2024
Using Panel Management to Identify Adult Patients With High-Risk Metabolic Dysfunction-Associated Steatotic Liver Disease/Metabolic Dysfunction-Associated Steatohepatitis Fibrosis in a Primary Care Clinic: A Pilot Study.
Householder S, Loza A, Gupta V, Doolittle B. Using Panel Management to Identify Adult Patients With High-Risk Metabolic Dysfunction-Associated Steatotic Liver Disease/Metabolic Dysfunction-Associated Steatohepatitis Fibrosis in a Primary Care Clinic: A Pilot Study. The Permanente Journal 2024, 1-10. PMID: 39444281, DOI: 10.7812/tpp/24.094.Peer-Reviewed Original ResearchPrimary care clinicsYears of ageCare clinicsPanel managementShear wave elastographyFIB-4 scoreElectronic health recordsDetection of patientsClinically relevant morbidityFollow-up appointmentsWave elastographyPrimary careRelevant morbidityFIB-4Advanced fibrosisFibrosis-4Adult patientsHealth recordsSubspecialty careMedical complexityExperience complicationsPatient acceptanceTargeted interventionsWork-upClinical care
2023
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 demandMachineValidatingPatients