Development and empirical user-centered evaluation of semantically-based query recommendation for an electronic health record search engine.

Journal: Journal of biomedical informatics
Published Date: Jan 25, 2017

Abstract

OBJECTIVE: The utility of biomedical information retrieval environments can be severely limited when users lack expertise in constructing effective search queries. To address this issue, we developed a computer-based query recommendation algorithm that suggests semantically interchangeable terms based on an initial user-entered query. In this study, we assessed the value of this approach, which has broad applicability in biomedical information retrieval, by demonstrating its application as part of a search engine that facilitates retrieval of information from electronic health records (EHRs).

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.
  • Danny T Y Wu
    Department of Biomedical Informatics, College of Medicine, University of Cincinnati, Cincinnati, OH.
  • Lei Yang
    George Mason University.
  • Qiaozhu Mei
    University of Michigan, Ann Arbor, MI.
  • Katherine B Murkowski-Steffy
    Department of Health Management and Policy, School of Public Health, 1415 Washington Heights, Ann Arbor, MI 48109, USA. Electronic address: kbmurko@umich.edu.
  • V G Vinod Vydiswaran
    Department of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, MI, USA.
  • Kai Zheng
    University of California, Irvine, Irvine, CA, USA.

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