{"id":7715392,"date":"2026-04-10T02:35:53","date_gmt":"2026-04-10T02:35:53","guid":{"rendered":"https:\/\/orionhealth.com\/?p=7715392"},"modified":"2026-04-16T22:12:41","modified_gmt":"2026-04-16T22:12:41","slug":"the-convergence-quarter-policy-funding-and-ai-collide","status":"publish","type":"post","link":"https:\/\/orionhealth.com\/global\/blog\/the-convergence-quarter-policy-funding-and-ai-collide\/","title":{"rendered":"The Convergence Quarter: Policy, Funding, and AI Collide\u00a0\u00a0\u00a0\u00a0"},"content":{"rendered":"\n<p>In the U.S. healthcare market, no single event defined the first quarter of the year, but across them a pattern became clear.\u00a0<\/p>\n\n\n\n<p>Across federal policy discussions,\u00a0state-level funding decisions, and conversations at conferences like\u00a0<a href=\"\/blog\/himss26-ai-healthcare-data-readiness-in-the-us\/\" target=\"_blank\" rel=\"noreferrer noopener\">HIMSS<\/a>\u00a0and\u00a0<a href=\"\/blog\/astp-2026-operationalizing-interoperability-ai\/\" target=\"_blank\" rel=\"noreferrer noopener\">Office of the National Coordinator (ONC)\u00a0ASTP\u00a0meeting<\/a>, the same signals kept surfacing. Policy, funding, and technology are not moving in parallel. They are converging, and that convergence is\u00a0concentrating\u00a0influence in new ways.\u00a0\u00a0<\/p>\n\n\n\n<p>The question is no longer just what decisions are made, but who makes them and under what constraints.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Policy Is Reshaping the Structure of the Market\u00a0<\/h2>\n\n\n\n<p>Policy is moving from the edges of the market to defining its structure.&nbsp;<\/p>\n\n\n\n<p>Signals from CMS,&nbsp;the ONC&nbsp;ASTP&nbsp;meeting, and other federal initiatives point toward a more coordinated approach.&nbsp;Interoperability mandates, AI governance, and funding programs like&nbsp;Rural&nbsp;Health&nbsp;Transformation Program (RHTP)&nbsp;are increasingly interconnected.&nbsp;<\/p>\n\n\n\n<p>CMS is also\u00a0signaling\u00a0greater standardization across states through concepts like national vendors and\u00a0<a href=\"\/blog\/cms-health-tech-ecosystem-orion-healths-us-commitment\/\" target=\"_blank\" rel=\"noreferrer noopener\">Health Tech Ecosystem\u00a0participation<\/a>. This reduces variability and shifts decision-making toward a more centralized model.\u00a0<\/p>\n\n\n\n<p>This is also visible in interoperability. Conversations at HIMSS reinforced that while TEFCA is gaining momentum, it does not replace the need for strong local infrastructure. National exchange moves data, while local infrastructure&nbsp;determines&nbsp;how it is used.&nbsp;The issue is no longer access to data, but whether that data can be used in real-world decision-making.&nbsp;<\/p>\n\n\n\n<p>In a HIMSS session on TEFCA and national interoperability, it was noted that national interoperability may expand access to data, but \u201cthe real value comes from the organizations that make that data usable in practice.\u201d&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">The $50B Question: RHTP\u00a0Funding as Both Fuel and Friction\u00a0<\/h2>\n\n\n\n<p>Funding is accelerating the timeline set by policy.&nbsp;<\/p>\n\n\n\n<p>RHTP&nbsp;funding presents a major opportunity, but execution is proving complex. States are under pressure to&nbsp;allocate&nbsp;funds quickly, often without clear long-term strategies.&nbsp;<\/p>\n\n\n\n<p>The funding points to transformation, but execution\u00a0remains\u00a0uneven.\u00a0In practice, execution capacity, not funding, will\u00a0determine\u00a0outcomes.\u00a0<\/p>\n\n\n\n<p>Discussions at the State HIT Connect Summit reinforced that the challenge is not vision, but execution.&nbsp;During a session on rural transformation, one recurring theme was that \u201cthe biggest risk is not the vision, it\u2019s execution.\u201d Speakers pointed to procurement complexity, implementation capacity, and provider readiness as the factors most likely to&nbsp;determine&nbsp;success.&nbsp;&nbsp;<\/p>\n\n\n\n<p>Key risks include:&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Procurement speed and contract complexity\u00a0<\/li>\n\n\n\n<li>Vendor selection and alignment\u00a0<\/li>\n\n\n\n<li>Implementation support and resourcing\u00a0<\/li>\n\n\n\n<li>Limited technical capacity among rural providers\u00a0<\/li>\n<\/ul>\n\n\n\n<p>States are also taking a more active role in shaping the market through initiatives like the Rural Tech Catalyst Fund, with a focus on shared infrastructure and sustainable care models beyond the funding period.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">AI: Rapid Advancement, Uneven Control\u00a0<\/h2>\n\n\n\n<p>AI is scaling quickly, but governance and operational readiness are not keeping pace.&nbsp;<\/p>\n\n\n\n<p>Q1 did not bring major breakthroughs, but it reinforced that AI is now embedded in healthcare. The more telling signal is the gap in adoption.&nbsp;Some organizations are accelerating, while others struggle to move beyond pilots.&nbsp;The divide&nbsp;isn\u2019t&nbsp;about&nbsp;access,&nbsp;it\u2019s&nbsp;whether the AI delivers usable intelligence inside real workflows.&nbsp;AI maturity comes down to whether&nbsp;systems can generate relevant, context-aware insights that can be trusted&nbsp;in real clinical environments.&nbsp;&nbsp;<\/p>\n\n\n\n<p>At the State HIT Connect Summit,&nbsp;early use case focuses on&nbsp;AI framed as a capacity multiplier, such as:&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Ambient documentation and scribing\u00a0<\/li>\n\n\n\n<li>Chart summarization\u00a0<\/li>\n\n\n\n<li>Image\u00a0review\u00a0support\u00a0<\/li>\n\n\n\n<li>Workflow and\u00a0workforce enablement\u00a0<\/li>\n<\/ul>\n\n\n\n<p>Burden is reduced, but the intelligence layer is missing.&nbsp;The next&nbsp;phase&nbsp;AI is&nbsp;different.&nbsp;&nbsp;<\/p>\n\n\n\n<p>Real impact&nbsp;comes from combining multiple data sources, including clinical, claims, and operational&nbsp;data, to&nbsp;surface&nbsp;predictive and actionable&nbsp;insights&nbsp;at the point of care.&nbsp;For example,&nbsp;identifying&nbsp;risk&nbsp;earlier&nbsp;and&nbsp;guiding&nbsp;transitions of care.&nbsp;Interoperability&nbsp;makes that possible. Without&nbsp;full&nbsp;system&nbsp;connectivity, high-quality&nbsp;data&nbsp;AI cannot deliver meaningful intelligence.&nbsp;<\/p>\n\n\n\n<p>Organizations that operationalize&nbsp;trusted intelligence at scale will gain&nbsp;decision-making&nbsp;advantage. Others risk falling behind as the gap&nbsp;widens.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Shaping How Decisions Are Made\u00a0<\/h2>\n\n\n\n<p>Buyers are making fewer decisions, and each one carries more weight.&nbsp;Execution capability is now part of the evaluation, not an afterthought.&nbsp;Policy constraints and funding timelines are increasing pressure.&nbsp;<\/p>\n\n\n\n<p>Evaluation criteria are evolving, with greater scrutiny on proof and scalability.&nbsp;Surface-level differentiation is&nbsp;no longer&nbsp;enough.&nbsp;<\/p>\n\n\n\n<p>Vendors are increasingly expected to support implementation and workflow integration.&nbsp;Organizations are looking for partners who can operationalize solutions,&nbsp;not just&nbsp;deliver them.&nbsp;<\/p>\n\n\n\n<p>Trust and&nbsp;demonstrated&nbsp;outcomes are becoming primary decision filters.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">What\u00a0We\u2019re\u00a0Watching in Q2\u00a0<\/h2>\n\n\n\n<p>The next quarter will clarify where control is&nbsp;consolidating.&nbsp;Key areas&nbsp;include:&nbsp;&nbsp;<\/p>\n\n\n\n<ol start=\"1\" class=\"wp-block-list\">\n<li>States\u2019\u00a0allocations of\u00a0RHTP\u00a0funding, particularly\u00a0data\u00a0infrastructure.\u00a0\u00a0<\/li>\n\n\n\n<li>How\u00a0CMS advances national vendor pathways or ecosystem\u00a0requirements.\u00a0\u00a0<\/li>\n\n\n\n<li>Emerging signals on fraud and waste initiatives\u00a0as\u00a0federal investment\u00a0supports more\u00a0proactive detection and cost-containment strategies.\u00a0<\/li>\n\n\n\n<li>Shifts\u00a0from pilots to scaled\u00a0intelligent\u00a0deployment\u00a0that\u00a0indicate\u00a0AI\u00a0maturity.\u00a0<\/li>\n<\/ol>\n\n\n\n<ol start=\"2\" class=\"wp-block-list\"><\/ol>\n\n\n\n<ol start=\"3\" class=\"wp-block-list\"><\/ol>\n\n\n\n<ol start=\"4\" class=\"wp-block-list\"><\/ol>\n\n\n\n<h2 class=\"wp-block-heading\">A Market Being Re-Architected in Real Time\u00a0<\/h2>\n\n\n\n<p>Q1 made one thing clear: this is not&nbsp;incremental&nbsp;change.&nbsp;Policy, funding, and technology are converging in ways that are accelerating decisions and reshaping where control sits.&nbsp;<\/p>\n\n\n\n<p>The organizations that move early, align with policy, and execute beyond pilots will define what comes next.&nbsp;<\/p>\n\n\n\n<p>This is no longer just a question of what decisions to make, but who is positioned to make them and how quickly they can act.&nbsp;For organizations responsible for making data usable across fragmented systems, this shift elevates interoperability from capability to control point.&nbsp;<\/p>\n\n\n\n<p>Want to understand how these shifts could impact your organization? Get in touch with our team to explore what this means for your strategy.<\/p>\n\n\n\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link wp-element-button\" href=\"\/contact\/\" target=\"_blank\" rel=\"noreferrer noopener\">Talk to an Expert<\/a><\/div>\n<\/div>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>In the U.S. healthcare market, no single event defined the first quarter of the year, but across them a pattern became clear.\u00a0 Across federal policy discussions,\u00a0state-level funding decisions, and conversations at conferences like\u00a0HIMSS\u00a0and\u00a0Office of the National Coordinator (ONC)\u00a0ASTP\u00a0meeting, the same signals kept surfacing. Policy, funding, and technology are not moving in parallel. They are converging, [&hellip;]<\/p>\n","protected":false},"author":35,"featured_media":7715393,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"content-type":"","footnotes":""},"categories":[1],"tags":[256,96],"region":[23,28],"class_list":["post-7715392","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog","tag-health-information-exchange","tag-interoperability","region-global","region-us"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.1.1 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>US Healthcare Trends 2026: Policy, AI &amp; Funding- Orion Health<\/title>\n<meta name=\"description\" content=\"Explore US healthcare trends shaping 2026, from policy shifts to AI adoption and funding driving market change.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link 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