The Drivers of Acceptance of Artificial Intelligence-Powered Care Pathways Among Medical Professionals: Web-Based Survey Study.

Cornelissen, Lisa; Egher, Claudia; van Beek, Vincent; Williamson, Latoya; Hommes, Daniel

Cornelissen, Lisa; Egher, Claudia; van Beek, Vincent; Williamson, Latoya; Hommes, Daniel.

Afiliação

Cornelissen L; Faculty of Science, Athena Institute, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.
Egher C; Faculty of Science, Athena Institute, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.
van Beek V; Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, Netherlands.
Williamson L; DEARhealth, Amsterdam, Netherlands.
Hommes D; Department of Gastroenterology & Hepatology, Leiden University Medical Center, Leiden, Netherlands.

JMIR Form Res ; 6(6): e33368, 2022 Jun 21.

Article em En | MEDLINE | ID: mdl-35727614

Palavras-chave

artificial intelligence; health care providers; health innovation; machine learning; technology acceptance; technology adoption; user adoption

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article