Mark Iscoe, MD, MHS
Assistant Professor of Emergency Medicine and Biomedical Informatics and Data ScienceDownloadHi-Res Photo
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Biomedical Informatics & Data Science
Fully Joint
Emergency Medicine
Fully Joint
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Assistant Professor of Emergency Medicine and Biomedical Informatics and Data Science
Biography
Dr. Iscoe is an assistant professor of Emergency Medicine and Biomedical Informatics & Data Science. In his research, he applies informatics techniques including real-world data analysis, natural language processing, and predictive modeling to various aspects of emergency care, with a focus on clinical decision-making in areas of diagnostic uncertainty or practice variation. Along with Dr. Daniella Meeker, he co-teaches CBB 576: Foundations of Real-World Data. He practices clinically at the Yale New Haven Hospital, Yale New Haven Hospital St. Raphael Campus, and Shoreline Medical Center emergency departments.
Last Updated on May 05, 2026.
Appointments
Biomedical Informatics & Data Science
Assistant ProfessorFully JointEmergency Medicine
Assistant ProfessorFully Joint
Other Departments & Organizations
- Biomedical Informatics & Data Science
- Computational Biology and Biomedical Informatics
- Emergency Medicine
- Janeway Society
- Real-world Evidence in Acute Care Lab
- Yale Combined Program in the Biological and Biomedical Sciences (BBS)
- Yale Medicine
- Yale New Haven Health System
Education & Training
- MHS
- Yale School of Medicine, Clinical Informatics (2023)
- Residency, Emergency Medicine
- New York University / Bellevue Hospital (2021)
- MD
- Johns Hopkins University School of Medicine (2017)
- BA
- Yale College, History (2010)
Board Certifications
Clinical Informatics
- Certification Organization
- AB of Preventive Medicine
- Original Certification Date
- 2024
Emergency Medicine
- Certification Organization
- AB of Emergency Medicine
- Original Certification Date
- 2022
Research
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Research Projects
ORCID
0000-0003-4446-2488
Research at a Glance
Yale Co-Authors
Frequent collaborators of Mark Iscoe's published research.
Publications Timeline
A big-picture view of Mark Iscoe's research output by year.
Andrew Taylor, MD, MHS
Ted Melnick, MD, MHS
Arjun Venkatesh, MD, MBA, MHS
Rohit Sangal, MD, MBA, FACEP
Donald Wright, MD, MHS
Vimig Socrates, MS
31Publications
348Citations
Publications
2026
Implementation of an opioid use disorder (OUD) machine-learning phenotype in real-time for the ADAPT clinical trial
Li H, Iscoe M, Lutz J, Hopper C, Fried S, Minaya J, King C, Reykhart O, Paek H, Meeker D, Melnick E, Taylor R. Implementation of an opioid use disorder (OUD) machine-learning phenotype in real-time for the ADAPT clinical trial. PLOS Digital Health 2026, 5: e0001140. PMID: 42691440, PMCID: PMC13541308, DOI: 10.1371/journal.pdig.0001140.Peer-Reviewed Original ResearchFederated modular clinical decision support networks for collaborative learning in resource-limited settings
Trottet C, Doenz J, Mastel P, Rwandarwacu V, Luwanda L, Mangu C, Iscoe M, Tan R, Krauthammer M, Kulinkina A, Hartley M. Federated modular clinical decision support networks for collaborative learning in resource-limited settings. Npj Digital Medicine 2026 DOI: 10.1038/s41746-026-03006-5.Peer-Reviewed Original ResearchAssigning Probable Dementia Status Using Routinely Collected Electronic Health Record Data
Festa N, Alexovitz K, Sifnugel N, Cohen I, Faustino I, Khasnavis S, Young J, Iscoe M, Mecca A, Han L, Hwang U. Assigning Probable Dementia Status Using Routinely Collected Electronic Health Record Data. Journal Of The American Geriatrics Society 2026, 74: 2326-2337. PMID: 42410282, PMCID: PMC13496366, DOI: 10.1111/jgs.70562.Peer-Reviewed Original ResearchCitationsAltmetricHigh‐Risk Medication Prescribing Among Older Adults in the Emergency Department: A National Assessment
Follman S, Canavan M, Rothenberg C, Iscoe M, Venkatesh A, Ramachandran R, Gettel C. High‐Risk Medication Prescribing Among Older Adults in the Emergency Department: A National Assessment. Academic Emergency Medicine 2026, 33: e70321. PMID: 42136546, DOI: 10.1111/acem.70321.Peer-Reviewed Original ResearchEvaluating the Potential Impact of AI on Urinary Tract Infection Diagnosis in the Emergency Department Across Demographic Groups: Retrospective Cohort Study
Iscoe M, Li H, Xue H, Socrates V, Gilson A, Huang T, Taylor R. Evaluating the Potential Impact of AI on Urinary Tract Infection Diagnosis in the Emergency Department Across Demographic Groups: Retrospective Cohort Study. JMIR AI 2026, 5: e91148. PMID: 42090580, PMCID: PMC13148603, DOI: 10.2196/91148.Peer-Reviewed Original ResearchCitationsHigh-Risk Medication Prescriptions Among Older Adults Discharged from the Emergency Department
Iscoe M, Sangal R, Hwang U, Fried T, Meeker D, Conner T, Gettel C, Follman S, Wright D, Venkatesh A. High-Risk Medication Prescriptions Among Older Adults Discharged from the Emergency Department. JAMA Internal Medicine 2026, 186: 483-486. PMID: 41661555, PMCID: PMC12887836, DOI: 10.1001/jamainternmed.2025.7883.Peer-Reviewed Original ResearchThis study investigates high-risk medication prescribing for older adults discharged from emergency departments, showing 6.5% receive potentially inappropriate medications, highlighting opportunities for safer practices.Emergency 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, 86: 31-38. PMID: 42134103, DOI: 10.1016/j.jemermed.2026.02.039.Peer-Reviewed Original ResearchThis study investigates whether emergency physicians' time on electronic health records impacts high-risk return visits, finding no significant association, highlighting the need for further research.Correction: 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.Commentaries, Editorials and LettersCitationsBoard Examination Pass Rates of Emergency Medicine Residency Training Programs: Associations With Founding Year, Teaching Status, Length, and Hospital Ownership
Topping C, Venkatesh A, Rothenberg C, Goldflam K, Carter W, Chung A, Siegelman J, Sangal R, Iscoe M, Ulrich A, Gettel C. Board Examination Pass Rates of Emergency Medicine Residency Training Programs: Associations With Founding Year, Teaching Status, Length, and Hospital Ownership. AEM Education And Training 2026, 10: e70144. PMID: 41798586, PMCID: PMC12964488, DOI: 10.1002/aet2.70144.Peer-Reviewed Original ResearchThis study investigates factors affecting emergency medicine board exam pass rates, showing newer programs and for-profit hospital affiliations are linked to lower success rates.
2025
Beyond Right and Wrong: The Diagnostic Calibration Matrix and Decision Latitude as a Tiered Framework for Evaluating Diagnostic Reasoning
Pavuluri S, Sangal R, Taylor R, Iscoe M, Venkatesh A, Sather J. Beyond Right and Wrong: The Diagnostic Calibration Matrix and Decision Latitude as a Tiered Framework for Evaluating Diagnostic Reasoning. Academic Emergency Medicine 2025, 33: e70193. PMID: 41225307, DOI: 10.1111/acem.70193.Peer-Reviewed Original ResearchAltmetric
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