Original title: Artificial Intelligence Readiness in Emergency Medicine: Expert Consensus Opinion for Preparing the Workforce
Debadutta Dash, Joyce Macalalad, Donald L Lum, Mark W Baker +6 · September 2026
Artificial intelligence tools now help emergency room doctors sort patients, review medical scans, write notes, and manage hospital operations. However, this technology has spread faster than doctor training, safety checks, or national rules. Because of this gap, most emergency doctors lack the skills to safely judge these tools, making it hard to spot risky software. To fix this, an expert task force created a plan built around 3 coordinated priorities. First, under Educate, they designed a standard training plan that teaches doctors about these technologies from medical residency through continuing education. Second, under Evaluate, they made a three-stage system for clinicians to test tools and vendors before hospitals use them. Third, under Advise, they recommended creating a national council to supply shared terms, practical toolkits, and guidance to keep patient care safe and effective.
Imagine a hospital where brand-new medical machines arrive every week. Nurses have never seen them, and no one knows if they work properly. The hospital has no rulebook for testing the machines or training staff. In this paper, the experts propose a plan: first, teach everyone how to use and judge the machines; second, create a checklist to test each machine before it touches patients; third, form a national committee to write rules that every hospital can follow.
Emergency physicians increasingly encounter AI tools for triage, imaging, and documentation, yet lack training to judge safety. Without a national standard, hospitals cannot distinguish safe tools from risky ones. This expert consensus provides a coordinated framework for education, evaluation, and national oversight to keep AI integration safe and equitable.
The abstract presents expert opinion, not empirical data on the effectiveness of the recommendations. It does not test the proposed education, evaluation, or governance frameworks in practice. The real-world impact remains unmeasured, and implementation challenges across different settings are not analyzed.
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Artificial Intelligence Readiness in Emergency Medicine: Expert Consensus Opinion for Preparing the Workforce — Debadutta Dash, Joyce Macalalad, Donald L Lum et al. — Journal of the American College of Emergency Physicians open — doi:10.1016/j.acepjo.2026.100503
Abstract licence: CC BY
Explanation generated by Synthesis from the abstract — it is not the original paper.