Prompt Development 101 for Medical Educators: Crafting Effecting GenAI Prompts
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Abstract
Introduction/Background
As the effects of Generative AI (GenAI) reverberate throughout higher education, interactive learning and technological skill development are necessary. Prompt engineering is the practice of crafting specific instructions, called "prompts", to guide artificial intelligence models, particularly large language models (LLMs), to generate desired outputs through iteratively utilizing learned techniques. Prompt engineering has emerged as a critical competency for effectively leveraging artificial intelligence tools in medical education and professionalization contexts.
Study objectives/hypothesis
This workshop aims to provide learners with best practices for prompting by incorporating hands-on practice. The goal is to move users beyond the “playing around” stage of GenAI and allow them to incorporate this powerful tool into their work.
The workshop objectives are to:
Introduce fundamental prompt engineering concepts and summarize best practices
Apply these skills in an interactive workshop and critically analyze prompting strategies
Explore security considerations in GenAI applications relating to medical education
Methods
A structured, hands-on workshop will be conducted with the following approach:
Instructor-led introduction of prompting concepts
Guided prompt implementation on personal computing devices
Collective result sharing and discussion
Resource sharing on institutional security guidance
Results
Attendees can expect to walk away with:
Increased understanding of prompt engineering principles
Experience with iterating and critically evaluating AI-generated responses
New applications for GenAI in participant workflow
Enhanced awareness of potential data ethics and security considerations in GenAI use