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
2012
Comparison of the Effect on Long-Term Outcomes in Patients With Thoracic Aortic Aneurysms of Taking Versus Not Taking a Statin Drug
Jovin IS, Duggal M, Ebisu K, Paek H, Oprea AD, Tranquilli M, Rizzo J, Memet R, Feldman M, Dziura J, Brandt CA, Elefteriades JA. Comparison of the Effect on Long-Term Outcomes in Patients With Thoracic Aortic Aneurysms of Taking Versus Not Taking a Statin Drug. The American Journal Of Cardiology 2012, 109: 1050-1054. PMID: 22221941, DOI: 10.1016/j.amjcard.2011.11.038.Peer-Reviewed Original ResearchConceptsThoracic aortic aneurysmLong-term outcomesComposite end pointAortic aneurysmAneurysm repairEnd pointImproved long-term outcomesOutcomes of patientsCohort of patientsKaplan-Meier analysisMedian followStatin intakeStatin therapyMedical therapyStatinsFirst presentationPatientsSurvival rateAneurysmsStatin drugsOutcomesTherapyIntakeRepairCohort
2010
The need for validation of large administrative databases: Veterans Health Administration ICD-9CM coding of exudative age-related macular degeneration and ranibizumab usage
Latkany P, Duggal M, Goulet J, Paek H, Rambo M, Palmisano P, Levin W, Erdos J, Justice A, Brandt C. The need for validation of large administrative databases: Veterans Health Administration ICD-9CM coding of exudative age-related macular degeneration and ranibizumab usage. Journal Of Ocular Biology, Diseases, And Informatics 2010, 3: 30-34. PMID: 21139706, PMCID: PMC2956455, DOI: 10.1007/s12177-010-9052-4.Peer-Reviewed Original ResearchExudative age-related macular degenerationAge-related macular degenerationExcellent positive predictive valuePositive predictive valuePredictive valueMacular degenerationLarge electronic medical record systemsClinical Modification codingLarge administrative databaseNegative predictive valueElectronic medical record systemVA ConnecticutMedical record systemChart reviewNinth RevisionOphthalmology clinicAdministrative databasesClinical informationInternational ClassificationDistinct patientsTherapy policyRanibizumabPatientsRecord systemDegeneration