Using Patient Flow Information to Determine Risk of Hospital Presentation: Protocol for a Proof-of-Concept Study.

Pearce, Christopher M; McLeod, Adam; Patrick, Jon; Boyle, Douglas; Shearer, Marianne; Eustace, Paula; Pearce, Mary Catherine

Pearce, Christopher M; McLeod, Adam; Patrick, Jon; Boyle, Douglas; Shearer, Marianne; Eustace, Paula; Pearce, Mary Catherine.

Afiliación

Pearce CM; Melbourne East General Practice Network, Burwood East, Australia.
McLeod A; Melbourne East General Practice Network, Burwood East, Australia.
Patrick J; Health Language Analytics, Eveleigh, Australia.
Boyle D; Research Information Technology Unit, Health and Biomedical Informatics Centre, The University of Melbourne, Parkville, Australia.
Shearer M; Melbourne East General Practice Network, Burwood East, Australia.
Eustace P; Gippsland Primary Health Network, Moe, Australia.
Pearce MC; Melbourne East General Practice Network, Burwood East, Australia.

JMIR Res Protoc ; 5(4): e241, 2016 Dec 20.

Article en En | MEDLINE | ID: mdl-27998879

Palabras clave

avoidable presentation; data linkage; electronic health record; machine learning; primary care

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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 Res Protoc Año: 2016 Tipo del documento: Article País de afiliación: Australia Pais de publicación: Canadá

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