2024
Correction: 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. Correction: Predicting physician departure with machine learning on EHR use patterns: A longitudinal cohort from a large multi-specialty ambulatory practice. PLOS ONE 2024, 19: e0315090. PMID: 39625911, PMCID: PMC11614266, DOI: 10.1371/journal.pone.0315090.Peer-Reviewed Original Research
2023
Collecting patient-reported outcome measures in the electronic health record: Lessons from the NIH pragmatic trials Collaboratory
Zigler C, Adeyemi O, Boyd A, Braciszewski J, Cheville A, Cuthel A, Dailey D, Del Fiol G, Ezenwa M, Faurot K, Justice M, Ho P, Lawrence K, Marsolo K, Patil C, Paek H, Richesson R, Staman K, Schlaeger J, O'Brien E. Collecting patient-reported outcome measures in the electronic health record: Lessons from the NIH pragmatic trials Collaboratory. Contemporary Clinical Trials 2023, 137: 107426. PMID: 38160749, PMCID: PMC10922303, DOI: 10.1016/j.cct.2023.107426.Peer-Reviewed Original ResearchPatient-reported outcome measuresElectronic health recordsPragmatic clinical trialsOutcome measuresHealth recordsClinical trialsHealth system's electronic health recordPatient-reported outcome dataOutcome measure selectionLow-resource settingsSecondary outcomesOutcome dataResource settingsLack of consensusStudy teamTrialsSystem prioritiesRecordsCliniciansAdministrationMeasuresAdoption of Emergency Department–Initiated Buprenorphine for Patients With Opioid Use Disorder
Gao E, Melnick E, Paek H, Nath B, Taylor R, Loza A. Adoption of Emergency Department–Initiated Buprenorphine for Patients With Opioid Use Disorder. JAMA Network Open 2023, 6: e2342786. PMID: 37948075, PMCID: PMC10638655, DOI: 10.1001/jamanetworkopen.2023.42786.Peer-Reviewed Original ResearchConceptsHealth care systemED initiationOpioid use disorderBuprenorphine initiationCare systemUse disordersEmergency Department-Initiated BuprenorphineSecondary analysisClinician's roleEmergency department initiationClinical decision support interventionClinical decision support toolProportional hazard modelingCare of patientsNetwork of cliniciansDecision support interventionsAdvanced practice practitionersDose-dependent mannerUnique cliniciansTime-dependent covariatesTrial interventionNonintervention groupED clustersMore effective interventionsNumber of exposuresQuantifying EHR and Policy Factors Associated with the Gender Productivity Gap in Ambulatory, General Internal Medicine
Li H, Rotenstein L, Jeffery M, Paek H, Nath B, Williams B, McLean R, Goldstein R, Nuckols T, Hoq L, Melnick E. Quantifying EHR and Policy Factors Associated with the Gender Productivity Gap in Ambulatory, General Internal Medicine. Journal Of General Internal Medicine 2023, 39: 557-565. PMID: 37843702, PMCID: PMC10973284, DOI: 10.1007/s11606-023-08428-5.Peer-Reviewed Original ResearchElectronic health recordsWork relative value unitsPhysician genderPractice characteristicsWomen physiciansMen physiciansGeneral internal medicine physiciansEHR useInternal medicine physiciansPhysician productivityGeneral internal medicineMultivariable adjustmentPatient counselingCare discussionsPhysician ageClinical activityMedicine physiciansPotential bias and lack of generalizability in electronic health record data: reflections on health equity from the National Institutes of Health Pragmatic Trials Collaboratory.
Boyd A, Gonzalez-Guarda R, Lawrence K, Patil C, Ezenwa M, O'Brien E, Paek H, Braciszewski J, Adeyemi O, Cuthel A, Darby J, Zigler C, Ho P, Faurot K, Staman K, Leigh J, Dailey D, Cheville A, Del Fiol G, Knisely M, Grudzen C, Marsolo K, Richesson R, Schlaeger J. Potential bias and lack of generalizability in electronic health record data: reflections on health equity from the National Institutes of Health Pragmatic Trials Collaboratory. Journal Of The American Medical Informatics Association 2023, 30: 1561-1566. PMID: 37364017, PMCID: PMC10436149, DOI: 10.1093/jamia/ocad115.Peer-Reviewed Original ResearchConceptsElectronic health record dataPragmatic clinical trialsHealth record dataPopulation health problemElectronic health record systemsClinical trialsEHR-derived dataHealth record systemsHealth problemsSocial determinantsHealth equityRecord dataVulnerable populationsEHR dataHealthcare systemNational InstituteRecord systemLack of generalizabilityHealthDifferent subsetsGeneralizable researchEPCTsPopulationPotential biasTrialsEquity and bias in electronic health records data
Boyd A, Gonzalez-Guarda R, Lawrence K, Patil C, Ezenwa M, O'Brien E, Paek H, Braciszewski J, Adeyemi O, Cuthel A, Darby J, Zigler C, Ho P, Faurot K, Staman K, Leigh J, Dailey D, Cheville A, Del Fiol G, Knisely M, Marsolo K, Richesson R, Schlaeger J. Equity and bias in electronic health records data. Contemporary Clinical Trials 2023, 130: 107238. PMID: 37225122, PMCID: PMC10330606, DOI: 10.1016/j.cct.2023.107238.Peer-Reviewed Original ResearchPredicting 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 demandMachineValidatingPatientsEquity and use of telehealth modalities among people living with HIV during the COVID-19 pandemic
Carson H, Wang K, Paek H, Hoffman P, Arakaki A, Gonzalez-Colaso R, Barakat L, Villanueva M, Womack J. Equity and use of telehealth modalities among people living with HIV during the COVID-19 pandemic. Digital Health 2023, 9: 20552076231218840. PMID: 38107977, PMCID: PMC10722925, DOI: 10.1177/20552076231218840.Peer-Reviewed Original Research
2022
Emergency physicians' EHR use across hospitals: A cross-sectional analysis
Iscoe MS, Holland ML, Paek H, Flood C, Melnick ER. Emergency physicians' EHR use across hospitals: A cross-sectional analysis. The American Journal Of Emergency Medicine 2022, 61: 205-207. PMID: 35842301, DOI: 10.1016/j.ajem.2022.07.014.Peer-Reviewed Original ResearchUser centered clinical decision support to implement initiation of buprenorphine for opioid use disorder in the emergency department: EMBED pragmatic cluster randomized controlled trial
Melnick ER, Nath B, Dziura JD, Casey MF, Jeffery MM, Paek H, Soares WE, Hoppe JA, Rajeevan H, Li F, Skains RM, Walter LA, Patel MD, Chari SV, Platts-Mills TF, Hess EP, D'Onofrio G. User centered clinical decision support to implement initiation of buprenorphine for opioid use disorder in the emergency department: EMBED pragmatic cluster randomized controlled trial. The BMJ 2022, 377: e069271. PMID: 35760423, PMCID: PMC9231533, DOI: 10.1136/bmj-2021-069271.Peer-Reviewed Original ResearchConceptsOpioid use disorderUsual care armEmergency departmentUse disordersCare armPragmatic clusterClinical decision supportIntervention armRoutine emergency careSecondary implementation outcomesSeverity of withdrawalTertiary care centerClinical decision support toolInitiation of buprenorphineElectronic health record tasksElectronic health record workflowsRE-AIM frameworkElectronic health record platformsHealth record platformsClinical decision support systemElectronic health recordsVisit documentationTreatment of addictionUsual careAdult patients
2021
Emergency Department Visits for Nonfatal Opioid Overdose During the COVID-19 Pandemic Across Six US Health Care Systems
Soares WE, Melnick ER, Nath B, D'Onofrio G, Paek H, Skains RM, Walter LA, Casey MF, Napoli A, Hoppe JA, Jeffery MM. Emergency Department Visits for Nonfatal Opioid Overdose During the COVID-19 Pandemic Across Six US Health Care Systems. Annals Of Emergency Medicine 2021, 79: 158-167. PMID: 34119326, PMCID: PMC8449788, DOI: 10.1016/j.annemergmed.2021.03.013.Peer-Reviewed Original ResearchConceptsHealth care systemCause ED visitsNonfatal opioid overdoseED visitsOpioid use disorderCare systemOpioid overdoseUse disordersCOVID-19 pandemicOpioid-related complicationsEmergency department visitsHospital-based interventionsED visit ratesEmergency department utilizationVisit countsUS health care systemOpioid overdose ratesDepartment visitsHistorical controlsAdult visitsOpioid overdosesOverdose ratesMedical emergencyVisit ratesMore weeks
2020
Maximizing Intervention Effectiveness
Gupta V, Han B, Kim S, Paek H. Maximizing Intervention Effectiveness. Management Science 2020, 66: 5576-5598. DOI: 10.1287/mnsc.2019.3537.Peer-Reviewed Original ResearchProgress Report on EMBED: A Pragmatic Trial of User-Centered Clinical Decision Support to Implement EMergency Department-Initiated BuprenorphinE for Opioid Use Disorder †
Melnick ER, Nath B, Ahmed OM, Brandt C, Chartash D, Dziura JD, Hess EP, Holland WC, Hoppe JA, Jeffery MM, Katsovich L, Li F, Lu CC, Maciejewski K, Maleska M, Mao JA, Martel S, Michael S, Paek H, Patel MD, Platts-Mills TF, Rajeevan H, Ray JM, Skains RM, Soares WE, Deutsch A, Solad Y, D’Onofrio G. Progress Report on EMBED: A Pragmatic Trial of User-Centered Clinical Decision Support to Implement EMergency Department-Initiated BuprenorphinE for Opioid Use Disorder †. Journal Of Psychiatry And Brain Science 2020, 2: e200003. PMID: 32309637, PMCID: PMC7164817, DOI: 10.20900/jpbs.20200003.Peer-Reviewed Original ResearchBuprenorphine/naloxoneOpioid use disorderClinical decision supportPragmatic trialElectronic health recordsUse disordersEmergency Department-Initiated BuprenorphineMulti-centre pragmatic trialRoutine emergency careHealthcare systemRates of EDNaloxone prescribingPilot testingSingle EDEmergency departmentPhysicians' perceptionsEmergency careMortality rateEarly identificationComputable phenotypeUnique physiciansInformed consentCare paradigmHealth recordsIntervention effectiveness
2019
Identifying Opioid Use Disorder in the Emergency Department: Multi-System Electronic Health Record–Based Computable Phenotype Derivation and Validation Study
Chartash D, Paek H, Dziura JD, Ross BK, Nogee DP, Boccio E, Hines C, Schott AM, Jeffery MM, Patel MD, Platts-Mills TF, Ahmed O, Brandt C, Couturier K, Melnick E. Identifying Opioid Use Disorder in the Emergency Department: Multi-System Electronic Health Record–Based Computable Phenotype Derivation and Validation Study. JMIR Medical Informatics 2019, 7: e15794. PMID: 31674913, PMCID: PMC6913746, DOI: 10.2196/15794.Peer-Reviewed Original ResearchOpioid use disorderNegative predictive valuePositive predictive valueEmergency department patientsEmergency departmentUse disordersHealth care systemPredictive valueComputable phenotypeExternal validation phasesDepartment patientsCare systemPhysician chart reviewLarge health care systemExternal validation cohortEmergency medicine physiciansHigh predictive valueElectronic health recordsChart reviewChief complaintValidation cohortPragmatic trialClinical dataBilling codesMedicine physiciansUser-centred clinical decision support to implement emergency department-initiated buprenorphine for opioid use disorder: protocol for the pragmatic group randomised EMBED trial
Melnick ER, Jeffery MM, Dziura JD, Mao JA, Hess EP, Platts-Mills TF, Solad Y, Paek H, Martel S, Patel MD, Bankowski L, Lu C, Brandt C, D’Onofrio G. User-centred clinical decision support to implement emergency department-initiated buprenorphine for opioid use disorder: protocol for the pragmatic group randomised EMBED trial. BMJ Open 2019, 9: e028488. PMID: 31152039, PMCID: PMC6550013, DOI: 10.1136/bmjopen-2018-028488.Peer-Reviewed Original ResearchMeSH KeywordsAdultBuprenorphineCluster AnalysisDecision Support Systems, ClinicalEmergency Service, HospitalFemaleHumansMaleMiddle AgedMulticenter Studies as TopicNarcotic AntagonistsOpiate Substitution TreatmentOpioid-Related DisordersPragmatic Clinical Trials as TopicRandomized Controlled Trials as TopicUnited StatesYoung AdultConceptsOpioid use disorderEmergency departmentSecondary outcomesUse disordersEmergency department-initiated buprenorphineWestern Institutional Review BoardData Safety Monitoring BoardIndependent study monitorsRates of cliniciansRoutine emergency careSafety monitoring boardInstitutional review boardClinical decision support systemClinician prescribingPragmatic clusterPatient characteristicsPeer-reviewed journalsClinical decision supportPrimary outcomeED cliniciansWithdrawal symptomsOngoing treatmentPatients' willingnessMonitoring boardBuprenorphine
2018
A Community Health Center Blueprint for Responding to the Needs of the Displaced after a Natural Disaster: The Hurricane Maria Experience
Paek H, Niess M, Padilla B, Olson D. A Community Health Center Blueprint for Responding to the Needs of the Displaced after a Natural Disaster: The Hurricane Maria Experience. Journal Of Health Care For The Poor And Underserved 2018, 29: x-xvi. PMID: 29805122, DOI: 10.1353/hpu.2018.0040.Peer-Reviewed Original Research
2017
Metformin Prevents the Progression of Dysplastic Mucosa of the Head and Neck to Carcinoma in Nondiabetic Patients
Lerner MZ, Mor N, Paek H, Blitzer A, Strome M. Metformin Prevents the Progression of Dysplastic Mucosa of the Head and Neck to Carcinoma in Nondiabetic Patients. Annals Of Otology Rhinology & Laryngology 2017, 126: 340-343. PMID: 28103701, DOI: 10.1177/0003489416688478.Peer-Reviewed Original ResearchConceptsSquamous cell carcinomaAdjuvant metformin therapyHNC patientsMetformin therapyDiabetes mellitusOral cavity squamous cell carcinomaType 2 diabetes mellitusLaryngeal squamous cell carcinomaOral anti-hyperglycemic agentAbnormal glucose metabolismRisk of malignancyAnti-hyperglycemic agentsMultifocal dysplastic lesionsNondiabetic patientsAdjuvant therapyNondiabetic populationOverall survivalAdditional surgeryMucosal lesionsCase seriesOral lesionsCell carcinomaNeck cancerDysplastic lesionsDysplastic mucosa
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
2006
Qualitative study of patients' perceptions of safety and risk related to electronic health records in a hospital.
Paek HM, Swiatek-Kelley J, O'Connell R, Brandt C. Qualitative study of patients' perceptions of safety and risk related to electronic health records in a hospital. AMIA Annual Symposium Proceedings 2006, 2006: 1054. PMID: 17238673, PMCID: PMC1839539.Peer-Reviewed Original Research