Predicting physician departure with machine learning on EHR use patterns: A longitudinal cohort from a large multi-specialty ambulatory practice
Lopez K, Li H, Paek H, Williams B, Nath B, Melnick E, Loza A. Predicting physician departure with machine learning on EHR use patterns: A longitudinal cohort from a large multi-specialty ambulatory practice. PLOS ONE 2023, 18: e0280251. PMID: 36724149, PMCID: PMC9891518, DOI: 10.1371/journal.pone.0280251.Peer-Reviewed Original ResearchConceptsElectronic health recordsEHR use patternsHealthcare industryPhysician departureSHAP valuesHealth recordsPhysician characteristicsLongitudinal cohortPhysician ageRisk physiciansAmbulatory practiceTargeted interventionsAppropriate interventionsPhysiciansTop variablesDocumentation timePhysician turnoverPredictive modelHeavy burdenInterventionInboxPhysician demandMachineValidatingPatientsDeep learning prediction of hospital readmissions for asthma and COPD
Lopez K, Li H, Lipkin-Moore Z, Kay S, Rajeevan H, Davis J, Wilson F, Rochester C, Gomez J. Deep learning prediction of hospital readmissions for asthma and COPD. Respiratory Research 2023, 24: 311. PMID: 38093373, PMCID: PMC10720134, DOI: 10.1186/s12931-023-02628-7.Peer-Reviewed Original Research