Development and Validation of an Artificial Intelligence System to Optimize Clinician Review of Patient Records

IMPORTANCE: Physicians are required to work with rapidly growing amounts of medical data. Approximately 62% of time per patient is devoted to reviewing electronic health records (EHRs), with clinical data review being the most time-consuming portion. OBJECTIVE: To determine whether an artificial int...

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Detalles Bibliográficos
Autores principales: Chi, Ethan Andrew, Chi, Gordon, Tsui, Cheuk To, Jiang, Yan, Jarr, Karolin, Kulkarni, Chiraag V., Zhang, Michael, Long, Jin, Ng, Andrew Y., Rajpurkar, Pranav, Sinha, Sidhartha R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2021
Materias:
Original Investigation
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8303101/
https://www.ncbi.nlm.nih.gov/pubmed/34297075
http://dx.doi.org/10.1001/jamanetworkopen.2021.17391

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8303101/
https://www.ncbi.nlm.nih.gov/pubmed/34297075
http://dx.doi.org/10.1001/jamanetworkopen.2021.17391

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