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Clinical Data Warehouse Query and Learning Tool Using Human-Centered Participatory Design Process.

BMI Investigator (BMII) is an interactive web-based tool with a learning knowledge base, which provides a way for researchers to query structured, unstructured, genomic and image data contained in a data warehouse. We demonstrate how development of an efficient, usable, and learnable web interface f...

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Published in:Studies in Health Technology & Informatics Vol. 251; pp. 59 - 63
Main Authors: MULLIN, Sarah, Jane ZHAO, SINHA, Shyamashree, LEE, Robert, SONG, Buer, ELKIN, Peter L.
Format: pictorial research Journal Article
Published: Sage Publications Inc. 2018
Online Access:View this record in EBSCOhost
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      jtl: Studies in Health Technology & Informatics
      issn: 09269630
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    pubinfo:
      dt: 2018
      vid: 251
      pid: 344
      pub: Sage Publications Inc.
      place: Thousand Oaks, California
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        10.3233/978-1-61499-880-8-59
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      ppf: 59
      ppct: 4
      formats:
      tig:
        atl: Clinical Data Warehouse Query and Learning Tool Using Human-Centered Participatory Design Process.
      aug:
        au:
          MULLIN, Sarah
          Jane ZHAO
          SINHA, Shyamashree
          LEE, Robert
          SONG, Buer
          ELKIN, Peter L.
        affil: University at Buffalo, The State University of New York, USA.
      sug:
        subj:
          Data Mining Methods
          Learning Methods
          Consumer Participation
          User-Computer Interface Standards
          Internet
          Human
          Physicians
          Electronic Health Records
          Natural Language Processing
          Feedback
          Questionnaires
          Simulations
          Bioinformatics
          Research Personnel
          Students, Medical
          Interns and Residents
          Students, Graduate
          Summated Rating Scaling
          Descriptive Statistics
          Software Design
      ab: BMI Investigator (BMII) is an interactive web-based tool with a learning knowledge base, which provides a way for researchers to query structured, unstructured, genomic and image data contained in a data warehouse. We demonstrate how development of an efficient, usable, and learnable web interface for a diverse group of research stakeholders benefits from an iterative human-centered participatory design process utilizing a team of clinicians, students, programmers, and informatics experts.
      pubtype: Academic Journal
      doctype:
        pictorial
        research
        Journal Article
      ougenre: Article
    language: English
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