Artificial Intelligence & Healthcare: An Overview for the Curious - Love Data Week 2024
Class Experience Level
Beginner, Intermediate, Advanced

This class is no longer accepting registrations

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
Class Resources:

Class Recording

Class Details

Date(s): February 13, 2024
Time: 2:00 PM - 3:00 PM EST
Platform: Zoom
CE Credits: 1.00
CE Categories: MLA
Class Experience Level: Beginner, Intermediate, Advanced
This class is sponsored by Region 1.
Learn more about this class and find other upcoming instances:

Class Contacts

Host/Instructor: Christine Nieman
Technical Assistance: Katie Pierce Farrier

Can't join us live?

Register anyway and you'll receive the recording after the event.