Usability Evaluation of NLP-PIER: A Clinical Document Search Engine for Researchers.

Journal: Studies in health technology and informatics
Published Date: Jan 1, 2017

Abstract

NLP-PIER (Natural Language Processing - Patient Information Extraction for Research) is a self-service platform with a search engine for clinical researchers to perform natural language processing (NLP) queries using clinical notes. We conducted user-centered testing of NLP-PIER's usability to inform future design decisions. Quantitative and qualitative data were analyzed. Our findings will be used to improve the usability of NLP-PIER.

Authors

  • Gretchen Hultman
    Institute for Health Informatics, University of Minnesota, Minneapolis, Minnesota, USA.
  • Reed McEwan
    Academic Health Center-Information Systems, Minneapolis, MN, USA.
  • Serguei Pakhomov
    Institute for Health Informatics, University of Minnesota, Minneapolis, Minnesota, USA.
  • Elizabeth Lindemann
    Institute for Health Informatics, University of Minnesota, Minneapolis, MN.
  • Steven Skube
    Department of Surgery, University of Minnesota, Minneapolis, Minnesota, USA.
  • Genevieve B Melton
    Institute for Health Informatics, University of Minnesota, Minneapolis, Minnesota, USA.

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