{"id":4049,"date":"2026-05-13T08:02:19","date_gmt":"2026-05-13T08:02:19","guid":{"rendered":"https:\/\/falcoxai.com\/main\/medicare-new-payment-model-built-for-ai\/"},"modified":"2026-05-13T08:02:19","modified_gmt":"2026-05-13T08:02:19","slug":"medicare-new-payment-model-built-for-ai","status":"publish","type":"post","link":"https:\/\/falcoxai.com\/main\/medicare-new-payment-model-built-for-ai\/","title":{"rendered":"Medicare\u2019s New Payment Model Built for AI \u2014 Here\u2019s Why It Matters"},"content":{"rendered":"

Medicare\u2019s new payment model is built for AI \u2014 but most tech companies are missing the boat. Neil Batlivala of Pair Team, a company managing chronic conditions in underserved populations, was recently accepted into ACCESS, a Medicare program testing AI-driven care at federal scale. This marks the first time the government is rewarding health outcomes, not just clinician hours, creating a pathway for AI to drive real impact in healthcare.<\/p>\n

This shift opens doors for AI solutions that address the full context of patient lives \u2014 from housing to nutrition \u2014 but only if you know how to leverage it. Read on to discover how this model can transform your business and unlock measurable ROI through smarter, outcomes-based AI strategies.<\/p>\n

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The Gap Nobody Talks About: Why AI Is Being Left Behind in Healthcare<\/h2>\n

Healthcare is lagging in AI adoption, despite the sector\u2019s massive potential for transformation. Most tech companies are ignoring Medicare\u2019s unique needs, particularly the new payment model built to support AI-driven care. Traditional models fail in chronic care because they reward activities, not outcomes \u2014 a mismatch for AI tools that monitor patients between visits or coordinate care across systems.<\/p>\n

Companies like Pair Team have spent years aligning with Medicare\u2019s goals, yet many in tech remain unaware of how to leverage this shift. As Neil Batlivala notes, the government is creating \u201cswim lanes for AI innovation,\u201d but most players are still stuck in old paradigms. This gap means billions in opportunities are being left on the table \u2014 for now.<\/p>\n

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Photo by www.kaboompics.com<\/a> on Pexels<\/a><\/figcaption><\/figure>\n
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What Is Medicare\u2019s New Payment Model \u2014 And Why It\u2019s a Game-Changer for AI<\/h2>\n

From activity-based to outcome-based payment<\/h3>\n

Medicare\u2019s new payment model shifts the focus from how much time is spent on care to how well patients actually improve. Instead of paying for check-ins or procedures, it rewards measurable health outcomes, like lower blood pressure or reduced pain. This change creates a new financial incentive for solutions that deliver real results \u2014 something AI is uniquely positioned to do.<\/p>\n

How AI fits into the new model<\/h3>\n

AI can monitor patients continuously, flag issues early, and coordinate care between providers \u2014 all without requiring additional time from clinicians. Neil Batlivala of Pair Team notes that AI can manage chronic conditions more effectively by addressing the full context of a patient\u2019s life, including housing, nutrition, and transportation. This is a perfect fit for the outcome-based model.<\/p>\n

ACCESS program: The first step in AI-driven care<\/h3>\n

The ACCESS program, launching July 5, is the first real test of this new model at scale. It includes 150 participants, from AI startups to wearable makers. Pair Team, which has been building toward this for five years, is one of the few companies focused on the complex needs of patients with chronic conditions and social barriers. The program is a critical first step in proving AI\u2019s value in healthcare.<\/p>\n

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How AI Can Deliver on the New Model \u2014 Beyond Just Tech<\/h2>\n

AI as a care coordinator, not just a diagnostic tool<\/h3>\n

AI in healthcare is shifting from a diagnostic tool to a care coordinator. This change aligns with Medicare\u2019s new payment model, which rewards outcomes, not activities. Tools like Pair Team\u2019s AI-driven platform go beyond diagnostics by managing care workflows, ensuring patients follow through on treatments and lifestyle changes.<\/p>\n

Real-world applications in chronic care<\/h3>\n

Chronic care management is where AI shines. Pair Team, for example, uses AI to address the full context of a patient\u2019s life, including food insecurity and unstable housing. Their model shows that AI can manage complex, multi-dimensional care needs \u2014 a critical requirement for the ACCESS program\u2019s success.<\/p>\n

Why AI wins in patient-centric models<\/h3>\n

Medicare\u2019s new payment model favors AI because it enables personalized, continuous care. Unlike traditional models that pay for time, ACCESS rewards measurable outcomes \u2014 and AI is uniquely positioned to deliver these. As Neil Batlivala notes, \u201cYou just couldn\u2019t do this before,\u201d but with the right AI tools, it\u2019s now possible to transform how care is delivered and paid for.<\/p>\n

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Photo by Tima Miroshnichenko<\/a> on Pexels<\/a><\/figcaption><\/figure>\n
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Where AI Wins \u2014 Practical Steps for Implementation<\/h2>\n

Step 1: Align AI with measurable outcomes<\/h3>\n

Medicare\u2019s new payment model rewards outcomes, not activities. Start by mapping AI tools to specific health goals \u2014 like blood pressure control or medication adherence. Pair Team\u2019s success shows that AI works best when it directly ties to measurable patient outcomes.<\/p>\n

Step 2: Integrate with existing care workflows<\/h3>\n

AI must fit into current clinical processes, not replace them. Use tools that interface with EHRs and support care teams. Avoid solutions that create friction or duplicate work \u2014 integration is key to adoption and effectiveness.<\/p>\n

Step 3: Leverage data for continuous improvement<\/p>\n

Collect and analyze data from AI interventions to refine care delivery. Pair Team has built its model around continuous feedback loops, ensuring AI adapts to real-world patient needs. This approach drives long-term value and aligns with Medicare\u2019s outcome-based goals.<\/p>\n

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How to Use AI to Improve Chronic Care and Meet Medicare\u2019s Goals<\/h2>\n

AI for diabetes and hypertension management<\/h3>\n

AI can monitor glucose levels, medication adherence, and lifestyle factors in real time for diabetes and hypertension patients. Pair Team\u2019s model shows that integrating AI with community health workers improves outcomes \u2014 and aligns with Medicare\u2019s new payment model.<\/p>\n

AI in mental health and depression care<\/h3>\n

AI chatbots and predictive analytics can detect early signs of depression and connect patients with care. This is especially impactful under the ACCESS program, which rewards measurable outcomes like reduced pain or improved mood.<\/p>\n

AI in social determinants of health<\/h3>\n

AI can identify social barriers like food insecurity or housing instability and trigger interventions. Neil Batlivala\u2019s company, Pair Team, has shown that addressing these factors is critical to improving long-term health outcomes \u2014 and meeting Medicare\u2019s goals.<\/p>\n

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Common Misconceptions About AI in Medicare\u2019s New Model<\/h2>\n

Misconception: AI replaces human care<\/h3>\n

AI is not a replacement for human care \u2014 it\u2019s an enabler. Companies like Pair Team have built models that integrate AI with human clinical professionals to address complex patient needs. As Neil Batlivala said, \u201cYou can’t improve health outcomes without addressing the full context of someone’s life.\u201d AI handles routine monitoring and coordination, while humans handle the nuanced, high-touch care.<\/p>\n

Misconception: AI is only for tech startups<\/h3>\n

AI in healthcare is not limited to startups. Established players and startups alike can leverage the Medicare new payment model built for AI. Pair Team, for example, has grown to employ 850 clinical professionals and operates at scale. The ACCESS program is open to a wide range of participants, including startups, wearables, and connected device companies.<\/p>\n

Misconception: AI can work without data integration<\/h3>\n

Data integration is essential for AI to deliver measurable outcomes. Without seamless access to patient data, AI cannot make informed decisions or coordinate care effectively. The Medicare new payment model built for AI assumes that data will be shared and used strategically \u2014 a shift that requires both technical and operational alignment.<\/p>\n

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The Future of AI in Healthcare \u2014 What\u2019s Next?<\/h2>\n

AI as a core part of healthcare infrastructure<\/h3>\n

The Medicare new payment model built for AI is not just a regulatory shift \u2014 it\u2019s a blueprint for the future of healthcare infrastructure. AI will no longer be a niche tool; it will be embedded into the fabric of care delivery, from chronic disease management to real-time patient monitoring.<\/p>\n

Companies like Pair Team are already proving that AI can drive measurable outcomes when integrated with human expertise. Their model, which combines AI with a large community health workforce, shows that the most effective solutions address both medical and social determinants of health.<\/p>\n

As this model scales, healthcare systems will need to rethink how they allocate resources. AI automation in healthcare will shift from being an add-on to a foundational element of care \u2014 and those who adapt will capture the most value.<\/p>\n

\u201cThe government is creating swim lanes for AI innovation in traditionally regulated industries,\u201d says Neil Batlivala. That\u2019s not just a statement \u2014 it\u2019s a call to action for healthcare leaders to build solutions that align with this new reality.<\/p>\n

Source: techcrunch.com<\/a><\/em><\/p>\n","protected":false},"excerpt":{"rendered":"

Medicare\u2019s new payment model is built for AI \u2014 but most tech companies are missing the boat. Neil Batlivala of Pair Team, a company managing chronic conditions in underserved populations, was recently accepted into ACCESS, a Medicare program testing AI-driven care at federal scale. This marks the fi<\/p>\n","protected":false},"author":1,"featured_media":4046,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[172,67],"tags":[453,62,456,454,452,406,451,455],"class_list":["post-4049","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-automation-3","category-business-strategy","tag-access-program","tag-ai-automation","tag-ai-for-quality-management","tag-ai-in-healthcare","tag-chronic-care-management","tag-healthcare-ai","tag-medicare-ai","tag-outcome-based-payment"],"_links":{"self":[{"href":"https:\/\/falcoxai.com\/main\/wp-json\/wp\/v2\/posts\/4049","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/falcoxai.com\/main\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/falcoxai.com\/main\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/falcoxai.com\/main\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/falcoxai.com\/main\/wp-json\/wp\/v2\/comments?post=4049"}],"version-history":[{"count":0,"href":"https:\/\/falcoxai.com\/main\/wp-json\/wp\/v2\/posts\/4049\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/falcoxai.com\/main\/wp-json\/wp\/v2\/media\/4046"}],"wp:attachment":[{"href":"https:\/\/falcoxai.com\/main\/wp-json\/wp\/v2\/media?parent=4049"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/falcoxai.com\/main\/wp-json\/wp\/v2\/categories?post=4049"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/falcoxai.com\/main\/wp-json\/wp\/v2\/tags?post=4049"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}