Madhu N.

Healthcare runs on hybrid cloud, SaaS, and third party networks. When visibility stops at the edge, patient care is at risk. AppNeta by Broadcom delivers end to end observability from the clinician and patient perspective, helping IT teams detect degradation before it impacts EHR and telehealth. See how healthcare organizations can move from reactive troubleshooting to proactive assurance. https://lnkd.in/eSj6zPC6

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Oracle Health's new AI-native EHR is now “available” to ambulatory providers, with their AI hospital EHR coming out in 2026. My 4 thoughts… First, the cliff notes on the announcement: → A push for “voice-first” where clinicians can retrieve patient data by just verbally asking: “What meds is this patient on?” → Smart AI assistants to surface patient summaries, clinical insights, evidence-based guidelines, clinical trial opportunities, etc. → Built on Oracle Cloud Infrastructure (OCI) → “Open” - meaning that health systems can use Oracle’s AI agents, build their own agents or integrate with third parties → Note: Certification is pending final regulatory approval - not yet in production Now onto my 4 thoughts (or speculations): 1️⃣ The No. 1 goal is to motivate health systems to move to Oracle Cloud Infrastructure I don’t know how much Oracle truly cares about the EHR, but they’d love everyone to be on OCI - regardless of what systems sit on top of it. The healthcare cloud market will grow to $200B in 10 years and Oracle wants a big chunk of that. 2️⃣ The No. 2 goal is to maximize customer retention - by being competitive on AI for the clinician UI/UX to minimize churn. Epic’s been testing 100+ AI use cases in the EHR with health systems over the past year, so just to stay in lock step, Oracle needed to release something beyond the Digital Assistant and add more clinical value. 3️⃣ Voice has so many exciting use cases, but it’s not going to be enough to leap frog the competition. I think many people actually underestimate how much faster they could operate if they did things more by voice and less by text. Many of us don’t do “voice messages” or use the mic to write texts… but as someone who has started to try it, it’s WAY faster. For Oracle to make voice a killer feature, they not only have to make the tool available, they have to truly evangelize its use. BUT… it’s going to be table stakes. They need something much bigger to win back customers, especially the big AMCs. 4️⃣ Despite the messaging around an “open” system, I suspect the push for Oracle’s own AI assistants / agents will be prioritized over making it third party friendly - BUT I think flipping this and demonstrating true openness is an advantage Oracle should grab. There’s a reason why third party AI scribes have flourished with Epic health systems, and I can’t name a single health system on Oracle that’s using one of those third parties (I’m sure there are exceptions but they are clearly rare) So I think health systems will want Oracle Health to prove the openness is truly there. And they SHOULD… because that’s a way to compete with Epic whose own customers often raise concerns isn’t as open as it should be. The problem, of course, is that being “open” and maintaining so many integrations with third parties is a LOT of work… fair. Providing their own MCP endpoint and making it easier for third-party Agents to connect makes this possible. What do you think?

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How can a country of 1.4 billion people lead the way in digital healthcare transformation? In my recent article for CXOtoday, I explored how India, despite its size and healthcare challenges, is quietly leading a digital health revolution. From the Ayushman Bharat Digital Mission and interoperable EHRs to the integration of AI in diagnostics, India is proving that resource constraints can coexist with scalable innovation when public intent, policy, and infrastructure align. This transformation is about building trust, inclusion, and resilience in healthcare systems. ✅ Build open and interoperable public digital infrastructure ✅ Design with diversity and accessibility at the core ✅ Balance innovation with strong governance and privacy frameworks ✅ Invest in both human capital and ethical AI India is not just digitising healthcare—it’s humanising it, and a smart, inclusive health system is happening now. #triotree #digitalhealth #healthcareinnovation #aiinhealthcare #healthtech #digitaltransformation

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Healthcare AI is shifting from scripted automation to autonomous agents embedded in clinical workflows. That's not hype — it's a 44% CAGR market racing to $7B by 2030. The winners won't just automate tasks. They'll augment clinicians at the point of care. https://lnkd.in/gMiZZKU5

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For healthcare payers like Blue Shield of California, #AI is the engine driving a more proactive and empathetic health journey. From the first call to long-term care, Microsoft AI empowers Blue Shield to better analyze contact center data to review quality and resolution rates, develop personalized onboarding experiences, and create unified health records that close care gaps. In short: it gives employees the tools to more effectively serve patients.   Christine McKinney, VP of Customer Experience and Digital Transformation at Blue Shield of California (Oakland), shared, “The beauty is that technology is going to help get us there. But you’re still going to need that human centered approach to make sure that you’re still delivering it in a way that’s very meaningful to the member.”   We’re excited to see the future of our collaboration. Learn more about how we’re empowering a human-centric approach with Blue Shield of California. https://lnkd.in/eVQ5pcQw   @Kim Swafford

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In healthcare, human connection is often as critical as clinical skill -- especially in high-stakes conversations with patients, families, or staff. In my new thought leadership piece for SmartBrief, I explore how immersive AI-powered roleplay is emerging as a new training tool to help healthcare professionals build empathy, improve communication, and reduce burnout. It’s a timely solution for a growing challenge, and one I believe holds great promise. Thank you to SmartBrief and Douglas Harris for shining a light on this important topic. Please be sure to read the full article here: https://lnkd.in/eJcAW2HQ #HealthcareInnovation #AI #ImmersiveLearning #HealthTech

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For healthcare delivery organizations building out AI governance, it can be dizzying trying to read through all of the different frameworks that various organizations have created. This team synthesized all of the major frameworks into one so that you don’t have to. (From: Alifia Hasan Noah Prizant Jee Young Kim, PhD Shreya Rao David Vidal Keo Shaw Danny Tobey, M.D., J.D. Alexandra Valladares Shira Zilberstein Manesh Patel, MD Suresh Balu Mark Sendak Mark Lifson ) https://lnkd.in/gZMsiyRj

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What to Look for in Your Next EMR Selecting a new EMR? Here are must-have capabilities for a smoother transition and long-term success: · End-to-end clinical workflows · Interoperability · Advanced reporting and analytics · Scalable, cloud-ready architecture · User-friendly design · Reliable vendor support Don’t just replace your system, upgrade your future. #EMR #HealthcareIT #CPSItransition #RCM #HealthTech

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🚀 MCP is spreading like fire and catching up with FHIR! 🔥 As the Model Context Protocol (MCP) rapidly gains traction in the LLM ecosystem, many are eager to see these capabilities integrated directly into EHRs. While we’re hopeful that MCP-native features will become standard within EHR platforms, the good news is that we don’t have to wait. Thanks to SMART on FHIR, we can build apps today that launch either within the EHR ("EHR Launch") or as standalone apps. Regardless of how the app is launched, it obtains: • An access token (with scoped permissions), and • A clinical context, such as the selected patient. This can be preserved and propagated downstream into the MCP flow, enabling highly relevant, secure, and controlled interactions with FHIR resources and other tools. Below is a simplified draft of the sequence diagram to illustrate the conceptual flow for 𝗠𝗼𝗱𝗲𝗹 𝗖𝗼𝗻𝘁𝗲𝘅𝘁 𝗣𝗿𝗼𝘁𝗼𝗰𝗼𝗹 (𝗠𝗖𝗣) in action, bridging an EHR-integrated app, LLM, and external tools like FHIR APIs. It's meant to show the high-level interactions, but not all accurate technical details are covered. Feedback is welcome! One of the most common misconceptions about MCP is the belief that LLMs directly invoke external tools. It's essential to note that the app in the flow below (the Host with a client in MCP terminology) is always in charge. 🔄 𝗛𝗼𝘄 𝘁𝗵𝗲 𝗙𝗹𝗼𝘄 𝗪𝗼𝗿𝗸𝘀 (𝗜𝗻 𝗮 𝗡𝘂𝘁𝘀𝗵𝗲𝗹𝗹): 1. The app obtains the token using SMART for the FHIR flow. 2. 𝗧𝗵𝗲 𝗔𝗽𝗽 starts by requesting available tools from the 𝗠𝗖𝗣 𝗦𝗲𝗿𝘃𝗲𝗿 3. It then sends the user’s prompt and tools metadata to the 𝗟𝗟𝗠, which decides whether a tool is needed to answer the query. 4. If tool usage is required, 𝘁𝗵𝗲 𝗔𝗽𝗽, 𝗻𝗼𝘁 𝘁𝗵𝗲 𝗟𝗟𝗠, 𝗲𝘅𝗲𝗰𝘂𝘁𝗲𝘀 𝘁𝗵𝗲 𝘁𝗼𝗼𝗹 𝗰𝗮𝗹𝗹 by asking the MCP Server to retrieve data (e.g., from a FHIR Server). 5. The 𝗔𝗽𝗽 𝗿𝗲𝗰𝗲𝗶𝘃𝗲𝘀 𝘁𝗵𝗲 𝗿𝗲𝘀𝘂𝗹𝘁𝘀, passes them back to the LLM, and finally surfaces the LLM’s response to the user. ✅ The app holds the orchestration logic, user session, and access context. This clear separation of responsibilities ensures that the app: • maintains complete control and context, • operates within the user’s scope, • generates context-rich, accurate outputs from the LLM. This design preserves a high degree of control, security, and auditability. Note: This flow is designed to operate within a 𝘂𝘀𝗲𝗿 𝗰𝗼𝗻𝘁𝗲𝘅𝘁 and is ideal for interactive, point-of-care tasks. For use cases like population health, 𝗯𝗮𝗰𝗸𝗲𝗻𝗱 𝗦𝗠𝗔𝗥𝗧 𝗼𝗻 𝗙𝗛𝗜𝗥 𝗳𝗹𝗼𝘄𝘀 can be leveraged to support system-level operations differently. Topic for another post :) 🧠💬 We Darena Solutions | MeldRx are actively building and testing this with our own FHIR servers. If you’re exploring similar territory, I would love to compare notes, trade demos, or just geek out over the architecture! #FHIR #AIinHealthcare  

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Proud to lead some of these clinical AI agents development and deliveries. After deploying Oracle Health Clinical AI Agent, St. John's Health experienced a breakthrough in clinical productivity—including an average reduction in physician documentation time of 74%. https://lnkd.in/gSMzJAmb

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LLMs are moving fast into healthcare but deployment isn’t simple. In our new piece in the Journal of Clinical Medicine (JCM) MDPI, we outline five challenges that stand between promise and practice: Workflow misalignment Bias and equity Regulatory uncertainty Technical vulnerabilities Trust and human connection Mitigation strategies are emerging, but safe adoption will require more than technical fixes. It will take governance, oversight, and leadership that keeps patients at the center. Read the full article: https://lnkd.in/euFFHvEn Co-authors: Yaara Artsi, Vera Sorin, MD, CIIP, Ben Glicksberg, Panagiota Korisianos CPC, Girish Nadkarni, Eyal Klang What do you see as the biggest barrier or opportunity in deploying LLMs responsibly in care?

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A recent CHIME Foundation survey, sponsored by CliniComp, reveals strong support among #healthcare #CIOs for integrating AI to automate administrative tasks. Over 80% of health IT leaders prioritize AI automation, with 81% specifically targeting the reduction of administrative tasks to alleviate clinician burden. Furthermore, CIOs identify enhancing clinical decision support and improving revenue cycle management as other significant priorities for AI adoption, emphasizing the crucial role of AI in optimizing provider workflows and enhancing patient outcomes. The survey also indicates that nearly half of CIOs consider it extremely important to embed AI capabilities natively within their EHR systems, aiming to reduce reliance on third-party software. While many CIOs are already utilizing or evaluating AI tools, they continue to assess the most effective integration strategies. Overall, CIOs view AI as essential for enhancing data access, analysis, and driving innovation within the healthcare sector. What's Next? 👇 - The industry continues to move toward a consolidated EMR-centric model. The key question: Will this momentum persist, or will we see a return to best-of-breed systems focused on integration? - Embedding AI isn't a plug-and-play fix. Clinicians and staff must redesign their workflows to apply AI-driven insights and automation effectively. - Healthcare professionals must still think critically and validate AI recommendations before acting on them. - While we all recognize AI will transform healthcare operations, we must stay focused on critical thinking and reworking operational processes to make that transformation meaningful.

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New Podcast Alert, The Big Unlock ! Insightful conversation with Michael Marchant Director of Digital Applications, Sutter Health . Michael shares how interoperability and AI adoption are powering a more connected, intelligent healthcare ecosystem. He also discusses how health systems can optimize data exchange, the role of AI in enhancing care delivery, and Sutter Health’s approach to scaling digital transformation. The Big Unlock Podcast:https://lnkd.in/eAZam_YB #Interoperability #HealthcareAI #DigitalHealth #HealthIT #TheBigUnlock #Podcast #DataStrategy

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