Publications

Questions become
a body of work.

Explore our publications and presentations on clinical work, artificial intelligence, and medical education.

Publications

  1. 2026

    Rose C, Molins E, Schoeffler A, Kabeer R, Frank MR, Preiksaitis C. Will Artificial Intelligence Replace Me? Automation Susceptibility of Emergency Physician Tasks. Annals of Emergency Medicine. 2026.

  2. 2026

    Preiksaitis C, Alvarez A, Winkel M, Karamatsu M, Brown I, Sama N, Morris L, Lee J, Gubbels A, Wahl E, Frye A, Rose C. Ambient Artificial Intelligence Scribe Adoption and Documentation Time in the Emergency Department. Annals of Emergency Medicine. 2026.

  3. 2026

    Preiksaitis C, Alvarez A, Winkel M, Karamatsu M, Brown I, Sama N, Morris L, Lee JY, Gubbels A, Wahl E, Frye A, Schoeffler A, Gharahbaghian L, Rose C. Ambient AI Scribes and Emergency Department Documentation Burden: Retrospective Cohort Study. JMIR AI. 2026;5:e92193.

  4. 2026

    Preiksaitis C, Nord G, Davis J, Sangal R, Mackey C, Oh L, Rose C. SCALES-AI: A Supervision- and Context-Aligned Entrustment Framework for Integrating Artificial Intelligence Into Emergency Medicine Education. AEM Education and Training. 2026;10(3):e70195.

  5. 2026

    Rose C, Preiksaitis C. What Do We Mean When We Say “AI”? Why Context—not Volume—Should Guide Emergency Medicine. JACEP Open. 2026;7(1):100309. Published online December 26, 2025.

  6. 2026

    Preiksaitis C, Rose C. Opinion: The Greatest Fantasy in “The Pitt” Isn’t the Miracles, It’s Eye Contact. ACEP Now. Published online April 7, 2026.

  7. 2026

    Schoeffler A, Rose C, Preiksaitis C. Can Ambient AI Handle Emergency Medicine? Emergency Medicine News. Published online May 1, 2026.

  8. 2025

    Preiksaitis C, Hughes J, Kabeer R, Dixon W, Rose C. Quantifying Emergency Medicine Residency Learning Curves Using Natural Language Processing: Retrospective Cohort Study. JMIR Medical Education. 2025;11:e82326.

  9. 2025

    Rose C, Kabeer R, Bunney G, Preiksaitis C. Cultivating Health Care Innovation: Beyond the Disruption Paradigm. NEJM Catalyst Innovations in Care Delivery. 2025;6(10).

  10. 2024

    Preiksaitis C, Ashenburg N, Bunney G, Chu A, Kabeer R, Riley F, Ribeira R, Rose C. The Role of Large Language Models in Transforming Emergency Medicine: Scoping Review. JMIR Medical Informatics. 2024;12:e53787.

  11. 2024

    Preiksaitis C, Rose C. Diagnostic Dilemma: ChatGPT Can’t Tell You What You Don’t Already Know. Annals of Emergency Medicine. 2024;83(3):286–287.

  12. 2024

    Rose C, Preiksaitis C. AI Passed the Test, but Can It Make the Rounds? AEM Education and Training. 2024;8(6):e11044.

  13. 2023

    Preiksaitis C, Rose C. Opportunities, Challenges, and Future Directions of Generative Artificial Intelligence in Medical Education: Scoping Review. JMIR Medical Education. 2023;9:e48785.

  14. 2023

    Rose C, Barber R, Preiksaitis C, Kim I, Mishra N, Kayser K, Brown I, Gisondi M. A Conference (Missingness in Action) to Address Missingness in Data and AI in Health Care: Qualitative Thematic Analysis. Journal of Medical Internet Research. 2023;25:e49314.

  15. 2023

    Preiksaitis C, Sinsky CA, Rose C. ChatGPT is not the solution to physicians’ documentation burden. Nature Medicine. 2023;29(6):1296–1297.

  16. 2023

    Rose C, Preiksaitis C. Ghost in the inbox: AI may help alleviate the burden of patient messages. Evidence-Based Nursing. Published online 2023. doi:10.1136/ebnurs-2023-103770.

  17. Accepted

    Preiksaitis C, Hughes J, Iscoe M, Makutonin M, Rider A, Melnick ER, Rose C. Running to Stand Still: EHR Efficiency and Workload Across Emergency Medicine Residency. AEM Education and Training. Accepted.

Preprints

Preprints have not completed peer review.

  1. 2026Preprint

    Peng D, Wang Y, Preiksaitis C, Rose C. SycoEval-EM: Sycophancy Evaluation of Large Language Models in Simulated Clinical Encounters for Emergency Care. arXiv [preprint]. January 23, 2026. arXiv:2601.16529.

  2. 2025Preprint

    Kim DA, Preiksaitis C, Rose C. Feasibility of Real-Time Cognitive Load Assessment Using Electronic Health Record Data and Wearable Sensors in Emergency Medicine: A Pilot Study. medRxiv [preprint]. June 3, 2025.

Published abstracts

  1. 2025Published abstract

    Hughes J, Preiksaitis C, Kabeer R, Rose C. A Natural Experiment Comparing Three-Year and Four-Year Training Models. Annals of Emergency Medicine. 2025;86(3):S55–56.

  2. 2025Published abstract

    Molins E, Rose C, Preiksaitis C. The Future of Work in Emergency Medicine: Susceptibility of Physician Tasks to AI Automation. Annals of Emergency Medicine. 2025;86(3):S90.

  3. 2023Published abstract

    Ashenburg N, Preiksaitis C, Dayton J, Ribera R, Bunney G, Kabeer R, Riley F, Chu A, Rose C. 312 When AI Meets the Emergency Department: Realizing the Benefits of Large Language Models in Emergency Medicine. Annals of Emergency Medicine. 2023;82(4):S136.

Presentations

  1. 2026Presentation

    Schoeffler A, Preiksaitis C, Rose C, Brown IP. When AI meets the emergency department: rethinking how we evaluate clinical AI. Oral abstract, Redefining Healthcare in the Age of AI, a Nature Conference; September 2026; Paris, France.

  2. 2026Presentation

    Winkel M, Preiksaitis C, Alvarez A, Karamatsu M, Brown I, Sama N, Morris L, Lee JY, Gubbels A, Wahl E, Frye A, Gharahbagian L, Rose C. All Charts and No Play Makes Us a Dull Bunch. Oral abstract, SAEM Annual Meeting; May 2026; Atlanta, GA.

  3. 2026Presentation

    Hughes J, Preiksaitis C. Increasing Efficiency, Persistent Burden: Longitudinal Analysis of EHR Use and After-Hours Work in Emergency Medicine Residency. Oral abstract, SAEM Annual Meeting; May 2026; Atlanta, GA.

  4. 2025Presentation

    Hughes J, Preiksaitis C, Kabeer R, Rose C. Residency Learning Curves: Quantifying Clinical Case Exposure Patterns in Emergency Medicine Training. Oral abstract, SAEM Annual Meeting; May 2025; Philadelphia, PA.

  5. 2025Presentation

    Hughes J, Preiksaitis C, Kabeer R, Rose C. A Natural Experiment Comparing Three-Year and Four-Year Training Models. Plenary presentation, ACEP Scientific Assembly; October 2025; Salt Lake City, UT.

  6. 2025Presentation

    Molins E, Rose C, Preiksaitis C. The Future of Work in Emergency Medicine: Susceptibility of Physician Tasks to AI Automation. Oral abstract, ACEP Scientific Assembly; October 2025; Salt Lake City, UT.

  7. 2025Presentation

    Wang Y, Peng D, Preiksaitis C, Rose C. Large Language Model Sycophancy in Simulated Clinical Encounters. Poster, AMIA Annual Symposium; November 2025; Atlanta, GA.

  8. 2025Presentation

    Nakhasi A, Garcia A, Preiksaitis C, Rodriguez-Ormaza N, Rose C. Decoding STEMI Team Performance: EHR Audit Log Insights. Oral abstract, AMIA Annual Symposium; November 2025; Atlanta, GA.

  9. 2024Presentation

    Preiksaitis C, Ashenburg N, Bunney G, Chu AL, Kabeer R, Ribeira R, Rose C. From Triage to Treatment: Scoping the Role of Large Language Models in Transforming Emergency Medicine. Oral abstract, SAEM Annual Meeting; May 2024; Phoenix, AZ.