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
Associate Professor of Biomedical Informatics & Data Science, Biomedical Informatics & Data Science
Publications Overview
- 112 Publications
- 2,784 Citations
- 76 Yale Co-Authors
ACCELERATE Lab
Additional Titles
Section Chief for Research, Emergency Medicine
Director, Clinical Informatics Fellowship
Associate Professor of Biomedical Informatics & Data Science, Biomedical Informatics & Data Science
Publications Overview
- 112 Publications
- 2,784 Citations
- 76 Yale Co-Authors
ACCELERATE Lab
Additional Titles
Section Chief for Research, Emergency Medicine
Director, Clinical Informatics Fellowship
Associate Professor of Biomedical Informatics & Data Science, Biomedical Informatics & Data Science
Publications Overview
- 112 Publications
- 2,784 Citations
- 76 Yale Co-Authors
ACCELERATE Lab
About
Copy Link
Titles
Associate Professor of Emergency Medicine and of Biostatistics (Health Informatics)
Section Chief for Research, Emergency Medicine; Director, Clinical Informatics Fellowship; Associate Professor of Biomedical Informatics & Data Science, Biomedical Informatics & Data Science
Biography
Dr. Melnick is a nationally recognized clinician-scientist in emergency medicine, clinical informatics, and health services research whose work focuses on designing, implementing, and evaluating scalable, real-world interventions that improve care delivery and patient outcomes. His research integrates electronic health record (EHR) data, clinical decision support, and emerging AI-enabled tools with rigorous health services and implementation science methods to redesign clinical workflows and enable learning health systems at scale. Across this work, he focuses on translating evidence into routine practice and measuring the impact of digital health systems on quality, safety, efficiency, and the clinician experience.
He has served as Principal Investigator of multiple federally funded studies, including the NIH/NIDA-supported ADAPT trial, a multi-year R33 project evaluating a multicomponent clinical decision support strategy to improve emergency department initiation of treatment for opioid use disorder. He has also led a national collaboration with the American Medical Association to develop and apply EHR-derived measures that more accurately capture clinical work and inform system-level transformation. His scholarship has contributed to national efforts to understand and improve EHR usability, clinician workload, and health system performance.
Dr. Melnick is Chief of the Research Section in the Department of Emergency Medicine at Yale School of Medicine and Program Director of the Yale/VA Clinical Informatics Fellowship. He is double board-certified in Emergency Medicine and Clinical Informatics and practices clinically at Yale New Haven Hospital. He is deeply committed to mentorship and has trained faculty, fellows, residents, and students across disciplines and career stages, many of whom have gone on to careers in clinical informatics, health services research, and academic medicine.
More information available here: https://www.yalesymposia.org/faculty-lp/2020/5/30/mind-body-and-soul-discovering-an-unexpected-art-form-7rysy-el5gl-s32kr-95cxg
Appointments
Emergency Medicine
Associate Professor on TermPrimaryBiomedical Informatics & Data Science
Associate Professor on TermSecondaryBiostatistics
Associate Professor on TermSecondary
Other Departments & Organizations
- All Institutions
- Biomedical Informatics & Data Science
- Biostatistics
- 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 New Haven Health System
- Yale School of Public Health
- Yale-BI Biomedical Data Science Fellowship
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
Copy Link
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
Gail D'Onofrio, MD, MS
Arjun Venkatesh, MD, MBA, MHS
Mark Iscoe, MD, MHS
Andrew Loza, MD, PhD
James Dziura, MPH, PhD
Andrew Taylor, MD, MHS
Electronic Health Records
Publications
2026
Reframing ED Boarding Through a Human Factors Sociotechnical Systems Lens.
Seo W, Ratwani R, Pines J, Melnick E. Reframing ED Boarding Through a Human Factors Sociotechnical Systems Lens. Journal Of Patient Safety 2026 PMID: 41960648, DOI: 10.1097/pts.0000000000001507.Peer-Reviewed Original ResearchA Scoping Review of Teamwork, Patient Safety, and Clinician Well‐Being in the Emergency Department
Pavuluri S, Bray A, Sherak R, Hooper C, Sangal R, Melnick E. A Scoping Review of Teamwork, Patient Safety, and Clinician Well‐Being in the Emergency Department. Academic Emergency Medicine 2026, 33: e70262. PMID: 41877320, DOI: 10.1111/acem.70262.Peer-Reviewed Original ResearchMeSH Keywords and ConceptsConceptsPatient safetyEmergency departmentWell-beingPoorer teamwork climateTeam-based interventionClinician well-beingO'Malley methodological frameworkSelf-reported errorsRobust evidence baseSelf-reported perceptionsFrequent exposure to violenceTeamwork climateInterprofessional teamworkCare eventsED settingScoping ReviewLower burnoutSafety cultureJob dissatisfactionEvidence baseAbstract reviewOvid MEDLINEInclusion criteriaEmergency servicesMedical librariansChiropractor perspectives on the use of patient reported outcome measures: a survey of Veterans Health Administration chiropractors
Coleman B, Brandt C, Melnick E, Kawecki T, Heapy A, Lisi A. Chiropractor perspectives on the use of patient reported outcome measures: a survey of Veterans Health Administration chiropractors. Chiropractic & Manual Therapies 2026 PMID: 41851793, DOI: 10.1186/s12998-026-00631-5.Peer-Reviewed Original ResearchConceptsVeterans Health AdministrationChiropractors' perspectivesPROM useFollow-up visitOutcome measuresLow back painPoint of careChiropractic careChiropractic practiceNeck painChiropractorsBack painHealth systemWilcoxon signed-rank testHealth AdministrationPain presentationsPain intensitySurvey itemsComplaint categoriesDescriptive statisticsInitial visitResultsThe surveySigned-rank testAdministrative workflowKruskal-Wallis H testCorrection: Real-World Evidence Synthesis of Digital Scribes Using Ambient Listening and Generative Artificial Intelligence for Clinician Documentation Workflows: Rapid Review
Kanaparthy N, Villuendas-Rey Y, Bakare T, Diao Z, Iscoe M, Loza A, Wright D, Safranek C, Faustino I, Brackett A, Melnick E, Taylor R. Correction: Real-World Evidence Synthesis of Digital Scribes Using Ambient Listening and Generative Artificial Intelligence for Clinician Documentation Workflows: Rapid Review. JMIR AI 2026, 5: e93250. PMID: 41824620, PMCID: PMC12986773, DOI: 10.2196/93250.Peer-Reviewed Original ResearchEmergency Physicians' Electronic Health Record Use and High-Risk Unscheduled Return Visits: A Case-Control Study
Iscoe M, Feit B, Venkatesh A, Holland M, Melnick E. Emergency Physicians' Electronic Health Record Use and High-Risk Unscheduled Return Visits: A Case-Control Study. Journal Of Emergency Medicine 2026 DOI: 10.1016/j.jemermed.2026.02.039.Peer-Reviewed Original ResearchConceptsElectronic health recordsED visitsAssociated with oddsUnscheduled returnsEHR timeRetrospective case-control studyUnscheduled return visitsChief complaintSingle health systemEHR useED qualityHealth recordsNight arrivalHealth systemED dischargeIndex visitStudy of adult patientsHigh-risk groupCharlson Comorbidity IndexHospital admissionReturn visitsInclusion criteriaAcuity scoresLogistic regressionCase-control study of adult patientsElectronic health record use factors linked to efficiency and productivity: an explainable machine learning analysis
Li H, Khanna V, Apathy N, Holmgren A, Loza A, Melnick E. Electronic health record use factors linked to efficiency and productivity: an explainable machine learning analysis. JAMIA Open 2026, 9: ooag018. PMID: 41767181, PMCID: PMC12936052, DOI: 10.1093/jamiaopen/ooag018.Peer-Reviewed Original ResearchAltmetricConceptsElectronic health recordsEHR timeVisit volumePhysician efficiencyPatient visit volumeLongitudinal cohort studyInbox managementChart completionUnique physiciansHealth recordsPatient careSecondary analysisCohort studyPhysiciansWork environmentEfficient working environmentUS organizationsQuintileCareMachine Learning ClassifiersSpecialtyVisitsInterventionLt;25Use factors
2025
Protected Time for Electronic Health Record Work and Physician Productivity
Kanaparthy N, Holmgren A, Sun Y, Paek H, Williams B, McLean R, Doolan R, Goodman K, Rotenstein L, Melnick E. Protected Time for Electronic Health Record Work and Physician Productivity. JAMA Network Open 2025, 8: e2546550. PMID: 41329489, PMCID: PMC12673411, DOI: 10.1001/jamanetworkopen.2025.46550.Peer-Reviewed Original ResearchAltmetricAccuracy without compromise: a programming-inspired solution for EHR workflow redesign in the generative AI Era
Melnick E, Moser F, Loza A. Accuracy without compromise: a programming-inspired solution for EHR workflow redesign in the generative AI Era. Discover Artificial Intelligence 2025, 5: 338. DOI: 10.1007/s44163-025-00662-6.Peer-Reviewed Original ResearchAltmetricConceptsLanguage Server ProtocolModern software developmentSpeech-to-text transcriptionStandards-based platformBack-end servicesSoftware developmentServer protocolsLanguage modelWorkflow redesignUser interfaceTransform documentsAmbient systemsGenerative AIOpen standardsBack-endTraditional documentsInformation managementError detectionReal-timeAI eraEHRClinical documentationInformation boxesClinical workflowDecision-support toolReal-World Evidence Synthesis of Digital Scribes Using Ambient Listening and Generative Artificial Intelligence for Clinician Documentation Workflows: Rapid Review
Kanaparthy N, Villuendas-Rey Y, Bakare T, Diao Z, Iscoe M, Loza A, Wright D, Safranek C, Faustino I, Brackett A, Melnick E, Taylor R. Real-World Evidence Synthesis of Digital Scribes Using Ambient Listening and Generative Artificial Intelligence for Clinician Documentation Workflows: Rapid Review. JMIR AI 2025, 4: e76743. PMID: 41071988, PMCID: PMC12513689, DOI: 10.2196/76743.Peer-Reviewed Original ResearchCitationsTrends in and Predictors of Physician Attrition From Clinical Practice Across Specialties : A Nationwide, Longitudinal Analysis.
Rotenstein L, He Z, Dziura J, Tsugawa Y, Venkatesh A, Melnick E, Gettel C. Trends in and Predictors of Physician Attrition From Clinical Practice Across Specialties : A Nationwide, Longitudinal Analysis. Annals Of Internal Medicine 2025, 178: 1698-1708. PMID: 41052447, DOI: 10.7326/annals-25-00564.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsPhysician attritionFemale physiciansUnadjusted ratesClinical practiceMedicare fee-for-service beneficiariesFee-for-service beneficiariesProportion of physiciansGroup of physiciansAssociated with attritionDesign of interventionsDual-eligible beneficiariesLikelihood of attritionAverage risk scorePhysician workforceWorkforce planningMedicare beneficiariesRates of attritionMedicare patientsAdjusted modelsRisk scorePhysiciansMedicareRural areasUrban settingsPatient characteristics
Academic Achievements & Community Involvement
Copy Link
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
Copy Link
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
Are You a Patient?
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
Copy Link
News
- February 26, 2026
Yale Emergency Medicine #2 in NIH Funding with 14 Faculty Ranked Nationally
- October 07, 2025
Increases in Physician Attrition Rates Could Worsen Shortages
- August 04, 2025
Closing the communication gap: The new priority in public health
- July 01, 2025
Graduate Spotlight: Huan Li's Journey Through Yale's CBB PhD Program
Get In Touch
Copy Link