Using Clinical Phenotypes for Generating Dental Patient Personas

Jimmy Kayastha Dds, Jay Fuehrer Bs, Robert Moritz Ms, Aaron Miller PhD and Amit Acharya PhD
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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

Biostatistics and Biometrics Open Access Journal, 2017, vol. 1, issue 1, 12-13

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.

Keywords: Biometrics Open Access Journal; Biostatistics and Biometrics; Biostatistics and Biometrics Open Access Journal; Open Access Journals; biometrics journal; biometrics articles; biometrics journal reference; biometrics journal impact factor; biometrics and biostatistics journal impact factor; journal of biometrics; open access juniper publishers; juniper publishers reivew (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:adp:jbboaj:v:1:y:2017:i:1:p:12-13

DOI: 10.19080/BBOAJ.2017.01.555554

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