Using generative AI is like having a discussion with a colleague or advisor. To be effective, you need to provide your context, the topic about which you are curious, and the ideal format for the response. This page provides resources for clinician educators. It contains background information about AI as well as resources from a variety of medical education sources.
Getting Started with teaching and learning with GenAI (OSU page)
Developing Clinical Reasoning and Autonomy (right after John asked the question about senior resident challenges)
Resources
- Lie M, Rodman A, Crowe B. Harnessing Generative Artificial Intelligence for Medical Education. Acad Med. 2025;100(1):116. DOI: https://doi.org/10.1097/ACM.0000000000005760
- Rodman, Adam MD, MPH; Mark, Nicholas M. MD; Artino, Anthony R. Jr PhD; Lessing, Juan N. MD. Using Generative Artificial Intelligence in Medical Education. Academic Medicine 100(2):p 250, February 2025. | DOI: https://doi.org/10.1097/ACM.0000000000005937
- Teaching with AI: A Practical Guide to a New Era of Human Learning. Baltimore: Johns Hopkins University Press, 2024. https://dx.doi.org/10.56021/9781421449227.
- Artificial Intelligence and Academic Medicine | AAMC
- International Advisory Committee for Artificial Intelligence | MedBiquitous
- Love AS, Niu C, Labay-Marquez J. Artificial Intelligence in Public Health Education: Navigating Ethical Challenges and Empowering the Next Generation of Professionals. Health Promotion Practice. 2025;0(0). doi:10.1177/15248399251320989
Prompting
- TRACI (opens in new window)
- is one kind of prompting framework that is useful for engineering prompts of Generative AI. The letters refer to various components of a prompt:
- T-Task: Task refers to the type of output the prompt should achieve. For example a rubric, learning goals or a syllabus statement.
- R-Role: Role refers to the persona generative AI should take on when responding. For example, an expert educator, a student advisor and instructional designer
- A-Audience: Audience refers to the group to whom the response is written. For example, introductory biology students, graduate-level competitive study majors, doctor of pharmacy students.
- C-Create: Create refers to the format of the output. For example, 200 words, a three-column table or an acrostic poem.
- I-Intent: Intent communicates the purpose of the response. For example, to promote a growth mindset or clearly communicate expectations.
- Considering the TRACI model will improve initial prompts and provide guidance as prompts are revised.
News
- Student Guide to AI Literacy | MLA Style Center
- AI competency framework for students | UNESCO
- International Advisory Committee for Artificial Intelligence | MedBiquitous
- AI in medical education: 5 ways schools are employing new tools | AAMC
- Manus
Substacks
- Ethan Mollick – One Useful Thing
- Philippa Hardman – Dr Phils Newsletter Powered by DOMS AI
- Karim Hanna – AI+ MedEd