Lab ordering delays solved with HL7 integration for Epic

#CaseStudy 🧪 Challenge: Lab ordering across multiple systems created delays and inconsistency. 🔍 Solution: A robust HL7 integration strategy tailored for Epic. 📈 Impact: • Streamlined data flow between 100+ labs • Reduced order cycle time • Scalable connectivity across regions Read the full case study: 🔗 https://hubs.la/Q03JL1-p0 #Interoperability #HealthTech #ClinicalWorkflows

#CaseStudy 🧪 Challenge: Lab ordering across multiple systems created delays and inconsistency. 🔍 Solution: A robust HL7 integration strategy tailored for Epic. 📈 Impact: • Streamlined data flow between 100+ labs • Reduced order cycle time • Scalable connectivity across regions Read the full case study: 🔗 https://hubs.la/Q03JL20d0 #Interoperability #HealthTech #ClinicalWorkflows

Agents Assemble for the HL7 Language First Interoperability Connectathon! My bags are packed, and I'm thrilled to head to Pittsburgh for the HL7 FHIR Connectathon this weekend! We'll be participating in the "Language First Interoperability" track, where we'll test how intelligent agents can talk to each other to solve the most complex healthcare use cases. In preparation for this event, we've been working on our application, 𝗣𝗿𝗼𝗺𝗽𝘁 𝗢𝗽𝗶𝗻𝗶𝗼𝗻. It's a healthcare platform that comes with a built-in agent, 𝗣𝗼. In the video below, I share how you can use 𝗣𝗿𝗼𝗺𝗽𝘁 𝗢𝗽𝗶𝗻𝗶𝗼𝗻 to build your own custom version of Po. Po is ready to leverage the full connectivity stack: 𝗙𝗛𝗜𝗥, SMART on FHIR for EHR connectivity, 𝗥𝗔𝗚, 𝗠𝗖𝗣, and, most importantly, 𝗔𝟮𝗔. In the demo, I show how it can connect with Banterop, another agent application built by Josh Mandel, MD. We're looking forward to testing it with many more agents this weekend! You can try Po today by creating a free account. This is still an early release, so please use sandbox or synthetic data. I'm excited to see what you'll build and to connect with everyone at the Connectathon! Thanks to Josh Mandel, MD , Mohit Durve Mark Kramer Mahbubul Haque Eugene Vestel, MBA for all the great discussions and interactions. Looking forward to it. 😊 #FHIR #AIinHealthcare  

🚀 EHR Integration made simple Too many HealthTech projects get stuck for months trying to connect with legacy hospital systems. At Gart Solutions, we help teams cut integration time from 6–12 months down to just weeks — without sacrificing security or compliance. This PDF shares our practical approach to interoperability with pre-built HL7/FHIR connectors, an API gateway, and a unified data layer. 👉 If you’re building in HealthTech, this might save your team time, cost, and stress.

Before healthcare had apps and APIs, there was HL7 v3. HL7 v3 gave healthcare its first structured language — XML messaging and the RIM model and introduced CDA documents still in use today. It reduced errors, improved consistency, and supported nationwide health reporting. Even in 2025, HL7 v3 continues to power parts of health infrastructure. At Bizaffix, we see HL7 v3 not as the past, but as the foundation of interoperability — one that shaped the standards we build on today. #bizaffix #hl7v3 #HealthcareHeroes #healthcare #business #businessgrowth #technology #Tech

eCW Integration: What Every Healthcare IT Team Should Know At first glance, integrating with eClinicalWorks (eCW) looks straightforward. It supports HL7. It offers a FHIR API. The documentation checks out. But in practice, it rarely works the same way twice. Whether you’re handling ADT feeds, lab results, or patient data, the way eCW behaves can vary significantly between sites. Here’s what we’ve seen across real-world deployments: • HL7 fields like PID.4 may hold external MRNs instead of internal IDs • ORU messages might be ignored if not tied to recent orders • Some fields go missing, others behave inconsistently • FHIR token access doesn’t always guarantee permission • Integration modes like "tight" or "standalone" change how data flows When this happens, downstream systems start behaving unpredictably: Lab results go unlinked. Registration data arrives late. Patient records get fragmented. One diagnostics vendor came to us after struggling to support more than 40 eCW sites. We helped them standardize HL7 feeds and gain control over their integrations, without rebuilding from scratch each time. Integration success isn’t just about supporting HL7 or FHIR. It’s about understanding how systems behave in production and building infrastructure that adapts. #IguanaIntegration #HealthcareIntegration #HL7 #FHIR #eClinicalWorks #Interoperability #EHRIntegration #InterfaceEngine #iNTERFACEWARE

Inside Theia, we keep the workflow simple and humane: protected focus blocks for sign-out with no meetings, validated home workstations to cut the commute and preserve energy, routine blinded QA on a sampled proportion of cases with rapid feedback, and integrated workflows using Synapse with HL7 links to client LIS to minimise duplicate data entry. Boundaries matter, so we set clear cut-offs and escalation rules so work overpower. #DigitalPathology

Everyone loves to say “HL7 is dead.” ….until they need: ⚡ Consistent integration across Epic, Cerner, Meditech, and more ⚡ Predictable security models ⚡ Less pushback from client IT teams Then suddenly, HL7 is the hero again. It’s not about nostalgia. It’s about results. And for many cross-EMR projects, HL7 still delivers faster, cleaner, and with fewer surprises than FHIR alone. The best integrations often blend old and new - HL7 for reliability, FHIR for innovation. What’s your take - should HL7 still be in every integration toolkit?

🧪 Cracking the Lab Code in EMRs! 💻🔍 If you’ve ever worked with Cerner EMR (Oracle Health), you know that the laboratory module comes with its own language. From LIS terms to HL7 messaging, it can feel like learning a whole new dialect. 🗣️📊 Here’s a quick guide to some common EMR + Lab terminologies you’ll often hear 👇 🔹 LIS (Laboratory Information System) – The backbone of lab operations 🧬. In Cerner, PathNet acts as the LIS, managing lab workflows from sample collection to result reporting. 🔹 Orderable – The test a clinician requests (e.g., CBC, LFT). Think of it as the “menu item” 🍽️. 🔹 Resultable / Component – The discrete values returned (e.g., Hemoglobin, WBC count). 📊 🔹 HL7 ORM (Order Message) – The instruction message 📩 that tells the lab what test to perform. 🔹 HL7 ORU (Observation Result Message) – The results message 📤 sent back to the EMR (either discrete values or PDFs). 🔹 Collection Lists / Labels – Barcode-driven workflows to ensure Right Patient, Right Sample ✅. 🔹 Specimen Source – Where the sample came from (blood, urine, CSF). Critical for accuracy 🧾. 🔹 Result Flags (H/L/Critical) – Alerts if a result is above/below reference ranges 🚨. 🔹 Delta Checks – Automatic checks comparing current vs. previous results to catch errors 🔄. ✨ Why it matters? Understanding this terminology isn’t just IT jargon—it’s what ensures that when a physician orders a test, the right result flows back into the patient’s EMR, safe and error-free. 🏥❤️ 💡 In the Cerner ecosystem, mastering these lab concepts is essential for anyone working in PathNet, Orders, PowerChart, or integration projects. 👉 Have you faced challenges with EMR-Lab communication (like result delays, mislabeling, or duplicate orders)? Drop your experiences below 👇 #HealthcareIT #EMR #Cerner #OracleHealth #PathNet #LIS #Laboratory #PatientSafety #DigitalHealth

47% of patients cite faster resolution as a key factor when choosing a digital healthcare provider. Five9 Fusion for Epic streamlines the connection between contact centers and Epic by: ✔️ Lowering call handle times ✔️ Reducing after-call work with auto transcriptions back into Epic ✔️ Increasing speed to resolution with AI automation Empower agents with real-time patient data access so they can serve more patients. #TheNewCX