Artificial Intelligence Readiness in Emergency Medicine: Expert Consensus Opinion for Preparing the Workforce

The rapid integration of artificial intelligence (AI) into emergency department workflows has outpaced clinician training, vendor evaluation infrastructure, and specialty-wide governance. Emergency physicians increasingly encounter AI tools spanning triage, imaging, clinical decision support, documentation, and operations, yet most lack the foundational skills to critically evaluate or safely oversee these products. Without a unified framework, departments struggle to distinguish safe tools from risky ones, and no national standard exists to guide education, vetting, or implementation. This expert consensus opinion, an official work product of the American College of Emergency Physicians (ACEP) AI Task Force formally endorsed by the ACEP Board of Directors in 2025, proposes 3 coordinated priorities to address these gaps. Educate: outlines a standardized AI education framework spanning residency training through continuing medical education, anchored in existing specialty-specific competencies. Evaluate: proposes an expert-derived, structured, clinician-led three-stage framework for vetting AI tools and industry partners prior to deployment. Advise: calls for the establishment of a national Emergency Medicine AI Advisory Council to issue shared terminology, best-practice guidance, and implementation toolkits across academic, community, and critical access settings. Together, these recommendations provide an adaptable, expert-derived foundation for ensuring that AI integration in emergency medicine is safe, equitable, and clinically effective.

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Publication Details

Journal
Journal of the American College of Emergency Physicians Open
Published
2026-09-11
DOI
https://doi.org/10.1016/j.acepjo.2026.100503
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial Intelligence Readiness in Emergency Medicine: Expert Consensus Opinion for Preparing the Workforce

Donald L. Lum, Neal Sikka, Rohit B. Sangal, Tayab Waseem et al.
Journal of the American College of Emergency Physicians Open
Artificial Intelligence in Healthcare and Education
article

Artificial Intelligence Readiness in Emergency Medicine: Expert Consensus Opinion for Preparing the Workforce

Donald L. Lum, Neal Sikka, Rohit B. Sangal, Tayab Waseem, John Dayton, Andrew Chu, Debadutta Dash, William C. Dalsey, Joyce Macalalad, Mark W. Baker
article en

Abstract

The rapid integration of artificial intelligence (AI) into emergency department workflows has outpaced clinician training, vendor evaluation infrastructure, and specialty-wide governance. Emergency physicians increasingly encounter AI tools spanning triage, imaging, clinical decision support, documentation, and operations, yet most lack the foundational skills to critically evaluate or safely oversee these products. Without a unified framework, departments struggle to distinguish safe tools from risky ones, and no national standard exists to guide education, vetting, or implementation. This expert consensus opinion, an official work product of the American College of Emergency Physicians (ACEP) AI Task Force formally endorsed by the ACEP Board of Directors in 2025, proposes 3 coordinated priorities to address these gaps. Educate: outlines a standardized AI education framework spanning residency training through continuing medical education, anchored in existing specialty-specific competencies. Evaluate: proposes an expert-derived, structured, clinician-led three-stage framework for vetting AI tools and industry partners prior to deployment. Advise: calls for the establishment of a national Emergency Medicine AI Advisory Council to issue shared terminology, best-practice guidance, and implementation toolkits across academic, community, and critical access settings. Together, these recommendations provide an adaptable, expert-derived foundation for ensuring that AI integration in emergency medicine is safe, equitable, and clinically effective.

Journal of the American College of Emergency Physicians OpenVol. 7(6)
University of Hawaiʻi at Mānoa (US), Carleton College (US), George Washington University (US), Yale University (US), Capital Health (US), Stanford University (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 14%
Artificial Intelligence in Healthcare and Education
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