Sam Nalla

Closing 2025 with Perspective, Purpose & Possibility This year has been a powerful reminder that transformation leadership is about orchestrating change with clarity and courage. The pace of innovation continues to accelerate, with technologies like Generative AI, Agentic and intelligent systems reshaping how we deliver value, especially in healthcare and life sciences where outcomes matter most. From my vantage point, several themes have crystallized this year: Strategic Intent Matters Most Innovation must be anchored in clear outcomes. AI, automation, and next-gen technologies unlock value when tied to business goals and patient-centric results. Leadership as a Force Multiplier True transformation happens when leaders empower teams to adapt, learn, and innovate together, fostering an environment where people feel supported to lead and grow. Responsible, Scalable AI Adoption In healthcare, where trust is essential, governance, transparency, and ethical use of AI are foundational to meaningful adoption and impact. Healthcare’s Data Advantage Digital platforms and advanced analytics are enabling us to accelerate insights and improve care decisions, from predictive population health to integrated, data-led care pathways. Importantly, at @QuestDiagnostics, we are actively embracing these themes, helping transform capabilities, strengthen outcomes, and support the broader mission of advancing care. This is compellingly real in precision oncology. Innovations like Haystack MRD™ from @QuestDiagnostics are helping transform cancer care by enabling earlier, more confident clinical decisions through highly sensitive ctDNA detection. It’s a powerful example of technology directly supporting better patient outcomes. I’m proud to be aligned with a vision that champions innovation and operational excellence. A heartfelt thank you to my incredible team, your resilience and dedication are the foundation of everything we achieve. To my colleagues, partners, and broader network, thank you for the collaboration and inspiration.  Here’s to a new year of meaningful impact, resilient leadership, and opportunity realized. Happy New Year All!! #DigitalTransformation #Leadership #HealthcareInnovation #AI #GenAI #LifeSciences #PrecisionMedicine #Oncology #HaystackMRD #QuestDiagnostics #HealthcareIT #FutureOfHealth #InnovationLeadership #AIInHealthcare

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To simplify and enhance medical device connectivity across health systems, Oracle has launched the Oracle Health Device Validation Program in the U.S. Learn how this new framework can promote reliable, scalable device connectivity. https://lnkd.in/eBrxSAaC

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Oracle Health just dropped a from-scratch, AI-driven, voice-first EHR for ambulatory care — not an upgrade, not a patch — a full rebuild on Oracle Cloud. This move raises two big questions: - Can Oracle keep its current customers from jumping ship? - Will targeting ambulatory care & smaller hospitals (vs. large AMCs) prove a smarter entry point — especially when bundling EMR + ERP?

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Introducing Banterop: Testbed for Language-First Interoperability :-) We've historically advanced healthcare interoperability by defining structured data models and workflow-anchored API transactions. This approach struggles with the long tail of diverse healthcare interactions (and if we're being honest: also struggles with the center of the distribution). What if, instead of pre-defining every detail, we could enable systems to negotiate requirements and share knowledge to get jobs done in real time? This is the core question behind "Language-First Interoperability" (LFI). At the upcoming HL7 Connectathon in Pittsburgh, Mark Kramer and I are excited to bring this concept into the HL7 community for early-stage, hands-on testing. This track has an exploratory spirit, reminiscent of the early days of FHIR. We're not bringing a finished solution; we're bringing a hypothesis and a set of open questions that we hope to explore with the community. What are the common failure modes of agent-to-agent conversations? How do we ensure reliability? What are the right patterns for grounding agentic interactions in high-quality data and user preferences? We expect challenges and failures, and that's precisely what will make the track a success -- because we will learn from them. To facilitate exploration, I've developed Banterop: an open reference platform and testbed. For background, see this intro video: https://lnkd.in/gfHVBsx4? The platform's scenarios focus on common, information-asymmetric interactions where one agent has deep knowledge of a patient's clinical history and the other holds the rules, policies, or eligibility criteria for a specific process. Think of a clinician's agent interacting with an agent for a payer, a clinical trial, or a public health registry. The goal is to lower the barrier to entry, allowing participants to bring their own technology (whether it's a client or a server, using Agent-to-Agent or Model Context Protocols) and immediately begin testing against a simulated counterpart to see how they negotiate a path to a decision. This is an experiment in building more adaptable and intelligent health IT infrastructure. If you're interested in the intersection of LLMs, interoperability, and real-world healthcare processes, come and roll up your sleeves! ## Learn more and get involved: Connectathon Track Details: https://lnkd.in/g-cnk4U9 Intro to Banterop Platform: https://lnkd.in/giGFgEgJ

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88% of patient referrals are still booked manually. Only 35% ever become closed-loop referrals today. This is a massive level of inefficiency & referral leakage that is simply accepted as the norm, today. Not for long… Intake, referrals & scheduling are being permanently disrupted by agentic automation technology. Had such a great time Becker's Healthcare in Chicago, discussing the hottest trends within healthcare tech for providers! #healthcare #referrals #rcm

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Midland Memorial Hospital is using Oracle Health technology to boost key documentation rates, surpassing their goals in just six months. Read how this collaboration is enhancing palliative care quality in West Texas. https://lnkd.in/gGzrTA2g

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This video by @InterSystems introduces the OMOP Platform, a new service by InterSystems designed to support researchers by transforming EHR data into the OMOP format. 👉 https://lnkd.in/gAq42nhm The platform features a FHIR-to-OMOP transformation pipeline and an OMOP repository hosted on #InterSystems #IRIS Cloud #SQL.

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Oracle (Cerner) falls even further behind Epic, and its new AI-powered EHR is only going to make things worse for them. Yesterday, a new KLAS report dropped an expected bombshell: Oracle Health lost 57 hospitals in 3 years as clients fled to other platforms (mostly to Epic). Meanwhile, Epic has surged ahead, now serving 42% of U.S. acute-care hospitals (nearly double Oracle’s 23%). Oracle is betting on a new AI-powered EHR (whatever that means) to regain ground. But here’s the reality: healthcare isn’t a bleeding-edge industry when it comes to tech adoption. Doctors and patients are cautious. At Callen-Lorde, when we rolled out Abridge’s AI scribe, we had some providers opt out, not because it didn’t work, but because they weren’t comfortable with AI in their exam rooms. Some patients and staff also voiced concerns. In an LGBTQ+ community where many have experienced trauma and are also highly informed, that skepticism is totally understandable even if I don’t fully agree with it. This isn’t just Oracle’s challenge, it’s every healthtech innovator’s. The question isn’t “Can AI do it?” but “Will patients and providers trust it enough to use it?” This Epic-versus-Oracle saga is also a litmus test for digital health innovation and trust. If a tech giant like Oracle can stumble after a $28B bet on Cerner, what does it say about the future of big tech in healthcare? https://lnkd.in/gamejC48

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𝐏𝐚𝐫𝐚𝐝𝐢𝐠𝐦 𝐒𝐡𝐢𝐟𝐭: 𝐅𝐫𝐨𝐦 𝐀𝐮𝐭𝐨𝐫𝐞𝐠𝐫𝐞𝐬𝐬𝐢𝐨𝐧 𝐭𝐨 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐑𝐞𝐚𝐬𝐨𝐧𝐢𝐧𝐠: The latest release of 𝐆𝐨𝐨𝐠𝐥𝐞’𝐬 𝐆𝐞𝐦𝐢𝐧𝐢 3 𝐏𝐫𝐨 and the 𝐆𝐨𝐨𝐠𝐥𝐞'𝐬 𝐀𝐧𝐭𝐢𝐠𝐫𝐚𝐯𝐢𝐭𝐲 development platform represents a critical inflection point in artificial intelligence. We are witnessing a definitive phase transition from the era of Stochastic Parrots and chat-based assistance to the era of Agentic Workflows. While Gemini 3 Pro introduces a "𝐏𝐚𝐫𝐚𝐥𝐥𝐞𝐥 𝐑𝐞𝐚𝐬𝐨𝐧𝐢𝐧𝐠" architecture that statistically outperforms peers like GPT-5.1 and Claude 4.5 Sonnet in abstract mathematics, the ecosystem remains in a nascent, beta stage. 𝐓𝐡𝐞 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞: 𝐈𝐧𝐟𝐞𝐫𝐞𝐧𝐜𝐞-𝐓𝐢𝐦𝐞 𝐂𝐨𝐦𝐩𝐮𝐭𝐞 & "𝐃𝐞𝐞𝐩 𝐓𝐡𝐢𝐧𝐤": Gemini 3 Pro abandons the brute-force scaling laws of the past—which relied solely on parameter count and corpus size—in favor of optimizing inference-time compute. This architecture addresses the inherent fragility of linear processing in LLMs. Beyond 𝐂𝐡𝐚𝐢𝐧-𝐨𝐟-𝐓𝐡𝐨𝐮𝐠𝐡𝐭 (𝐂𝐨𝐓): Traditional CoT is linear and brittle; a single hallucination upstream propagates strictly downstream, causing "reasoning meltdowns." 𝐓𝐫𝐞𝐞-𝐨𝐟-𝐓𝐡𝐨𝐮𝐠𝐡𝐭𝐬 Implementation: The proprietary "Deep Think" mode utilizes a recursive, non-linear search strategy akin to Monte Carlo Tree Search (MCTS). This allows the model to explore multiple reasoning branches, prune incorrect logic, and backtrack before finalizing an output. 𝐌𝐮𝐥𝐭𝐢𝐦𝐨𝐝𝐚𝐥 𝐍𝐚𝐭𝐢𝐯𝐢𝐬𝐦: Trained natively on video, audio, and text, the model exhibits what Google colloquially terms "Vibe Coding." This is essentially high-fidelity multimodal semantic alignment, where the model ingests visual inputs (UI screenshots, video streams) to infer functional requirements rather than relying solely on syntax. 𝐓𝐡𝐞 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦: 𝐆𝐨𝐨𝐠𝐥𝐞 𝐀𝐧𝐭𝐢𝐠𝐫𝐚𝐯𝐢𝐭𝐲 If Gemini 3 Pro is the 𝐜𝐨𝐦𝐩𝐮𝐭𝐞 𝐞𝐧𝐠𝐢𝐧𝐞, Antigravity is the 𝐜𝐨𝐧𝐭𝐫𝐨𝐥 𝐩𝐥𝐚𝐧𝐞. Forked from VS Code, this IDE signals an ontological shift in software engineering: The Inversion of Control: Current tools (Cursor, GitHub Copilot) function as navigators, offering autocomplete suggestions while the human drives. Antigravity inverts this. The AI becomes the driver (Agent), and the human assumes the role of reviewer or architect. 𝐀𝐠𝐞𝐧𝐭-𝐅𝐢𝐫𝐬𝐭 𝐃𝐞𝐬𝐢𝐠𝐧: This is not merely a rebranding of existing tools; it is an environment designed to support autonomous, multi-step agentic loops rather than simple code completion. Artificial Intelligence Institute of South Carolina

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Healthcare is transforming at a scale never seen before and technology is at the epicenter. But technology alone doesn’t transform companies, alignment across leadership does! Healthcare organizations that are able to scale and manage regulatory complexity while meeting patients’ rising expectations know IT is more than an operational expense. IT partners with the business to drive your vision into scalable, lasting results. Transformation happens when C-suite barriers are dismantled and we approach challenges from clinical, operational, financial, compliance and technology angles together. By including technology leaders in the conversation from day one, we can architect solutions that are thoughtful, secure, efficient and patient-centric from the ground up. This level of collaboration enables healthcare organizations to: • Accelerate program and service line growth through scalable digital capabilities • Strengthen data-driven decision-making across the enterprise • Enhance patient and provider experiences through thoughtful workflow design • Reduce organizational risk while maintaining regulatory and security integrity • Maximize the value and longevity of technology investments The link between how leaders work together and the outcomes our patients experience has never been clearer. From strategy to operations to digital transformation, everything we do impacts how care is delivered, how patients perceive us and how we serve our communities. Enterprises leading healthcare’s future will put technology at the forefront-as a pillar of enterprise strategy rather than a support service. Empowered by unified leadership, operations and technology, healthcare organizations will be able to drive meaningful, measurable, and sustainable outcomes. #HealthcareLeadership #DigitalHealth #HealthIT #EnterpriseStrategy #PatientOutcomes #HealthcareTransformation

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