Miral Patel

The challenge isn't just automating pre-authorization, it is building systems that understand clinical context, regulatory nuance, and patient urgency simultaneously. That is where agentic AI architectures make the difference. When we talk about "empowering clinicians to act faster," we are really talking about intelligent orchestration: AI agents that can reason across policy documents, clinical guidelines, and member data in real-time, then route decisions to the right stakeholders with full transparency. This is the future we are building across our Healthcare Payer systems that don't just process faster, but think smarter. Worth watching for anyone working at the intersection of AI and healthcare operations. Valuable insights Babu Dhandapani #HealthcareAI #AgenticAI #HealthTech #citiusTech #Knewron

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How did we used Domain Driven Design  concept to break down our monolithic system into bounded contexts, and modernize it into cloud-based microservices? Also, how did we implement the bubble context architecture pattern? Read our Engineering Technical blog Credits : Danish Garg https://lnkd.in/dhPSDf4V

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Oracle Health’s next generation EHR is now certified and ready for adoption by ambulatory customers in the U.S. With AI embedded in every layer and workflow, read why this is a turning point for the healthcare industry. https://lnkd.in/gYQ3d_fD

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Moving from "Digital-First" to "Intelligence-Sovereignty" 🇮🇳 The Union Budget 2026 isn't just a fiscal document; it’s a blueprint for India’s role as the world’s "Intelligence Backbone." Three strategic shifts stood out to me from yesterday’s announcements that every technology leader should be watching: 1️⃣ Compute as Capital: By reframing infrastructure this way, the government is signaling that AI capacity is now a national strategic asset, much like power or water. The tax holiday until 2047 for global cloud giants is a massive incentive for building "Sovereign-Ready" tech on Indian soil. 2️⃣ ISM 2.0 & Full-Stack IP: We are moving beyond just assembling chips. The shift toward producing equipment, materials, and domestic IP (India Semiconductor Mission 2.0) means India is aiming to own the entire value chain—not just the consumption of it. 3️⃣ The "Public Infrastructure" Bet: From 'Bharat-VISTAAR' in agriculture to the new AI Content Labs in schools, the focus is on population-scale impact. We aren't just building AI for the elite; we are building it for the last mile. My Take: For those of us architecting enterprise systems, the mandate is clear: The "Wait and See" era of AI is over. The focus must now shift from experimental pilots to building High-Trust, Logic-Driven systems that respect local data dignity while driving real economic ROI. India isn't just participating in the AI race anymore—we are setting the rules of the track. What part of the #Budget2026 tech push are you most excited (or concerned) about? Let’s discuss below. 👇 #UnionBudget2026 #IntelligenceSovereignty #AILeadership #DigitalIndia #TechStrategy #ViksitBharat

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🏥 Automated Prior Authorization with AI Agents — From 3 Days to 4 Hours We recently deployed an autonomous multi-agent system that handles prior authorizations end-to-end — reading clinical notes, validating payer rules, and submitting requests without human intervention.   🚨 The Problem Prior authorization was exhausting our clinicians:   • 72-hour average turnaround   • Manual policy lookup across 50+ payers   • 31% denial rate → constant resubmissions This wasn’t just inefficiency — it was lost clinical time and delayed care.   🤖 The Solution: Multi-Agent Architecture 📄 Document Ingestion Azure Document Intelligence converts clinical notes → structured FHIR resources (observations, conditions, medications) 🧠 Policy Intelligence (RAG Pipeline)   • Coverage policies embedded in Weaviate   • Hybrid search:   • BM25 → exact policy matching   • Vector similarity → semantic understanding   • Nightly payer updates via Playwright automation   🧩 Agent Orchestration (LangGraph) Four specialized agents collaborate:   • Clinical Context Agent — interprets patient FHIR data   • Policy Matching Agent — retrieves coverage criteria   • Gap Analysis Agent — identifies missing documentation   • Submission Agent — submits to payer portals/APIs   🔧 Agent Tools (via MCP)   • Custom FHIR MCP server (Epic / Cerner integration)   • ICD-10 / CPT validation lookup   • Payer portal automation (Playwright)   • Attestation document generation   🧬 Reasoning Layer Claude Sonnet performs clinical reasoning:   • Understands medical necessity   • Interprets payer language   • Maps findings → coverage criteria ⚙️ Workflow Orchestration Prefect manages scheduling, retries, and SLAs   🔒 Compliance & Explainability Every agent decision is written to an immutable audit log with reasoning — supporting HIPAA compliance and clinical transparency.   📊 Results After 6 Months ✅ 94% auto-approval rate (up from 69%) ✅ 31% reduction in denials ✅ 4-hour turnaround (down from 72 hours) ✅ Clinicians regained 15 hours/week   🧰 Tech Stack LangGraph • Claude Sonnet 4 • Weaviate • Azure Document Intelligence • Prefect • Playwright • Custom MCP servers (FHIR & coding)   💡 Key Insight Prior authorization isn’t a document processing problem. It’s a multi-step reasoning problem across clinical context, policy rules, and workflows. Single models struggle. Multi-agent systems with domain-specific tools succeed. #GenAI #SRE #IncidentResponse #PagerDuty #LangGraph #LLMOps #PlatformEngineering #AIEngineering #Observability #SARSoftwareInc    Learn more about our Success:   https://lnkd.in/e7N3Xgew Learn more about our expertise: https://lnkd.in/db_Mzi96   

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💼 Layoffs don’t define your worth — they redefine your direction. In my latest episode of 🎙️ Aapki Didi Podcast, I talk about the real emotions behind job cuts, how to reset your mindset, and practical steps to rebuild confidence and career momentum. 🎧 Episode: Career Comebacks: From Layoffs to Liftoffs! https://bit.ly/4oAIS2X #AapkiDidipodcast #CareerResilience #Layoffs2025 #ProfessionalGrowth #MindsetShift #Podcast #careerbreak

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In a pivotal moment amid challenges like workforce strain and data overload, advanced technologies like generative AI and agentic AI can offer unprecedented potential to transform how health is managed and health care is delivered. AI has the potential to enhance the health landscape—personalizing patient journeys, augmenting clinicians to reduce burden, and optimizing therapeutics from discovery to delivery. The article paints a compelling picture of AI's potential to significantly improve health outcomes globally. By addressing critical challenges within the healthcare system, empowering individuals to manage their own health, and accelerating scientific discovery, AI is positioned as a key driver for a more efficient, equitable, and personalised health future. The emphasis on responsible deployment, collaboration, and building trust underscores the importance of a thoughtful and ethical approach to integrating these powerful technologies into the sensitive domain of health care. https://lnkd.in/gfunGvzD Moe A. Mitesh Agarwal Kiran Kumar Kesavarapu Andreas Neidhart-Lau Asif Saleem Sachin Bhat

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Clinical AI Agent’s EHR integration was repeatedly cited as its biggest strength. Users said the tool generates notes quickly and is deeply embedded into Oracle Health’s EHR, eliminating the need for interfaces, special licenses or bolt-on workflows. Respondents selected the product largely for its native EHR integration, workflow fit, and flexible payment structure.

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Global capability centers (GCCs) have evolved to become value creators to their enterprise and are delivering diversified and significant returns in terms of GDP, taxation, and employment at scale. In this Business Today article on the evolution of GCCs, Uma Ratnam Krishnan, Managing Director of Optum India, highlights the various factors that are propelling the GCC growth momentum around the world and more specifically, in India. http://spr.ly/6043NiVy5

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