Dr Zafar C.

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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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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Great post! My thoughts on the impact: Canada’s current push for national standards in data interoperability is promising, but the reality is complex. While the idea of seamless data sharing across provinces and territories sounds ideal, it’s challenged by Canada’s fragmented healthcare system, where each region operates under its own policies. Standardization could streamline data access, but if driven by large EHR vendors, it risks becoming too restrictive, potentially centralizing control and limiting true accessibility. In the end, while EHR systems often talk about interoperability, they mostly focus on data within their own platforms. This approach risks creating silos between hospital and community care, limiting the vision of a connected health network. True interoperability needs not just technical standards but also a commitment to open access that fosters an innovative and competitive market. We need drivers and incentives that constantly push us to strive for better care—not another solution that holds us hostage to outdated systems we’ve over-committed to.

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This is an interesting article because EHR companies, like Epic and Oracle's Cerner, have made siloing data a major part of their business model. Overall, I like EPIC’s ability to review records from other EPIC shops. It also has a nod to interoperability with its “Care Everywhere“ feature. However, this is often a disorganized and outdated collection of information. Using it requires a ninja level of both tech expertise and medical knowledge possessed mainly by younger physicians and chief residents. I am a fan (and advisor) of companies like Zus Health focused on user-friendly, comprehensive, and up-to-date interoperable health care data tools.

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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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Machine Learning is an invaluable tool and immense advantage for transitioning into value-based care. Yet it’s important to prioritize the human factor in having compassion for our patients. Oracle is on the right path!

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Oracle's New AI-Powered EHR: Key Features for Healthcare Innovation Oracle's new Electronic Health Record (EHR) system is designed to simplify the complexities of healthcare workflows by integrating artificial intelligence (AI) and cloud technologies. This modernized EHR offers key features to improve efficiency and enhance patient care. Key Features: 🗣️ Voice-Activated Interface: Doctors can now query patient data and receive AI-generated answers in real-time, eliminating the need to navigate complex menus and drop-down screens. This streamlined interaction saves time and reduces administrative load. 📈 AI-Driven Data Summaries: The system provides AI-generated summaries of patient records, allowing physicians to quickly access relevant information such as medical history, medication updates, lab results, and treatment plans. 🤖 Clinical AI Agent: Integrated into the EHR, Oracle's Clinical AI Agent automates documentation by generating clinical notes based on recorded patient visits. This tool helps physicians save time on paperwork, increasing their focus on patient care. ☁️ Cloud-Based Flexibility: The system's cloud infrastructure ensures seamless integration and customization, offering healthcare providers a tailored solution that fits their unique needs. This also facilitates easier adoption for new and existing customers. Oracle’s new EHR system stands as a significant leap in healthcare IT, offering an AI-enhanced, user-friendly experience that promises to improve efficiency and streamline patient care. By addressing long-standing workflow issues and providing a fresh, cloud-based approach, Oracle is positioned to make a lasting impact on the digital health record market. Want to know more about how Accenture’s CIS Taskforce can help your organization 🚀revolutionize the EHR system? Reach out today! Chris Barry Emily Hogan Sunny Sanghee Baek, RN Andrea Edney Shakhnoz Niezova Bronwyn Zuck Jennifer Pinto MHI, PMP Amra Das, MHI Inna Ulziibaatar Nicole Wu Ramina Dhillon Mairead Mulroy April Truelove Mark Dressel Christiane Constant Jackie Cyr MSN, MBA

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Our first paper from the Society of Critical Care Medicine (SCCM) Discovery Panel on Data Sharing and Harmonization is available! "Critical Data for Critical Care: A Primer on Leveraging Electronic Health Record Data for Research From Society of Critical Care Medicine’s Panel on Data Sharing and Harmonization" This is the first of many that will be coming out from this two-year effort. Thanks to our lead author Smith Heavner, PhD, RN for doing much of the heavy lifting on this, and to our group leaders Gilles Clermont, Donna Lee Armaignac and with Tamara Al-Hakim M.D. who have done much of the critical cat wrangling, along with contributing. We have another manuscript in process and more on the way after that. This effort is serving as a template for how professional societies in different therapeutic areas can be considering the future with appropriate care. It is an honor to be part of this group. #criticalcare #medicine #technology #data #sharing #harmonization J Perren Cobb, MD Kenneth E. Remy, MD, MHSc, MSCI, FCCM Karin Reuter-Rice Melissa Haendel Yoram Vodovotz Ronald Poropatich, MD, MS Heather Leigh Flannery Chris Regan Sandy Barsky

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Sharing key takeaways on the CMS Hospital Inpatient Quality Reporting program for FY2025. - Seven new measures are added (which are welcome, with the caveat of let's see how they work out) -> Patient Safety Structural Measure beginning CY 2025 with payment determination in FY 2027 -> Age Friendly Hospital CY 2025/FY 2027 -> Catheter-Associated Urinary Tract Infection Standardized Infection Ratio Stratified for Oncology Locations (CAUTI- Onc) CY 2026/FY 2028 -> Central Line-Associated Bloodstream Infection Standardized Infection Ratio Stratified for Oncology Locations (CLABSI-Onc) CY 2026/FY 2028 -> Hospital Harm – Falls with Injury (eCQM) CY 2026/FY 2028 -> Hospital Harm – Postoperative Respiratory Failure (eCQM) CY 2026/FY 2028 -> Thirty-day Risk-Standardized Death Rate Among Surgical Inpatients with Complications July 1, 2023–June 30, 2025/ FY 2027 - Five existing measures are removed (which is a breath of fresh air) - the unpopular PSI-04, and measures related to 30-day episode payments for acute myocardial infarction, pneumonia, total hip/ knee arthroplasty, heart failure - Two existing measures are modified (Global malnutrition composite score expanded from seniors over 65 to anyone older than 18 - this is very positive; and Refined HCAHPS measure - will post details on this next week.)

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Excited to share that Polygon Health Analytics has received a $295,924 SBIR Phase I grant from NIMHD! 🎉 We will develop a digital health tool to address social determinants of health and reduce disparities in lupus care. Proud to drive innovation for health equity! #SBIR #HealthEquity #Lupus

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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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It seems that the government is serious about finally realizing the vision of true health data interoperability. The attached Point-of-Care Partners blog post describes the recently released HTI-2 Proposed Rule which is another step in the fruition of that vision. Point-of-Care Partners can help your healthcare organization stay ahead of the waves of regulatory activity around interoperability. Let me know if you are interested in learning how.

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Leveraging Informatics in Revenue Management for Health Network Mergers and Acquisitions In today’s healthcare landscape, mergers and acquisitions (M&A) are reshaping health networks, promising expanded services and improved patient care. However, integrating revenue cycle management (RCM) across newly combined entities presents significant challenges—data silos, incompatible systems, and inconsistent workflows often lead to revenue leakage, compliance risks, and inefficiencies. Informatics plays a critical role in overcoming these barriers by enabling: 1. Data Integration and Interoperability Unified data governance frameworks ensure seamless integration of disparate billing, claims, and patient accounting systems. Informatics tools standardize coding, charge capture, and reporting across systems, reducing redundancies and errors. 2. Analytics for Decision-Making Advanced analytics provide insights into payer performance, denials management, and revenue trends to identify opportunities for optimization. Predictive modeling aids in assessing financial risks and forecasting revenue impacts post-merger. 3. Automation and Efficiency Gains AI-driven automation streamlines prior authorizations, eligibility checks, and payment posting processes. Informatics supports robotic process automation (RPA) to minimize manual tasks and accelerate cash flow. 4. Compliance and Risk Mitigation Centralized dashboards monitor compliance metrics, ensuring adherence to regulatory standards during system migrations and transitions. Informatics solutions track audit trails to safeguard against fraud and billing inaccuracies. Key Takeaway: Health networks undergoing M&A must view informatics not just as a tool but as a strategic asset in revenue cycle transformation. By aligning data governance, analytics, and automation strategies, organizations can reduce revenue disruption, improve financial performance, and enhance patient satisfaction—turning complex integrations into opportunities for growth. 💬 How has your organization used informatics to streamline revenue management post-merger? Share your insights below!

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https://lnkd.in/gvSeyCVf "Our emphasis on digital transformation lies in improving patient access, process efficiency, and patient and staff experience," said Omkar Kulkarni, MPH Kulkarni, chief transformation and digital officer of Children's Hospital Los Angeles." ☝️is the sweet spot of what we are solving with Q-rounds: ✅ Improving patient access: Q-rounds makes access to rounds a right not a privilege by inviting all families to rounds daily and giving families who can’t be there in person one click access to join rounds remotely. We have more than tripled family presence for rounds with over 10K families joining remotely. ✅Process efficiency: 100% of nurses and doctors said they wanted to see Q-rounds stay the standard of care after using it, and doctors reported statistically significant gains in rounding efficiency. ✅Improvong Patient and Staff Experience: Nurses are telling us they are eating lunch again for the first time in years because they know when the doctor will be there. In more than a year at the first site we’ve been live we haven’t had a single day the doctors didn’t choose to use Q-rounds for rounds! We are taking the waiting around out of rounds once and for all!

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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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Accurately predicting rising healthcare risk is critical to any provider, payor or health system. Knowing the rising risk AND cost helps you better manage patients and members healthcare. Only Optmycare does this with a 90+% accuracy rate! #predictiveanalytics #populationhealth #prescriptiveanalytics #healthcarerisk

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Epic Systems’ recent move to back the TEFCA medical records exchange is interesting. On the surface, it’s all about creating a seamless flow of patient data across hospitals, QHINs, and all relevant stakeholders. But let’s be real—data is the oil of the new economy, and interoperability is the pipeline that delivers this precious resource to all the right stakeholders. By aligning with TEFCA, Epic might just be positioning itself as the refinery. All in all, this is a welcoming move by Epic Systems—especially if it really is as straightforward as they make it sound. But given the lack of details, one has to wonder if there are any hidden catches. After all, when it comes to something as valuable as healthcare data, it’s wise to look out for the fine print. Let’s hope this is genuinely about improving patient care. https://lnkd.in/gDdDCcmj

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Exciting! ChristianaCare is transitioning to Epic, and as health systems embrace advanced tools, whether executives choose to move from Cerner Corporation to Epic or vice versa, I urge them to prioritize data and AI usability. A Deloitte survey emphasizes that healthcare leaders must focus on data, governance, patients (customers), and care staff to successfully implement generative AI. Data considerations, including availability, reliability, and quality, are critical, with quality being the most challenging to validate. My suggestion is to involve AI partners in these conversations to ensure EHR systems meet market and patient demands. Don't fall behind; your competitors are already doing it, and your patients expect it! Let's make it happen!" Cohere https://lnkd.in/eAGcmGV3 #healthinnovations #AIinHealthcare #EHRTransition #DataGovernance #GenerativeAI #HealthcareInnovation #PatientExperience #CompetitiveAdvantage #AICollaboration #EHRUsability #DataQuality

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