David Chartash, PhD, FAMIA
Lecturer in Emergency MedicineDownloadHi-Res Photo
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Titles
Lecturer in Emergency Medicine
Biography
Dr. Chartash's interests are in understanding the adage in medicine that,
The history is the foundation of diagnosis, management and rapport with the patient, and that diagnosis is based on, first, a focused and meticulous history, followed by a focused and confirmatory physical examination and ending with a parsimonious ancillary investigation. — Crombie, D. L. "General Practice Today and Tomorrow. X. Diagnostic Methods." The Practitioner 191 (1963): 539-545.
Methodologically, his research aims to model information within the medical record and clinical encounter through the use of cognitive science, computational linguistic and complex systems science approaches.
Dr. Chartash earned his bachelor's degree in engineering science from The University of Western Ontario in electrical engineering, focusing on biomedical signals and systems analysis. He completed a masters degree in health science by research at the University of Toronto in clinical engineering, during the course of this degree, practicing as an engineer at the Toronto Health Economics and Technology Assessment Collaborative and Toronto General Hospital. He holds a doctorate in philosophy from Indiana University Bloomington, specializing in medical informatics and complex systems. During the course of this doctorate he was a fellow at the Center for Biomedical Informatics at the Regenstrief Institute, as well as the Department of Pediatrics at the Indiana University School of Medicine.
Last Updated on April 18, 2025.
Appointments
Emergency Medicine
LecturerPrimary
Other Departments & Organizations
- Emergency Medicine
- Health Services & Implementation
- Melnick Informatics Lab
- MHS-CIDS Program Leadership
- Real-world Evidence in Acute Care Lab
- Yale School of Public Health
- Yan House Affiliates
Education & Training
- PhD
- Indiana University Bloomington, Medical Informatics and Complex Systems
- MHS
- University of Toronto, Clinical Engineering
- BEngSci
- The University of Western Ontario, Electrical Engineering
Research
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Overview
Medical Research Interests
Biomedical Engineering; Clinical Decision-Making; Decision Making; Decision Support Systems, Clinical; Decision Theory; Diagnosis, Computer-Assisted; Diagnosis, Differential; Diagnostic Errors; Folklore; General Practice; History of Medicine; Information Theory; Medical Informatics; Medical Writing; Narrative Medicine; Pediatrics; Semantics; Systems Integration
Public Health Interests
Health Care Quality, Efficiency; Health Care Management; Occupational Health; Bayesian Statistics; Child/Adolescent Health
Research at a Glance
Yale Co-Authors
Frequent collaborators of David Chartash's published research.
Publications Timeline
A big-picture view of David Chartash's research output by year.
Research Interests
Research topics David Chartash is interested in exploring.
Andrew Taylor, MD, MHS
Vimig Socrates, MS
Donald Wright, MD, MHS
Anne Elizabeth Sidamon-Eristoff
Gail D'Onofrio, MD, MS
Rohit Sangal, MD, MBA, FACEP
41Publications
2,852Citations
Decision Support Systems, Clinical
Clinical Decision-Making
Medical Informatics
Publications
2026
Ambient AI Scribes to Create Educational Feedback Notes for Medical Students: Randomized Trial
Talwalkar J, Chartash D, Zhang L, Makutonin M, Safranek C, Sidamon-Eristoff A, Schwamm L, Wright D. Ambient AI Scribes to Create Educational Feedback Notes for Medical Students: Randomized Trial. JMIR Medical Education 2026, 12: e89996. PMID: 42208058, PMCID: PMC13218648, DOI: 10.2196/89996.Peer-Reviewed Original ResearchCitationsAltmetricAmbient AI Scribes to Create Educational Feedback Notes for Medical Students: A Randomized Trial.
Talwalkar JS, Chartash D, Zhang L, Makutonin M, Safranek CW, Sidamon-Eristoff AE, Schwamm LH, Wright DS. Ambient AI Scribes to Create Educational Feedback Notes for Medical Students: A Randomized Trial. JMIR Med Educ 2026 PMID: 42052923, DOI: 10.2196/89996.Peer-Reviewed Original ResearchThis study investigates how ambient AI scribes enhance written feedback quality for medical students, finding improved narrative detail without increasing instructor effort, despite usability challenges.Staffing Trends Amid Boarding Challenges: A Five‐Year Analysis (2019–2023)
Blenden M, Ghosh R, Chartash D, Tyransky A, Archual G, Brice J, Tanski M, Pavuluri S, Venkatesh A, Sangal R. Staffing Trends Amid Boarding Challenges: A Five‐Year Analysis (2019–2023). Academic Emergency Medicine 2026, 33: e70281. PMID: 41930739, DOI: 10.1111/acem.70281.Peer-Reviewed Original ResearchCitationsAltmetricFrom complexity to clarity: GPT-4 for patient-centered prostate cancer pathology reports
Fereydooni S, Homer R, Chartash D. From complexity to clarity: GPT-4 for patient-centered prostate cancer pathology reports. Patient Education And Counseling 2026, 149: 109597. PMID: 41905268, DOI: 10.1016/j.pec.2026.109597.Peer-Reviewed Original ResearchCitationsSimulated evaluation of large language model stepwise diagnostic reasoning with real-world chest pain encounters and Bayesian networks
Safranek C, Socrates V, Wright D, Huang T, Alashi A, McCann K, Taylor R, Chartash D. Simulated evaluation of large language model stepwise diagnostic reasoning with real-world chest pain encounters and Bayesian networks. BMC Medical Informatics And Decision Making 2026, 26: 97. PMID: 41735989, PMCID: PMC13037032, DOI: 10.1186/s12911-026-03381-9.Peer-Reviewed Original Research
2025
Can you really infer that? An exploratory study using the reasoning task typology to analyze clinic notes
Chartash D, Torti J, Stevens B, Ferguson I, Rosenman M, Brandt C, Goldszmidt M. Can you really infer that? An exploratory study using the reasoning task typology to analyze clinic notes. Advances In Health Sciences Education 2025, 1-26. PMID: 41385004, DOI: 10.1007/s10459-025-10493-w.Peer-Reviewed Original ResearchCitationsReporting guideline for Chatbot Health Advice studies: the CHART statement
Huo B, Collins G, Chartash D, Thirunavukarasu A, Flanagin A, Iorio A, Cacciamani G, Chen X, Liu N, Mathur P, Chan A, Laine C, Pacella D, Berkwits M, Antoniou S, Camaradou J, Canfield C, Mittelman M, Feeney T, Loder E, Agha R, Saha A, Mayol J, Sunjaya A, Harvey H, Ng J, McKechnie T, Lee Y, Verma N, Stiglic G, McCradden M, Ramji K, Boudreau V, Ortenzi M, Meerpohl J, Vandvik P, Agoritsas T, Samuel D, Frankish H, Anderson M, Yao X, Loeb S, Lokker C, Liu X, Guallar E, Guyatt G. Reporting guideline for Chatbot Health Advice studies: the CHART statement. BMC Medicine 2025, 23: 447. PMID: 40745595, PMCID: PMC12315282, DOI: 10.1186/s12916-025-04274-w.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsCitationsAltmetricReporting Guideline for Chatbot Health Advice Studies
Collaborative T, Huo B, Collins G, Chartash D, Thirunavukarasu A, Flanagin A, Iorio A, Cacciamani G, Chen X, Liu N, Mathur P, Chan A, Laine C, Pacella D, Berkwits M, Antoniou S, Camaradou J, Canfield C, Mittelman M, Feeney T, Loder E, Agha R, Saha A, Mayol J, Sunjaya A, Harvey H, Ng J, McKechnie T, Lee Y, Verma N, Stiglic G, McCradden M, Ramji K, Boudreau V, Ortenzi M, Meerpohl J, Vandvik P, Agoritsas T, Samuel D, Frankish H, Anderson M, Yao X, Loeb S, Lokker C, Liu X, Guallar E, Guyatt G. Reporting Guideline for Chatbot Health Advice Studies. JAMA Network Open 2025, 8: e2530220. PMID: 40747871, DOI: 10.1001/jamanetworkopen.2025.30220.Peer-Reviewed Original ResearchCitationsAltmetricReporting guideline for chatbot health advice studies: The CHART statement
Collaborative T, Huo B, Collins G, Chartash D, Thirunavukarasu A, Flanagin A, Iorio A, Cacciamani G, Chen X, Liu N, Mathur P, Chan A, Laine C, Pacella D, Berkwits M, Antoniou S, Camaradou J, Canfield C, Mittelman M, Feeney T, Loder E, Agha R, Saha A, Mayol J, Sunjaya A, Harvey H, Ng J, McKechnie T, Lee Y, Verma N, Stiglic G, McCradden M, Ramji K, Boudreau V, Ortenzi M, Meerpohl J, Vandvik P, Agoritsas T, Samuel D, Frankish H, Anderson M, Yao X, Loeb S, Lokker C, Liu X, Guallar E, Guyatt G. Reporting guideline for chatbot health advice studies: The CHART statement. Artificial Intelligence In Medicine 2025, 168: 103222. PMID: 40753040, DOI: 10.1016/j.artmed.2025.103222.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsCitationsAltmetricHarnessing Large Language Models to Promote Attainment of ACGME Competencies in Child Psychiatry
Sidamon-Eristoff A, Safranek C, Martin A, Chartash D. Harnessing Large Language Models to Promote Attainment of ACGME Competencies in Child Psychiatry. JAACAP Connect 2025, 13: 10.62414/001c.141397. PMID: 41551878, PMCID: PMC12811034, DOI: 10.62414/001c.141397.Peer-Reviewed Original ResearchCitations
Academic Achievements & Community Involvement
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Honors
honor Membership
04/19/2025International AwardAcademy of Medical Educators of the United KingdomDetailsUnited Kingdom
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Mailing Address
Yale School of Medicine
100 College Street
New Haven, CT 06511
United States