hhs.gov/idealab @damonldavis

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hhs.gov/idealab @damonldavis

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We are now living in a health care system where data is driving change

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Payment reform Data is changing… Individual health interactions Treatment @ the point of care

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Changing the default setting for data from closed to open

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U.S. Department of Health and Human Services

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What’s being liberated and how is it used?

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Using Data to Spur Health System Transformation… Data Navigator Quality Indicators Virtual Research Data Center (VRDC)

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OpenFDA More data available in more useful formats via API and raw structured file download Medical Device Adverse Events Recall reports Prescription Drug, OTC Drug, Biological Product Labeling

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Catalyzing and testing new ideas rapidly Accelerating proven ideas through investment HHS Ignite Accelerator HHS Ventures Fund Recognizing HHS employees’ innovations HHS Innovates Awards

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Partnering with not-for-profits to recruit external talent to work on a shared problem Recruiting external talent to work on high-risk, high-reward projects over a 12-month period HHS Entrepreneurs-in-Residence HHS Innovators-in-Residence

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Demand-Driven Open Data An introduction for data owners http://demand-driven-open-data.github.io David.Portnoy@HHS.gov

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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 ? ? ? All prioritization and implementation decisions are made by Data Owners. We found there are typically 3 drivers.

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