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hhs.gov/idealab @damonldavis презентация
Содержание
- 1. hhs.gov/idealab @damonldavis
- 2. We are now living in a health care system where data is driving change
- 3. Payment reform Data is changing… Individual health interactions Treatment @ the point of care
- 4. Changing the default setting for data from closed to open
- 6. U.S. Department of Health and Human Services
- 8. What’s being liberated and how is it used?
- 9. Using Data to Spur Health System Transformation…
- 11. OpenFDA More data available in more
- 14. Catalyzing and testing new ideas rapidly
- 15. Partnering with not-for-profits to recruit external
- 17. Demand-Driven Open Data An introduction for data owners http://demand-driven-open-data.github.io David.Portnoy@HHS.gov
- 18. Evaluation & feedback
- 19. HealthDatapalooza.org
Слайд 9Using Data to Spur Health System Transformation…
Data Navigator
Quality Indicators
Virtual Research Data
Слайд 11OpenFDA
More data available in more useful formats via API and raw
Medical Device Adverse Events
Recall reports
Prescription Drug, OTC Drug, Biological Product Labeling
Слайд 14Catalyzing and testing new ideas rapidly
Accelerating proven ideas through investment
HHS Ignite Accelerator
HHS Ventures Fund
Recognizing HHS employees’ innovations
HHS Innovates Awards
Слайд 15
Partnering with not-for-profits to recruit external talent to work on a
Recruiting external talent to work on high-risk, high-reward projects over a 12-month period
HHS Entrepreneurs-in-Residence
HHS Innovators-in-Residence
Слайд 17Demand-Driven Open Data
An introduction for data owners
http://demand-driven-open-data.github.io
David.Portnoy@HHS.gov
Слайд 18
Evaluation & feedback
Complete
use cases
Implement
Prioritized
use cases
Prioritize
Incoming
use cases
Prioritization is at the level of program owner
Consider implementation cost, savings from avoided future requests (such as FOIA), revenue opportunity for future cost recovery, risk of PII/PHI, risk of misinterpretation
Including strategic relevance, agency mission, org priorities, recognition
The decision to implement is not binary. It involves requirements management for potentially multiple interested parties
Input from
data users
Cost,
savings, risk
Internal & strategic factors
①
②
③
All prioritization and implementation decisions are made by Data Owners.
We found there are typically 3 drivers.
