How can we discover the most valuable types of big data and artificial intelligence-based solutions? A methodology for the efficient development of the underlying analytics that improve care.

Bakker, Lytske; Aarts, Jos; Uyl-de Groot, Carin; Redekop, Ken

Bakker, Lytske; Aarts, Jos; Uyl-de Groot, Carin; Redekop, Ken.

Afiliação

Bakker L; Erasmus School of Health Policy and Management, Erasmus University, P.O. Box 1738, 3000 DR, Rotterdam, The Netherlands. bakker@eshpm.eur.nl.
Aarts J; Institute for Medical Technology Assessment, Erasmus University, Rotterdam, The Netherlands. bakker@eshpm.eur.nl.
Uyl-de Groot C; Erasmus Centre for Health Economics Rotterdam (EsCHER), Erasmus University, Rotterdam, The Netherlands. bakker@eshpm.eur.nl.
Redekop K; Erasmus School of Health Policy and Management, Erasmus University, P.O. Box 1738, 3000 DR, Rotterdam, The Netherlands.

BMC Med Inform Decis Mak ; 21(1): 336, 2021 11 29.

Article em En | MEDLINE | ID: mdl-34844594

Assuntos

Inteligência Artificial; Big Data; Análise Custo-Benefício; Atenção à Saúde; Humanos

Palavras-chave

Analytics; Artificial intelligence; Big data; Chronic lymphocytic leukaemia; Costbenefit analysis; Critical care

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Big Data Tipo de estudo: Guideline / Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

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