Daniel Barchi

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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Here’s your recap of last week’s health IT news 🗞️ 👇 🤖 AI Clinician Assistant • Oracle Health announced the release of its AI-powered clinical digital assistant, which integrates “clinical automation, conversation-based note generation, and proposed clinical follow ups” directly within the EHR. • NextGen Healthcare released a version of their Ambient Assist designed for small practices, which includes Spanish support and specialty-specific workflows.    • Community Health Network has begun a multiyear Microsoft implementation including Nuance Communications Dragon Medical One and DAX Copilot. 🧑‍💻 Virtual and At-Home Care • Hackensack Meridian Health partnered with Medically Home to implement their hospital at home program. • Cleveland Clinic is integrating Masimo’s wearables in a new partnership focused on hospital-based RPM. • eVisit acquired UPMC Enterprises' inpatient teleconsult technology and an investment from UPMC’s innovation and investments arm as part of their $45M Series B funding. • PatchRx released an API-based tool allowing providers to sync data directly into their existing care platforms. 📊 Data & Analytics • Atropos Health added two new partners and a data scoring system to allow users to select the most appropriate datasets for their queries. • Xealth launched a metrics tool that allows customers to measure and track patient engagement with their digital health programs. 📋 Patient Administration • Fabric acquired MeMD from Walmart. 🔄 RCM • Inovalon joined MEDITECH’s interoperable product marketplace. • RevSpring released an update that integrates a lockbox solution for check processing within its existing payment platform. • Solventum Revenue Integrity (fka 3M Health Care) released its new AI CDI software powered by Sift Healthcare, Solventum Revenue Integrity System, which uses machine learning to predict denials before they happen. 🍎 VBC Data & Analytics • Arcadia acquired CareJourney leveraging their cost, quality, and benchmark data to enhance Arcadia’s data, analytics, and workflow tools. • Adventist Health selected The Garage In's population health management platform to support its VBC operation. 🧠 Food For Thought •  Coalition for Health AI (CHAI) released its draft standards guide for public comment. https://lnkd.in/eMUXGfvz • We really appreciated Daniel Yang, MD’s post about a recent article on the emergence of a new leadership role: the Chief Health AI Officer (CHAIO) https://lnkd.in/ejZxnJCj --- Reminder: you can sign up for the Elion Briefing to get the latest healthcare tech news delivered to your inbox each week 📬 👉 https://lnkd.in/e2UJ3ckP

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🔒 Protecting Patients in an Age of Robots & Outlaws 🔒 Special ScaleHealth Community Webinar Join us Thursday, Oct. 10, 2024, at 10:00AM for a high-stakes discussion on managing the intersection of AI and cybersecurity in healthcare. 🚀💻 Featuring Jon Moore, Chief Risk Officer at Clearwater we’ll explore: 🔥 AI’s Double-Edged Sword: How generative AI can revolutionize healthcare—or be weaponized by cybercriminals. 💥 Threats to Patient Safety: From ransomware-caused mortality spikes to AI-enhanced social engineering. ⚠️ Survival Strategies: Key actions to secure your systems while reaping the benefits of AI innovation. Clearwater Security is a leader in healthcare cybersecurity, specializing in risk management and compliance. With expertise in AI risk mitigation and advanced threat analysis, they help healthcare organizations protect sensitive data, defend against ransomware, and secure AI systems to ensure safe innovation. Don’t let your organization become the next victim of data breaches or compromised AI! 👉 Register now: https://hubs.li/Q02S4xqy0

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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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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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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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Health plan strategist and executive coach Dominick Bizzarro believes that an agile approach to strategic planning can help turn regulations like the CMS Interoperability and Prior Authorization Final Rule (CMS-0057-F) from something done TO you to something done FOR you. #Interoperability #digitalhealthinnovation

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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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This article features insightful perspectives on #AI from Jerome Revish and Nini Wu, MD, demonstrating the collaboration between our technology and business teams at Cardinal Health to deploy AI solutions that help our customers improve the #healthcare experience. 

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Where are the systems for continuous for monitoring/auditing of AI based clinical systems?- Can you manage what you cannot measure? https://lnkd.in/eck3-6G5 "We have no standards," said Jesse Ehrenfeld, MD, MPH, immediate past president of the American Medical Association. "There is nothing I can point you to today that is a standard around how you evaluate, monitor, look at the performance of a model of an algorithm, AI-enabled or not, when it's deployed."

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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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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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Deep dive on Interoperability as it relates to Providers / Payers from us at INFUSE Health. Would appreciate your perspective as well and how this topic continues to resonate with your key audience segments from a GTM standpoint.

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Value based care (VBC) 1.0 language was heavily oriented to language like "disruption". This language was like a punch in the mouth and was effective at building awareness of new opportunity - but disruptive punches to the jaw don't sound like a very attractive end state. It sounds pretty painful, and maybe that is one reason why VBC adoption has stagnated. VBC 2.0 needs to be about integration and partnership so that we can start to bring real value to patients and the provider organizations who serve them - and do that at scale. The pre-eminent leader in health plan clinical guidelines coming together with the most innovative AI provider of utilization management technology is a perfect example of this new paradigm. Kudos to the MCG Health and Cohere Health teams taking a leadership role to make the health care system work better for all.

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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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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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Looking forward to sharing recent KLAS Research insights at the upcoming The Millennium Alliance Assembly and learning from attendees their expectations in #digitalhealth for 2025. 🔎 What are the investment priorities of 100 healthcare provider executives and 50 payer executives over the next 2 years? 🔎 How do provider priorities compare to patient expectations? 🔎 What are the current digital health problems that you are trying to solve? 🔎 What digital tools do you plan to add, consolidate, or eliminate? 📢 CHALLENGE FOR THE LINKEDIN COMMUNITY Using 5 words 'What digital health trends do you expect to see in 2025? ' Fun fact: we are about to be 40 years since Marty McFly got in the DeLorean.

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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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Understanding the distinct perspectives and strategies of providers and payers is crucial for effective negotiation and risk management. These insights can help providers and payers avoid common pitfalls, as well as highlight the importance of alignment between them. Looking forward to more insights from you and your team Joseph Rafferty. Teaming up with Michael McCabe is a smart move.

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