Ted Melnick, MD, MHS
Associate Professor of Emergency Medicine and of Biostatistics (Health Informatics)Cards
Additional Titles
Section Chief for Research, Emergency Medicine
Director, Clinical Informatics Fellowship
Publications Overview
- 98 Publications
- 2,261 Citations
- 64 Yale Co-Authors
ACCELERATE Lab
Additional Titles
Section Chief for Research, Emergency Medicine
Director, Clinical Informatics Fellowship
Publications Overview
- 98 Publications
- 2,261 Citations
- 64 Yale Co-Authors
ACCELERATE Lab
Additional Titles
Section Chief for Research, Emergency Medicine
Director, Clinical Informatics Fellowship
Publications Overview
- 98 Publications
- 2,261 Citations
- 64 Yale Co-Authors
ACCELERATE Lab
About
Titles
Associate Professor of Emergency Medicine and of Biostatistics (Health Informatics)
Section Chief for Research, Emergency Medicine; Director, Clinical Informatics Fellowship
Biography
Dr. Melnick completed his medical degree at the Georgetown University School of Medicine and his emergency medicine residency at the Mount Sinai School of Medicine. Dr. Melnick's research focuses on improving EHR usability as a means to achieve the quadruple aim to improve healthcare delivery. He is currently launching a five-year National Institute on Drug Abuse R33 award as Principal Investigator of the ADAPT project to refine and evaluate the uptake, usability, and equity of a nationally disseminated multicomponent clinical decision support intervention previously developed by his team to increase treatment initiation in the emergency care of people with opioid use disorder. That previous tool was a five-year UG3/UH3 award to develop, disseminate, implement, and test a user-centered decision support system to facilitate ED-initiation of buprenorphine for individuals suffering from opioid use disorder. Dr. Melnick is in his fifth year of funding by the American Medical Association to study EHR use and its relationship to physician professional burnout and retention. From 2013-2018, Dr. Melnick completed a five-year K08 career development award with the Agency for Healthcare Research and Quality. As the Interim Research Section Chief and Program Director for the Yale/VA Clinical Informatics Fellowship and the Informatics Track for the Yale School of Medicine Master of Health Science Degree Program degree, Dr. Melnick plays an active role in education and research mentorship for junior faculty, informatics fellows, emergency medicine residents, and Yale School of Medicine students. Double board-certified in Emergency Medicine and Clinical Informatics, Dr. Melnick works clinically as an attending physician in the Emergency Department at Yale-New Haven Hospital’s York Street and Shoreline campuses.
Appointments
Emergency Medicine
Associate Professor on TermPrimaryBiomedical Informatics & Data Science
Associate Professor on TermSecondaryBiostatistics
Associate Professor on TermSecondary
Other Departments & Organizations
- Biomedical Informatics & Data Science
- Biostatistics
- Center for Biomedical Data Science
- Computational Biology and Biomedical Informatics
- Emergency Medicine
- Emergency Medicine York Street Campus Faculty
- Melnick Informatics Lab
- Yale Combined Program in the Biological and Biomedical Sciences (BBS)
- Yale Medicine
- Yale School of Public Health
Education & Training
- MHS
- Yale University School of Medicine, Clinical Informatics (2014)
- Health Research and Health Policy Training Associate
- Yale School of Medicine (2014)
- Chief Resident
- Mount Sinai School of Medicine (2008)
- Resident
- Mount Sinai School of Medicine (2008)
- Intern
- Mount Sinai School of Medicine (2005)
- MD
- Georgetown University School of Medicine (2004)
- BA
- Williams College (1999)
Research
Overview
Medical Research Interests
ORCID
0000-0002-6509-9537- View Lab Website
ACCELERATE Lab
Research at a Glance
Yale Co-Authors
Publications Timeline
Research Interests
Bidisha Nath, MBBS, MPH
Gail D'Onofrio, MD, MS
Hyung Paek, MD, MSEE
Arjun Venkatesh, MD, MBA, MHS
James Dziura, MPH, PhD
Long H. Tu, MD, PhD
Electronic Health Records
Publications
2025
The Effect of Ambient Artificial Intelligence Scribes on Trainee Documentation Burden.
Wright DS, Kanaparthy N, Melnick ER, Levy DR, Huot SJ, Hsiao A, Schwamm L, Ong SY. The Effect of Ambient Artificial Intelligence Scribes on Trainee Documentation Burden. Appl Clin Inform 2025 PMID: 40602775, DOI: 10.1055/a-2647-1142.Peer-Reviewed Original ResearchBoarding in Emergency Department Hallways Circa 2025: Why Older Adult Patients Deserve Better
Pines J, Ratwani R, Melnick E. Boarding in Emergency Department Hallways Circa 2025: Why Older Adult Patients Deserve Better. Journal Of The American Geriatrics Society 2025 PMID: 40553078, DOI: 10.1111/jgs.19602.Peer-Reviewed Original ResearchHealth Services Usage in Patients Receiving Buprenorphine for Opioid Use Disorder or Long-Term Opioid Therapy for Chronic Pain: Retrospective Cohort Study
Savitz S, Stevens M, Nath B, D'Onofrio G, Melnick E, Jeffery M. Health Services Usage in Patients Receiving Buprenorphine for Opioid Use Disorder or Long-Term Opioid Therapy for Chronic Pain: Retrospective Cohort Study. JMIR Formative Research 2025, 9: e66596. PMID: 40537088, DOI: 10.2196/66596.Peer-Reviewed Original ResearchAltmetricMeSH Keywords and ConceptsConceptsIncidence rate ratiosLong-term opioid therapyIn-person careMental illness cohortOpioid use disorderIn-personTelemedicine visitsChronic painPain medicineOpioid therapyEmergency medicineMental healthFamily practiceHealth service usageChronic opioidsPercentage of visitsIn-person visitsIn-person treatmentPoor outcomeAdministrative claims dataUse disorderMedicare Advantage patientsOptumLabs Data WarehouseVulnerable patient populationCare deliveryDiagnostic yield of an abbreviated MRI protocol in the evaluation of dizziness in the emergency department, a single institutional experience
Shareef F, Tu L, Neupane A, Siddique Z, Joshi R, Melnick E, Wira C, Mahajan A. Diagnostic yield of an abbreviated MRI protocol in the evaluation of dizziness in the emergency department, a single institutional experience. Emergency Radiology 2025, 1-10. PMID: 40471503, DOI: 10.1007/s10140-025-02349-y.Peer-Reviewed Original ResearchConceptsAbbreviated MRI protocolDiagnostic yieldIntracranial pathologyEmergency departmentAcute findingsMRI protocolEvaluation of dizzinessMethodThis retrospective studyDetecting intracranial pathologySignificant intracranial pathologyAxial DWIAxial FLAIRProtocol MRIAbbreviated protocolSupratentorial pathologySWI sequencesMRI findingsRetrospective studyUrgent care settingsAdult patientsCentral etiologyAcute dizzinessInfratentorial siteInstitutional experienceInfarct characteristicsPredicting Agitation Events in the Emergency Department Through Artificial Intelligence
Wong A, Sapre A, Wang K, Nath B, Shah D, Kumar A, Faustino I, Desai R, Hu Y, Robinson L, Meng C, Tong G, Bernstein S, Yonkers K, Melnick E, Dziura J, Taylor R. Predicting Agitation Events in the Emergency Department Through Artificial Intelligence. JAMA Network Open 2025, 8: e258927. PMID: 40332935, PMCID: PMC12059975, DOI: 10.1001/jamanetworkopen.2025.8927.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsED visitsEmergency departmentAgitation eventsElectronic health record dataArea under the receiver operating characteristic curvePatient-centered careHealth service utilizationPrimary outcomeHealth record dataUrban health systemED visit dataMode of arrivalPrevention of agitationOutcome of agitationDiverse patient populationsRestraint ordersCross-sectional cohortService utilizationVital signsED sitesHealth systemMain OutcomesRestraint eventsRange of predicted probabilitiesVisit dataDisentangling informing participants from obtaining their consent
O'Rourke P, Ali J, Carrithers J, Magnus D, Wilfond B, Bull S, Dember L, D'Onofrio G, Goldman J, Ho P, Melnick E, Staman K, Tulsky J, Vazquez M, Volandes A, Wendler D. Disentangling informing participants from obtaining their consent. Learning Health Systems 2025 DOI: 10.1002/lrh2.70014.Peer-Reviewed Original ResearchAltmetricConceptsResearch consentParticipants' understandingContext of routine careStudy team membersPragmatic clinical trialsContext of trialsRoutine careConsentWaiverParticipant consentParticipant engagementResearch participantsEthical analysisTeam membersSignificant riskInstitutional review boardParticipantsParticipants' abilityReview boardCommunicating informationTrialsRegulatory criteriaRiskMonitoring in pragmatic trials lessons from the NIH pragmatic trials collaboratory
Curtis L, Morain S, O'Rourke P, Staman K, Jarvik J, Cheville A, Dailey D, Sluka K, Heagerty P, Melnick E, Chakraborty H, Tulsky J, Volandes A, Simon G. Monitoring in pragmatic trials lessons from the NIH pragmatic trials collaboratory. Contemporary Clinical Trials 2025, 152: 107866. PMID: 40015598, PMCID: PMC12087796, DOI: 10.1016/j.cct.2025.107866.Peer-Reviewed Original ResearchAltmetricAdaptive 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 sitesImputation of missing aggregate EHR audit log data across individual and multiple organizations
Li H, Apathy N, Holmgren A, Melnick E, McDougal R. Imputation of missing aggregate EHR audit log data across individual and multiple organizations. Journal Of Biomedical Informatics 2025, 163: 104805. PMID: 39978430, DOI: 10.1016/j.jbi.2025.104805.Peer-Reviewed Original ResearchMeSH Keywords and ConceptsConceptsAudit log dataMulti-site organizationLog dataSize of organismsMachine learning methodsOrgan sizeNon-time-seriesLearning methodsIn-house implementationEHR vendorsSmall-sized organismsTime series methodsSmall organismsStrategy efficacyEvaluate performanceMissing percentageTeaching statusMachineModel selectionXGBoostSubgroup criteriaImputation processOrganizationIndividual organsVariable classificationInterventions to Mitigate EHR and Documentation Burden in Health Professions Trainees: A Scoping Review
Levy D, Rossetti S, Brandt C, Melnick E, Hamilton A, Rinne S, Womack D, Mohan V. Interventions to Mitigate EHR and Documentation Burden in Health Professions Trainees: A Scoping Review. Applied Clinical Informatics 2025, 16: 111-127. PMID: 39366661, PMCID: PMC11798655, DOI: 10.1055/a-2434-5177.Peer-Reviewed Original ResearchCitationsAltmetricConceptsEHR burdenElectronic health recordsHealth professions traineesExperiences of interventionsHealth professionalsDocumentation burdenInpatient settingExperienced health professionalsBurden modelPeer-reviewed studiesQuasi-experimental designDesigning new interventionsShift handoffsEHR workflowPhysician traineesPerspective of interventionHealth recordsPRISMA-ScRScoping reviewLiving tasksConcept clarificationTeam communicationTrainee experienceWorkflow modelNew interventions
Academic Achievements & Community Involvement
Honors
honor Young Investigator Award
05/17/2017National AwardSociety for Academic Emergency MedicineDetailsUnited Stateshonor Plenary Session
05/13/2015National AwardSociety for Academic Emergency Medicine (SAEM) Annual MeetingDetailsUnited Stateshonor AHRQ Mentored Clinical Scientist Research Career Development Award (K08)
05/01/2013National AwardAgency for Healthcare Research & QualityDetailsUnited Stateshonor Service to Section Award
09/01/2010National AwardAmerican College of Emergency PhysiciansDetailsUnited Stateshonor Informatics Section Grant
07/01/2008National AwardAmerican College of Emergency PhysiciansDetailsUnited States
Clinical Care
Overview
Ted Melnick, MD, specializes in emergency medicine and clinical informatics, using technology and data to improve healthcare delivery.
As an associate professor of emergency medicine and biostatistics (health informatics) at Yale School of Medicine, Dr. Melnick is working to improving the use of electronic health records (EHR) and has contributed to research on the relationship between EHR use and physician burnout. He also works on projects to help start treatment for opioid use disorder in emergency settings.
Dr. Melnick received his medical degree from Georgetown University School of Medicine and completed his residency in emergency medicine at Mount Sinai School of Medicine.
Clinical Specialties
Fact Sheets
Concussion Testing
Learn More on Yale Medicine
Board Certifications
Clinical Informatics
- Certification Organization
- AB of Preventive Medicine
- Original Certification Date
- 2016
Emergency Medicine
- Certification Organization
- AB of Emergency Medicine
- Original Certification Date
- 2009
Yale Medicine News
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View this doctor's clinical profile on the Yale Medicine website for information about the services we offer and making an appointment.
View Doctor ProfileNews & Links
News
- July 01, 2025
Graduate Spotlight: Huan Li's Journey Through Yale's CBB PhD Program
- June 05, 2025Source: Yale News
Can AI Make the Emergency Department Safer for Patients and Providers?
- March 11, 2025
Yale Emergency Medicine Extends Its Legacy as a National Leader
- March 08, 2024
Yale Emergency Medicine Ranks First for Third Year in NIH Funding According to National Report