Supporting information retrieval from electronic health records: A report of University of Michigan's nine-year experience in developing and using the Electronic Medical Record Search Engine (EMERSE).

Journal: Journal of biomedical informatics
PMID: 25979153

Abstract

OBJECTIVE: This paper describes the University of Michigan's nine-year experience in developing and using a full-text search engine designed to facilitate information retrieval (IR) from narrative documents stored in electronic health records (EHRs). The system, called the Electronic Medical Record Search Engine (EMERSE), functions similar to Google but is equipped with special functionalities for handling challenges unique to retrieving information from medical text.

Authors

  • David A Hanauer
    Department of Pediatrics, University of Michigan Medical School, Ann Arbor, MI, USA; School of Information, University of Michigan, Ann Arbor, MI, USA. Electronic address: hanauer@med.umich.edu.
  • Qiaozhu Mei
    University of Michigan, Ann Arbor, MI.
  • James Law
    Medical Center Information Technology, University of Michigan Health System, Ann Arbor, MI, USA.
  • Ritu Khanna
    Medical Center Information Technology, University of Michigan Health System, Ann Arbor, MI, USA.
  • Kai Zheng
    University of California, Irvine, Irvine, CA, USA.

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