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Jump to All Downloads & LinksThis fact sheet provides an overview of the significant advancements and challenges of integrating AI into health care, focusing on its potential to transform the sector. It explores how AI might improve quality of care, reduce barriers to access, and advance health equity in health care systems like Medi-Cal by exploring possible use cases in four key areas: back-office operations, clinical support, population health, and health workforce solutions.
AI carries risk and has been known to perpetuate bias and inequity, especially when algorithms have interpreted biased or unrepresentative data. Other risks include data breaches, employment cuts, and inequitable access to AI’s proposed benefits. The fact sheet outlines concerns that should be considered carefully, including data privacy, informed consent, algorithm bias, responsible oversight, and equitable access, as the health care safety net increasingly adopts AI tools and solutions.
Authors & Contributors
Robin Buller
Robin Buller is an Oakland-based writer, researcher, and editor. She has reported on harm reduction, maternal health, migration, housing, and policing for The Guardian, The Oaklandside, and other publications.
Originally from Canada, she holds a doctorate in history from UNC Chapel Hill and has lived in California since 2018.
