Use of machine learning to predict clinical decision support compliance, reduce alert burden, and evaluate duplicate laboratory test ordering alerts.

Baron, Jason M; Huang, Richard; McEvoy, Dustin; Dighe, Anand S

Baron, Jason M; Huang, Richard; McEvoy, Dustin; Dighe, Anand S.

Afiliação

Baron JM; Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts, USA.
Huang R; Havard Medical School, Boston, Massachusetts, USA.
McEvoy D; Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts, USA.
Dighe AS; Havard Medical School, Boston, Massachusetts, USA.

JAMIA Open ; 4(1): ooab006, 2021 Jan.

Article em En | MEDLINE | ID: mdl-33709062

Palavras-chave

alert burden; alert fatigue; clinical decision support (CDS); duplicate laboratory test; machine learning; practice variation

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: JAMIA Open Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google