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WEBINAR: Yosemite Project – Part 4 (VIDEO)

By   /  December 9, 2014  /  No Comments

Video:

Slides:

About the Webinar

In our series on The Yosemite Project, we explore RDF as a data standard for health data. In this presentation, we will discuss with Claude Nanjo, a Software Architect at Cognitive Medical Systems, ways to expose clinical knowledge as OWL and RDF resources on the Web in order to promote greater convergence in the representation of health knowledge in the longer term. We will also explore how one might rally and coordinate the community to seed the Web with a core set of high-value resources and technologies that could greatly enhance health interoperability.

Additional Resources

 

Follow this webinar series:

http://www.dataversity.net/tag/yosemite-project

About the Speaker

Photo of Claude NanjoClaude Nanjo is a Software Architect at Cognitive Medical Systems. He is also an active contributor to a number of HL7 and S&I clinical modeling initiatives including Health eDecision (HeD), the Clinical Quality Framework (CQF), and Fast Health Interoperable Resources (FHIR). At both Cognitive Medical Systems and Zynx Health, Claude has been involved in a number of research projects exploring the intersection between Clinical Decision Support and the Semantic Web. Prior to joining Zynx Health, Claude was engaged in research developing machine learning solutions to mine information on the Web. Claude studied at the University of California where he obtained a B.S. in Biochemistry, a B.A. in History as well as a Masters degree in Public Health and African Area Studies.

 

Part 1 of that series, “The Yosemite Project: An RDF Roadmap for Healthcare Information Interoperability,” is available as a recorded webinar and slide deck.

Part 2,The Ideal Medium for Health Data? A Dive into Lab Tests,” is available as a recorded webinar and slide deck.

Part 3, “Transformations for Integrating VA data with FHIR in RDF,” is available as a recorded webinar and slide deck.

Registration is open for PART 5, and PART 6.

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