Physician- and Patient-Elicited Barriers and Facilitators to Implementation of a Machine Learning–Based Screening Tool for Peripheral Arterial Disease: Preimplementation Study With Physician and Patient Stakeholders

BACKGROUND: Peripheral arterial disease (PAD) is underdiagnosed, partially due to a high prevalence of atypical symptoms and a lack of physician and patient awareness. Implementing clinical decision support tools powered by machine learning algorithms may help physicians identify high-risk patients...

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Detalles Bibliográficos
Autores principales: Ho, Vy, Brown Johnson, Cati, Ghanzouri, Ilies, Amal, Saeed, Asch, Steven, Ross, Elsie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10660241/
https://www.ncbi.nlm.nih.gov/pubmed/37930755
http://dx.doi.org/10.2196/44732

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10660241/
https://www.ncbi.nlm.nih.gov/pubmed/37930755
http://dx.doi.org/10.2196/44732

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