BIDMC Fellowship in Emergency Medicine
Artificial Intelligence

Training emergency physicians to use AI to transform emergency systems and emergency departments. Smarter decisions, faster care, better outcomes.

Fellowship Director & Contact

‍ Adrian Haimovich, MD, PhD
One Deaconess Road
Rosenberg Building, 2nd floor
Boston, MA 02215

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Description‍ ‍

The goal of the fellowship is to provide emergency medicine clinicians with the key competencies needed to effectively understand, evaluate, and implement AI systems.
Fellows will leave with the skills and knowledge needed to lead an AI implementation effort or continue to develop valuable AI research projects within the field of emergency medicine.

Throughout the fellowship, the BIDMC Division of AI and the fellow will develop an AI-related research project. Fellows will also ‍learn to evaluate, govern, and deploy AI tools in the emergency department — with mentorship from emergency physicians actively building AI systems at BIDMC and Harvard Medical School.

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Curriculum Highlights‍ ‍

Graduating Fellows should be able to:

  1. ‍ Critically evaluate AI systems used in acute care

  2. ‍ Build and validate clinical AI workflows

  3. ‍ Lead AI-assisted quality assurance systems and educational systems within their home departments 4. Conduct AI-focused EM research

  4. ‍ Safely integrate generative AI into emergency department operations

  5. ‍ Collaborate effectively on AI-related EM-improvement projects with data scientists, informaticians, and health systems leadership

  6. ‍ Understand regulatory, ethical, and legal implications of AI in medicine

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Didactics - Core Curriculum

The fellowship curriculum for each fellow will be customized based on learning goals and capstone project. Programs will include some or all of the following:

  1. ‍ Foundations of artificial intelligence in medicine

  2. Data science and clinical informatics

  3. Machine learning for emergency medicine

  4. Generative AI and large language models and clinical applications

  5. AI applications in emergency department operations

  6. AI for diagnostic and clinical decision support

  7. Governance, ethics, safety, and regulation

  8. Research methods and evaluation science

  9. Research skills (IRB submission, grant writing, scientific manuscript writing)

  10. Education and leadership

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How To Apply

‍ Application Requirements

  • Graduate from LCME-accredited medical institution

  • Completion of an emergency medicine residency in a 3- or 4-year program

  • Must be in good standing in current training

  • Board certified or board eligible in emergency medicine

  • Strong interest in clinical AI

Application Timeline

  • July – August: Submission of cover letter, CV, and two letters of recommendation (one must be from program director)

  • October: Interview

  • November 30: Notification of acceptance

Submission of Application Materials

‍ Please send all inquiries and applications to: EDFellowship@bidmc.harvard.edu

Fellowship Faculty

Please view faculty here.