Health Data Innovation

878
-1

Published on

0 Comments
1 Like
Statistics
Notes
  • Be the first to comment

No Downloads
Views
Total Views
878
On Slideshare
0
From Embeds
0
Number of Embeds
2
Actions
Shares
0
Downloads
28
Comments
0
Likes
1
Embeds 0
No embeds

No notes for slide

Health Data Innovation

  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 • Global institute, Department of Global Health at the University of Washington • Providing independent, rigorous, and scientific measurements 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 • Other funding through research grants • Created in 2007 • 70 researchers, 30 staff
  3. 3. The health data environment Health-related data • Social determinants • Risk factors Population-based data • Household/facility surveys • Census • Vital registration • Registries (provider, disease) Facility-based data • Health records • Administrative data (financial, operational) • Research data (DSS, clinical trials, etc.) Missing: Individual-based data
  4. 4. http://www.ghdx.org
  5. 5. Screenshot GHDx record with file
  6. 6. 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 Innovation is changing the game!
  7. 7. Better health data are crucial for key players Health management Patient engagement Cost containment Quality control Risk prediction Patient data Aftermarket studies Preventive medicine ACO requirements Individuals Payers Providers Producers Opportunities in healthcare Answer people’s needs Access to timely data Data synthesis Big data computing InnovatorsAcademia Healthcare reform Government 2.0 Governments
  8. 8. Health Data Initiative, US Department of Health and Human Services Enabling innovation with three steps 1.Publish government data 2.Make data accessible (machine-readable) 3.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 US government kicked off innovation process
  9. 9. #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
  10. 10. #2: An innovation ecosystem evolves • App challenges kick off a virtuous cycle of innovation • New organizations provide incubation 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”
  11. 11. #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
  12. 12. #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
  13. 13. #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
  14. 14. #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
  15. 15. Key challenges need to be addressed • Privacy vs. access • Data integration • Data quality assessment, standards, and documentation • Business model for health data
  16. 16. 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

×