Toward semantic web based knowledge representation and extraction from electronic health records

  • Authors:
  • Cui Tao;Jyotishman Pathak;Susan Rea Welch;Matt-Mouley Bouamrane;Stanley M. Huff;Christopher G. Chute

  • Affiliations:
  • Mayo Clinic, Rochester, MN, USA;Mayo Clinic, Rochester, MN, USA;Intermountain Health Care, Salt Lake City, UT, USA;University of Glasgow, Glasgow, United Kingdom;Intermountain Health Care, Salt Lake City, UT, USA;Mayo Clinic, Rochester, MN, USA

  • Venue:
  • Proceedings of the first international workshop on Managing interoperability and complexity in health systems
  • Year:
  • 2011

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Abstract

The recent large-scale deployment of Electronic Health Records (EHR) across medical institutions provides new opportunities of secondary use of EHR. One prerequisite of meaningful use of EHR data is interoperability among knowledge, data, and applications in healthcare IT. In this paper, we introduce our vision on applying semantic web techniques to clinical knowledge and data representation, as well as to retrieve useful information and knowledge from EHR. We discuss the challenges we are facing, as well as two real-world use cases we are currently working on.