Cluster Analysis of Primary Care Physician Phenotypes for Electronic Health Record Use: Retrospective Cohort Study.

Fong, Allan; Iscoe, Mark; Sinsky, Christine A; Haimovich, Adrian D; Williams, Brian; O'Connell, Ryan T; Goldstein, Richard; Melnick, Edward

Fong, Allan; Iscoe, Mark; Sinsky, Christine A; Haimovich, Adrian D; Williams, Brian; O'Connell, Ryan T; Goldstein, Richard; Melnick, Edward.

Afiliação

Fong A; National Center for Human Factors in Healthcare, MedStar Health, Washington, DC, United States.
Iscoe M; Department of Emergency Medicine, Yale School of Medicine, New Haven, CT, United States.
Sinsky CA; American Medical Association, Chicago, IL, United States.
Haimovich AD; Department of Emergency Medicine, Yale School of Medicine, New Haven, CT, United States.
Williams B; Northeast Medical Group, Yale New Haven Health, Stratford, CT, United States.
O'Connell RT; Northeast Medical Group, Yale New Haven Health, Stratford, CT, United States.
Goldstein R; Northeast Medical Group, Yale New Haven Health, Stratford, CT, United States.
Melnick E; Department of Emergency Medicine, Yale School of Medicine, New Haven, CT, United States.

JMIR Med Inform ; 10(4): e34954, 2022 Apr 15.

Article em En | MEDLINE | ID: mdl-35275070

Palavras-chave

EHR; cluster analysis; electronic health record; machine learning; phenotypes; primary care; unsupervised machine learning

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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