Healthcare Model Advantages

🌐 𝐅𝐇𝐈𝐑: 𝐓𝐮𝐫𝐧𝐢𝐧𝐠 𝐇𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞 𝐃𝐚𝐭𝐚 𝐢𝐧𝐭𝐨 𝐭𝐡𝐞 𝐈𝐧𝐭𝐞𝐫𝐧𝐞𝐭 𝐨𝐟 𝐌𝐞𝐝𝐢𝐜𝐢𝐧𝐞 During my recent 𝐤𝐞𝐲𝐧𝐨𝐭𝐞 𝐭𝐚𝐥𝐤 𝐚𝐭 𝐃𝐢𝐚𝐂𝐨𝐧𝐧𝐞𝐜𝐭 𝟐𝟎𝟐𝟓, I discussed how FHIR connectivity is transforming 𝐡𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞 𝐝𝐚𝐭𝐚 𝐢𝐧𝐭𝐨 𝐚𝐧 𝐢𝐧𝐭𝐞𝐫𝐧𝐞𝐭-𝐥𝐢𝐤𝐞, 𝐬𝐞𝐚𝐫𝐜𝐡𝐚𝐛𝐥𝐞, 𝐚𝐧𝐝 𝐢𝐧𝐬𝐭𝐚𝐧𝐭𝐥𝐲 𝐚𝐜𝐜𝐞𝐬𝐬𝐢𝐛𝐥𝐞 ecosystem. If you understand how the 𝐢𝐧𝐭𝐞𝐫𝐧𝐞𝐭 𝐰𝐨𝐫𝐤𝐬, you already understand 𝟖𝟎% 𝐨𝐟 𝐅𝐇𝐈𝐑. That’s the simplest way to describe where healthcare interoperability is heading. The internet succeeded because information became: 🔹 Searchable 🔹 Discoverable 🔹 Indexable 🔹 Instantly accessible FHIR is doing 𝐞𝐱𝐚𝐜𝐭𝐥𝐲 𝐭𝐡𝐞 𝐬𝐚𝐦𝐞 𝐭𝐡𝐢𝐧𝐠 𝐟𝐨𝐫 𝐡𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞 𝐝𝐚𝐭𝐚. Let’s use a familiar analogy 👇 🌍 How the Internet Works • DNS registries tell the world where websites live • URLs define how to reach specific content • Web crawlers discover and index information • RESTful paths let systems fetch data instantly 🧬 How FHIR Works • FHIR resource registries define what clinical data exists • FHIR RESTful URLs define where to retrieve it • CapabilityStatements advertise what a system can provide • FHIR queries instantly pull structured clinical resources 📌 Example Web: https :// hospital. com/ patients/ 123/ labs FHIR: https :// ehr.hospital. com/ fhir/ Observation?patient=123 Same concept. Same architecture. Different domain. This is why FHIR is not “just another standard.” It is the 𝐰𝐞𝐛 𝐚𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 𝐚𝐩𝐩𝐥𝐢𝐞𝐝 𝐭𝐨 𝐡𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞. 🚀 Why this matters Today, less than 𝟓% 𝐨𝐟 𝐡𝐨𝐬𝐩𝐢𝐭𝐚𝐥𝐬 𝐚𝐧𝐝 𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐨𝐫𝐢𝐞𝐬 𝐚𝐫𝐞 𝐭𝐫𝐮𝐥𝐲 𝐅𝐇𝐈𝐑-𝐞𝐧𝐚𝐛𝐥𝐞𝐝. Yet FHIR makes healthcare data: ✔️ Instantly accessible ✔️ Vendor-neutral ✔️ AI-ready ✔️ Scalable across institutions, regions, and countries FHIR removes the friction of point-to-point integrations and replaces it with 𝐨𝐧-𝐝𝐞𝐦𝐚𝐧𝐝 𝐝𝐚𝐭𝐚 𝐚𝐜𝐜𝐞𝐬𝐬, exactly like the internet replaced static files with dynamic web content. 🔬 For laboratories especially, this is critical: • Labs generate ~70% of clinical decision data • Labs produce ~90% of normalized, machine-readable data FHIR allows this data to move beyond reports and become𝐫𝐞𝐚𝐥-𝐭𝐢𝐦𝐞 𝐜𝐥𝐢𝐧𝐢𝐜𝐚𝐥 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞. 🧠 The real challenge is 𝐧𝐨𝐭 𝐭𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲. It is 𝐦𝐢𝐧𝐝𝐬𝐞𝐭 𝐚𝐧𝐝 𝐥𝐢𝐭𝐞𝐫𝐚𝐜𝐲. Once you realize that: 👉 Clinical data can be indexed 👉 Results can be queried 👉 Systems can discover each other You 𝐬𝐭𝐨𝐩 𝐭𝐡𝐢𝐧𝐤𝐢𝐧𝐠 𝐢𝐧 𝐢𝐧𝐭𝐞𝐫𝐟𝐚𝐜𝐞𝐬 — 𝐚𝐧𝐝 𝐬𝐭𝐚𝐫𝐭 𝐭𝐡𝐢𝐧𝐤𝐢𝐧𝐠 𝐢𝐧 𝐧𝐞𝐭𝐰𝐨𝐫𝐤𝐬. 📢 FHIR is not the future. FHIR is the internet moment of healthcare. 🔗 Interoperability 🔍 Discoverability ⚡ Instant accessibility Those who adopt it early will shape how medicine is practiced next. #FHIR #HealthcareInteroperability #HealthInformatics #DigitalHealth #LabMedicine #HealthcareIT #ConnectedCare

🔤 The ABC of FHIR: A Practical Way to Understand Healthcare Interoperability FHIR is one of the most talked-about topics in healthcare IT today. But beyond the buzzwords, many professionals still ask: What exactly is FHIR, and why does it matter to my role? Let’s simplify it using the ABC approach 👇 🅰️ A – API-First Healthcare Standard FHIR (Fast Healthcare Interoperability Resources) is a modern, API-first standard designed for real-time healthcare data exchange. Unlike legacy batch-based standards, FHIR: • Uses REST APIs over HTTPS • Supports JSON and XML • Enables on-demand data access • Works seamlessly with web and mobile apps This makes FHIR ideal for use cases like: • Patient access to health data • Prior authorization APIs • Care coordination • Provider directories • Real-time eligibility and coverage checks FHIR is developed and governed by HL7, ensuring global consistency and governance. 🅱️ B – Building Blocks (Resources) FHIR is built using small, reusable units called Resources. Each resource represents a real-world healthcare concept, such as: • Patient • Practitioner • Organization • Observation • Condition • Claim • Coverage These resources: • Follow standardized data models • Are reusable across workflows • Can be extended without breaking the core standard Think of FHIR resources as Lego blocks for healthcare systems—flexible, modular, and interoperable. 🅲 C – Connected Care with Compliance FHIR is not just about data exchange—it’s about secure and compliant interoperability. FHIR supports: • OAuth 2.0 security • SMART on FHIR authorization • Role-based access control • Audit and traceability In the U.S., FHIR is aligned with regulatory mandates and implemented using profiles like US Core. 🧠 The Big Picture FHIR is not replacing healthcare professionals. It’s replacing manual, fragmented, and inefficient data exchange. FHIR = APIs + Standard Data Models + Secure Interoperability 🎯 Why This Matters (Even If You Don’t Code) Understanding FHIR is becoming a core healthcare skill for BAs, PMs, QA engineers, architects, and healthcare operations teams. #FHIR #HealthcareIT #HealthTech #Interoperability #DigitalHealth #HealthcareTransformation #APIs #HL7 #Payer #Provider #HealthcareCareers #BusinessAnalyst #ProductManagement #QualityEngineering #HealthInformatics

Josh Mandel, MD, Dan Gottlieb, and I, on behalf of SMART Health IT, submitted comprehensive comments to the CMS/ASTP/ONC Request for Information on the Health Technology Ecosystem.   Our key recommendations: Streamline regulation. Take a deregulatory approach by focusing exclusively on the FHIR APIs already established under the 21st Century Cures Act—SMART on FHIR and Bulk FHIR—as the backbone for secure, standardized data exchange.   Empower patients. Ensure robust patient access to their complete electronic health information (EHI export), reinforcing the patient empowerment principles mandated by the 21st Century Cures Act.     Transform EHRs. Reimagine electronic health records as modular components within broader healthcare platforms, driving interoperability, competition, and innovation. Invest in R&D. Maintain sustained support for interoperability and health IT innovation through continued research and development, leveraging real-world deployments to accelerate healthcare transformation.   Why these recommendations matter: SMART on FHIR provides standardized, secure patient-level data access, enabling seamless integration of patient data across diverse healthcare applications. Bulk FHIR supports efficient organizational-level data exchange, crucial for managing large patient cohorts and gaining actionable population-level insights. Together, these APIs serve as critical infrastructure for healthcare interoperability and innovation.   Positioning EHRs as modular elements within larger healthcare platforms fosters greater interoperability, reduces vendor lock-in, enhances market competition, and catalyzes innovation across the healthcare ecosystem.   Finally, continued investment in federally funded R&D is essential. Proven through real-world deployments, such investments consistently enhance healthcare data exchange, clinical efficiency, and patient engagement—laying the foundation for a robust, innovative healthcare infrastructure.   You can read our detailed response here: https://lnkd.in/efYu6J-m Aneesh Chopra Brendan Keeler

Interoperability as a Catalyst for Digital Health Value This review examines a decade of standards evolution and its impact on scalable AI-enabled healthcare. It concludes that the next competitive frontier in digital health is not algorithm accuracy — but system interoperability and data portability. Key Takeaways: 1️⃣ Despite technical advances, 62 % of digital-health systems reviewed between 2015 and 2025 lacked full FHIR or HL7 integration, limiting real-world deployment and data exchange efficiency. 2️⃣ Platforms adopting open standards (FHIR, DICOM-web, ISO/IEEE 11073) achieved a 35 – 50 % reduction in implementation time and faster clinical validation cycles. 3️⃣ AI-driven therapeutics showed higher longitudinal-data utility when paired with interoperable EHR connectors, highlighting interoperability as a cost and scalability lever rather than a compliance checkbox. 4️⃣ The study identifies governance gaps: less than one-third of evaluated systems documented traceable interoperability KPIs — a clear obstacle to regulatory alignment and investor confidence. Synthesis: Digital-health innovation now hinges on data-flow continuity across institutions and vendors. Investors and operators should treat interoperability not as a backend feature but as a strategic moat — driving lower integration costs, faster ROI, and stronger defensibility in regulated markets. ➡️ Which interoperability metrics should be standard in health-AI due diligence? 🔗 Source(s): Interoperability as a Catalyst for Digital Health and Therapeutics: A Scoping Review of Emerging Technologies and Standards (2015 – 2025) — MDPI (2025) #digitalhealth #ai #interoperability #healthsystems #investment

I keep seeing health tech saying that doctors don’t want “informed patients”…. If you think doctors don’t want patients to use AI, you’re misunderstanding the real problem. The problem is the system around the information, not the information itself. Patients are using wearables, searching symptoms on ChatGPT, following wellness influencers, and getting advice from telehealth companies. Access to information has exploded. But the structure that surrounds that information has not evolved. The result is predictable. Patients are overloaded with data without the medical knowledge to interpret it. Doctors only see a tiny sliver of that data in a rushed appointment. And nobody is looking at the same information at the same time. That is the real disconnect. Patients come in anxious about numbers that are not clinically meaningful. They do not always know the right questions to ask or how to phrase queries to get accurate answers from AI. They are trying. But the system gives them information without context. Meanwhile, doctors are not getting real-time data from wearables. We are not compensated for reviewing digital information outside the visit. And patients are receiving medical guidance from five different places that do not communicate with each other. This is not about doctors wanting patients to be uninformed. This is about safety, continuity, and the complete absence of a true medical home. Imagine a world where: • Wearable data flows into the EHR in real time • Doctors are compensated for reviewing digital information • Patients avoid unnecessary visits • Doctors have more time for the patients who need them • AI helps both sides see the same picture at the same time This is possible. But not with a system built around billing for 15-minute encounters and leaving patients to interpret medical information alone. Doctors do not fear informed patients. We fear misinformed, anxious, and ungrounded patients being left with data they cannot interpret and a system that is not built to support them. If we want AI to work for patients, we need: • Interoperability • Real-time data sharing • Continuity of care • A new incentive model that compensates clinical judgment, not face-time Patients deserve tools that help them. Doctors deserve systems that support them. And the future of digital health depends on building a bridge between the two. #DigitalHealth #AIinHealthcare #HealthTechLeadership #PhysicianPerspective #ContinuityOfCare #Wearables #PatientSafety #HealthcareInnovation #DataInteroperability #MedicalAI

What does it mean when data isn’t clean, connected, or complete? Suddenly, critical context disappears, resulting in serious, life-altering consequences. A misspelled name at an urgent care visit. A transposed birthday. A record that never makes it into the patient’s medical history. True interoperability isn’t just about moving data from point A to point B. It’s about knowing who the patient is holistically. Identity resolution, data normalization, and quality controls aren’t “back‑office” concerns. They’re foundational to safe care. When clinicians trust the data in front of them, decisions are made faster, outcomes improve, and patients are safer. Just as clinicians demand sterile environments to treat their patients safely, we should demand clean data to inform the right decisions.

105 interfaces. 15 hospital systems. One upgrade away from chaos. Point-to-point integration often works well at the beginning. Then another system is added. Then another vendor. Then another message format. Soon, the hospital will be maintaining a web of connections between its EHR, LIS, radiology, pharmacy, billing, scheduling, HIE, and other platforms. For one 300-bed hospital, this had grown into 105 separate interfaces. The integration team was spending nearly 80% of its capacity maintaining connections and investigating failures rather than improving clinical workflows. The architecture was redesigned around a Mirth Connect hub-and-spoke model. Each hospital system is connected once to a central integration engine responsible for: → Message routing and transformation → HL7 v2, FHIR R4, X12 and CDA support → Automated retries and dead-letter queues → Real-time monitoring and alerts → Complete message audit trails The results:  • 105 → 15 connections  • 99.7% message-delivery reliability  • 87% reduction in integration maintenance  • New integrations completed in 3–5 days instead of 4–6 weeks  • 180,000+ messages processed daily with full visibility Sometimes, healthcare interoperability is not about creating more connections. It is about creating one reliable place where every connection can be understood, monitored, and trusted. Read the complete case study: https://lnkd.in/dEgXWEZS #HealthcareInteroperability #MirthConnect #HL7 #FHIR #HealthTech #HealthcareIT #IntegrationEngine #DigitalHealth #HospitalIT #Nirmitee

𝐇𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞 𝐒𝐡𝐨𝐮𝐥𝐝𝐧’𝐭 𝐖𝐨𝐫𝐤 𝐢𝐧 𝐒𝐢𝐥𝐨𝐬 Yet, too often, patient data is trapped in disconnected systems. Doctors, specialists, and hospitals operate with 𝐟𝐫𝐚𝐠𝐦𝐞𝐧𝐭𝐞𝐝 𝐢𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧-leading to misdiagnoses, duplicate tests, and delayed treatments. The fix? Interoperable platforms. 𝐇𝐞𝐫𝐞’𝐬 𝐡𝐨𝐰 𝐭𝐡𝐞𝐲 𝐭𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦 𝐡𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞: 𝐔𝐧𝐢𝐟𝐢𝐞𝐝 𝐏𝐚𝐭𝐢𝐞𝐧𝐭 𝐑𝐞𝐜𝐨𝐫𝐝𝐬 – Every provider sees the same 𝐫𝐞𝐚𝐥-𝐭𝐢𝐦𝐞 patient history; no missing data, no guesswork. 𝐅𝐚𝐬𝐭𝐞𝐫 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐢𝐨𝐧 – Lab results, imaging scans, and treatment plans are shared 𝐢𝐧𝐬𝐭𝐚𝐧𝐭𝐥𝐲, reducing wait times. 𝐅𝐞𝐰𝐞𝐫 𝐌𝐞𝐝𝐢𝐜𝐚𝐥 𝐄𝐫𝐫𝐨𝐫𝐬 – Up-to-date medication lists prevent 𝐡𝐚𝐫𝐦𝐟𝐮𝐥 𝐝𝐫𝐮𝐠 𝐢𝐧𝐭𝐞𝐫𝐚𝐜𝐭𝐢𝐨𝐧𝐬 𝐚𝐧𝐝 𝐚𝐥𝐥𝐞𝐫𝐠𝐢𝐜 𝐫𝐞𝐚𝐜𝐭𝐢𝐨𝐧𝐬. 𝐋𝐨𝐰𝐞𝐫 𝐂𝐨𝐬𝐭𝐬, 𝐇𝐢𝐠𝐡𝐞𝐫 𝐄𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲 – No more 𝐫𝐞𝐝𝐮𝐧𝐝𝐚𝐧𝐭 𝐭𝐞𝐬𝐭𝐬 or administrative slowdowns-just 𝐬𝐞𝐚𝐦𝐥𝐞𝐬𝐬 𝐜𝐚𝐫𝐞. 𝐄𝐦𝐩𝐨𝐰𝐞𝐫𝐞𝐝 𝐏𝐚𝐭𝐢𝐞𝐧𝐭𝐬 – People access their own health data, make informed decisions, and engage in their care. 𝐈𝐧𝐭𝐞𝐫𝐨𝐩𝐞𝐫𝐚𝐛𝐢𝐥𝐢𝐭𝐲 𝐢𝐬𝐧’𝐭 𝐣𝐮𝐬𝐭 𝐚𝐛𝐨𝐮𝐭 𝐭𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲-𝐢𝐭’𝐬 𝐚𝐛𝐨𝐮𝐭 𝐬𝐚𝐯𝐢𝐧𝐠 𝐥𝐢𝐯𝐞𝐬. The healthcare revolution is here. 𝐈𝐬 𝐲𝐨𝐮𝐫 𝐬𝐲𝐬𝐭𝐞𝐦 𝐫𝐞𝐚𝐝𝐲? Let’s talk about making healthcare truly connected.

When medical imaging data is fragmented, the consequences ripple across patient care, provider satisfaction, and even costs. Here’s what happens when data is siloed: 🛑 Incomplete data: You’re not seeing the full picture, which is dangerous for accurate diagnoses. 🛑 Provider burnout: Doctors spend more time entering data or hunting down missing pieces instead of focusing on the patient in front of them. 🛑 Limited patient view: Without access to the right data at the right time, clinicians can’t see all the factors that contribute to a diagnosis. 🛑 Increased costs: When data isn’t shared seamlessly, inefficiencies multiply - and those get expensive. To overcome these challenges, interoperability (the ability of different systems, devices, and software to seamlessly exchange and use data across various platforms) is key. To break down siloes, we need a few things in place: ✔️ Data Standards: essential to ensure data can be shared across platforms. ✔️ Data Highways: We need systems that allow information to flow seamlessly between providers. ✔️ Integration Solutions: Products like IntelePACS help bridge these gaps by taking in data and converting it to a common standard, making it accessible to all providers and patients. ✔️ Culture of Communication: It’s not all about the tech - effective collaboration between clinicians is what makes the difference. When everyone can access, share, and discuss patient data in real time, it brings down siloes and improves outcomes. The real win here? Better patient care, reduced burnout for providers, and yes, lower costs. And it all starts with the willingness to break down those barriers and create a more connected healthcare environment.