br />
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What I've come to realize is that in the CME world of the near future, assessment is going to be huge. If you truly want to develop the learner centered environments, you need to have very solid assessments. The reason is that if you have a flexible learning path on a particular topic (say fall prevention which is the topic I'm working on), you need to quickly and deftly sort out the novice to expert continuum on the topic within a very brief amount of time. If you are relegated to MCQ, you probably will have about 5, and at most 10 questions the learner will likely tolerate before you have to shunt them into their learning tract. And if you mis-align folks and put them in the wrong tract, that will also be potentially disastrous. I would define disaster here as the learner aborting the course before they have completed it. A secondary disaster would be someone who is so bored or confused by the content that they complete it, but do not really pay attention to what was presented. So, your 5 questions need to be very focused, and very strongly crafted to allow you to sort novice to expert quickly. That will take a lot of effort to achieve that.<br />
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So, future CME creators of the world. I'd strongly encourage you all to consider taking advanced courses on assessment before learning how to do cool stuff through web design. Just my thought.<br />
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If you want to check out the current NeuroLearn courses which are available look<a href="http://tools.aan.com/education/webcme/?event=neurolearn:home" target="_blank"> here</a>.Anonymoushttp://www.blogger.com/profile/14755647814671706116noreply@blogger.com0tag:blogger.com,1999:blog-5933517191352318691.post-67805194709731949002013-04-19T11:28:00.001-07:002013-04-19T11:40:39.115-07:00Teaching in an ambulatory clinic - how to make routine follow up unboring<table cellpadding="0" cellspacing="0" class="tr-caption-container" style="float: right; margin-left: 1em; text-align: right;"><tbody>
<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhG3XBQyMS378Vn1-GBcwmhMndvf06cINPccUCbH7JqPc6uhVzWihBTmGDU_K6l8vv0ZRqWIs6LzQUs6tZQtbTO2OoZe50uJoNsALLgCL9h8O597WAvOxVVoMP1hPRzHWohjfeedHisVYw/s1600/Injector_photo.png" imageanchor="1" style="clear: right; margin-bottom: 1em; margin-left: auto; margin-right: auto;"><img border="0" height="274" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhG3XBQyMS378Vn1-GBcwmhMndvf06cINPccUCbH7JqPc6uhVzWihBTmGDU_K6l8vv0ZRqWIs6LzQUs6tZQtbTO2OoZe50uJoNsALLgCL9h8O597WAvOxVVoMP1hPRzHWohjfeedHisVYw/s320/Injector_photo.png" width="320" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">One of my colleagues doing a botulinum toxin injection</td></tr>
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I have worked with students in my outpatient botulinum toxin injection clinic for about five years now. The students who work with me in this clinic are generally first year students. When I first signed up to have students work with me in this clinic, it was primarily because from a scheduling standpoint, it made the most sense as I often have a fourth year student from the neurology clerkship working with me on my other afternoon clinic, and the first year students are in class all morning. It was only after I had the students working with me for a few weeks that I realized I was doing the same thing over and over again. Injecting botulinum toxin is fun to watch a few times, but after that, it all looks the same. I've tried to use some strategies which can be used in any clinic to help students in this experience to still get value out of the clinic even after being with me for 10 weeks.<br />
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1) <b>Discuss communication and encourage empathy: </b> I spend a lot of time talking about how<br />
I try to shift my approach from a communication standpoint with each patient. We talk a lot about how I approach patients who may have personality quirks or special circumstances. As many of the patients in my clinic have been seeing me for years, I try to provide background for the students about how other aspects of their care have affected their lives in general, and how I've needed to make adjustments to their dystonia treatment over time. I can talk about a wide-range of conditions including some very deep discussions I've had with patients about end-of-life issues in the past. This allows each patient encounter to create a space to talk about more than just "This is another cervical dystonia," and turn it into a more rich discussion of this is how I I talked to this patient about cervical dystonia in the light of a new cardiac diagnosis and what changes we made. Those changes don't have to be made that day for it to be a salient discussion point with the student.<br />
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2) <b>Even small amounts of participation is appreciated: </b>This works better for first year students who often have little clinical experience, but I think it does help even with more experienced learners. In the botulinum toxin injection clinic, I will have the students only observe for the first day or so. After that I have them clean the injection area with alcohol swabs, and hook up the EMG ground and reference leads. Although that doesn't sound like much, for a student, it makes them understand that they are being helpful and are a valued part of your team. In truth, it does make things go faster as it takes about the same amount of time to wash my hands as it does to prep the patient for the injections. As possible, I also try to let the students do one injection in a relatively straight forward site by the end of the ten weeks. It doesn't always work out that a good patient/ injection works out on the last day of the rotation. But, even doing one injection for a student is potentially a big deal. Not as big a deal if they were in healthcare prior to med school, but most of the students who have worked with me would probably put that .25 cc IM injection on their list of highlights for the year. You just need to put yourself back in the shoes of a first year student to remember how excited you were to do just about anything back then. Then let the student do a very low risk part of the procedure. Let's be clear, I'm not advocating for the student to do an injection into the iliopsoas (an injection with an EMG needle into the anterior thigh very near the femoral nerve/ artery/ vein). But doing something on a small scale is good.<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgJO0s-8PhMFkHFVOQnMLOFhbsWefQD2FZhoVZNRPLG1amD_hheO6EuvH7ePHP43VlI7y516aUtGONNrRoBa5McJ2rSZ4QCu-LyDnxGE2UYcNV6-CUhenaU2ROQ5jMEFEYXR4weh_YFtK8/s1600/vials.png" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" height="202" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgJO0s-8PhMFkHFVOQnMLOFhbsWefQD2FZhoVZNRPLG1amD_hheO6EuvH7ePHP43VlI7y516aUtGONNrRoBa5McJ2rSZ4QCu-LyDnxGE2UYcNV6-CUhenaU2ROQ5jMEFEYXR4weh_YFtK8/s320/vials.png" width="320" /></a></div>
3) <b>Ask them what they are currently learning and try to find a connection: </b>Doesn't always work, but if they are learning about microbiology, have them read between patients about clostridium. If they are learning about basic physiology, have them read about neuromuscular junction synapse function. If they are learning about cardiac function, have them look up the anticholinergic effects of botulinum toxin. Or if a patient you see has A fib, have them look that up and listen to their heart in clinic. The trick is to try to make it not feel too constrained, and not feel like you are making something up for them to do, but to make it something they see value in learning more about. This also applies to the professionalism or clinical skills teaching sessions most students are learning as well in first and second year.<br />
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4) <b>Show them a bit of the business side of medicine: </b>This again sounds boring to you and me, but most students don't have much exposure to how the billing system works. At least once or twice during the course of their experience with me, I'll have the students look over my shoulder as I input the billing codes for the patients. I explain briefly the difference between a CPT code and an E&M code. I talk about how I put in the prescription for the toxin. I understand this system will probably change a bit before they are billing, but I again try to put myself in the position of where I was as a first year student, and I had no clue what that stuff was all about.<br />
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There are a few lessons I've learned in the ambulatory setting. But using these thoughts, I recently had a student write on one of my faculty reviews how they were worried once they found out they were in a procedure clinic for 11 weeks, but were amazed how interesting it was each week. I also have had students who have been requesting to work with me for the past several years. I'm sure this is not a novel list, and others have thought about this before. Anonymoushttp://www.blogger.com/profile/14755647814671706116noreply@blogger.com1tag:blogger.com,1999:blog-5933517191352318691.post-762609968759660022013-04-13T10:50:00.000-07:002013-04-13T10:50:37.742-07:00How much data should you give in a medical education case presentation?Many people like to use cases to teach principles in medical education. This makes a lot of sense as it highlights how whatever information being presented will be relevant even to a busy practitioner. Clinical cases are also commonly used in assessments to assure that students and other learners understand a concept as it applies in a clinical setting. Most of these cases whether taken from a real case the presenter has seen or whether it is made up by the presenter has a lot of information in it. This is to help lead the learner usually towards a specific diagnosis. I think there is value to this approach, and I think it can be used appropriately. However, I have noticed a paradox being set up with the amount of information presented in a case in a presentation or assessment. The paradox is the more information presented, the less broad clinical thinking is, and the more the case focuses on a single disease state, and the less it focuses on clinical reasoning.<br />
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To begin my explanation of this, let me explain what I have commonly seen, and thus what people expect from a case presentation. Usually a fairly complete history and physical examination is presented with the level of detail normally encountered in a chart note. Sometimes the information is irrelevant, but typically there are key pieces hidden in the data to allow the person to find the correct answer. The goal of the learner is to find the key piece of information which will move them to the correct disease. One example would be a kid with developmental delay who is presented with a really long history. Somewhere hidden in the history is the physical finding of a 'cherry red spot'. For those who are not neurologists, even years after taking boards, there is likely a monosynaptic arc in your temporal lobe which automatically just screamed, "Tay Sachs disease." If it didn't scream this before, it has now been re-cemented in your memory banks to reside there from many more years. The trouble with this is that it can lead to premature closure - most neurologists, especially pediatric neurologists, would argue that there are actually a number of other conditions with a 'cherry red spot,' and if all you think it Tay Sachs, you may miss the actual diagnosis. In this case, the overy complex medical case presentations (or books like 'First Aid') may be doing a bit of a disservice as they are designed to help you pass MCQ tests, and not to help necessarily in the clinic. I'm not arguing the all medical knowledge is bad to know, nor am I arguing that a well-developed schema of important differentiating features of diseases is irrelevant. In some cases, learning about a single disease entity is the goal of the learning session, and this may be entirely appropriate.<br />
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What I am arguing is that we should consider using cases which don't have the hidden key word which points to a specific diagnosis if you are trying to teach about a broad diagnostic topic like developmental delay in a kid. I would argue that a very skeleton case with even just a chief complaint, duration of illness, and cursory demographics can be effectively used as a case presentation. This works well for either introducing a topic or as an assessment to be sure your instructional experience has been successful. The first thing I hear from audience members when I put up a slide with not very much information is, 'I need more history, and a physical.' Why? I think part of it is that it is true that you do need more information, but part of it is they are not used to a format of learning where the answer is not supplied on a silver platter. Think back to how many case presentations you have been given that didn't have that hidden factoid in it somewhere. But, I'm not trying to teach about the factoids with these cases, I'm trying to help people learn about the depth of their illness scripts.<br />
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In other words, everyone knows that an expert clinician in a particular area has an ordered differential diagnosis in their head way before the hidden factoid is presented. However, we don't spend much time in education with ambiguity. We like to spend a little time on the differential, and a lot of time talking about the really rare diagnosis or rare variant of a disease. I'd like people to spend more time on thinking about how they formulate a differential. I'm more interested in what my medical students (or other learners) can give me as a differential diagnosis for a person with a chief complaint of parkinsonism, than whether they can ferret out the early apraxia and language dysfunction and correctly diagnosis CBD (corticbasal degeneration). What I'm more interested in is can they come up with an ordered reasonable differential with a little bit of information, and decide which questions and physical exam findings will be needed to work through that differential. In doing so, we build a much more robust illness script for those diseases. Now I have a script for developmental delay for Tay Sachs which is deeper than just 'cherry red spot.' I think we just need to use these techniques more as medical educators so our audience comes to expect working with ambiguity and not certainty. The main reason for this, is that real life is ambiguous. Real patients are ambiguous. And in real life, I'm honestly not sure my fundoscopic exam skills would be good enough in an toddler to actually see the 'cherry red spot.' So, if all I have is that in my illness script when presented with a kid with developmental delay, I'm hosed.Anonymoushttp://www.blogger.com/profile/14755647814671706116noreply@blogger.com2tag:blogger.com,1999:blog-5933517191352318691.post-43077850829157595832013-01-29T09:20:00.000-08:002013-01-29T09:20:40.137-08:00Medical students want syllabus 3.0I've been getting feedback from students over the last two years on what materials they would like to have included in the course materials distributed with our second-year neuroscience course. I have heard a very clear message from the students over the two years I've been teaching the course. The expectations for what is included in the course materials and which readings are required has changed over the last few years.<br />
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Let me take you back to the mid-nineties when I took my medical school course work (and my college experience in the early 90's). Let's call this syllabus 2.0. I received copies of all the slides presented (as long as they were in PP, we still had some lecturers who used slide carousels and they had minimal notes printed - call that syllabus 1.0). In class we took notes. If you missed or ditched class, you could look back over what the lecturer talked about by subscribing to a note taking service which was run by the students. Readings were from the required textbooks. Test questions covered anything in the printed syllabus as well as anything said verbally in lecture (even seemingly off-hand remarks) and anything covered in the textbook.<br />
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In this model, the material is presented, but there is a intentional (or unintentional) fire hose level of information delivered. It was up to the student to wrestle with this large volume of information, distill it down to essential concepts, and organize it in their brain to allow them to pass the test. It was expected that there would be some test questions which were not covered explicitly in class, and the purpose of those questions was to differentiate the top of a group of very highly motivated students. The upside of this model is that if forces the student to be able to analyze large volumes of information some of which is not a core concept, and independently synthesize the important concepts. This skill is not outside of the required skill set to be a doctor in a clinic. The downside is that there is room for the individual student to miss the boat and miss out on important concepts which aren't explicitly identified as core. Also, this model can increase student anxiety during test preparation as you are not clear until you take an exam if you are missing the boat.<br />
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Let's move to 2013. Our course syllabus was inherited from the above paradigm, and we have been modifying multiple lectures. Hence our lectures don't have well developed outlines or notes by the faculty to accompany PP presentations. Students have on several occasions pointed me towards courses at our institution and others where the course materials include extensive annotation by the faculty in addition to the slides. Students over the last two years have said things like (paraphrased):<br />
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"What I want is to have everything I need to know about this lecture written down so I can go learn it."<br />
"I don't want to have links to a whole bunch of useful information about a topic, I want a single link to a very succinct, applicable resource."<br />
"Even if the syllabus for a class is 450 pages, if it is all I need to look at, that's what I'd prefer."<br />
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Another way to state this is the students would like a curated information repository which is finite, organized, and focused on the learning objectives. This sounds to me like it is mirroring discussions about moving from web 2.0 to web 3.0. In other words, there is a desire to block out noise and focus on what is important to the individual. Thus, all information in the course materials is honed to efficiently deliver information necessary to perform well in the course.<br />
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The upsides of this is that is very clear what the student is expected to learn. From a pedagogy standpoint, this is an ideal situation for an educational model based on measuring competence. Hence it is clear what measure to obtain, and all learners can potentially reach this bar. The downside is that this perhaps does not help in the long run as this is not how real life medical decision making occurs. There is no finite set of combinations of signs and symptoms, so often there is a need to be able to process a cacophony of noise and distill out the important ideas. There is always more to read or more detail, and part of being a doctor is gaining skills in deciding how to be your own curator.<br />
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Which is better? My view is we should aim in the grey of the middle. I think it should be clear what is necessary to pass the exam, and if all material covered in class, small groups, and presentations is mastered. I agree that if there is a picture slide, that it is reasonable for a lecturer to include some text to create context for the slide. I do think it is also reasonable to have some way of assessing whether a student can surpass these minimal competency levels. On an exam, that means asking questions which may not have come specifically from the readings. It may introduce a novel topic and apply the concepts learned in class in a new way. What are your thoughts on how much detail should course materials contain?Anonymoushttp://www.blogger.com/profile/14755647814671706116noreply@blogger.com0tag:blogger.com,1999:blog-5933517191352318691.post-27837758407662194642012-10-19T09:54:00.002-07:002012-10-19T09:55:46.937-07:00How we teach medical students to view other healthcare providersI've been thinking about an aspect of the 'hidden curriculum' lately. It came up in reviews of the neurology clerkship over the last several years. There have been a few comments over the last few years about staff and residents making statements behind the closed doors of the conference room about the competence of colleagues from other departments and other institutions. I don't think this is unique to our department or to our school of medicine. The question I have is why does this happen?<br />
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I know this is not unique to us as I encountered these same scenarios as a student myself on all the services I rotated through. This is a typical scenario, a resident takes a call with a request for a consultation by another service. They hang up the phone, and break into a tirade (sometimes with expletives included) about how stupid the person/team was for not being able to address this problem by themselves. Too often this exchange happens before the phone is put down, and it can grow into a literal
shouting match. I've seen this same pattern after discussions with support staff for a lab value or to call an on-call tech in to the hospital ob the weekend. There's also the easy target of the referring physician from a smaller hospital who called to transfer a patient. Often these comments include jokes about the intelligence of the people on the other end of the phone.<br />
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So, why does this happen? Let me discuss one possible reason. First, from a medical training perspective, I was taught very early to be a critical thinker. Much of clinical reasoning - especially diagnosis and treatment decisions - occur in a vast grey area between the seemingly sharp lines of common diseases and syndromes seen in medical school textbooks and lectures. This means you should approach every patient's problems from the beginning and rework the steps to diagnosis to assure yourself of the correct diagnosis and treatment path. Taken in a positive way, if you come to a different opinion than previous providers, you can potentially change the treatment course and make the person better - which is good. Taken in a negative way, every time you do this exercise, you find that there are many people who don't think like you do, and you can start to get the idea that you are the only provider in the region who has competence. This bias towards thinking that presumed errors are based on incompetence are sometimes actually true - perhaps the provider is indeed not safe to practice medicine. However, I think this is not really true as often as may be grumbled about int the confines of a conference room. First, clinical presentations are often subtle initially, and just the fact that you are evaluating the patient later makes things clearer. Also, you already know what didn't work which usually helps narrow the differential diagnosis or treatment options. Also, you have no idea what the context of the day/ night was for the provider as they were making those decisions. Again, I'm not saying that every misadventure is justified, but I'm saying as professionals our job is to take care of the patient. Out job is not to jump to conclusions about what happened before we were there.<br />
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This behavior then gets passed along to our students who see it modeled all the way from residents to staff. It's accepted as normal behavior, and like other parts of the hidden curriculum it is passed down from one generation to the next. Please remember this the next time you are tempted to make a disparaging remark. Now, I'm not saying good natured joking and friendly competition should be outlawed. There are very good jokes out there about neurologists, and I know some good neurosurgeon jokes. Humor can help us all deal with stressful situations. I'm not for banning it completely. I'm just asking for some thought before making a sarcastic comment about a colleague. Would it be OK for that person to be in the room with you when you say the comment? If yes, then it is likely just some banter. If no, it may be time to rethink. Especially with students in the room.<br />
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One final thought. The other side of the coin is that we usually hear back from colleagues who tell us about things we did well. Rarely do our colleagues report back to us on things we could have done better. Thus, you likely have a reporting bias on your own performance on these types of issues. So, be careful who you are criticizing as it may well be yourself.Anonymoushttp://www.blogger.com/profile/14755647814671706116noreply@blogger.com0tag:blogger.com,1999:blog-5933517191352318691.post-1023928066198914722012-09-14T15:45:00.002-07:002012-09-14T15:45:30.377-07:00Medical eduacators - no degree required?Higher education has a this little secret. Although it is getting better, most of the people responsible for delivering content and designing curriculum don't have a degree in education. I'm not saying I'm the most learned educator, but I do have a undergrad degree in education. I frankly fall back on the learning theory and curriculum design background daily as a medical educator. However, my colleagues around the country don't have that. I'm not talking about going to a one- or two- day seminar on teaching skills. I'm talking about a degree from a university or college that states you have completed coursework in education. I don't see that around these parts much. And I honestly think medical education (and higher education) suffers for it.<br />
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I'm not saying that there are not good teachers in medical schools. There are wonderful and devoted teachers in every aspect of medical education. Also, years of teaching does help refine one's skill, and many medical educators have 'learned on the job' and have a decent knowledge base of educational theory. I'm also not saying that everyone who has an education degree of some ilk is automatically a great teacher. I'm also not saying that this is at any medical school in particular, but really it's everywhere.<br />
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What I am trying to say is that just like I'd rather see a cardiologist for my chest pain than a pediatrician, I'd rather have someone with some training and background in how learning happens and best ways to do education be the person teaching our future physicians. There, my rant is done, and I feel better.Anonymoushttp://www.blogger.com/profile/14755647814671706116noreply@blogger.com0tag:blogger.com,1999:blog-5933517191352318691.post-56917787554321796802012-08-10T10:32:00.000-07:002012-08-10T10:33:19.700-07:00Clinical assessment variability - what is really causing it?There was a recent article in <a href="http://journals.lww.com/academicmedicine/pages/default.aspx" target="_blank">Academic Medicine</a> by Dr. Alexander and colleagues from Brigham and Women's Hospital describing the amount of <a href="http://www.ncbi.nlm.nih.gov/pubmed/22722356" target="_blank">variability in clerkship grading among US medical schools</a>. They found that, unsurprisingly, the grading systems for the clinical years had really no consistency at all. There was inconsistency among the grading systems used (traditional ABCDF or honor/pass/fail or pass/fail) - (<a href="http://journals.lww.com/academicmedicine/pages/imagegallery.aspx?year=2012&issue=08000&article=00019" target="_blank">table 1</a>), and even within the schools which used a similar scale the percentage of students receiving the highest grade was all over the place (<a href="http://journals.lww.com/academicmedicine/pages/imagegallery.aspx?year=2012&issue=08000&article=00019" target="_blank">table 2</a>). So, the question is what do we do with this information? I think no one really expected findings that were different, but now the answer is out there, in print (or on digital reader screens).<br />
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I think part of the answer to where we go from here is to decide if this article was really asking the right question. The authors do start to talk about this in the discussion section, but I'll try to lay out my thoughts with a little different spin than they gave their discussion. I think the real question is what are we using the assessment of the clerkship performance for? What is the essence of what we are trying to measure? Only when there is broad consensus not only between schools, but within the individual courses of each school will there get to be any semblance of uniformity of grading of students. I see at least two competing interest which influence how a clerkship director decides to come up with a grading system. The first is the idea that the students should be measured on how competent they are in the area the clerkship is grading. In other words, when they are on call as a first-year resident or as a 50 year-old physician, do they have the knowledge and skills to assess a patient with a given problem. Second, the clerkship director also wants to be sure that the students at their school have a fair chance to compete for selective residency programs. Thus, there also needs to be a system to distinguish high-achieving from low-achieving students. The first system is more about the individual student, and with this system, by definition, everyone should be able to achieve the highest score with enough effort and work. In the second system, it is more about evaluation of the program, and the group. In this system, it cannot be possible for everyone to achieve the highest score. However, the system can be manipulated on both sides to aid students or to make it more hazardous. There are benefits and risks of each system - as with anything in medicine.<br />
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I don't think these interests are necessarily incompatible, but they create a tension which I've seen in national meetings and in local curricular meetings. I also think most clerkship directors are not aware of how this tension affects the grading system they have developed. I think their not aware as the debates I've heard are usually about tools for assessment or the numbers of honors. Rarely does the debate get to the level of what is our ultimate purpose for the assessment. The answer to that question must shape how grades are assessed. Only when we all become very clear about what we our goals are for the assessment will we truly be able to come to a place where we can have a national dialogue about how to unify the system.Anonymoushttp://www.blogger.com/profile/14755647814671706116noreply@blogger.com2tag:blogger.com,1999:blog-5933517191352318691.post-3818228386883143312012-07-11T16:21:00.000-07:002012-07-11T16:43:01.063-07:00Simulation training vs natural history in LP battle royaleI read an article on the <a href="http://www.neurology.org/content/79/2/132.abstract" target="_blank">use of simulation in teaching lumbar puncture (LP) technique to residents</a> by Dr. Simuni and her medicine colleagues at Northwestern University. I thought it was a really interesting article and helps to add data to the idea that a curricular plan in medical education which includes deliberate practice and simulation does a really nice job of teaching learners a new skill. It hints that this deliberate practice in a logical fashion is better than the traditional model.<br />
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I'm not so sure this paper really definitively answers the question that this practice is superior to the traditional training model. In brief, the article pits final scores on a mastery checklist of first-year medicine residents who underwent a three-hour educational session including simulation to teach proper LP technique against neurology residents who were asked to simply do the LP simulation while being graded on their performance on the checklist. I think this result may stand over time and additional studies, but I have a few problems with it. First, the neurology residents were not shown the checklist. I think this is a big deal. I don't know the proper place to do that to get adequate controls, but essentially the medicine intern group was taught to the test. It was deliberately pounded into their heads over the three hour session that these are the things they are going to be graded on. That's what deliberate practice is all about. It's about repeating something to get it right. To my mind, that is teaching to the test. The neurology residents weren't given time to familiarize themselves with the simulator (at least it didn't say they were). They also weren't oriented to what they would be evaluated on, so of course they didn't perform as well on the checklist. As they have likely done multiple LP's it might have also been easier to skip to inserting the needle in a simulated environment as it feels artificial, and it feels like this is the ultimate goal. It might have been more useful to go to the bedside of the next LP these residents did and see if the 'real world' performance was different between the PGY-1 group and the neurology residents. I doubt any neurology resident would forget to get informed consent in the 'real world' (but I may be wrong). Maybe the simulation training in part, trains you how to take the final simulation exam. I'm not saying that it was not a good idea to do the simulation training, I do. I'm also not saying the checklist is invalid or has no practical applications, it does. I'm saying that the PGY-1 group had the deck stacked in it's favor. <br />
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I would also argue that the way I learned to do LP's was essentially with deliberate practice over time with multiple patient experiences. When I was first starting, I had a senior resident or faculty over my shoulder giving me feedback on my technique. Could this have been improved upon by adding a simulation session at the beginning of my training, absolutely! But I don't know that this study really proves what they say it proves which is that traditional training is inferior to simulation, and neurology residents can easily be schooled by interns fresh from the simulation lab. This is shown by comparing the<a href="http://www.neurology.org/content/79/2/132/F3.expansion.html" target="_blank"> neurology residents with the interns at baseline</a>. The neurology residents were all better just eyeballing the data. I think if you had put the neurology residents through the training, they also would have achieved a higher level of mastery. *That's a neurologist talking of course :)<br />
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I do want to say that I am a bit concerned at some of the <a href="http://www.neurology.org/content/79/2/132/T2.expansion.html" target="_blank">mastery items the neurology residents missed</a> (as were the authors). The anatomy questions would have likely been taken care of by brushing up on the anatomy before the test, but you could argue especially a senior neurology resident should know that. The authors were concerned about anesthesia, but that could have been a function of being in a simulator vs 'real world'. It could also show how one of the schools has a local practice which is different from national norms. The setting up of the tubes and manometer in a proper fashion is a bit vague to me, and I'm not sure I'd know what the proper position should be for that. I wouldn't make that a make or break point on this procedure. Not saying how I know this, but one can recover surprisingly well with the one handed method of unscrewing the caps in a pinch.<br />
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So this is a long response to the article as the editorial that accompanied it was trying to make the point that the traditional model was inferior and should potentially be reconsidered. I don't think that is what this study showed. I think it did prove that mastery level is attainable with a 3 hour simulation lab for PGY-1. I'm not sure it really proves they are better than neurology residents. They may be, but I don't think this was a fair assessment of that.Anonymoushttp://www.blogger.com/profile/14755647814671706116noreply@blogger.com0tag:blogger.com,1999:blog-5933517191352318691.post-36289396773587460522012-06-29T10:09:00.000-07:002012-06-29T10:09:03.974-07:00Augmented reality for neurological education simulationsI am laying down a challenge for app developers out there who know more about programming than I do. This challenge comes from a day-long <a href="http://iamse.org/conf/conf16/index.htm" target="_blank">IAMSE meeting</a> course I attended over the weekend on state-of-the art medical simulation tools. What I saw was some pretty cool simulation is available today to replicate many physical signs and to help train on various procedures. These simulations have come a long way from when all Harvey could do was teach you how to pick up a murmur consistent with mitral stenosis. Now you can check blood pressure, pupillary response, breath sounds, and the mannequin can even talk to you.<br />
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The trouble (from a neurologist perspective) is that current simulation is great for cardiopulmonary physiology and simulation, but it leaves a void for the neurological exam. It can teach laproscopic surgery, mimic a prostate nodule on DRE, and a lot of other things. But aside from pupils and having the machine shake to mimic a seizure (which I haven't seen, but from the description, it sounds like a very large Tickle-Me-Elmo type of convulsion - ie all trunk movement and not much arm or leg movements), the neurological exam is as yet uncovered. I think a lot of that comes from the fact that the neurological exam will require pretty advanced robotic arms and legs to mimic things like fine finger movements, and strength testing. Hence, essentially you can equilibrate an essentially comatose person's exam for the most part.<br />
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I see an opportunity for augmented reality to step in while the robotic simulation takes time to become more sophisticated and cheaper. I could imagine using a real person as a simulated patient sitting in a chair, or a simulation mannequin in a gurney, and have the student hold a tablet up to the person so that the view screen is over the torso. Then an augmented reality protocol could take the image of the arm from the simulation, and overlay a realistic-looking tremor. Or you could overlay realistic ataxia with heel to shin testing. Or you could overlay a realistic tongue deviation, tongue fasiculations, or palate deviation. Thus, you could more efficiently create a high fidelity simulation with neurological deficits. I've asked my bioengineer friend about this, and he said it could probably be done, it'd just take money to get off the ground.<br />
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So, there's my challenge. Create an augmented reality neurology exam simulation. I'd be interested to hear if anyone is already developing something like this, or if someone if any app makers would be interested in making this happen.Anonymoushttp://www.blogger.com/profile/14755647814671706116noreply@blogger.com1tag:blogger.com,1999:blog-5933517191352318691.post-18545570903432400152012-06-15T11:17:00.001-07:002012-06-15T11:17:19.244-07:00Use of Tablets in Medical Education - What we can learn from ManchesterI've been watching a series of <a href="http://vimeo.com/user8895511/videos" target="_blank">presentations by students </a>at Manchester Medical School where they discuss their use of the iPad in their studies. This is the end result of a project where students where issued an iPad in a pilot project at the beginning of this year. I don't think any of the presentations in and of themselves is ground-breaking. What I think is very innovative about this program is to have the students take the technology and apply it to problems they identify. This is not a top-down approach where an instructor is listing apps the students can use, and then evaluating whether the students do what they are told. <br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjXnaCrK5EKpax-1ukao1jFaWzH0wfnwkVKdtb3xhzD_XJL2VIfdr6rMHAZGjS01SML0vDpwnFfeogkI0Nzi8bUqFYiPPvLksTMlu8o-9ZPz3TZT-awNqAq9vrmjr2AQzBia2sYelijBk8/s1600/iPad.JPG" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" height="200" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjXnaCrK5EKpax-1ukao1jFaWzH0wfnwkVKdtb3xhzD_XJL2VIfdr6rMHAZGjS01SML0vDpwnFfeogkI0Nzi8bUqFYiPPvLksTMlu8o-9ZPz3TZT-awNqAq9vrmjr2AQzBia2sYelijBk8/s200/iPad.JPG" width="200" /></a>This is really a problem-solving exercise. It's learner-centered learning at it's very core. Give a student a tool which has over 30,000 apps available plus web capability, now the students need to go and figure out how to best use it. First, they all identified problems they had in the past - <a href="http://vimeo.com/43967275" target="_blank">forgetting important papers at home</a>, <a href="http://vimeo.com/43965753" target="_blank">having notes highlighted beyond recognition</a>, and <a href="http://vimeo.com/43969002" target="_blank">inability to physically lug all those textbooks</a>. They sifted through the app landscape, and came up with some remarkable ways to use the technology. This is crowd-sourcing at its best. This is truly the future of technology in medical education. It's not about the downloading the coolest toy out there and jamming it into a curriculum to make it do something, its about finding the right tool to use to solve the educational problem in front of you. The students found ways to get around problems with creating and filing notes, filing reading to do later, communicating log data to their supervisor, and creating study aids for <a href="http://vimeo.com/43964895" target="_blank">themselves</a> and <a href="http://vimeo.com/43969759" target="_blank">their classmates</a>. If all the students at Manchester did this project next year, think of the innovations they could produce. Now think about all the students in the UK, or across nations. Again, crowd-sourcing at its best.<br />
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As <a href="http://vimeo.com/33221911" target="_blank">Prof Freemont explains in his introduction to the program</a>, this program is not about one particular format. They chose the iPad for reasons he outlines, but you could likely accomplish similar feats with an army of portable laptops, android tablets, iPads, or whatever the next new thing will be. I do appreciate the spirit of their experiment. And, I'd be happy to come personally see what's going on in Manchester. Maybe sometime next year during football season.Anonymoushttp://www.blogger.com/profile/14755647814671706116noreply@blogger.com1tag:blogger.com,1999:blog-5933517191352318691.post-15652670362579085562012-06-08T12:09:00.001-07:002012-06-08T12:10:44.639-07:00Twitter Live Meeting Stream as a Self-reflection ToolI doubt this post will come as a surprise to many social media gurus out there, but it is something I fully realized only last week. I've posted to Twitter more regularly from meetings lately. It is decidedly a skill which I'm still working on mastering. I think it is a very powerful tool to use while in a meeting to connect with those in the room with you, and also to disseminate information with those not at the meeting. However, I didn't really get that it could also be useful to me as a self-reflection tool. I've seen Twitter used more intentionally as a self-reflection tool in an education setting as discussed in this very nice <a href="http://www.slideshare.net/niw2/twitter-reflection" target="_blank">slide presentation</a> posted by Dr. Noeline Wright. I'd also seen twitter chats put together using <a href="http://storify.com/" target="_blank">Storify </a>or similar sites. I always thought these things were for the people who weren't in the room, and weren't posting live.<br />
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Then I was sitting at the Pacific Northwest Basal Ganglia Coterie (Parkinson's doctors and scientists) meeting this last weekend next to a fellow conference goer. He was getting preparing to jot down some notes, and looked at my laptop which was open to Hootesuite. I had presented about my Twitter account to this group before, so he figured out pretty quickly what live Tweeting from a meeting would entail. But then, he made the assumption that I was doing the Tweeting primarily for myself as a record that I could go back to look at later. Again, maybe I'm just a dunderhead, but when I've live Tweeted meeting updates before, I usually didn't think it was for me. I was thinking about those that may read my stream and learn from it. I've seen data that reflection is better for retention of lecture material, and yet I didn't put that together. I went back through my stream at the end of the conference, and hopefully more of the information will stick because of it.<br />
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Now that I've figured this out, and I plan to go back through my Twitter feed intermittently as a reflection tool. The Twitter feeds from meetings may have other valuable information to mine including using it as a a way to prove that you were actively mentally participating in a CME event. I could be used to evaluate the CME, and also if an presenter has a rich group of streams to look at, it can give them loads of information about the audience for future talk planning. Who knew all this could come from live Tweeting at a meeting?Anonymoushttp://www.blogger.com/profile/14755647814671706116noreply@blogger.com0tag:blogger.com,1999:blog-5933517191352318691.post-90630955258593444622012-06-06T11:11:00.001-07:002013-04-15T08:18:57.527-07:00EBM evaluation tools applied to medical student assessment tools<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgt06zsXs2XlZmTQtJKQLxwE1SCVxo2z2RyNvq7kNqlmCh3DGDoE_fiFyUYeOOno36Xp2JikdLJfE1YI-duNc7IjGk7TzKDRl7LChrpvJxsPJz101IHF6lZHrvc34i_swLlxh5XxxQ7SK4/s1600/OSCE+sim.jpg" imageanchor="1" style="clear: right; float: right; margin-bottom: 1em; margin-left: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgt06zsXs2XlZmTQtJKQLxwE1SCVxo2z2RyNvq7kNqlmCh3DGDoE_fiFyUYeOOno36Xp2JikdLJfE1YI-duNc7IjGk7TzKDRl7LChrpvJxsPJz101IHF6lZHrvc34i_swLlxh5XxxQ7SK4/s1600/OSCE+sim.jpg" /></a>I remember back to the days when I was a fresh medical student taking those first classes in biochem, anatomy, and cell biology. I learned a ton, and honestly I draw on this knowledge-base daily when I'm taking care of patients. I also remember that the assessments methods used during my first year of medical school were not the greatest (in the opinion of a person who was teaching high school physics and chemistry 3 months before entering med school). The number of assessments used in med schools has risen over the last 15 years since I was an M1. However, with a rise in number of choices, comes responsibility to utilize the right choice. Another way to look at this from an pedagogical standpoint is are the assessments really measuring the outcomes you think they are measuring. To attempt to help the medical educator with this dilemma, I came up with the idea that you can apply a well-known paradigm used to evaluate evidence-based medicine (EBM) to evaluate a student assessment. The EBM evaluation methods I've been most familiar with is outlined by Straus and colleagues in their book, <a href="http://www.amazon.com/Evidence-Based-Medicine-3rd-Edition/dp/0443074445" target="_blank">Evidence-Based Medicine: How to Practice and Teach EBM</a>, copyright 2005.<br />
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Here's my proposed way to assess assessment:<br />
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1) <b>Is the assessment tool valid? </b>By this we need to be sure that our measurement tool is reliable and accurate in being able to measure what we want it to measure. The standardized (high-stakes) examinations like MCAT, USMLE and board certification examinations are expensive not because these companies are rolling in cash, but because it takes people LOTS of time to validate a test. Hence, most home-grown tools are not completely validated (although some have been). To be validated an assessment has to be likely to give similar results if the same learner takes the test each time. It also has to accurately categorize the level of proficiency of the learner at the task you are measuring.<br />
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For example, let's say I have an OSCE to assess whether a learner can counsel a young woman of child-bearing age on her options for migraine prophylaxitic medications. For my OSCE to be valid, I need to look for reliability and accuracy. Does the OSCE predictably identify learners who do not understand that valproate has teratogenic potential, and don't discuss this with a standardized patient? You also want to know if it is accurate, in other words does your scoring method give similar results if multiple faculty who have been trained on how to use the tool score the same student interaction? To truly answer these questions on an assessment, it takes multiple data points for both raters and learners - hence why it takes time and money, and also why most assessments are not truly validated.<br />
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The best way to validate is to measure the assessment against another 'gold standard' assessment. How well does your assessment work compared with known validated scales. Unfortunately, there aren't as many 'gold standard' assessments outside of the clinical knowledge domain in medical education (although it is getting better).<br />
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2) <b>Is the valid assessment tool important?</b> Here we need to talk about whether the difference seen in the assessment is actually a real difference. How big is the gap between those who just passed without trouble, just barely passed, and those who failed to meet the expected mark? Medical students are all very bright, and sometimes the difference between the very top and the middle is not that great a margin (even if it looks like it on the measures that we are using). I think the place where we trip up here sometimes is in assuming that Likert scale numbers have a linear relationship. Is a step-wise difference from 3 to 4 t o 5 on the scale set up on the clinical evaluations a reasonable assumption, and is the difference between a 4 and a 5 really important? It might very well be that this is true, but it will be different for every scale that we set up. I've never been a big fan of using Likert rating scores to directly come up with a percentage point score unless you can prove to me through your distribution numbers that it is working.<br />
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<a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgx2UaPM6psNYCqHuETX-vZZZCSvboMAuGWfrwJpiKW42CXkblVSPndKmy9eAeQ8AOAF3WeieK9ARFwdCtinuRHwmJ8fUNH5t2Dbsk1oRCsGDfCJgAG_v42bPUyXlEZa7eLEqGa0hqKmdo/s1600/OSCE2+sim.jpg" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgx2UaPM6psNYCqHuETX-vZZZCSvboMAuGWfrwJpiKW42CXkblVSPndKmy9eAeQ8AOAF3WeieK9ARFwdCtinuRHwmJ8fUNH5t2Dbsk1oRCsGDfCJgAG_v42bPUyXlEZa7eLEqGa0hqKmdo/s1600/OSCE2+sim.jpg" /></a></div>
3) <b>Is this valid, important tool able to be applied to my learners? </b>I think this step involves several steps. First, are you actually measuring what you'd like to measure? A valid, reliable tool for measuring knowledge (typical MCQ test) unless it is very artfully crafted will not likely assess clinical reasoning skills or problem-solving. So, if your objective is to teach the learner how to identify 'red flags' in a headache patient history, is that validated MCQ the best assessment tool to use? Is it OK that that learner can pick out 'red flags' from a list of distractors, or is it a different skill set to be able to identify this in a clinical setting? I'm not saying MCQ's can never be used in this situation, you just have to think about it first.<br />
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Second, if you are utilizng a tool from another source and you did not design it for your particular curriculum, is the tool useful for the unique objectives? Most of the time this is OK, and cross-fertilization of educational tools is necessary due to the time and effort bit. But, you have to think about what you are actually doing. In our example of the headache OSCE, let's say you found a colleague at another institution who has an OSCE set up to assess communication of differential diagnosis and evaluation to a person with migraine who is worried they have a brain tumor. You then apply that to your clerkship, but you are more interested in the above scenario about choice of therapy. Will the tool still work when you tweak it? It may or may not, and you just need to be careful.<br />
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Hopefully you've survived to read through to the end of this post. Hopefully you learned something about assessment in medical education, and you found the EBM-esque approach to assessment evaluation useful. My concern is that in general, not enough time is spent considering these questions, and more time is spent on developing the content then on assessment. I'm guilty of this as well, but I'm trying to get better. Thanks for reading, and feel free to post comments/thoughts below.Anonymoushttp://www.blogger.com/profile/14755647814671706116noreply@blogger.com0tag:blogger.com,1999:blog-5933517191352318691.post-73100961596559985212012-05-25T10:11:00.000-07:002012-05-25T10:47:59.973-07:00Senioritis in medical school - How to motivate the abulic stateIt's that time of year where med students throughout the US shake hands with the Dean, and pull their tassels in unison from the right to the left. In the months leading up to the tears and endless photo ops that mark any graduation, the students are finishing up the last few rotations of their medical school career. Although some students retain focus on their swan-song rotations, in every heart there is always the lure of looking beyond the present rotation to the allure of residency in all its glory. Some have more trouble than others with maintaining drive at the end of the final year. Most students post-match are taking electives or required courses which are not directly aligned with their chosen field of study. This makes some sense for getting a Dean's letter together and positioning one's self to be a desirable residency applicant. Post-match all of this does not seem to matter as much. Indeed, there has been discussion among academic educators that there is a missed opportunity in the fourth year of medical school largely based on articles like this one from <a href="http://journals.lww.com/academicmedicine/Fulltext/2009/07000/What_Training_Is_Needed_in_the_Fourth_Year_of.7.aspx" target="_blank">Dr. Lyss-Lerman and colleagues</a> which outlined residency directors view of how well the fourth year is working to prepare for residency.<br />
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So, I have a bunch of fourth year students in my neurology clerkship, in fact I have only fourth-year students with the exception of a few third-years that can take neurology as an elective in one block in November. These students are largely not going into neurology. How do I try to keep them engaged in our neurology rotation. (Full disclosure - I'm fully aware I can learn more about how to do this. I definitely still get some students for whom my little tricks don't work. This is partly why I'm starting this discussion so that we can all learn from each other). Here are some of my ideas:<br />
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- <b>Have them create their own goals - </b>In orientation, I encourage the students to come up with their own course goals and objectives. I have prepared goals and objectives, and they are held accountable to those, but there may be specific areas they want to focus on as an area of weakness or as an area which is important for their specialty. I tell them that in residency, you will not always have clear objectives which are overtly given to you for every rotation. Thus, I made a habit in residency of picking 2-3 key things I wanted to learn. When I was on cardiology as an intern, I wanted to sharpen my EKG reading skills and my cardiac exam skills. Thus, I had something to focus on while taking care of those patients. Intrinsically created goals are more motivating. I encourage the students to follow that model as they move on in their career.<br />
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- <b>Encourage exploration of topics related to their field </b>- This is partly a student-led issue, and partly faculty development. Often students will stay engaged if the faculty recognizes what they are going into, and discusses aspects of a neurological case which is of interest to the student. For example, we had an OMFS fellow rotating through the neurology clerkship, and I took him aside to discuss a case of a siallorhea I was seeing in the setting of neurodegenerative disease. Sure it's important for him to know how to treat those diseases from a neurologic standpoint, but he's going to be more interested in the salivary issues. This can then be used as a doorway to get them to be interested in the rest of the disease.<br />
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- <b>Try using games - </b>I haven't used this in my clerkship yet, but as a medical student and a resident, we had an attending (Dr. Harold Adams) who would play Neurojeapordy several times during the rotation. Students were put into teams, and asked neuro-trivia questions about neuroanatomy, neurological differential diagnosis/treatment, and neurological history. As a student (and a resident) I really enjoyed this. It's a way to get students to want to read up on disease states, etc. <br />
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- <b>Scare the bejeezers out of them - </b>I will often also play the card that in only two to three short months, they will be responsible for caring for patients on their own (in a supervised fashion initially). Their signature will mean something, and when someone in their care has a neurological problem, they will likely be the first person to evaluate the situation. Starting on July 1. Most students understand this logic.<br />
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These are just a few ideas I've used. Any other thoughts on how to motivate the post-match senior on a required rotation? Leave them in the comments below!Anonymoushttp://www.blogger.com/profile/14755647814671706116noreply@blogger.com0tag:blogger.com,1999:blog-5933517191352318691.post-35703982579472340792012-04-18T11:01:00.000-07:002012-04-18T11:03:29.043-07:00AAN annual meeting blog promotion ideas accepted<table cellpadding="0" cellspacing="0" class="tr-caption-container" style="float: right; margin-left: 1em; text-align: right;"><tbody>
<tr><td style="text-align: center;"><a href="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhElEIeRAeRpdH9iUfGTkf9o9WrDmHJtaGX9R5C1he0Otw5N9aNeYpqL9jLALNYQKhwhvFaviN5hViX7LiThu3Bbi6ihtx52InE81-KMV_Jz-qVwkXd1rwvKQyV97Gs-6kxFnT8qm4drKw/s1600/New+Orleans+meeting+tag.JPG" imageanchor="1" style="clear: right; margin-bottom: 1em; margin-left: auto; margin-right: auto;"><img border="0" height="95" src="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhElEIeRAeRpdH9iUfGTkf9o9WrDmHJtaGX9R5C1he0Otw5N9aNeYpqL9jLALNYQKhwhvFaviN5hViX7LiThu3Bbi6ihtx52InE81-KMV_Jz-qVwkXd1rwvKQyV97Gs-6kxFnT8qm4drKw/s320/New+Orleans+meeting+tag.JPG" width="320" /></a></td></tr>
<tr><td class="tr-caption" style="text-align: center;">From AAN Annual Meeting website referenced in text</td></tr>
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If you are not a neurologist, you probably weren't aware that the <a href="http://www.aan.com/go/am12" target="_blank">American Academy of Neurology Annual Meeting</a> is this next week in New Orleans, LA. The meeting brings to together neurologists from around the globe to learn from and connect with colleagues. A major portion of the meeting for myself is devoted to attending medical education sessions and meetings with other neurology educators. There will be a full day meeting of clerkships and residency directors as well as a half-day session on education topics and a poster and platform presentations.<br />
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As I go to the meeting, I'd like to be able to not only learn some things from the meeting, but also do some shameless self-promotion for my blog. As my blog is fairly newly established, I don't really feel like it is at a stage where I could have made a poster or abstract about its relative worth to the community of educators. As such, I may have missed an obvious outlet for creating interest and awareness in my blog. I was wondering if others who have blogs could comment on creative ways to let people at meetings like this know that your blog exists while being relatively subtle. I'm thinking the strategy of going to the open mic and asking a question about an unrelated presentation that ends with the statement, "...I'm very interested in this as I'd like to include it in my medical education blog found on neuronerd.com." Are there ways of spreading blog love at meetings? Thanks for the advice.Anonymoushttp://www.blogger.com/profile/14755647814671706116noreply@blogger.com0tag:blogger.com,1999:blog-5933517191352318691.post-61344150945359788532012-04-12T10:03:00.000-07:002012-04-12T10:03:21.315-07:00Virtual hospitals - The future of medical simulation?I was flipping through Facebook the other day, and saw a video posted by a friend. It was over 17 minutes long which is eternal in the world of Facebook videos, but I thought I'd give it a try as it looked interesting. It ended showing people from 'The Gadget Show' making a simulator which not too long ago would have been pure fantasy. They built a tent with 360 video output capability that also has a 360 degree treadmill to allow you to move in the virtual world by walking as you would in real life. They also hooked up an X-Box Kinnect sensor to pick up other body movements. They through in a few other cool add-ons, and they ended up with a truly immersive environment for a first person shooter game. You can watch the video <a href="http://www.youtube.com/watch?v=eg8Bh5iI2WY">here</a>.<br />
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I got to thinking that this technology is now available, and could be used in medical school to train physicians. It's not yet at the level of being a <a href="http://en.wikipedia.org/wiki/Holodeck">holodeck</a>, but it is closer than we've ever been before. I could envision a program where there is an ambulatory office building, and the student has their own clinic to run where simulated patients come in be interviewed. The physical examination is done through use of gestures mimicking what the real PE would be, or it could be coupled with a simulation manikin to elicit the physical findings. Then the student has to go back to a virtual staffing room, and dictate the encounter, and order testing. They then move on to the next patient. If you had enough of these built (assuming in the future this type of technology gets cheaper), you could envision having a 'continuity clinic' set up completely in a simulator. This might include seeing some of your regular patients back as they come through the emergency room for acute conditions or even going to the OR. It could be as complex as there is time and money to create the scenarios.<br />
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I often thought in residency that it would be interesting to have an immersive simulated hospital where you could spend at least some of your time as a medical student or as a junior resident. There you could have freedom to make some truly independent decisions and see what happens. I think the advantages to something like this are obvious and are akin to the flight simulators that pilots use to train. It will never replace time spent on the wards with skilled clinicians giving supervision and feedback. I don't think the technology is there for a completely realistic medical simulation. But it is getting closer. Anonymoushttp://www.blogger.com/profile/14755647814671706116noreply@blogger.com2