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    <title>Azis Dabas Healthcare AI GTM Briefs</title>
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    <description>Weekly source-backed healthcare AI, GTM, payer strategy, RevOps, and payment integrity briefs.</description>
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    <lastBuildDate>Sat, 05 Sep 2026 00:00:00 GMT</lastBuildDate>
    <item>
      <title>After the AI Pilot: Who Owns the Healthcare Operating Model?</title>
      <link>https://azisdabas.com/insights/healthcare-ai-operating-model-after-the-pilot/</link>
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      <pubDate>Sat, 05 Sep 2026 00:00:00 GMT</pubDate>
      <description>A whole-system reading of AI adoption, pharmacy access, interoperability, capital, and human oversight. The next mandate is an operating journey, not another isolated pilot.</description>
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      <title>The Healthcare AI Control Plane: Designing the Whole System</title>
      <link>https://azisdabas.com/insights/healthcare-ai-control-plane-whole-system/</link>
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      <pubDate>Tue, 01 Sep 2026 00:00:00 GMT</pubDate>
      <description>A 500-foot operating architecture for the future of healthcare across people, payers, providers, pharmacy, claims, data, agents, human authority, and the learning loop that turns activity into accountable value.</description>
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      <title>The Healthcare AI Value Realization Ledger</title>
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      <pubDate>Tue, 11 Aug 2026 00:00:00 GMT</pubDate>
      <description>A CFO-grade framework for measuring whether healthcare AI creates durable operating value after implementation cost, human review, exceptions, provider impact, and governance are counted.</description>
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      <title>The Healthcare AI Value Realization Ledger</title>
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      <pubDate>Tue, 11 Aug 2026 00:00:00 GMT</pubDate>
      <description>A CFO-grade framework for measuring whether healthcare AI creates durable operating value after implementation cost, human review, exceptions, provider impact, and governance are counted.</description>
    </item>
    <item>
      <title>The ACCESS Model Turns Digital Health Into Reimbursed Care Infrastructure</title>
      <link>https://azisdabas.com/insights/cms-access-model-healthtech-reimbursement/</link>
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      <pubDate>Sun, 19 Jul 2026 00:00:00 GMT</pubDate>
      <description>CMS has opened an outcome-aligned payment path for technology-supported chronic care. The strategic question is no longer whether digital care can engage patients, but whether it can integrate, measure outcomes, and operate inside Medicare workflows.</description>
    </item>
    <item>
      <title>Healthtech Capital Is Buying Operating Leverage, Not AI Labels</title>
      <link>https://azisdabas.com/insights/healthtech-capital-operating-leverage/</link>
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      <pubDate>Sun, 19 Jul 2026 00:00:00 GMT</pubDate>
      <description>Digital health capital is concentrating in fewer, larger bets while AI becomes expected infrastructure. The durable moat is the ability to translate technology into distribution, workflow adoption, measurable value, and repeatable economics.</description>
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    <item>
      <title>The ACCESS Model Turns Digital Health Into Reimbursed Care Infrastructure</title>
      <link>https://azisdabas.com/insights/cms-access-model-healthtech-reimbursement/</link>
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      <pubDate>Sun, 19 Jul 2026 00:00:00 GMT</pubDate>
      <description>CMS has opened an outcome-aligned payment path for technology-supported chronic care. The strategic question is no longer whether digital care can engage patients, but whether it can integrate, measure outcomes, and operate inside Medicare workflows.</description>
    </item>
    <item>
      <title>Healthtech Capital Is Buying Operating Leverage, Not AI Labels</title>
      <link>https://azisdabas.com/insights/healthtech-capital-operating-leverage/</link>
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      <pubDate>Sun, 19 Jul 2026 00:00:00 GMT</pubDate>
      <description>Digital health capital is concentrating in fewer, larger bets while AI becomes expected infrastructure. The durable moat is the ability to translate technology into distribution, workflow adoption, measurable value, and repeatable economics.</description>
    </item>
    <item>
      <title>AI Voice Is Moving Inside the RCM System of Record</title>
      <link>https://azisdabas.com/insights/ai-voice-rcm-system-of-record/</link>
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      <pubDate>Sun, 19 Jul 2026 00:00:00 GMT</pubDate>
      <description>A new acquisition signal shows AI voice moving from point solution to embedded revenue-cycle infrastructure. The winning design will connect payer calls, claim follow-up, authorization, evidence, human review, and financial proof inside the core workflow.</description>
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    <item>
      <title>Healthcare AI Product Strategy Starts With the Regulatory Boundary</title>
      <link>https://azisdabas.com/insights/healthcare-ai-regulatory-boundary/</link>
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      <pubDate>Sun, 19 Jul 2026 00:00:00 GMT</pubDate>
      <description>FDA activity around non-device software and clinical decision support makes one product decision unavoidable: define what the software does, who uses it, what evidence they can independently review, and where the function crosses into regulated device territory.</description>
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    <item>
      <title>Interoperability Is Becoming Commercial Distribution Infrastructure</title>
      <link>https://azisdabas.com/insights/interoperability-commercial-distribution/</link>
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      <pubDate>Sun, 19 Jul 2026 00:00:00 GMT</pubDate>
      <description>TEFCA scale, BCDA v3, and electronic prior-authorization momentum are changing interoperability from a compliance feature into a distribution and implementation advantage for healthcare companies.</description>
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    <item>
      <title>The 2027 Physician Fee Schedule Makes Provider Economics a Product Requirement</title>
      <link>https://azisdabas.com/insights/2027-physician-fee-schedule-provider-economics/</link>
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      <pubDate>Sun, 19 Jul 2026 00:00:00 GMT</pubDate>
      <description>CMS&apos;s proposed 2027 Physician Fee Schedule sharpens the need for healthtech products to reduce operating burden, support longitudinal care, and prove value inside constrained provider economics.</description>
    </item>
    <item>
      <title>Software as a Medical Service Changes the Reimbursement Conversation</title>
      <link>https://azisdabas.com/insights/software-as-medical-service-reimbursement/</link>
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      <pubDate>Sun, 19 Jul 2026 00:00:00 GMT</pubDate>
      <description>CMS is proposing an interim approach for software-based medical services with algorithmic analysis. The opening is important, but the category will reward products that can prove incremental clinical value, cost, workflow fit, and auditable use.</description>
    </item>
    <item>
      <title>340B Is Becoming a Claims-Data Operating Problem</title>
      <link>https://azisdabas.com/insights/340b-claims-data-operating-system/</link>
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      <pubDate>Sun, 19 Jul 2026 00:00:00 GMT</pubDate>
      <description>CMS&apos;s proposed Part D claim-level data requirements make 340B traceability a cross-functional operating issue spanning pharmacy, provider, claims, contract pharmacy, finance, compliance, and rebate workflows.</description>
    </item>
    <item>
      <title>Telehealth Extension Gives FQHCs Time to Build a Better Hybrid Care Model</title>
      <link>https://azisdabas.com/insights/fqhc-telehealth-hybrid-care-model/</link>
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      <pubDate>Sun, 19 Jul 2026 00:00:00 GMT</pubDate>
      <description>Federal telehealth extensions through 2027 create operating runway for FQHCs and their partners. The next advantage will come from hybrid access, capacity, behavioral health integration, referral completion, and patient continuity rather than virtual visits alone.</description>
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    <item>
      <title>Kidney Payment Reform Still Depends on Referral and Intake Operations</title>
      <link>https://azisdabas.com/insights/kidney-care-referral-intake-operations/</link>
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      <pubDate>Sun, 19 Jul 2026 00:00:00 GMT</pubDate>
      <description>The Kidney Care Choices Model has shown quality gains and spending pressure at the same time. The operating lesson is direct: payment design cannot deliver coordinated kidney care unless referral, education, intake, modality choice, and handoffs work reliably.</description>
    </item>
    <item>
      <title>Health-App Data Governance Is Part of the Commercial Product</title>
      <link>https://azisdabas.com/insights/health-app-data-governance-commercial-trust/</link>
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      <pubDate>Sun, 19 Jul 2026 00:00:00 GMT</pubDate>
      <description>FTC health-breach guidance makes a practical point for digital health: privacy, data flows, vendors, consent, incident response, and deletion are not legal appendices. They shape buyer trust, implementation, and product architecture.</description>
    </item>
    <item>
      <title>Healthcare AI Buyers Will Test the Claim, Not the Demo</title>
      <link>https://azisdabas.com/insights/healthcare-ai-claims-buyer-diligence/</link>
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      <pubDate>Sun, 19 Jul 2026 00:00:00 GMT</pubDate>
      <description>Recent FTC activity around AI accuracy reinforces a broader healthcare buying rule: every performance, autonomy, savings, and workflow claim needs a defined context, evidence trail, limitation, owner, and monitoring plan.</description>
    </item>
    <item>
      <title>What a Healthcare AI Consultant Should Actually Build</title>
      <link>https://azisdabas.com/insights/healthcare-ai-consulting-operating-model/</link>
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      <pubDate>Thu, 16 Jul 2026 00:00:00 GMT</pubDate>
      <description>A practical operating model for healthcare AI consulting across use-case strategy, workflow discovery, product and data architecture, build-versus-buy decisions, governance, implementation, adoption, and proof.</description>
    </item>
    <item>
      <title>How Health Plans Should Evaluate AI-Native and Rules-Based Payment Integrity Vendors</title>
      <link>https://azisdabas.com/insights/health-plans-evaluate-ai-payment-integrity-vendors/</link>
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      <pubDate>Thu, 16 Jul 2026 00:00:00 GMT</pubDate>
      <description>A payer decision framework for evaluating AI-native, machine-learning, and rules-based payment integrity vendors across savings quality, explainability, provider abrasion, appeals, workflow, governance, and implementation cost.</description>
    </item>
    <item>
      <title>Agentic Revenue Integrity Needs a Control Plane</title>
      <link>https://azisdabas.com/insights/agentic-revenue-integrity-control-plane/</link>
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      <pubDate>Thu, 16 Jul 2026 00:00:00 GMT</pubDate>
      <description>How agentic revenue integrity connects prior authorization, claims, denials, payment integrity, evidence, human review, and financial proof without turning consequential healthcare decisions into black-box automation.</description>
    </item>
    <item>
      <title>Healthtech Pulse: Healthcare Is Buying Proof-Bearing Orchestration</title>
      <link>https://azisdabas.com/insights/2026-06-19-healthtech-pulse/</link>
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      <pubDate>Fri, 19 Jun 2026 00:00:00 GMT</pubDate>
      <description>A public operator brief on why the latest healthtech signal is not just more AI or more access rhetoric, but a harder market demand for proof-bearing orchestration: regulated payment rails, managed care distribution, and referral workflows now need to show measurable execution instead of promising eventual coordination.</description>
    </item>
    <item>
      <title>Healthtech Pulse: The Market Is Demanding Operating Guarantees</title>
      <link>https://azisdabas.com/insights/2026-06-18-healthtech-pulse/</link>
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      <pubDate>Thu, 18 Jun 2026 00:00:00 GMT</pubDate>
      <description>A public operator brief on why the freshest healthtech signal is not just more policy churn or more AI rollout, but a harder market demand for operating guarantees: if a network, workflow, or automation cannot prove access, compliance, reimbursement durability, and system-fit, buyers are treating it as risk.</description>
    </item>
    <item>
      <title>Healthtech Pulse: Healthcare Is Repricing the Navigation Layer</title>
      <link>https://azisdabas.com/insights/2026-06-17-healthtech-pulse/</link>
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      <pubDate>Wed, 17 Jun 2026 00:00:00 GMT</pubDate>
      <description>A public operator brief on why the newest healthcare signal is not just more policy churn or more AI rollout, but a repricing of the navigation layer: CMS is formalizing digital operating control, payer distribution is getting harsher, behavioral telehealth remains a durable demand channel, and providers are buying specialty AI as workflow replacement infrastructure.</description>
    </item>
    <item>
      <title>Healthtech Pulse: Healthcare Is Standardizing the Front Door</title>
      <link>https://azisdabas.com/insights/2026-06-16-healthtech-pulse/</link>
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      <pubDate>Tue, 16 Jun 2026 00:00:00 GMT</pubDate>
      <description>A public operator brief on why the latest market signal is not more healthcare AI noise, but a hardening of the front door: CMS is centralizing health-tech product power, exchange markets are getting thinner and more contested, patient-finance AI is being judged on operating proof, and commercialization is moving deeper into policy rails.</description>
    </item>
    <item>
      <title>Healthtech Pulse: Healthcare Is Repricing Around Proof</title>
      <link>https://azisdabas.com/insights/2026-06-14-healthtech-pulse/</link>
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      <pubDate>Sun, 14 Jun 2026 00:00:00 GMT</pubDate>
      <description>A public operator brief on why the newest healthtech signal is not just AI adoption but proof infrastructure: CMS is organizing around products, Medicare Advantage denials are drawing sharper scrutiny, payers are pricing AI coding intensity into next year, and commercialization is getting more policy-native.</description>
    </item>
    <item>
      <title>Healthtech Pulse: Payment Friction Is Becoming the Product Surface</title>
      <link>https://azisdabas.com/insights/2026-05-28-healthtech-pulse/</link>
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      <pubDate>Thu, 28 May 2026 00:00:00 GMT</pubDate>
      <description>A public operator brief on why healthcare AI and healthtech GTM are shifting from feature demos to auditable operating infrastructure across IDR, electronic prior authorization, AI-first virtual care, RCM, and payer intelligence.</description>
    </item>
    <item>
      <title>Healthcare AI Search Is Changing Buyer Discovery</title>
      <link>https://azisdabas.com/insights/healthcare-ai-search-buyer-discovery/</link>
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      <pubDate>Tue, 26 May 2026 00:00:00 GMT</pubDate>
      <description>What founders need to prove as Google AI experiences, Gemini-style answers, and executive research workflows compress discovery into sourced, answer-ready proof.</description>
    </item>
    <item>
      <title>Agentic RCM Needs Governance, Not More Automation Claims</title>
      <link>https://azisdabas.com/insights/agentic-rcm-governance/</link>
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      <pubDate>Tue, 26 May 2026 00:00:00 GMT</pubDate>
      <description>Why revenue cycle automation only becomes enterprise-grade when speed, human review, payer logic, audit trails, and financial impact are designed together.</description>
    </item>
    <item>
      <title>Prior Authorization Is Becoming API Infrastructure</title>
      <link>https://azisdabas.com/insights/prior-authorization-api-infrastructure/</link>
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      <pubDate>Tue, 26 May 2026 00:00:00 GMT</pubDate>
      <description>How CMS interoperability policy changes the GTM shape for prior authorization, payer workflow, provider burden, and healthtech implementation proof.</description>
    </item>
    <item>
      <title>Payment Integrity Is Moving From Audit Function to AI Operating Layer</title>
      <link>https://azisdabas.com/insights/payment-integrity-ai-operating-layer/</link>
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      <pubDate>Tue, 26 May 2026 00:00:00 GMT</pubDate>
      <description>Why Medicaid, Medicare Advantage, claims leakage, auditability, and AI workflow governance are becoming one commercial and operating design problem.</description>
    </item>
    <item>
      <title>Healthtech Pulse: The Admin Stack Gets Real—CMS Rails, Payer AI Guardrails, and Enforcement-Grade Auditability</title>
      <link>https://azisdabas.com/insights/2026-05-23-healthtech-pulse/</link>
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      <pubDate>Sat, 23 May 2026 00:00:00 GMT</pubDate>
      <description>A public GTM brief on why healthcare’s next operational winners will look less like “AI tools” and more like regulated infrastructure: CMS is hardening ePA and patient-facing data rails, HHS is turning audits into an AI-supported enforcement motion, and payers are being forced to price the downstream impact of provider AI adoption.</description>
    </item>
    <item>
      <title>Healthtech Pulse: AI Becomes Infrastructure—Smart Hospitals, Agentic EHR Workflows, and the New Trust Battle</title>
      <link>https://azisdabas.com/insights/2026-05-22-healthtech-pulse/</link>
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      <pubDate>Fri, 22 May 2026 00:00:00 GMT</pubDate>
      <description>A public GTM brief on why healthcare’s next AI winners look less like chatbots and more like infrastructure: sensorized hospital rooms, agentic workflow builders inside the EMR, privacy-preserving compute for trial access, and a growing political fight over AI-driven prior auth in Medicare.</description>
    </item>
    <item>
      <title>Healthtech Pulse: The Trust Layer—ePA Rails, Identity Hardening, and AI’s Real Buyer (Benefits Ops)</title>
      <link>https://azisdabas.com/insights/2026-05-21-healthtech-pulse/</link>
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      <pubDate>Thu, 21 May 2026 00:00:00 GMT</pubDate>
      <description>A public GTM brief on the trust layer forming in healthcare: CMS is turning prior auth into a networked workflow, payers and employers are industrializing AI for navigation and benefits ops, and identity is becoming the new security perimeter for interoperability.</description>
    </item>
    <item>
      <title>Healthtech Pulse: The Churn Tax, the Workflow OS Landgrab, and the New Metabolic Clinic Stack</title>
      <link>https://azisdabas.com/insights/2026-05-20-healthtech-pulse/</link>
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      <pubDate>Wed, 20 May 2026 00:00:00 GMT</pubDate>
      <description>A public market brief on today’s operating reality: affordability volatility is turning into a churn tax, provider admin platforms are consolidating into workflow operating systems, and virtual care winners are attaching to payer economics—then staffing up to deliver.</description>
    </item>
    <item>
      <title>Healthtech Pulse: Churn Economics, ePA Rails, and the New Proof Standard for AI</title>
      <link>https://azisdabas.com/insights/2026-05-19-healthtech-pulse/</link>
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      <pubDate>Tue, 19 May 2026 00:00:00 GMT</pubDate>
      <description>A public market brief on the quiet rebuild underway: coverage churn is becoming an operating risk, electronic prior auth is turning into shared infrastructure, and AI only wins in healthcare when it ships with traceability and contestability.</description>
    </item>
    <item>
      <title>Healthtech Pulse: Prior Auth Is Becoming Infrastructure (and the Winners Will Own the Workflow, Not the API)</title>
      <link>https://azisdabas.com/insights/2026-05-17-healthtech-pulse/</link>
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      <pubDate>Sun, 17 May 2026 00:00:00 GMT</pubDate>
      <description>A public market brief on why electronic prior authorization is no longer a compliance project: CMS is forcing cross-ecosystem integration, AI in utilization management is colliding with consumer protections, and &quot;proof + auditability&quot; is becoming the real product for regulated healthcare software.</description>
    </item>
    <item>
      <title>Healthtech Pulse: The Claims Stack is Becoming a Negotiation Weapon (and Governance is the Moat)</title>
      <link>https://azisdabas.com/insights/2026-05-16-healthtech-pulse/</link>
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      <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
      <description>A public market brief on the new admin arms race: providers are finally buying payer-behavior intelligence like it&apos;s a revenue line, payers are demanding governance and defensibility from AI-enabled workflows, and CMS is tightening the front door with data-driven program integrity - pushing healthtech GTM from &quot;automation&quot; to &quot;audit-ready operating systems.&quot;</description>
    </item>
    <item>
      <title>Healthtech Pulse: Prior Auth is Becoming a Product Surface (Not a Back-Office Fight)</title>
      <link>https://azisdabas.com/insights/2026-05-14-healthtech-pulse/</link>
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      <pubDate>Thu, 14 May 2026 00:00:00 GMT</pubDate>
      <description>A public-facing market brief on why CMS is turning electronic prior authorization into a governed adoption program, why payers are signaling &quot;less PA&quot; as a reputational and operating strategy, and why interoperability vendors are racing to prove CMS-0057 readiness - shifting the buyer question from &quot;do you support FHIR?&quot; to &quot;can you run the workflow in production?&quot;</description>
    </item>
    <item>
      <title>Healthtech Pulse: When Policy Becomes Product (Medicaid AI Oversight, ePA Rail-Building, and New Government Front Doors)</title>
      <link>https://azisdabas.com/insights/2026-05-12-healthtech-pulse/</link>
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      <pubDate>Tue, 12 May 2026 00:00:00 GMT</pubDate>
      <description>A public-facing market brief on why Medicaid is moving toward explicit oversight for AI-enabled utilization workflows, CMS is turning electronic prior auth into a cross-ecosystem implementation program (not just a rule), and federal agencies are productizing consumer &quot;front doors&quot; that will reshape navigation, trust, and distribution.</description>
    </item>
    <item>
      <title>Healthtech Pulse: The New Trust Stack (Payer De-Friction, GLP-1 Access Rails, and AI-Native Enforcement)</title>
      <link>https://azisdabas.com/insights/2026-05-11-healthtech-pulse/</link>
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      <pubDate>Mon, 11 May 2026 00:00:00 GMT</pubDate>
      <description>A public-facing market brief on why payers are reducing blanket prior auth while tightening data gates, CMS is turning GLP-1 affordability into a time-bound distribution rail, and states/regulators are drawing a hard line on AI experiences that look like practicing medicine.</description>
    </item>
    <item>
      <title>Healthtech Pulse: Decision Surfaces Are Hardening (Prior Auth APIs, Regulator AI, and the New Clinical Search Layer)</title>
      <link>https://azisdabas.com/insights/2026-05-10-healthtech-pulse/</link>
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      <pubDate>Sun, 10 May 2026 00:00:00 GMT</pubDate>
      <description>A public-facing market brief on why prior auth is becoming an API mandate, FDA is instrumenting itself with AI, and clinical &quot;search&quot; is turning into the next distribution channel - forcing founders to sell proof, not vibes.</description>
    </item>
    <item>
      <title>Healthtech Pulse: Prior Auth Is Turning Into Infrastructure (and AI Is Becoming the Interface)</title>
      <link>https://azisdabas.com/insights/2026-05-09-healthtech-pulse/</link>
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      <pubDate>Sat, 09 May 2026 00:00:00 GMT</pubDate>
      <description>A public-facing market brief on why CMS is forcing prior authorization into APIs, affordability is becoming time-bound GTM windows, and AI experiences are being boxed into clearer regulatory and workflow perimeters.</description>
    </item>
    <item>
      <title>Healthtech Pulse: Trust, Affordability, and Data Are Hardening Into Rails</title>
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      <pubDate>Fri, 08 May 2026 00:00:00 GMT</pubDate>
      <description>A public-facing market brief on why the next wave of healthtech winners will be the ones that treat affordability programs, AI care agents, and real-world data not as features, but as rails you can operate safely, measure, and sell against.</description>
    </item>
    <item>
      <title>Healthtech Pulse: Prior Auth Is Becoming a Competitive Workflow Surface</title>
      <link>https://azisdabas.com/insights/2026-05-07-healthtech-pulse/</link>
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      <pubDate>Thu, 07 May 2026 00:00:00 GMT</pubDate>
      <description>A public-facing market brief on how CMS ePrior Auth deadlines, payer simplification moves, and agency AI modernization are converging into a new commercialization test: workflow-native interoperability with provable access and admin lift.</description>
    </item>
    <item>
      <title>Healthtech Pulse: Why AI, Access, and Payment Pressure Are Becoming One Market</title>
      <link>https://azisdabas.com/insights/2026-05-06-healthtech-pulse/</link>
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      <pubDate>Wed, 06 May 2026 00:00:00 GMT</pubDate>
      <description>A public-facing healthtech market brief on how AI, payer pressure, interoperability, value-based care, and access are converging into a new commercialization test for healthcare companies.</description>
    </item>
    <item>
      <title>Payers Enter the AI-and-Access Era</title>
      <link>https://azisdabas.com/insights/payers-enter-the-ai-and-access-era/</link>
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      <pubDate>Mon, 27 Apr 2026 00:00:00 GMT</pubDate>
      <description>An operator note on why managed care, prior authorization, AI infrastructure, access, and specialty-drug pressure are becoming one commercial cycle.</description>
    </item>
    <item>
      <title>The Orchestration Imperative</title>
      <link>https://azisdabas.com/insights/the-orchestration-imperative/</link>
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      <pubDate>Tue, 10 Mar 2026 00:00:00 GMT</pubDate>
      <description>An operator note on why value-based care, digital health, and interoperability only matter when they become one care-delivery and reimbursement system.</description>
    </item>
    <item>
      <title>CMS ACCESS Model and New York Healthcare</title>
      <link>https://azisdabas.com/insights/cms-access-model-new-york-healthcare/</link>
      <guid isPermaLink="true">https://azisdabas.com/insights/cms-access-model-new-york-healthcare/</guid>
      <pubDate>Tue, 06 Jan 2026 00:00:00 GMT</pubDate>
      <description>An operator note on how CMS payment model signal, chronic care, and New York market structure create a commercialization question.</description>
    </item>
    <item>
      <title>Why New York Hospitals Are Building Digital Twins</title>
      <link>https://azisdabas.com/insights/new-york-hospitals-digital-twins/</link>
      <guid isPermaLink="true">https://azisdabas.com/insights/new-york-hospitals-digital-twins/</guid>
      <pubDate>Sat, 22 Nov 2025 00:00:00 GMT</pubDate>
      <description>An operator note on digital twins, proactive monitoring, SDOH, hospital operations, and the interface layer between AI and care delivery.</description>
    </item>
    <item>
      <title>Game Theory, AI, Machine Learning, and LLMs</title>
      <link>https://azisdabas.com/insights/game-theory-ai-llms-strategy/</link>
      <guid isPermaLink="true">https://azisdabas.com/insights/game-theory-ai-llms-strategy/</guid>
      <pubDate>Thu, 25 Sep 2025 00:00:00 GMT</pubDate>
      <description>An operator note on game theory, AI, machine learning, LLMs, incentives, and strategic behavior inside complex systems.</description>
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