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: | , , , , , , |
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| Formato: | Artículo |
| Lenguaje: | English |
| Publicado: |
Public Library of Science (PLoS)
2023-01-01
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| Colección: | PLoS ONE |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9891518/?tool=EBI |