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AI is widely utilized in healthcare. This presentation provides a friendly introduction to the topic for librarians, health professionals, and anyone with an interest in the topic. Attendees will come away informed about the field’s history, conversant with definitions of important concepts, an understanding of how AI can become biased (and what that means for patients), and familiar with some of the many ways that AI is currently being used in healthcare.
This session will be taught by Kimberley R. Barker, MLIS, the Librarian for Belonging & Community Engagement at the University of Virginia’s Claude Moore Health Sciences Library. Kimberley has over 24 years’ experience in the field and has held a variety of positions in different areas of librarianship, including public, academic, and independent schools. She has specialized in several areas including outreach, marketing, emerging technology, teaching, and equity & justice. A graduate of both Furman University (B.A.) and the University of South Carolina (MLIS), Barker is past-Chair of both the Medical Library Association’s Technology Advisory Committee, and the Technology Program Advisory Committee for the National Network of Libraries of Medicine (NNLM Region 1).
This presentation addresses health information resources and data, and meets the NLM/NIH strategic plan goal of accelerating data-driven discovery and advancing human health by building a data-ready workforce for the future.
By registering for this class, you are agreeing to the NNLM Code of Conduct.
- Define “Artificial Intelligence” and recognize the difference between AI and machine learning
- Discuss barriers to AI and current healthcare applications for AI