Health Data Innovation
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Health Data Innovation Peter Speyer Director of Data Development Institute for Health Metrics and Evaluation. The Institute for Health Metrics and Evaluation. Global institute, Department of Global Health at the University of Washington

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Health Data Innovation Peter Speyer Director of Data Development

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Health data innovation peter speyer director of data development

Health Data Innovation

Peter Speyer

Director of Data Development

Institute for Health Metrics and Evaluation


The institute for health metrics and evaluation

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


The health data environment

The health data environment

Missing:

Individual-based data


Health data innovation peter speyer director of data development

http://www.ghdx.org


Screenshot ghdx record with file

Screenshot GHDx record with file


Still health data are often difficult to find

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!


Better health data are crucial for key players

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


Us government kicked off innovation process

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


1 data owners open the vaults

#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


2 an innovation ecosystem evolves

#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”


3 individuals get engaged

#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


4 payment reform encourages the use of data

#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


5 better tools make working with data easier

#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


6 timely data are near real time

#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


Key challenges need to be addressed

Key challenges need to be addressed

Privacy vs. access

Data integration

Data quality assessment, standards & documentation

Business model for health data


Health data innovation is a game changer

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

[email protected]

@peterspeyer


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