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 specialtiesHoursSpecialtiesGenderNational trends in emergency conditions through the Omicron COVID‐19 wave in commercial and Medicare Advantage enrollees
Stevens M, Melnick E, Savitz S, Jeffery M, Nath B, Janke A. National trends in emergency conditions through the Omicron COVID‐19 wave in commercial and Medicare Advantage enrollees. Journal Of The American College Of Emergency Physicians Open 2023, 4: e13023. PMID: 37576118, PMCID: PMC10423035, DOI: 10.1002/emp2.13023.Peer-Reviewed Original ResearchEmergency care-sensitive conditionsMedicare Advantage enrolleesED visitsVisit ratesPulmonary embolismPandemic waveWave 2Acute cardiovascular conditionsCause ED visitsMyocardial infarction rateED visit ratesEmergency department visitsPre-pandemic ratesCross-sectional analysisPre-pandemic periodInfarction rateCOVID-19 waveDepartment visitsSevere arrhythmiasFemale enrolleesMyocardial infarctionCardiovascular conditionsPercent changeSensitive conditionsEnrollees