2024
Structure and Funding of Clinical Informatics Fellowships: A National Survey of Program Directors
Patel T, Chaise A, Hanna J, Patel K, Kochendorfer K, Medford R, Mize D, Melnick E, Hron J, Youens K, Pandita D, Leu M, Ator G, Yu F, Genes N, Baker C, Bell D, Pevnick J, Conrad S, Chandawarkar A, Rogers K, Kaelber D, Singh I, Levy B, Finnell J, Kannry J, Pageler N, Mohan V, Lehmann C. Structure and Funding of Clinical Informatics Fellowships: A National Survey of Program Directors. Applied Clinical Informatics 2024, 15: 155-163. PMID: 38171383, PMCID: PMC10881258, DOI: 10.1055/a-2237-8309.Peer-Reviewed Original ResearchConceptsProgram directorsAmerican BoardCommunity health care systemAccreditation Council for Graduate Medical EducationAmerican Board of Medical SpecialtiesAdministrative supportFunding sourcesOnline REDCap surveyHealth care systemFunding modelsGraduate Medical EducationAmerican Board of Preventive MedicineHospital information technologyMedical education officeGraduate medical education officeSurvey of program directorsFellowship training programsFamily medicineFellowship program directorsEmergency medicineHealth systemSurveyed program directorsCare systemNational survey of program directorsInformatics practice
2022
Cluster Analysis of Primary Care Physician Phenotypes for Electronic Health Record Use: Retrospective Cohort Study
Fong A, Iscoe M, Sinsky CA, Haimovich A, Williams B, O'Connell RT, Goldstein R, Melnick E. Cluster Analysis of Primary Care Physician Phenotypes for Electronic Health Record Use: Retrospective Cohort Study. JMIR Medical Informatics 2022, 10: e34954. PMID: 35275070, PMCID: PMC9055474, DOI: 10.2196/34954.Peer-Reviewed Original ResearchElectronic health recordsCare physiciansEHR timeRetrospective cohort studyRetrospective cohort analysisElectronic health record usePrimary care physiciansOffice-based physician practicesClusters of physiciansAmbulatory care physiciansCohort studyCohort analysisPediatric specialtiesInternal medicineRecord useEHR usePhysiciansPhysician practicesHealth recordsFamily medicineHoursPhenotype clustersPhenotypeLarge proportionMedicine