Characterizing 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 ResearchConceptsElectronic 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 ResearchConceptsElectronic 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 Scale