I'm a data scientist and PhD student in the health care industry. My interests primarily revolve around finding utility in social data, the application and representation of health data, and general data mining and machine learning techniques. If you're interested in getting in touch, feel free to email me or follow me on twitter.
Writings & Projects
Losing weight sucks, and it doesn’t get easier the older that I get. However, using foursquare checkins, regular weight data, and a few data mining methods, I’m able to learn what places I should avoid if I don’t want to gain any more weight.
Good mental health is fundamental to good general health. So, to track and improve your general health inherently requires you to track and improve your mental health.
Anyone who has interacted with our healthcare system knows that, at best, it’s broken. But, with the right combination of policy and technology, we can make a few giant leaps towards creating a patient-friendly system.
I was given the opportunity to testify before the Health IT Standards and Policy Committees regarding measurement development. While this is a very important issue, there’s a bigger picture that we’re missing in Meaningful Use.
The average 24 year old will spend more time on Facebook in the next week than they will with a physician in the next 20 years. So, naturally, for most young adults, the Internet knows more about their health than any physician - but how can we change that?
Foursquare knows how often I go to bars, my favorite restuarants, where I work, and what I do for fun. But what can that tell me about my health?
The culture of decision-making bodies can have an immense impact on their ability to properly serve their constituents. Here are two dramatically different examples from bodies that I have served on.
After spending a decade preparing for medical school, and finally receiving an acceptance letter, I walked away from it to focus on health technology.
Publications & Presentations
- Schrom J, Caraballo P, Castro M, Simon G. "Quantifying the Effect of Statin Use in Pre-Diabetic Phenotypes Discovered Through Association Rule Mining." American Medical Informatics Association Conference. November 2013, Richmond. Paper Slides
- Caraballo P, Castro M, Schrom J, Simon G. "Survival Association Rule Mining Towards Type 2 Diabetes Risk Assessment." American Medical Informatics Association Conference. November 2013, Richmond.
- Schrom J, Schimotzu S, Poplau S, Larsen K. "Improving patient center medical home coordination in a safety net healthcare system among adults living with HIV." American Public Health Association Meeting. November 2013, Boston. Abstract Slides
- Schrom J. "Checking in for better health." Quantified Self. July 2013, San Francisco. Video Code
- Schrom J. Statement to the Health IT Standards and Policy Committees. Clinical Quality Hearing, 7 June 2012. Text
- Schrom J. "Is it bad I get all of my medical advice from Reddit?" Sage Bionetworks Commons Congress. April 2012, San Francisco. Video Text
- Schrom J, Schimotzu S, Poplau S, Larsen K. Predicting Care Coordination Utilization in Minnesota Health Care Homes. Poster session presented at: Health Equity Summit. 23 April 2012; Minneapolis, MN.
- Schrom J. "The Health 2.0 Developer Challenge Showcase: Analyze This! Developer's Challenge." Health 2.0 Spring Fling. March 2011, San Diego.
- Pederson K, Koening J, Schrom J. "Tweeting, HIV & Young Gay/Bi Men." University of Minnesota, Minnesota OUT! Campus Conference. Minneapolis, MN. 13 November 2010.
- Schrom J. "National Guideline Clearinghouse." Encyclopedia of Health Services Research. Chicago: Sage Publications, 2009.