Patient-Level Fall Risk Prediction Using the Observational Medical Outcomes Partnership's Common Data Model: Pilot Feasibility Study.

Jung, Hyesil; Yoo, Sooyoung; Kim, Seok; Heo, Eunjeong; Kim, Borham; Lee, Ho-Young; Hwang, Hee

Jung, Hyesil; Yoo, Sooyoung; Kim, Seok; Heo, Eunjeong; Kim, Borham; Lee, Ho-Young; Hwang, Hee.

Afiliación

Jung H; Office of eHealth Research and Business, Seoul National University Bundang Hospital, Seongnam-si, Republic of Korea.
Yoo S; Office of eHealth Research and Business, Seoul National University Bundang Hospital, Seongnam-si, Republic of Korea.
Kim S; Office of eHealth Research and Business, Seoul National University Bundang Hospital, Seongnam-si, Republic of Korea.
Heo E; Office of eHealth Research and Business, Seoul National University Bundang Hospital, Seongnam-si, Republic of Korea.
Kim B; Office of eHealth Research and Business, Seoul National University Bundang Hospital, Seongnam-si, Republic of Korea.
Lee HY; Office of eHealth Research and Business, Seoul National University Bundang Hospital, Seongnam-si, Republic of Korea.
Hwang H; Kakao Healthcare Company-In-Company, Seongnam-si, Republic of Korea.

JMIR Med Inform ; 10(3): e35104, 2022 Mar 11.

Article en En | MEDLINE | ID: mdl-35275076

Palabras clave

Observational Medical Outcomes Partnership; accidental falls; common data model; data model; electronic health record; fall risk; health data; medical informatics; nursing records; prediction model; risk prediction

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: JMIR Med Inform Año: 2022 Tipo del documento: Article Pais de publicación: Canadá

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