{"id":89582,"date":"2026-04-27T09:10:25","date_gmt":"2026-04-27T09:10:25","guid":{"rendered":"https:\/\/imatsolutions.com\/?p=89582"},"modified":"2026-04-27T09:10:25","modified_gmt":"2026-04-27T09:10:25","slug":"health-data-news-roundup-half-of-ai-health-answers-wrong-onc-ad-behavioral-health-data-exchange-and-imat-signs-new-health-plan","status":"publish","type":"post","link":"https:\/\/imatsolutions.com\/index.php\/2026\/04\/health-data-news-roundup-half-of-ai-health-answers-wrong-onc-ad-behavioral-health-data-exchange-and-imat-signs-new-health-plan\/","title":{"rendered":"Health Data News Roundup: Half of AI Health Answers Wrong; ONC ad Behavioral Health Data Exchange; and IMAT Signs New Health Plan"},"content":{"rendered":"<p><em>Welcome to the Health Data Weekly News Roundup from IMAT Solutions. As the power of data continues to grow in the healthcare arena, today\u2019s care organizations need to be on the forefront of all news and trends to help ensure that their data analytics efforts deliver accountable and informed care. Each week, we will provide you with the actionable news you need to meet these goals.<\/em><\/p>\n<p><a href=\"https:\/\/theconversation.com\/half-of-ai-health-answers-are-wrong-even-though-they-sound-convincing-new-study-280512\" target=\"_blank\" rel=\"noopener\"><strong>New Study: Half of AI Health Answers Are Wrong Even Though They Sound Convincing<\/strong><\/a><br \/>\nA new study found that about half of AI-generated health answers are inaccurate or misleading, often delivered with high confidence, and researchers warn that these responses can be difficult for users to evaluate, increasing the risk of misinformation and poor decision making, <a href=\"https:\/\/theconversation.com\/half-of-ai-health-answers-are-wrong-even-though-they-sound-convincing-new-study-280512\" target=\"_blank\" rel=\"noopener\">according to The Conversation.<\/a><\/p>\n<p><a href=\"https:\/\/www.mckinsey.com\/industries\/healthcare\/our-insights\/generative-ai-in-healthcare-current-trends-and-future-outlook\" target=\"_blank\" rel=\"noopener\"><strong>Generative AI in Healthcare: Adoption Matures as Agentic AI Emerges<\/strong><\/a><br \/>\nWith half of US healthcare organizations are now implementing gen AI, the focus is turning to integration, ROI, and agentic AI to realize value across healthcare domains, <a href=\"https:\/\/www.mckinsey.com\/industries\/healthcare\/our-insights\/generative-ai-in-healthcare-current-trends-and-future-outlook\" target=\"_blank\" rel=\"noopener\">according to a recent McKinsey study.<\/a><\/p>\n<p><a href=\"https:\/\/news.gallup.com\/poll\/707789\/americans-turning-supplement-healthcare-visits.aspx\" target=\"_blank\" rel=\"noopener\"><strong>Americans Turning to AI to Supplement Healthcare Visits<\/strong><\/a><br \/>\nAs artificial intelligence becomes increasingly embedded in daily life, 25% of Americans have used an AI tool or chatbot for health information or advice, mainly as a supplemental tool for their care, <a href=\"https:\/\/news.gallup.com\/poll\/707789\/americans-turning-supplement-healthcare-visits.aspx\" target=\"_blank\" rel=\"noopener\">according to an new Gallup survey.<\/a><\/p>\n<p><a href=\"https:\/\/www.healthcareitnews.com\/news\/behavioral-health-data-exchange-challenges-impede-interoperability-says-onc\" target=\"_blank\" rel=\"noopener\"><strong>Behavioral Health Data Exchange Challenges Continue to Impede Interoperability, ONC Finds<\/strong><\/a><br \/>\nONC reports ongoing barriers to behavioral health data exchange, including technical gaps, privacy constraints, and limited resources. These challenges continue to limit interoperability and contribute to fragmented care across the healthcare system, <a href=\"https:\/\/www.healthcareitnews.com\/news\/behavioral-health-data-exchange-challenges-impede-interoperability-says-onc\" target=\"_blank\" rel=\"noopener\">according to Healthcare IT News.<\/a><\/p>\n<p><a href=\"https:\/\/www.unitedhealthgroup.com\/newsroom\/2026\/2026-04-20-uhc-eliminates-most-medical-prior-authorizations-accelerates-payments-for-key-rural-care-hospitals-providers.html\" target=\"_blank\" rel=\"noopener\"><strong>UnitedHealthcare Eliminates Prior Authorization for Rural Providers<\/strong><\/a><br \/>\nUnitedHealthcare is scrapping prior authorization requirements for rural healthcare providers in a move that will help lower costs and streamline processes, <a href=\"https:\/\/www.unitedhealthgroup.com\/newsroom\/2026\/2026-04-20-uhc-eliminates-most-medical-prior-authorizations-accelerates-payments-for-key-rural-care-hospitals-providers.html\" target=\"_blank\" rel=\"noopener\">the company said in a press release.<\/a><\/p>\n<p><a href=\"https:\/\/imatsolutions.com\/index.php\/news\/hedis-2030-data-readiness-health-plan\/\" target=\"_blank\" rel=\"noopener\"><strong>IMAT Solutions Signs New Regional Health Plan to Support HEDIS 2030 Data Readiness<\/strong><\/a><br \/>\nA regional health plan has selected IMAT Intelligence to prepare for HEDIS 2030 and the shift to fully digital quality reporting. By aggregating, normalizing, and validating clinical data, the organization will improve audit readiness, close data gaps earlier, and gain better visibility into quality performance, <a href=\"https:\/\/imatsolutions.com\/index.php\/news\/hedis-2030-data-readiness-health-plan\/\" target=\"_blank\" rel=\"noopener\">according to this press release.<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Welcome to the Health Data Weekly News Roundup from IMAT Solutions. As the power of data continues to grow in the healthcare arena, today\u2019s care organizations need to be on the forefront of all news and trends to help ensure that their data analytics efforts deliver accountable and informed care. Each week, we will provide you with the actionable news you need to meet these goals. New Study: Half of AI Health Answers Are Wrong&#8230;<\/p>\n","protected":false},"author":12,"featured_media":89588,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[265],"tags":[494,490,493,284,274,330,356,316,341,495,406,484,302],"acf":[],"_links":{"self":[{"href":"https:\/\/imatsolutions.com\/index.php\/wp-json\/wp\/v2\/posts\/89582"}],"collection":[{"href":"https:\/\/imatsolutions.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/imatsolutions.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/imatsolutions.com\/index.php\/wp-json\/wp\/v2\/users\/12"}],"replies":[{"embeddable":true,"href":"https:\/\/imatsolutions.com\/index.php\/wp-json\/wp\/v2\/comments?post=89582"}],"version-history":[{"count":5,"href":"https:\/\/imatsolutions.com\/index.php\/wp-json\/wp\/v2\/posts\/89582\/revisions"}],"predecessor-version":[{"id":89587,"href":"https:\/\/imatsolutions.com\/index.php\/wp-json\/wp\/v2\/posts\/89582\/revisions\/89587"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/imatsolutions.com\/index.php\/wp-json\/wp\/v2\/media\/89588"}],"wp:attachment":[{"href":"https:\/\/imatsolutions.com\/index.php\/wp-json\/wp\/v2\/media?parent=89582"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/imatsolutions.com\/index.php\/wp-json\/wp\/v2\/categories?post=89582"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/imatsolutions.com\/index.php\/wp-json\/wp\/v2\/tags?post=89582"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}