Adel Elmessiry, Ph.D.

#PalTechInsights 𝐒𝐦𝐚𝐫𝐭𝐞𝐫 𝐇𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞 𝐒𝐭𝐚𝐫𝐭𝐬 𝐰𝐢𝐭𝐡 𝐀𝐈-𝐏𝐨𝐰𝐞𝐫𝐞𝐝 𝐅𝐇𝐈𝐑 Healthcare data was meant to flow seamlessly across providers, payers, and patients- but in reality, FHIR implementations often introduce complexity, drift from standards, and pile up administrative burden. That’s where AI as an interpreter of complexity changes the game. From reconciling schema variation to adapting to version drift, explainable AI makes FHIR truly usable at scale, turning “FHIR-ish” data into real intelligence. At PalTech, we help payers, providers, and innovators unlock the power of FHIR + AI to build systems that are compliant, context-aware, scalable, and future-ready. 👉 𝐑𝐞𝐚𝐝 𝐨𝐮𝐫 𝐥𝐚𝐭𝐞𝐬𝐭 𝐛𝐥𝐨𝐠 𝐭𝐨 𝐞𝐱𝐩𝐥𝐨𝐫𝐞 𝐡𝐨𝐰 𝐀𝐈 𝐢𝐬 𝐭𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐢𝐧𝐠 𝐢𝐧𝐭𝐞𝐫𝐨𝐩𝐞𝐫𝐚𝐛𝐢𝐥𝐢𝐭𝐲 𝐟𝐫𝐨𝐦 𝐜𝐨𝐦𝐩𝐥𝐢𝐚𝐧𝐜𝐞 𝐭𝐨 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞: https://lnkd.in/g83gRjk9 #FHIR #HealthcareInnovation #Interoperability #HealthTech #AIInHealthcare #PalTechInnovation #PalTech

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Big news from CMS: At the White House’s “Make Health Technology Great Again” event, CMS unveiled its plan to modernize health data exchange: the CMS Interoperability Framework. As the nation accelerates toward a more connected, digitally enabled health care system, the American Medical Association supports a coordinated effort with physicians at the table. The voluntary blueprint aims to create a connected health tech ecosystem where: • Patients control and share their health info • Clinicians get timely, complete data at the point of care • Digital tools deliver personalized, real-time support • Payers enable value-based care through smarter data exchange Many organizations signed the pledge to support seamless, private, and frictionless data sharing to advance toward even greater interoperability. Technology absolutely needs to integrate across systems and settings, ensuring continuity of care, reducing fragmentation and burdens from disconnected tools and data silos, but there’s more work to be done to realize the potential of digital medicine and ensure the digital health ecosystem remains rooted in evidence, ethics, and usability. • Care must remain centered around the patient-physician relationship. • Data privacy and security must be prioritized to maintain trust and comply with ethical and legal standards. • Sustainable adoption depends on financial models that account for equitable payment and reward improved outcomes, efficiency, and patient experience. • Innovation must be grounded in science, with proven approaches rapidly disseminated to improve quality, safety, and effectiveness at scale Together, we can harness technology to improve care and build a future health care system that works for all. #DigitalHealth #HealthTech #Interoperability #HealthEquity #InnovationInHealthcare #PhysicianLeadership #CMS

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Medical coding is cracking under the weight of rising complexity. - In 2024, coding-related denials surged by 126% - 30% of U.S. health systems face a medical coder shortage - 56% of coders failed accuracy audits last year AI medical coding offers a practical path forward. By supporting documentation and code selection throughout the entire clinical encounter, it helps teams reduce errors, close notes faster, and submit cleaner claims without disrupting existing workflows. See how AI medical coding can help: https://lnkd.in/dW6WhxQB

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🚀 Big step for #AIinHealthcare! The American Medical Association's 2026 CPT code adds a Category I designation for AI-based coronary plaque assessment. Category I status signals that AI-based plaque assessment is now recognized as an established procedure — paving the way for broader reimbursement, adoption, and patient impact. “This approval shows the importance and power of AI and advanced imaging technologies in clinical practice.” — James Min, MD, CEO & Founder of Cleerly 👉 Read via Medscape: https://lnkd.in/ga4yYqzV #YesCCT #PlaqueAnalysis

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Building an AI chatbot for healthcare isn't like building ChatGPT. You need real-time data, strict privacy controls, and integration with complex EHR systems. Teams across Stanford Health Care’s Technology organization came together to build “ChatEHR”, a privacy preserving and practical GenAI tool that could serve as a model for other health systems: https://lnkd.in/eDEAMdwf

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