Development of a Hypothesis-finding Support System Using Medical Records for Clinical Knowledge Acquisition

DOI
  • Okamoto K
    Division of Medical Information Technology & Administration Planning, Kyoto University Hospital Department of Medical Informatics Graduate School of Informatics, Kyoto University
  • Tanaka H
    Graduate School of Informatics, Kyoto University
  • Takemura T
    Division of Medical Information Technology & Administration Planning, Kyoto University Hospital Department of Medical Informatics Graduate School of Informatics, Kyoto University
  • Kume N
    Division of Medical Information Technology & Administration Planning, Kyoto University Hospital Department of Medical Informatics Graduate School of Informatics, Kyoto University
  • Kuroda T
    Division of Medical Information Technology & Administration Planning, Kyoto University Hospital Department of Medical Informatics Graduate School of Informatics, Kyoto University
  • Yoshihara H
    Division of Medical Information Technology & Administration Planning, Kyoto University Hospital Department of Medical Informatics Graduate School of Informatics, Kyoto University

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  • 臨床知識獲得のための診療情報を用いた仮説発見支援システムの構築

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Abstract

The authors developed a support system for finding hypotheses about clinical knowledge from medical records accumulated electronically in hospital information systems. In order to support the development of various hypotheses, we matched a variety of medical and clinical information with each case and utilized the information comprehensively. This information includes clinical documents, examination information, treatment information, and etc. The system uses coverage-oriented views showing targeted medical records, in whole or in part. We selected appropriate methods to provide coverage-oriented views of natural language data, numerical data, and coded data, making use of snippets, graphs, and tag clouds, respectively. In addition, users can narrow the search results utilizing keywords, ranges of values, and labels of codes, respectively. The coverage-oriented views and the narrowing methods utilizing the views make the retrieval system interactive. We predicted that users could find hypotheses by grasping features of targeted cases using coverage-oriented views based on interactive retrieval. We evaluated the developed prototype in terms of its potential for helping users find hypotheses about clinical knowledge and we received positive response from doctors.

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