Douglas Bachelor

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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In life sciences M&A, digital integration is critical to unlocking value and achieving synergy. ZS’s Digital & Technology practice brings structure to this complex journey through our City Planning framework—aligning capabilities, systems, and data across merging entities. By using our domain knowledge, capability maps and objective evaluation tools, we help clients cut through organizational bias and accelerate integration, cost optimization with clarity and confidence. Thanks to co-authors Shreekant Agrawal, Saket Bhanawat.

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Inductive EDC is accelerating the development of life-saving therapies and enhancing patient outcomes. We've also developed new products that help automate protocol creation, utilize AI to a streamline site selection, and more. And regardless of size but especially if you're a small to mid-size pharma, biotech, or CRO interested in cost-effective solutions as you begin to scale up, reach out to learn how we're helping others.

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🚨 Medicaid Information Technology Architecture 4.0 Is Coming: Are You Ready for the Next Wave of Medicaid Modernization? 🏛️CMS is modernizing the Medicaid Information Technology Architecture (MITA) framework—and MITA 4.0 is shaping up to be a game-changer. 🔍 What’s Changing? MITA 4.0 moves beyond static frameworks to embrace: TOGAF-based architecture modeling Modular, service-oriented design Built-in FHIR support & interoperability standards Streamlined APD templates for faster CMS approvals Automated tools to reduce state burden 🆚 MITA 3.0 vs. 4.0? The shift is real: ❌ From PDF-based self-assessments to 🔄 automated maturity alignment ❌ From vague standards to 🔧 specific FHIR profiles & API guidance ❌ From custom approaches to 📋 standardized funding templates (e.g., MES APD, OAPD, AOA) 🗓️ When? Key working groups kicked off in 2023. Drafts were shared at MESC 2024. Full release likely by late 2024 or 2025. 🛠️ New Mandates Coming Expect FHIR-based prior authorization, modularization requirements, and seven CMS-standard APD artifacts. The goal: reduce cost and duplication, and build reusable components across Medicaid Enterprise Systems. 🔗 Where to Learn More? MITA GitHub: cmsgov.github.io CMS & Medicaid.gov BerryDunn blog: Helpful updates on APD templates and what states need to prepare Or email: MITAGovBoard@cms.hhs.gov 📣 Bottom Line: MITA 4.0 isn’t just an update—it’s a strategic pivot. States that align early will see faster funding, better interoperability, and a clearer path to transformation. #MITA4 #MedicaidModernization #CMS #DigitalHealth #FHIR #TOGAF #EnterpriseArchitecture #StateIT #HealthIT #Interoperability #APD #GovernmentTech #PublicSectorInnovation #HHS #DepartmentofHumanServices #CAliforniaDHCS #MES #GovTech #PublicSectorInnovation #DigitalGovernment #StateIT #CloudForGood #CIO #HealthEquity Chief Architect Network Chief AI Officer Exchange Chief Architect Forum National Association of State Chief Information Officers (NASCIO)

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Am sure this will be good use of time for those interested in the advancement of AI usage in Lifesciences

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Our own EVP, Chief Scientist & Head of Enterprise AI Prem Natarajan recently spoke to TechTarget about Capital One’s partnership with the National Science Foundation (NSF), which will help launch five new National AI Research Institutes to drive breakthroughs in high-impact areas across society like material and computational sciences, economics, and mental health. https://bit.ly/46fLI5I

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Aditya Narayan and I are proud to share a Health Affairs Scholar piece on CMMI's new ACCESS payment model. ACCESS will pay for care delivered by AI (with or without a clinician) for Medicare patients. This is the first time ever Medicare will pay for care without a person in the loop. It is for chronic-disease management: recurring, condition-specific payments tied to clinical improvement, rather than billing for discrete encounters or tightly defined remote-monitoring activities. The promise is straightforward, more reimbursement for technology-enabled longitudinal care and more choice and competition for patient care. It could lead to lots of startup and innovation. It could also lead to lots of hard to cancel subscriptions and FWA. There are still many unanswered questions about payment levels, how quality is measured, how risk is adjusted, and how these patients’ facing technology enabled services will coordinate care with the traditional delivery systems. https://lnkd.in/grDfXDH5

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