Health Datapalooza IV Tops Off a Huge Year in Health Data Liberation & Innovation

The following is post is by Bryan Sivak, Chief Technology Officer, HHS and Todd Park, US Chief Technology Officer

Health Datapalooza IV has officially wrapped and with over 1900 attendees and 80 companies, this was the biggest palooza yet. Kicked off by Secretary Sebelius for the second year in a row, this year’s event was a tremendous display of health data in action.

Looking back now, it is amazing to think that four years ago this all started with 45 people in a small room at the Institute of Medicine.  Over the course of those four years the Department of Health and Human Services (HHS) has liberated over 400 datasets, participated in a countless number of codeathons, and has seen and helped developers build hundreds of apps, services, and products using health data.

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RadLex

RadLex is a controlled terminology for radiology and serves as a single unified source of radiology terms for radiology practice, education, and research.

Coders! Developers! Data Scientists! Meet the Code-a-Palooza!

When we started planning the Health Datapalooza this year I asked the planning committee, “How could we make the Health Datapalooza bigger and better? Was there a way for us to do something at the Health Datapalooza this year that would directly contribute to improving health care at the point of clinical care? Was there a way we could help primary care providers make decisions about at risk patients in their practice?

The answer was simple – yes, with a live code-a-thon during the Health Datapalooza that will give ten teams the opportunity to code using the holy grail of health data – Medicare claims data!

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Clinical Quality Linked Data on Health.data.gov

In addition to making flatfiles available to download on the Web, and providing applications that enable programmatic access to backend databases through the Web, imagine using the Web itself as a database: a massively distributed, decentralized database. This is what Linked Data is about – putting data in the Web. As part of our ongoing collaboration to democratize open government data with Data.gov, the Centers for Medicare and Medicaid Services are now publishing Clinical Quality Linked Data on Health.data.gov, beginning with Hospital Compare.