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Navigating the Risks of AI in Health Equity, Informatics, and Public Health Systems
Monday, March 3, 2025 1:15 PM to 2:00 PM · 45 min. (US/Pacific)
Venetian | Level 5 | Palazzo M
Health Equity Forum
Health Equity
Information
This session is part of the Health Equity Preconference Forum and additional registration is required.
This session explores the evolving role of Artificial Intelligence (AI) in healthcare, with a focus on its impact on health equity, research informatics, data integration, and emerging technologies. Attendees will learn about the potential risks AI poses to marginalized populations, as well as the challenges of developing, implementing, and evaluating information systems that support public health practice and research. Key topics will include ethical considerations, biases in AI algorithms, and the integration of diverse data sources to ensure equitable outcomes in public health initiatives.
CEU Type
ACPECAHIMSCMECNECPDHTSCPHIMSPMI/PDU
Learning Objective #1
Understand the potential risks and ethical challenges of AI in healthcare, particularly regarding its impact on health equity.
Learning Objective #2
Explore the role of research informatics and data integration in overcoming barriers to effective healthcare delivery and public health research.
Learning Objective #3
Identify strategies for the development, implementation, and evaluation of information systems that support equitable public health practices and research.