{"id":7663,"date":"2026-04-10T10:28:25","date_gmt":"2026-04-10T10:28:25","guid":{"rendered":"https:\/\/www.healthoptibody.com\/?p=7663"},"modified":"2026-04-13T05:28:55","modified_gmt":"2026-04-13T05:28:55","slug":"watch-as-ai-makes-more-health-coverage-decisions-the-risks-to-patients-grow","status":"publish","type":"post","link":"https:\/\/www.healthoptibody.com\/?p=7663","title":{"rendered":"Watch: As AI Makes More Health Coverage Decisions, the Risks to Patients Grow"},"content":{"rendered":"\n<div id=\"republish-content\"><span class=\"byline\">Darius Tahir and Hannah Norman, KFF Health News<\/span>&nbsp;<\/p>\n<p>This year, executives from nearly every major health insurance company made the same declaration in calls with Wall Street analysts: Using artificial intelligence to make coverage decisions would help save them money.<\/p>\n<p>Even the Trump administration is testing AI\u2019s usefulness in managing the prior authorization process for the Medicare program, as well as seeking to override AI regulation by states.<\/p>\n<p>But class action lawsuits have accused insurers of using AI to wrongfully withhold treatment. And new research from Stanford University outlines the risks of training AI on a current system rife with wrongful denials.<\/p>\n<p>\u201cThere is a world in which using AI could make that worse, or at least replicate a bad human system, because the data that it would be training on is from that bad human system,\u201d said Michelle Mello, a co-author of the study.<\/p>\n<p>Although, Mello said, the research team found \u201creal positives alongside the risks.\u201d<\/p>\n<p>In this video produced by KFF Health News\u2019 Hannah Norman, Darius Tahir, a correspondent covering health technology, explains.<\/p>\n<p>You can read Tahir\u2019s recent coverage of AI\u2019s use by health insurers below:<\/p>\n<p>KFF Health News is a national newsroom that produces in-depth journalism about health issues and is one of the core operating programs at KFF\u2014an independent source of health policy research, polling, and journalism. Learn more about KFF.<\/p>\n<h3>USE OUR CONTENT<\/h3>\n<p>This story can be republished for free (details).<\/p>\n<\/div>\n<div>\n<p>We encourage organizations to republish our content, free of charge. Here\u2019s what we ask:<\/p>\n<p>You must credit us as the original publisher, with a hyperlink to our kffhealthnews.org site. If possible, please include the original author(s) and KFF Health News\u201d in the byline. Please preserve the hyperlinks in the story.<\/p>\n<p>It\u2019s important to note, not everything on kffhealthnews.org is available for republishing. If a story is labeled \u201cAll Rights Reserved,\u201d we cannot grant permission to republish that item.<\/p>\n<p>Have questions? Let us know at KHNHelp@kff.org<\/p>\n<\/div>\n<p><br \/>\n#Watch #Health #Coverage #Decisions #Risks #Patients #Grow<br \/>\nWatch: As AI Makes More Health Coverage Decisions, the Risks to Patients Grow<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Darius Tahir and Hannah Norman, KFF Health News&nbsp; This year, executives from nearly every major health insurance company made the same declaration in calls with Wall Street analysts: Using artificial intelligence to make coverage decisions would help save them money. Even the Trump administration is testing AI\u2019s usefulness in managing the prior authorization process for<\/p>\n","protected":false},"author":1,"featured_media":7664,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_bunyad_sub_title":"Finding the Positive: Can AI Ever Be Truly Fair in Healthcare?","footnotes":""},"categories":[4],"tags":[1617,2222,2225,2219,2226,1518,2221,2224,2220,2223],"class_list":["post-7663","post","type-post","status-publish","format-standard","has-post-thumbnail","category-healthy","tag-ai-in-healthcare","tag-algorithmic-bias","tag-class-action-lawsuits","tag-health-insurance-risks","tag-health-tech-policy","tag-medical-ethics","tag-medicare-2026","tag-patient-rights","tag-prior-authorization","tag-stanford-research"],"_links":{"self":[{"href":"https:\/\/www.healthoptibody.com\/index.php?rest_route=\/wp\/v2\/posts\/7663","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.healthoptibody.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.healthoptibody.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.healthoptibody.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.healthoptibody.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=7663"}],"version-history":[{"count":1,"href":"https:\/\/www.healthoptibody.com\/index.php?rest_route=\/wp\/v2\/posts\/7663\/revisions"}],"predecessor-version":[{"id":7780,"href":"https:\/\/www.healthoptibody.com\/index.php?rest_route=\/wp\/v2\/posts\/7663\/revisions\/7780"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.healthoptibody.com\/index.php?rest_route=\/wp\/v2\/media\/7664"}],"wp:attachment":[{"href":"https:\/\/www.healthoptibody.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=7663"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.healthoptibody.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=7663"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.healthoptibody.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=7663"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}