Tom Lawry

Oracle Health announced plans to launch a next-generation EHR platform in 2025, incorporating advanced cloud and AI capabilities. This new EHR will feature Oracle's clinical AI agent, voice-activated navigation, and Health Data Intelligence, which integrates patient data from over 300 sources to enhance clinical workflows and improve patient outcomes. The platform aims to replace traditional EHRs, which often dictate rigid workflows, with a more dynamic system that allows for personalized care plans. Oracle Health emphasizes that the new EHR is a complete reinvention rather than an upgrade of the previous Cerner system. Additionally, Oracle plans to become a Qualified Health Information Network to facilitate standardized data sharing across the healthcare ecosystem. Executives at Oracle also unveiled new cloud applications to improve patient management and streamline front-office operations, reinforcing the company's commitment to enhancing healthcare accessibility and data utility while addressing interoperability challenges in the industry.

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Predictions for the Healthcare Analytics Space in 2025 Increased Integration Across Data Ecosystems As value-based care models continue to expand, seamless data integration across clinical, claims, and social determinants of health (SDOH) sources will become critical. Organizations will prioritize interoperability through networks like QHINs, Carequality, and CommonWell to create a unified patient view. Interoperability Will Become Non-Negotiable Regulatory and operational pressures will force healthcare organizations to embrace true interoperability, with frameworks like TEFCA, QHINs, and platforms like Carequality/CommonWell gaining momentum. Seamless data exchange will shift from a competitive edge to a baseline requirement. Shift from Retrospective to Predictive Analytics Organizations will move away from merely reporting past events and toward anticipating future risks, costs, and care needs. Predictive models will guide both operational efficiencies and patient care interventions. Demand for Transparent ROI Healthcare organizations will increasingly demand clear ROI from analytics investments, driven by financial pressures and accountability in value-based contracts. Solutions must demonstrate tangible outcomes like cost savings, care improvements, and enhanced risk stratification. Rise of Decentralized and Multi-Tenant Data Repositories As data ownership and governance become central, healthcare providers will adopt multi-tenant architectures to securely store and access aggregated data while maintaining control over proprietary information. AI and Machine Learning in Care Pathways(*) The use of AI to identify care gaps, optimize workflows, and automate routine tasks will grow exponentially. Providers will seek analytics solutions incorporating explainable AI to maintain trust and compliance. (*) Steep adoption curve Focus on SDOH for Equitable Healthcare Delivery Payers and providers will deepen their focus on SDOH to address health inequities. Analytics platforms will need to integrate SDOH data into actionable strategies for population health management. Emergence of Modular and Workflow-Specific Tools Comprehensive dashboards will give way to modular, workflow-specific tools that empower users to interact directly with data. These tools will emphasize usability and decision-making at the point of need. Partnerships Over Proprietary Solutions Collaboration between analytics providers and adjacent industries (e.g., tech, pharma, and public health) will drive innovation and adoption. Open ecosystems will gain traction over closed, proprietary platforms.

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Microsoft has introduced advanced AI capabilities for healthcare organizations through Microsoft Cloud for Healthcare. This includes AI models in Azure AI Studio, which facilitate the integration and analysis of diverse medical data types such as imaging, genomics, and clinical records. Additionally, Microsoft Fabric enhances healthcare data solutions, allowing organizations to harmonize various datasets and perform care management analytics. The healthcare agent service in Copilot Studio automates tasks like appointment scheduling, while an AI-driven nursing workflow solution streamlines documentation, ultimately improving patient care and operational efficiency.

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Learn about ethical and practical integration of AI, focusing on creating systems that improve patient care without compromising physician autonomy or patient privacy from speaker Jesse Ehrenfeld MD MPH at AIMed24. He advocates for responsible AI use that supports clinical decision-making, enhances patient safety, and alleviates administrative burdens on healthcare providers. #AIMed24

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🌟 Generative AI and Healthcare Transformation: A New Era of Innovation 🌟 I am constantly asked about #AI applications for healthcare transformation. I continue to take people back to the pain points or problems being solved. The healthcare industry is undergoing a significant transformation, driven by the integration of generative AI. This revolutionary technology is currently reshaping the way we approach care management, early disease detection, and administrative tasks. Early Benefits of Generative AI: Enhanced Care Management: AI serves as a "co-pilot" for healthcare professionals, assisting in managing patient care more efficiently and accurately. This leads to improved patient outcomes and more personalized care plans. Early Disease Detection: AI's ability to analyze vast amounts of unstructured data enables early identification of diseases, potentially saving lives and reducing healthcare costs. It's a game-changer in preventive healthcare. Reducing Clinician Burnout: By automating repetitive administrative tasks, AI allows clinicians to focus more on patient care. This not only improves job satisfaction but also enhances the quality of care provided. Affordability and Efficiency: AI-driven processes streamline operations, making healthcare more affordable and accessible. From optimizing workflows to reducing operational costs, AI is paving the way for a more sustainable healthcare system. Challenges and Considerations: Ethical and Legal Frameworks: Ensuring AI is used responsibly requires robust ethical, legal, and policy frameworks. Trustworthy AI adoption is crucial for patient safety and health equity. Technology Infrastructure: Organizations need to update their technology infrastructure, including cloud capabilities, to fully support AI implementation. As we embrace these advancements, it's essential to stay informed and engaged in the conversation about how AI can continue to transform healthcare for the better. #HealthcareTransformation #GenerativeAI #HealthTech #Innovation #AIinHealthcare Thanks to sources McKinsey & Company (https://lnkd.in/g7HZHEST) and MedCity News (https://lnkd.in/gi95t4qJ)

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As AI becomes more embedded in healthcare decisions, ensuring traceability from algorithmic decisions back to clear guidelines and submitted clinical evidence is critical. Recent findings on companies like EviCore reveal a disturbing gap where AI and algorithms drive treatment denials, often with little transparency. When decisions about patient care are delegated to AI, every outcome should be fully accountable—linking directly back to both the clinical guidelines and the evidence provided by the physician. For AI-driven decisions, transparency is not a nice-to-have; it’s essential. This traceability not only fosters trust among healthcare providers and patients but also ensures that cost savings don’t come at the expense of patient care or quality. As we advance AI in healthcare, let’s prioritize clear, traceable pathways that support both efficiency and patient-centered care. https://lnkd.in/gV-AP8j9 #HealthcareInnovation #AIEthics #PatientAdvocacy #HealthcareTransparency #PenguinAi #Healthcare #PriorAuth #Denials ProPublica Missy Krasner Peter Longo Kishore Ayyadevara

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Now that our HIT industry has spent nearly 40 years figuring out how to effectively pass data between sites, settings, and institutions of care (and while that journey isn't completely over, we're well on our way), we can finally turn and look farther down the road and consider what's next. In my view, advancing process consistency, agility, and change is that horizon. The BPM community is focused on that challenge, and having recently transitioned into HL7 as HL7 BPM, is squarely trying to take this on. With today's press release, HL7 is truly open-for-business in this space. Thanks to the OMG for nurturing this work along and for HL7 for having made our next home for this effort. So much to do! https://lnkd.in/dAF96g3n

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Oracle Health, which acquired Cerner two years ago, just announced the launch of a next-generation electronic health record (EHR) platform in 2025, showcasing the company's latest advancements in cloud technology and AI capabilities. I wrote down a few thoughts. 1️⃣ 𝐀𝐟𝐭𝐞𝐫 𝐭𝐰𝐨 𝐲𝐞𝐚𝐫𝐬 𝐢𝐧 𝐬𝐭𝐞𝐚𝐥𝐭𝐡 𝐦𝐨𝐝𝐞, 𝐭𝐡𝐞 𝐂𝐞𝐫𝐧𝐞𝐫 𝐚𝐜𝐪𝐮𝐢𝐬𝐢𝐭𝐢𝐨𝐧 𝐢𝐬 𝐟𝐢𝐧𝐚𝐥𝐥𝐲 𝐠𝐚𝐢𝐧𝐢𝐧𝐠 𝐟𝐮𝐥𝐥 𝐦𝐨𝐦𝐞𝐧𝐭𝐮𝐦. After the big acquisition, nothing seemed to be happening. I even started thinking it was a $28B flop and that Oracle was simply moving on. Oracle stressed that the new platform is not a "refurbished Cerner EHR," but a reinvention of a digital medical record system: "You can’t bolt new innovation onto something built in the 1990s". 2️⃣ 𝐒𝐚𝐦𝐞 𝐬𝐚𝐦𝐞 𝐛𝐮𝐭 𝐝𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐭 Even though the Tech is new, the philosophy remains the same. EHR incumbents will try to increase their (already too high) power in the hospital Tech stack. The solution won't come from incumbents. 3️⃣ 𝐌𝐨𝐫𝐞 𝐜𝐨𝐦𝐩𝐞𝐭𝐢𝐭𝐢𝐨𝐧 𝐟𝐨𝐫 𝐄𝐩𝐢𝐜 𝐢𝐬 𝐚𝐥𝐰𝐚𝐲𝐬 𝐠𝐨𝐨𝐝 𝐚𝐧𝐝 𝐎𝐫𝐚𝐜𝐥𝐞 𝐬𝐞𝐞𝐦𝐬 𝐭𝐨 𝐡𝐚𝐯𝐞 𝐠𝐨𝐨𝐝 𝐢𝐧𝐭𝐞𝐧𝐭𝐢𝐨𝐧𝐬 In May, an Oracle executive, Ken Glueck, executive vice president, wrote in a blog post that "Epic’s CEO Judy Faulkner is the single biggest obstacle to EHR interoperability." More pressure on Epic to open its system will always be a good thing. 4️⃣ 𝐖𝐞 𝐚𝐫𝐞 𝐞𝐧𝐭𝐞𝐫𝐢𝐧𝐠 𝐭𝐡𝐞 𝐩𝐨𝐬𝐭-𝐄𝐇𝐑 𝐞𝐫𝐚 As Tomaz Gornik, co-chair of OpenEHR (non-profit community interest organisation that aims to enable clinical healthcare to advance by better use of information and IT): "Today's solutions tightly couple data to applications. As health and care data is for life, it needs to outlive applications, so there is a clear need to separate them." The Catalonia region in Spain is a frontrunner and is setting new standards with its digital health strategy and new information system model based on openEHR. 5️⃣ 𝐇𝐨𝐬𝐩𝐢𝐭𝐚𝐥𝐬 𝐡𝐚𝐯𝐞 𝐚 𝐨𝐧𝐞-𝐨𝐟𝐟 𝐨𝐩𝐩𝐨𝐫𝐭𝐮𝐧𝐢𝐭𝐲 𝐭𝐨 𝐫𝐞𝐠𝐚𝐢𝐧 𝐜𝐨𝐧𝐭𝐫𝐨𝐥 Hospital executives need to understand the new tech dynamics and create an operating model that lets them stay in control, leverage the best technology, and keep it manageable to maintain (yes, not an easy task). In Germany, some innovative hospitals are making steps into the right direction: ➡️ A big private hospital chain is building its own EHR ➡️ Another hospital chain aims to use the patient portal as the backbone for designing digitally-enabled care journeys (on top of the EHR) ➡️ A public hospital chain is building a vendor neutral interoperability layer #hospital #ehr #epic #healthcare #healthtech

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🏥✨ For many years, technology investments made by health organizations were rarely a driving force behind strategic #transactions. Explore in my latest article with Sam Prescott how #generativeAI has changed the game for Health CIOs. A must-read for leaders at the forefront of change! https://lnkd.in/gRWmi5AH

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One key reason why healthcare technologies like AI, telemedicine, and software haven't structurally lowered costs or broadened access for the entire system after decades of experimentation (excluding pure financial engineering of payer contracts) is the limited reimagining of care delivery itself, with asynchronous telemedicine as a notable exception. In the same way that digitizing physical paper failed to exploit the capabilities of a new computing medium for word processing, hosting physician-patient conversations over video does not transform the actual delivery of care. In telemedicine, many of the inputs (e.g., clinician time) and therefore cost structures of in-person care persist, which is why we often see fee-for-service telemedicine companies struggle to achieve economies of scale (i.e., growing revenues non-linearly while growing costs linearly). Until we deconstruct the components of a medical appointment – from intake and triage, to chart review, history gathering, physical examination, diagnosis, treatment, and follow-up – we will continue to be underwhelmed by the disconnect between the transformative potential of these technologies and real-world patient/system impact. I’m optimistic that the emergence of reliable and performant medical AI agents will urge us to perform this deconstruction and redesign the fundamental building blocks of a “medical appointment.”

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Here’s your recap of last week’s health IT news 🗞️ 👇 🤖 AI Clinician Assistant • Avaamo launched an AI ambient scribe solution with support for over 50 specialties with pre-trained models. • Wound AI, an AI clinical decision support solution built by VANTIQ, Telemedicine Solutions, LLC, and NTT DATA, launched and is now available 📞 AI Contact Center • Premier Inc. awarded a group purchasing agreement to TeleVox Healthcare. 🏥 AI Facility Management • Medely has integrated with Oracle, allowing users to leverage Oracle’s Cloud HCM capabilities. 🌡️ AI Remote Patient Monitoring and Triage • The Alliance for Smart Healthcare Excellence—established by care.ai, now a part of Stryker, and developed with assistance from CHIME—was established to promote the Smart Hospital Maturity Model (SHMM). 📈 Data & Analytics • Epic expanded its set of APIs available to developers to support USCDI v3. • Health Catalyst will acquire Intraprise Health, a cybersecurity provider; it was also selected for analytics and interoperability by CyncHealth, Iowa’s health information exchange (HIE). • Health Commons Project acquired OneHealthPort • Socially Determined released a new application that helps organizations access data for minors. 🧾 Orders & Fulfillment • Surescripts is expanding its Medication History for Populations product to health plans, enabling care management teams to identify gaps in care and improve outcomes. 🧑‍💻 Virtual & At-Home Care • Mass General Brigham launched a partnership with the New England Center and Home for Veterans to provide hospital at home services for veterans experiencing homelessness. • MedStar Health expanded its partnership with DispatchHealth to support care transitions.    🍎 VBC • i2i Population Health is partnering with CureMD to surface actionable data to providers at the point of care. 🧠 Food For Thought • Brendan Keeler shared an interesting post differentiating AI solutions across augmentative vs. autonomous and then further breaking down each. One take we found interesting was, “Active interfaces are fun, but ultimately have some of the same problems as Siri - they require explicit engagement and cognitive overhead to use. This means their adoption and impact often fall short of expectations - users must actively remember to use them and overcome the friction of engagement.” https://lnkd.in/eR39qFpK --- Want the latest healthcare tech news delivered to your inbox each week? Sign up here 📬 👉 https://lnkd.in/e2UJ3ckP

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Large Language Model conversation... a doctor asking advice and sharing Intel with a machine, at the service of the patient. As medicine is a practice, not a science, the more data you get to forge an opinion/ a diagnosis, the best! #digitalhealth #ai #medtech

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What does the future hold for retail medicine and virtual care? Walmart is the latest to announce their health center closure. https://lnkd.in/geZpMTkS. This following Optum news, VillageMD closing in Nevada, Teladoc Health problems, etc. What comes next? This is another in a long line of examples that technology and even consumer willingness are not enough when the reimbursement environment does not support particular care models. Are we getting ready to lose all the lessons painfully learned during the pandemic? Or will new virtual care models emerge following this round of closures?

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Here’s your recap of last week’s health IT news 🏥 💻 🗞️ 👇 Product updates 👩🏼‍💻 • Augmedix announced public availability of Augmedix Go, their gen AI documentation product, for Emergency Departments.    • Forcura released AI referral summaries for the post-acute market.    • UTM Healthcare and FirstHx are teaming up to provide more robust medical histories.    • AI phone call tech company, Standard Practice, relaunched after pivoting from Nibble Health.    • Revenue cycle management platform, Ensemble Health Partners, is leveraging Microsoft Azure GenAI to enhance their service.    • MRO is extending its clinical data access tool to cover automatic retrieval of continuity of care requests.    • DrFirst, Inc. is partnering with PatchRx to improve medication adherence data. Notable partnerships 🤝 • Brigham and Women's Hospital partnered with FeelBetter to launch a study on the impact of their AI-based population health platform on polypharmacy patient management.    • Community Health Network selected Biofourmis for virtual and at-home care.    • Humana is extending its current use of prior authorizations platform, Cohere Health.    • Louisianan Community Health System deployed Retrieve Medical's Retrieve Dx Smart App to enhance documentation.    • Anne Arundel Dermatology will expand its current partnership with Relatient, adding Dash Schedule. Posts we enjoyed 👏 • Spencer Dorn’s reminder that more mature tech + good process is in many cases the better option than gen AI. (https://lnkd.in/eiK2DNfw) • Graham Walker, MD’s homegrown demo exploring the combination of clinically-informed text search + retrieval augmented generation (RAG) to enable better EHR note summaries. (https://lnkd.in/eDaqCh5H) --- Want to stay in the loop? Sign up for the Elion Briefing to get all of the latest healthcare tech news delivered to your inbox 📬 👉 https://bit.ly/49z6AUW

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InterSystems Healthcare Action Engine is an exciting innovation adding an invaluable tool to InterSystems offerings for digital transformation and FHIR. Like many InterSystems technologies, this one is unique and uniquely valuable.

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We’re incredibly proud of Lyric's Chief AI Officer, Akshay Sharma, who was recently included in a thought-provoking article from Healthcare IT Today! Akshay's thought leadership and valuable insights on AI integration in healthcare are paving the way for how our organization is, and will be helping our customers improve payment integrity and unlock new value through our 42 platform. Take a read. Akshay shares his thoughts on: • Patient Impact • Decision-Making • Bias Prevention • Data Security • Model Diversity And more.... #HealthcareIT #ResponsibleAI #HealthTech Lyric - Clarity in motion.

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There’s no question that AI is transforming healthcare, and understanding where industry leaders perceive opportunities is important. The latest research report from Arcadia is revealing. 63% of healthcare leaders say AI can analyze large patient data sets to identify trends and create population health intervention strategies 58% say AI can analyze individual patient data to identify opportunities to improve health outcomes 47% say AI can optimize the management and analysis of electronic health records Dive into the report to gain insights from top tech leaders and see where the industry is headed! https://lnkd.in/gf_wkWij

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I get Dr. Yang's concern about large, wealthier health systems adopting AI sooner than smaller, poorer organizations, but this is actually a good thing...unless your time horizon is myopically short. Big organizations, with much larger budgets and sophisticated IT teams, can afford to take risks, make mistakes, and test out exciting (but still unproven) emerging tech while smaller organizations certainly can't (for the most part). So let the behemoths take all the risk, do the heavy lifting first, and then smaller organizations get to adopt truly proven solutions at lower risks/prices...once these have run the Kaiser, Mayo, Intermountain, etc., gauntlet. It's all part of the plan... #healthcare #startups #startup #ai #generativeai #digitalhealth #emergingtech Kaiser Permanente Cleveland Clinic Mayo Clinic Risant Health Intermountain Health https://lnkd.in/gckgQB_q

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