medtech frontiers - how data and open source will transform health

@wilbanks

will big data transform health care?

how do we experience big data now?

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transforming some spaces...

assuming cost reduction not a great bet.

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assume 1,000,000 downloadsassume 10% false positive rate

100,000 doctor visits$1000 per biopsy

19 of 20 times, you didn’t need to go.

1. choose your monopolies wisely.

monopoly and incrementalism.

monopoly and network effects.

once entrenched, hard to move.

http://www.health2news.com/2012/11/08/ucsf-medical-center-ceo-explains-why-epic/

2. the rise of the “open” monopoly.

“any internet you want...”

unintended side effect:

massive increase in sample size of programmers

share-ers

emergence of the “digital commons”

no single entity maintains control over the resource

intended effect:

massive increase in sample size of photographers

share-ers

http://www.flickr.com/photos/kalexanderson/6354182139/

http://www.flickr.com/photos/kalexanderson/6354182139/

all resting on a standard , open infrastructure

3. our monopoly choices in biomedical

research.

a. “just like now, but moreso”

b. small matrix of companies

c. open network

requires near-simultaneous creation of complex infrastructure.

storage, provenance, version control

http://synapse.sagebase.org

informed consent

http://weconsent.us

incentives and community

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4. essential components.

changed roles

http://sagebridge.org

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empowered patients

increase the sample size through technology

and then we give it back for free to all the apps.

will open source transform health care?

if we make the sample size large enough...

and we choose our monopolies wisely...

share-ers

thank you