privacy and security workgroup: big data public hearing november 10, 2014 deven mcgraw, chair stan...
TRANSCRIPT
Privacy and Security Workgroup:
Big Data Public Hearing
November 10, 2014
Deven McGraw, chairStan Crosley, co-chair
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Agenda
1. Big data topics– Discuss possible topics for big data listening sessions
2. Anticipated Hearing Dates / Format3. Potential Panelists– Create a list of potential panelists
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Main Topic Areas
Health Big Data Opportunities
Learning Health System
Health Big Data Concerns / Harms
Protections for Consumers
Current Law
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Big Data Topics
1. Health Big Data opportunities: some snapshots of what’s happening out there, potentially exploring: – Clinical data combined with consumer-provided data to improve
individual and population health; – Genomic data– Innovative uses of device data; – PCORI initiatives; – Transparency, performance measurement– Mobile app/social networking site data, etc. – Use of non health data for health purposes (e.g., inferences)
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Big Data Topics
AnalyticsLots of information in
anonymized state
Precision MedicineMust identify particular patient;
longitudinal health record
What can be done without identifying an individual patient v. what can be done when the patient is identified?
2. Learning Health System: 2 Buckets
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Big Data Topics
3. Health Big Data Concerns/Harms: discuss the potential harms with use of health big data, ideally based on some real examples (civil rights / discrimination; economic; reputational)
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Big Data Topics
4. Protections for consumers: – Anonymization/de-identification techniques and
their limitations– Explicit prohibition on re-identification?– individual choice/consent and its limitations– Appropriate use limitations
5. Current law: what does it cover and where are the gaps?
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Anticipated Hearing Dates / Format
• Anticipated hearing dates:• December 5 and 8
• Big data hearing topics:• Amend topics?• Additional topics?
• Format:• One panel per topic?• Number of panelists?
• 5-10 minute presentation followed by discussion?
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Potential Panelists
1. Health Big Data Opportunities
2. Learning Health System
3. Health Big Data Concerns / Harms
4. Protections for Consumers
5. Current Law