Health Data Innovation (Wolfram Data Summit)


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Brief overview of the work of the Institute for Health Metrics and Evaluation (IHME), the Global Health Data Exchange (GHDx), and innovation happening in the health data space, ranging from Health Data Initiative to health apps, patient engagement, new tools and real-time data collection

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Health Data Innovation (Wolfram Data Summit)

  1. 1. Health Data Innovation Peter Speyer Director of Data Development Institute for Health Metrics and Evaluation
  2. 2. The Institute for Health Metrics and Evaluation <ul><li>Global institute, Department of Global Health at the University of Washington </li></ul><ul><li>Providing independent, rigorous, and scientific measurements and evaluations </li></ul><ul><li>“ Our goal is to improve the health of the world’s populations by providing the best information on population health” </li></ul><ul><li>Core funding by the Bill & Melinda Gates Foundation and the state of Washington (‘core funding’) </li></ul><ul><li>Other funding through research grants </li></ul><ul><li>Created in 2007 </li></ul><ul><li>70 researchers, 30 staff </li></ul>
  3. 4. The health data environment Missing: Individual-based data Health-related data <ul><li>Social determinants </li></ul><ul><li>Risk factors </li></ul>Population-based data <ul><li>Household / facility surveys </li></ul><ul><li>Census </li></ul><ul><li>Vital registration </li></ul><ul><li>Registries (provider, disease) </li></ul>Facility-based data <ul><li>Health records </li></ul><ul><li>Administrative data (financial, operational) </li></ul><ul><li>Research data (DSS, clinical trials, etc.) </li></ul>
  4. 5.
  5. 6. Screenshot GHDx record with file
  6. 7. Still, health data are often difficult to find … <ul><li>Lack of transparency about existing health data </li></ul><ul><li>Difficult to access </li></ul><ul><ul><li>Access vs. privacy </li></ul></ul><ul><ul><li>Capacity, cost-benefit constraints </li></ul></ul><ul><ul><li>Sense of ownership </li></ul></ul><ul><li>Lack of standards & documentation </li></ul>… but Health Data Innovation is changing the game!
  7. 8. Better health data are crucial for key players Health management Patient engagement Cost containment Quality control Risk prediction Patient data Aftermarket studies Preventative medicine ACO requirements Individuals Payers Providers Producers Opportunities in healthcare Answer peoples’ needs Access to timely data Data synthesis Big data computing Innovators Academia Healthcare reform Government 2.0 Governments
  8. 9. <ul><li>Health Data Initiative, US Department of Health and Human Services </li></ul><ul><li>Enabling innovation with three steps </li></ul><ul><li>Publish government data </li></ul><ul><li>Make data accessible (machine-readable) </li></ul><ul><li>Market the hell out of them </li></ul><ul><li>Joy's Law : &quot;No matter who you are, most of the smartest people work for someone else” (Sun Microsystems co-founder Bill Joy) </li></ul><ul><li>Successful examples: NOAA, GPS </li></ul>US government kicked off innovation process
  9. 10. #1: Data owners open the vaults <ul><li>Governments engage in open government and launch data portals </li></ul><ul><li>Innovators build data sharing into their model </li></ul><ul><li>Scientists share more data (NSF/ funder requirement) </li></ul><ul><li>Health marketplaces offer new ways to reach data users </li></ul>
  10. 11. #2: An innovation ecosystem evolves <ul><li>App challenges kick off a virtuous cycle of innovation </li></ul><ul><li>New organizations provide incubation and (seed) funding </li></ul><ul><li>Innovators and established players leverage data and create apps and tools </li></ul>Source: RockHealth survey of 110 early stage digital health entrepreneurs, “The State of Digital Health”
  11. 12. #3: Individuals get engaged <ul><li>Manage own health and create own health data in the process </li></ul><ul><li>Demand access to own health data, potential for sharing </li></ul><ul><li>Engage in treatments </li></ul><ul><li>Add data to own Personal Health Records </li></ul>
  12. 13. #4: Payment reform encourages the use of data <ul><li>Meaningful use of EHR data </li></ul><ul><li>Focus on quality of care requires </li></ul><ul><ul><li>Timely clinical data </li></ul></ul><ul><ul><li>Decision support </li></ul></ul><ul><ul><li>Data mining </li></ul></ul><ul><ul><li>Better health data exchange </li></ul></ul><ul><li>Physicians connect through social networks </li></ul>
  13. 14. #5: Better tools make working with data easier <ul><li>Better ways to explore population data </li></ul><ul><li>Better tools for data users </li></ul><ul><li>Better ways to explore and analyze healthcare data </li></ul>
  14. 15. #6: Timely data are (near) real-time <ul><li>Real-time health data enable tracking and prediction of health outbreaks </li></ul><ul><li>Real-time health data allow move from infrequent physician visits to continuous health monitoring </li></ul><ul><li>New: epidermal electronics / electronic skin: patch acts like a temporary tattoo </li></ul>
  15. 16. Key challenges need to be addressed <ul><li>Privacy vs. access </li></ul><ul><li>Data integration </li></ul><ul><li>Data quality assessment, standards & documentation </li></ul><ul><li>Business model for health data </li></ul>
  16. 17. Health Data Innovation is a game changer <ul><li>Rapid virtuous cycle of data innovation </li></ul><ul><li>More data collected, more data shared </li></ul><ul><li>More timely data available </li></ul>Contact me at [email_address] @peterspeyer