ace(AI)lephant in the Room: Utility of Generative AI to Develop Discussion Guides for Cardiac Surgery Morbidity and Mortality Conferences
Objective: Morbidity & Mortality Conferences (M&Ms) are forums to assess adverse outcomes and to analyze their root causes. We sought to utilize a large language model (LLM) to generate discussion materials for cardiac surgery M&Ms, based upon data available in the electronic medical record (EMR). Design: EMR data, including information from notes, bloodwork, vital sign monitoring, and the medication administration record, were input into a private instance of GPT-5. A prompt was iterated to accomplish three tas…
A private GPT-5 instance produced case outlines, deviation tables and discussion questions for cardiac surgery M&Ms from EMR data, matching trainee outline length and earning high perceived clinical applicability.
The evaluation covered only fourteen cases and a survey of nine trainees at a single department, and preferences for operative and perioperative content were evenly split, so the findings are preliminary.
Evidence
- Peer-reviewedJournal of Surgical Education2026-10-13
How should this claim be treated?
Truvace Impact Record TRV-2026-1666, v1: “(AI)lephant in the Room: Utility of Generative AI to Develop Discussion Guides for Cardiac Surgery Morbidity and Mortality Conferences.” Truvace, 2026-10-17. /record/TRV-2026-1666 (accessed at citation time). sha256 463887b8245a48ff…
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