May 22, 2014, 8:00 AM, Posted by
This post was originally published on The Health Care Blog by Shiv Gaglani, Ryan Haynes, and Michael Painter, MD.
Earlier this month Shiv and Ryan published a piece in the Annals of Internal Medicine, entitled What Can Medical Education Learn from Facebook and Netflix? We chose the title because, as medical students, we realized the tools our classmates are using to socialize and watch TV use more sophisticated algorithms than the tools we use to learn medicine.
What if the same mechanisms that Facebook and Netflix use—such as machine learning-based recommender systems, crowdsourcing, and intuitive interfaces—could transform how we educate our health care professionals? For example, just as Amazon recommends products based on other items that customers have bought, we believe that supplementary resources such as questions, videos, images, mnemonics, references, and even real-life patient cases could be automatically recommended based on what students and professionals are learning in the classroom or seeing in the clinic. That is one of the premises behind Osmosis, the flagship educational platform of Knowledge Diffusion, Shiv’s and Ryan’s startup. Osmosis uses data analytics and machine learning to deliver the best medical content to those trying to learn it, as efficiently as possible for the learner. Since its launch in August, Osmosis has delivered over two million questions to more than 10,000 medical students around the world using a novel push notification system that syncs to student curricular schedules.
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May 9, 2014, 12:25 PM, Posted by
Pioneer Blog Team
Are you interested in the connection between physical and psychological health? Intrigued about how positive health assets may help us stay healthy and recover more quickly from illness? Looking for ways to stay up-to-speed on the latest research?
Check out the new Positive Health Research website, a valuable resource for those who are exploring the concept of positive health.
Some of the more recent research featured on the website includes:
- A study into whether life satisfaction impacts how often someone visits the doctor
- A study that found psychological well-being is associated with a reduced risk of hypertension
Over the past five years, the Robert Wood Johnson Foundation has funded research to help identify the health assets that produce stronger health, in collaboration with the Positive Psychology Center at the University of Pennsylvania. This new website showcases the most promising research around the concept of positive health, providing evidence that has the potential to change the way we think about health and health care.
May 5, 2014, 11:07 AM, Posted by
Pioneer Blog Team
James Fowler is Professor of Medical Genetics and Political Science at the University of California, San Diego. His work lies at the intersection of the natural and social sciences, with a focus on social networks, behavior, evolution, politics, genetics, and big data. Together with RWJF grantee Nicholas Christakis, Fowler wrote a book on social networks for a general audience called Connected.
By James Fowler
In recent weeks, much has been made of David Lazer’s finding that Google’s Flu Trends tracker seriously missed the mark in its measurement of flu activity for 2012-2013—and in previous years, too. For those who don’t know, Flu Trends monitors Google search behaviors to identify regions where searches related to flu-like symptoms are spiking.
In spite of Flu Trend’s notable misstep, Lazer still believes in the power of marrying health and social data. In discussing the results of his study, he has maintained Google Flu is “a terrific” idea—one that just needs some refining. I agree.
And, earlier this month, Nicholas Christakis, several other colleagues, and I—with funding from the Robert Wood Johnson Foundation—published a new method offering one such refinement. Our paper shows that, in a given social network (in this study’s case, Twitter), a sample of its most connected, central individuals can hold significant predictive power. We call this potentially powerful group of individuals a “sensor group.”
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Mar 24, 2014, 1:00 PM, Posted by
Why should I be in the same room with these people?
That’s one of the many smart questions participants posed at a Stanford Medical School meeting I attended last weekend. If I had been daydreaming (I’d never do that), I might have thought the question was for me. You see, the participants were a handpicked set of national medical education experts, folks nominally from the status quo medical-education-industrial complex—the very thing we’re trying to change.
You might think that they embodied that dreaded status quo. I’m happy to report they did not—not even close. I’m also relieved to tell you that the question (in spite of my paranoia) wasn’t for me. Instead, it was one of many challenges these thoughtful, passionate teachers tossed at each other.
“Why are we in the room?” was a challenge to each other. Why and when should teachers be in the same room with the learners?
When you think about it, that’s actually a central question if you’re attempting to use online education to flip the medical education experience. It’s also a brave one if you’re a teacher: justify the time you spend with your students.
Read the rest of this post on The Health Care Blog
Feb 24, 2014, 8:00 AM, Posted by
What convinces college students to get flu vaccines? Read the latest in our efforts to apply behavioral economics to perplexing health and health care problems.
Almost every college student knows that getting sick while at school will have negative effects on their grades and social life. So why do so many students forgo flu vaccinations that are readily available at almost every college health center? Researchers at Swarthmore College tested three approaches to motivate students to get a flu vaccine: a financial incentive, a peer endorsement via social networks, and an email that included an audio clip of a coughing individual to convey the consequence of not getting the vaccine. The researchers found that students offered as little as $10 were twice as likely to get a flu vaccination.
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