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 demandMachineValidatingPatientsAnalysis of Electronic Health Record Use and Clinical Productivity and Their Association With Physician Turnover
Melnick ER, Fong A, Nath B, Williams B, Ratwani RM, Goldstein R, O’Connell R, Sinsky CA, Marchalik D, Mete M. Analysis of Electronic Health Record Use and Clinical Productivity and Their Association With Physician Turnover. JAMA Network Open 2021, 4: e2128790. PMID: 34636911, PMCID: PMC8511970, DOI: 10.1001/jamanetworkopen.2021.28790.Peer-Reviewed Original ResearchConceptsElectronic health recordsPhysician turnoverRetrospective cohort studyElectronic health record usePractice networkPhysician productivityWarrants further investigationCohort studyEHR timeAge 45Care teamPhysician departurePhysician ordersMAIN OUTCOMEHigh riskPatient timeAmbulatory physiciansPatient volumeUnique physiciansRecord useEHR useHealth care organizationsPhysiciansHealth recordsClinical timeTrends in Electronic Health Record Inbox Messaging During the COVID-19 Pandemic in an Ambulatory Practice Network in New England
Nath B, Williams B, Jeffery MM, O’Connell R, Goldstein R, Sinsky CA, Melnick ER. Trends in Electronic Health Record Inbox Messaging During the COVID-19 Pandemic in an Ambulatory Practice Network in New England. JAMA Network Open 2021, 4: e2131490. PMID: 34636917, PMCID: PMC8511977, DOI: 10.1001/jamanetworkopen.2021.31490.Peer-Reviewed Original ResearchCharacterizing physician EHR use with vendor derived data: a feasibility study and cross-sectional analysis
Melnick ER, Ong SY, Fong A, Socrates V, Ratwani RM, Nath B, Simonov M, Salgia A, Williams B, Marchalik D, Goldstein R, Sinsky CA. Characterizing physician EHR use with vendor derived data: a feasibility study and cross-sectional analysis. Journal Of The American Medical Informatics Association 2021, 28: 1383-1392. PMID: 33822970, PMCID: PMC8279798, DOI: 10.1093/jamia/ocab011.Peer-Reviewed Original ResearchMeSH KeywordsChildCross-Sectional StudiesElectronic Health RecordsFeasibility StudiesFemaleHumansMedicinePhysiciansConceptsElectronic health recordsEHR timeCross-sectional analysisAmbulatory physiciansPatient timeHealth systemClinical hoursHours of patientsMedStar Health systemYale-New HavenObstetrics/gynecologyNeurology/psychiatryMultivariable analysisPhysician genderCertain medical specialtiesPhysical medicineFemale physiciansEHR usePhysiciansHealth recordsHealthcare systemMedical specialtiesHoursSpecialtiesGenderThe association between perceived electronic health record usability and professional burnout among US nurses
Melnick ER, West CP, Nath B, Cipriano PF, Peterson C, Satele DV, Shanafelt T, Dyrbye LN. The association between perceived electronic health record usability and professional burnout among US nurses. Journal Of The American Medical Informatics Association 2021, 28: 1632-1641. PMID: 33871018, PMCID: PMC8324227, DOI: 10.1093/jamia/ocab059.Peer-Reviewed Original ResearchMeSH KeywordsBurnout, ProfessionalChildCross-Sectional StudiesElectronic Health RecordsHumansNursesSurveys and QuestionnairesConceptsElectronic health record usabilityUS nursesDose-response relationshipEHR usabilityCross-sectional surveyMultivariable analysisOdds of burnoutLower oddsNursing experiencePractice settingsCurrent EHRsNursesMaslach Burnout InventoryMean hoursProfessional burnoutScoresSUS scoreRandom sampleTechnology usabilityBurnout InventoryOddsStandardized metricsRelationship statusAssociationSystem Usability ScaleWhy Do Physicians Depart Their Practice? A Qualitative Study of Attrition in a Multispecialty Ambulatory Practice Network
O'Connell R, Hosain F, Colucci L, Nath B, Melnick E. Why Do Physicians Depart Their Practice? A Qualitative Study of Attrition in a Multispecialty Ambulatory Practice Network. The Journal Of The American Board Of Family Medicine 2023, 36: 1050-1057. PMID: 37857441, DOI: 10.3122/jabfm.2023.230052r2.Peer-Reviewed Original ResearchIdentifying and Addressing Barriers to Implementing Core Electronic Health Record Use Metrics for Ambulatory Care: Virtual Consensus Conference Proceedings
Levy D, Moy A, Apathy N, Adler-Milstein J, Rotenstein L, Nath B, Rosenbloom S, Kannampallil T, Mishuris R, Alexanian A, Sieja A, Hribar M, Patel J, Sinsky C, Melnick E. Identifying and Addressing Barriers to Implementing Core Electronic Health Record Use Metrics for Ambulatory Care: Virtual Consensus Conference Proceedings. Applied Clinical Informatics 2023, 14: 944-950. PMID: 37802122, PMCID: PMC10686750, DOI: 10.1055/a-2187-3243.Peer-Reviewed Original Research