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Predicting physician departure with machine learning on EHR use patterns: A longitudinal cohort from a large multi-specialty ambulatory practice
Physician turnover places a heavy burden on the healthcare industry, patients, physicians, and their families. Having a mechanism in place to identify physicians at risk for departure could help target appropriate interventions that prevent departure. We have collected physician characteristics, ele...
Autores principales: | Lopez, Kevin, Li, Huan, Paek, Hyung, Williams, Brian, Nath, Bidisha, Melnick, Edward R., Loza, Andrew J. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9891518/ https://www.ncbi.nlm.nih.gov/pubmed/36724149 http://dx.doi.org/10.1371/journal.pone.0280251 |
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