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KFF designs, conducts and analyzes original public opinion and survey research on Americans’ attitudes, knowledge, and experiences with the health care system to help amplify the public’s voice in major national debates.
KFF Health News is a national newsroom that produces in-depth journalism about health issues and is one of the organization’s core operating programs.
KFF’s recently released Tracking Poll finds that public confidence in the safety of COVID-19 vaccines for use during pregnancy has fallen, and many are uncertain about a false claim linking the vaccines with higher risk of miscarriage. Separately, conversations about childhood vaccines frame vaccination as an individual parental decision.
Drawing on KFF's poll findings, this interactive dashboard tracks the public’s trusted sources for health information, attitudes toward vaccines, and use of news, social media, and AI for health-related information. It provides visual representations of the key trends in the public’s trust in health information and tracks exposure to and belief in false and unproven health claims.
Walk into the emergency room at Israel’s largest hospital and the first clinician to take your history may be an AI avatar — with a physician signing off on every recommendation. Israel’s Sheba Medical Center is building what could become the first fully AI-based hospital by 2030. Dr. Eyal Zimlichman, Sheba's Chief Transformation Officer, Chief Innovation Officer and Chief AI officer, talks with Chip about what that means for patients. During their conversation, Dr. Zimlichman…
Health care's AI future is being built right now. The open question is “for whom?” Dr. Uché Blackstock — emergency physician, former associate professor at NYU School of Medicine, founder and CEO of Advancing Health Equity, and author of The New York Times bestseller “Legacy: A Black Physician Reckons with Racism in Medicine” — joins host Chip Kahn to argue that AI governance should be shaped not only by regulators and review boards, but by…
Federal health agencies are testing AI applications that move into patient care typically handled by physicians. And recent research suggests people may place more trust in conversational AI, while false claims attributed to authoritative sources can increase willingness to share them.
When health systems are stressed, Martin McKee has been there taking notes. He's spent four decades studying collapse and recovery — the post-Soviet transition, the 2008 financial crisis, the COVID-19 pandemic. Now, as professor of European public health at the London School of Hygiene and Tropical Medicine and research director of the European Observatory on Health Systems and Policies, he's turned that lens on AI. He arrives at a charged moment: America is locked in…
The federal government continues to focus on addressing fraud, waste, and abuse in Medicaid, with much of the attention focused on home care services. This issue brief provides new information about Medicaid home care programs’ use of program integrity tools, based on findings from KFF’s 50-state survey of Medicaid home care program officials.
In another concerning example of AI agents going rogue recently, an OpenAI agent hacked into an Australian government website containing health care data. While some industry CEOs are calling for a slowdown and demands for regulation grow, host Chip Kahn focuses on the implications for health care when these same kinds of AI systems are already at work in hospitals — in billing, in scheduling, and increasingly in decisions about patients.
Many reproductive-age women seek health information through online sources, where they may encounter false or misleading information about contraception, according to the 2026 KFF Women’s Health Survey. And an Ohio health department’s new AI policy offers a rare example of a health-specific policy addressing accuracy and public trust.
Across the tech industry, many of AI's own leaders are calling for oversight — self-imposed or from government. That debate is on, but where it will land is anyone's guess. Joe Grogan takes a different tack: the biggest threat in health care AI may not be too little regulation, but the wrong kind.
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