The class will begin with an introduction to AI as used in clinical spaces, such as OpenEvidence or Doximity. Comparisons between popular AI tools (such as ChatGPT, Elicit, etc.) and clinical AI tools will help articulate the difference between tools optimized for clinical use and tools for the general population. There will be conversations surrounding ethical and nonethical usage of AI in clinical spaces, how and when to incorporate health information professionals into their workflow, and demonstrating the collaborative benefits of health information professionals in the clinic. The class will have a chance to practice with some AI tools, therefore laptops are required.
Course URL: Pending
Learning Outcomes
By the end of this session, participants will be able to:
- Participants will be able to identify different types of AI platforms in order to prioritize content to instruct clinicians.
- Participants will be able to discern ethical and nonethical uses of AI in clinical spaces in order to provide clinicians with guidance surrounding its usage.
- Participants will be able to articulate librarian expertise in AI use in order to successfully implement librarian interventions in patron AI experiences.
- Participants will practice using AI prompts to demonstrate when collaboration with health information professionals would be beneficial.
Agenda
- 15m: What is AI/GenAI
- 45m: Platforms in Clinical Use
- 15m: How librarians fit in the GenAI landscape
- 15m: How to talk to clinicians about GenAI
- 30m: Tips and Tricks for Clinical Librarians
MLA CE Credits: 2