Health Data Innovation Peter Speyer Director of Data Development

1. Health Data Innovation Peter Speyer Director of Data Development Institute for Health Metrics and Evaluation

2. The Institute for Health Metrics and Evaluation Global institute, Department of Global Healthat the University of Washington Providing independent, rigorous, and scientificmeasurements and evaluations “Our goal is to improve the health of the world’s populations by providing the best information on population health” Core funding by the Bill & Melinda Gates Foundation and the state of Washington (‘core funding’) Other funding through research grants Created in 2007 70 researchers, 30 staff

4. The health data environment Missing: Individual-based data

5. http://www.ghdx.org

6. Screenshot GHDx record with file

7. Still, health data are often difficult to find … Lack of transparency about existing health data Difficult to access Access vs. privacy Capacity, cost-benefit constraints Sense of ownership Lack of standards & documentation … but Health Data Innovationis changing the game!

8. Better health data are crucial for key players Individuals Payers Providers Producers Health management Patient engagement Cost containment Quality control Risk prediction Preventative medicine ACO requirements Patient data Aftermarket studies Innovators Governments Academia Opportunities in healthcare Answer peoples’ needs Healthcare reform Government 2.0 Access to timely data Data synthesis Big data computing

9. US government kicked off innovation process Health Data Initiative, US Department of Health and Human Services Enabling innovation with three steps Publish government data Make data accessible(machine-readable) Market the hell out of them Joy's Law: "No matter who you are, most of the smartest people work for someone else” (Sun Microsystems co-founder Bill Joy) Successful examples: NOAA, GPS

10. #1: Data owners open the vaults Governments engage in open government and launch data portals Innovators build data sharing into their model Scientists share more data(NSF/ funder requirement) Health marketplaces offer new ways to reach data users

11. #2: An innovation ecosystem evolves App challenges kick off a virtuouscycle of innovation New organizations provideincubation and (seed) funding Innovators and established players leverage data and create apps and tools Source: RockHealth survey of 110 early stage digital health entrepreneurs, “The State of Digital Health”

12. #3: Individuals get engaged Manage own health and create own health data in the process Demand access to own health data, potential for sharing Engage in treatments Add data to own Personal Health Records

13. #4: Payment reform encourages the use of data Meaningful use of EHR data Focus on quality of care requires Timely clinical data Decision support Data mining Better health data exchange Physicians connect through social networks

14. #5: Better tools make working with data easier Better ways to explore population data Better tools for data users Better ways to explore and analyze healthcare data

15. #6: Timely data are (near) real-time Real-time health data enable tracking and prediction of health outbreaks Real-time health data allow move from infrequent physician visits to continuous health monitoring New: epidermal electronics / electronic skin: patch acts like a temporary tattoo

16. Key challenges need to be addressed Privacy vs. access Data integration Data quality assessment, standards & documentation Business model for health data

17. Health Data Innovation is a game changer Rapid virtuous cycle of data innovation More data collected, more data shared More timely data available Contact me at speyer@uw.edu @peterspeyer