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Using Clinical Phenotypes for Generating Dental Patient Personas

Author

Listed:
  • Jimmy Kayastha DDS

    (Biomedical Informatics Research Center, USA)

  • Jay Fuehrer BS

    (Biomedical Informatics Research Center, USA)

  • Robert Moritz MS

    (Biomedical Informatics Research Center, USA)

  • Aaron Miller PhD

    (Biomedical Informatics Research Center, USA)

  • Amit Acharya PhD

    (Biomedical Informatics Research Center, USA)

Abstract

Data driven patient personas that accurately represent the health of a patient population are critical when designing and validating the user interface of electronic health record. Our objective was to create dental patient personas from the existing clinical data within the data warehouse to accurately reflect detailed archetypical characters that represent distinct patient demographic characteristics within the Marshfield Clinic System, thus constructing a useful tool for students, researchers, and clinical information system designers.

Suggested Citation

  • Jimmy Kayastha DDS & Jay Fuehrer BS & Robert Moritz MS & Aaron Miller PhD & Amit Acharya PhD, 2017. "Using Clinical Phenotypes for Generating Dental Patient Personas," Biostatistics and Biometrics Open Access Journal, Juniper Publishers Inc., vol. 1(1), pages 12-13, March.
    • Handle: RePEc:adp:jbboaj:v:1:y:2017:i:1:p:12-13
    DOI: 10.19080/BBOAJ.2017.01.555554
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