Twitter to Tablet - Weekend Open Source Project for Visualizing HHS/CMS Meaningful Use Data

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LIVE at http://hitech.socialhealthinsights.com

This is a presentation I gave at the 3/13/2013 @DataCommunityDC meetup at @microsoft. It s about a weekend project I started that gained traction in Health 2.0 and HIMSS circles. I have open sourced the code at https://github.com/marks/ONC-EHR-Incentives-Program-Payout-Data

Follow me at @skram or my company, SocialHealthInsights.com, at @mappyhealth

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Twitter to Tablet - Weekend Open Source Project for Visualizing HHS/CMS Meaningful Use Data

  1. 1. Twitter to Tablet Mark Silverberg / @Skram
  2. 2. About Me & Social Health InsightsMe Biz school student that can code Previously: Dual analytics/ engineering team member at a consumer health websiteSocial Health Insights Yes, we really found each other via Twitter (nurses + developer) We won the HHS challenge and formed LLC to pursue our passions Honorable mention in the ONC Health Design Challenge Custom development & consulting
  3. 3. Literally, a weekend project Open source
  4. 4. Timeline1. Saturday PM: Found out Sherry was having some difficulty geocoding data en mass in order to further analyze it2. Sunday AM: I wanted to help so I wrote code to get the several CSVs into a schema-less database and use APIs to geocode and export back into CSV3. Sunday-Monday: Curiosity led to me creating a web app so others can see which hospitals and providers; Sherry shows to colleagues at ONC and we tweak in order to “release” at #HIMSS13
  5. 5. How?Ruby + Sinatra - my go-to GTD language & web frameworkMongoDB for data store - no need to worry about aschema which could restrict future mashupsData Science Toolkit for geocoding - because I couldspin up a server and run it for fast and inexpensiveaddress to lat/long translationsLeaflet + clustermarker plugin for mappingAdded in Foundation UI framework for responsiveness
  6. 6. What’s Next?Government and private sector have shown interestincluding championing attestations and sales/competitive analysisAdd additional views from existing datasuch as top/bottom states/cities in terms of attestationMashup with more data like: Hospital/Provider compare Financial data such as claims and incentive amounts Referral graphStudy outcomes & metrics of MU attestersQuery data via SMS and phone call
  7. 7. Thank You! Mark Silverberg / @skram mark@socialhealthinsights.comhttp://hitech.socialhealthinsights.com @mappyhealth, mappyhealth.com

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