Hyung Paek, MD, MSEE
Lecturer in Biostatistics (Health Informatics)DownloadHi-Res Photo
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Additional Titles
Clinical Informatician, Biomedical Informatics & Data Science
Contact Info
About
Titles
Lecturer in Biostatistics (Health Informatics)
Clinical Informatician, Biomedical Informatics & Data Science
Appointments
Biostatistics
LecturerPrimary
Other Departments & Organizations
Education & Training
- MD
- St. Louis University (1996)
- MSEE
- Polutechnic University, Electrical Engineering (1986)
Board Certifications
Clinical Informatics
- Certification Organization
- abpm
- Original Certification Date
- 2017
Internal Medicine
- Certification Organization
- ABIM
- Original Certification Date
- 2000
Research
Overview
Medical Research Interests
Informatics
ORCID
0000-0001-9523-0930
Research at a Glance
Yale Co-Authors
Frequent collaborators of Hyung Paek's published research.
Publications Timeline
A big-picture view of Hyung Paek's research output by year.
Ted Melnick, MD, MHS
Bidisha Nath, MBBS, MPH
Gail D'Onofrio, MD, MS
James Dziura, MPH, PhD
Andrew Loza, MD, PhD
David Chartash, PhD
24Publications
385Citations
Publications
2025
Adaptive decision support for addiction treatment to implement initiation of buprenorphine for opioid use disorder in the emergency department: protocol for the ADAPT Multiphase Optimization Strategy trial
Iscoe M, Hooper C, Levy D, Buchanan L, Dziura J, Meeker D, Taylor R, D’Onofrio G, Oladele C, Sarpong D, Paek H, Wilson F, Heagerty P, Delgado M, Hoppe J, Melnick E. Adaptive decision support for addiction treatment to implement initiation of buprenorphine for opioid use disorder in the emergency department: protocol for the ADAPT Multiphase Optimization Strategy trial. BMJ Open 2025, 15: e098072. PMID: 39979056, PMCID: PMC11842997, DOI: 10.1136/bmjopen-2024-098072.Peer-Reviewed Original ResearchMeSH Keywords and ConceptsConceptsClinical decision supportMultiphase optimization strategyOpioid use disorderEmergency departmentInitiation of buprenorphineClinical decision support usePlan-Do-Study-Act cyclesLearning health system approachPlan-Do-Study-ActClinical decision support toolHealth system approachAdaptive decision supportUse disorderDecision supportAddiction treatmentPeer-reviewed journalsBuprenorphine initiationOpioid use disorder treatment initiationOpioid-related mortalityIntervention componentsED settingClinician feedbackInstitute Institutional Review BoardTreatment of opioid use disorderParticipating sites
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 ResearchAltmetric
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 ResearchCitationsAltmetricConceptsPatient-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 ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsHealth 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 ResearchCitationsAltmetricConceptsElectronic 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 ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsElectronic 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 ResearchCitationsAltmetricMeSH Keywords and ConceptsPredicting 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 ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsElectronic 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 ResearchCitationsAltmetric
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