TECHNIDATA’s Post

Most enterprise imaging systems were built strictly for clinical care, leaving research teams to navigate data silos and manual workarounds. Medicom Solutions Architect, Kevin Foley, recently joined Luke Bideaux of Vega Imaging Informatics to discuss how healthcare institutions can bridge this gap and scale imaging research. Key takeaways from the discussion include: ✔️ Clinical vs. Research Workflows: Overcoming the divide between standardized clinical care and fragmented research infrastructure. ✔️Advanced De-Identification: Protecting DICOM compliance and preserving longitudinal patient timelines for accurate analysis. ✔️Empowering CIIPs: Why Imaging Informatics Professionals are uniquely equipped to lead research data initiatives. ✔️AI & Unstructured Data: Utilizing LLMs and NLP to extract critical insights from radiology and pathology reports. To help health systems address these operational hurdles, Medicom developed Research Assistant, an automated, on-premise toolkit that streamlines PHI removal across DICOM metadata, image pixels, and reports while preserving longitudinal accuracy. It enables institutions to safely unlock imaging data for research and machine learning without compromising patient privacy. Thanks to Luke Bideaux and the team at Vega Imaging Informatics for hosting an engaging conversation on the future of imaging data management. Watch the full episode here: https://lnkd.in/eXWEYgEb #ImagingInformatics #MedicalImaging #ClinicalResearch #AIinHealthcare #DataGovernance #MedicomTech #VegaInsights #DICOM

What if the most important technology decision you make this year isn't the next application you buy... but the foundation you build? Healthcare is evolving at an incredible pace. 🔬 Digital Pathology 🤖 AI-powered diagnostics 📸 More imaging generated outside of Radiology 🏥 Care extending beyond the four walls of the hospital These innovations are exciting but they're also raising an important question: Will your technology stack be ready for what's next? The health systems I speak with aren't just thinking about today's challenges. They're asking how to build an architecture that can support new modalities, emerging AI capabilities, and growing imaging volumes for years to come. That's why Enterprise Imaging has become much more than a storage conversation. It's about creating a flexible, interoperable foundation that allows organizations to innovate without adding unnecessary complexity. Technology will continue to evolve. The organizations that thrive will be the ones that build a foundation capable of evolving with it. 💬 What emerging technology do you think will have the biggest impact on healthcare over the next five years? #HealthcareIT #EnterpriseImaging #DigitalPathology #AIinHealthcare #HealthcareInnovation

One of the biggest shifts happening in digital pathology is the move from fragmented systems to integrated platforms. Labs increasingly expect imaging, case management, and AI tools to operate together rather than as separate solutions. The organisations gaining traction are those focused on reducing complexity and improving workflow efficiency through connected platforms. As adoption accelerates, interoperability is becoming just as important as innovation. Source: Nexia Q1 2026 Pathology Round-Up #lifesciences #diagnostics #digitalpathology #medtech #healthcare

“Our goal is to help pathology teams spend more time on expert diagnostic or research work and less time navigating process challenges, while enabling executive leadership to make data‑informed decisions around standardization, scalability, sustainability, and ROI.” Matthieu Guibourgé, Vice President of Global Sales, Pathology Imaging, shares with Technology Networks how we uniquely help laboratories simplify the transition to digital pathology to support success at every step. Read “Reimagining the Pathology Workflow: Digital Adoption and the Benefits for Modern Labs” here: https://ow.ly/NhRU50ZjgM4 #DigitalPathology #DanaherNews #WorkflowInnovation #PrecisionMedicine

🎓 MEDIT Masterclass | Realtime Intelligence: Fewer re-scans, better predictability How instant scan quality checks can improve the entire treatment workflow? Join PD Dr. Moritz Zimmermann as he demonstrates how Realtime Intelligence (RTI) supports a more efficient and confident digital workflow through real-time scan data analysis, helping clinicians identify and address scan and prep issues before cases are sent to the lab. 💡 What You Will Learn • How Realtime Intelligence supports every stage of the scanning workflow • How Scan Quality Check and Prep Quality Check help identify issues such as double layers, undercuts, margin lines, and insufficient thickness in real time • How real-time feedback on scan and prep quality enhances workflow consistency and clinical confidence 📅 August 19, 2026 🕓 4:00 PM CEST 🗣️ This webinar will be conducted in German. 🔗 Register for free: https://hubs.la/Q04qYWgB0 #MEDITMasterclass #RealtimeIntelligence #RTI #DigitalDentistry #Medit

The biggest misconception about AI in radiology? That it’s just about detecting anomalies. The real bottleneck isn’t just image interpretation; it’s the unstructured, manual reporting workflow that follows it. At Zeltaa, we aren’t just building a point-solution. We are building intelligence infrastructure for diagnostic providers. Our flagship, RadAgent, turns raw imaging studies into structured, clinically aligned reports in minutes. But infrastructure only works if it connects. We are actively looking to partner with: 🤝 Teleradiology networks scaling their operations 🤝 PACS/RIS vendors looking to embed structured reporting 🤝 Diagnostic chains standardizing quality across sites If you’re building in this space, let’s connect and explore how we can integrate our reporting layer into your ecosystem.

Every great platform begins with an idea. For years, healthcare organizations have invested in digital transformation, yet critical clinical information remains fragmented across EMRs, imaging systems, diagnostic devices, laboratory platforms, and other disconnected sources. Every disconnected system creates another barrier to timely, informed clinical decision-making. At xBxBio, we set out to solve a different problem. We didn't build another AI chatbot. We engineered a clinical intelligence platform designed to unify healthcare data, transform it into meaningful clinical insight, and support clinicians with a more connected view of the patient throughout the continuum of care. Today, we're excited to share that the core innovations behind the xBxBio Clinical Intelligence Platform are now the subject of a U.S. Patent Pending application. This milestone represents years of research, engineering, and platform development focused on advancing: • Connected Clinical Intelligence • Healthcare interoperability • AI-assisted clinical decision support • Predictive and prescriptive analytics • Digital Virtual Twin technology • Secure, scalable enterprise architecture for regulated healthcare environments Our vision has always been straightforward: connect fragmented healthcare data and transform it into actionable clinical intelligence that helps healthcare professionals make more informed decisions. This is only the beginning. Over the coming weeks, we'll share more about the platform architecture, the technology behind our approach, and the innovations that make xBxBio different. Thank you to everyone who has supported our journey. #PatentPending #ClinicalAI #HealthcareAI #DigitalHealth #HealthTech #Interoperability #ClinicalIntelligence #HealthcareInnovation #MedicalTechnology #Cardiology #xBxBio

The healthcare industry is seeing significant consolidation, with large organizations acquiring others, leading to complex strategic decisions. These decisions require input from various stakeholders, not just clinical teams, but also crucial support functions that enable operations. Furthermore, integrating diverse workflows across different medical specialties presents challenges, particularly concerning data quality and standardization. An accession number in radiology, for instance, differs from a case number in pathology, necessitating a sophisticated approach to data construction for meaningful use. As imaging technologies evolve with concepts like 'tiles' replacing traditional frames, it's essential to adapt enterprise imaging strategies. This involves understanding each department's unique needs and providing applications that support their specific workflows, rather than expecting them to conform to radiology-centric constructs. Ultimately, the goal is to enable departments to work effectively within their own frameworks. #HealthcareIT #EnterpriseImaging #DigitalHealth #DataQuality #HealthcareStrategy #SIIMAnnualMeeting

Radiology's next competitive edge isn't another algorithm — it's how the whole informatics stack is run. Radiology groups and health systems are under constant pressure: rising imaging volumes, a persistent radiologist shortage, tightening margins, and informatics environments (PACS, RIS, AI orchestration, worklist, reporting) that have grown more complex with every new tool bolted on. Managed Services is emerging as the strategic answer. Instead of stretching internal IT teams thin trying to keep every system patched, integrated, and optimized, organizations are shifting to partners who own uptime, performance, and continuous improvement of the informatics layer — so radiology leaders can focus on diagnostic quality and patient throughput, not ticket queues. Why it matters strategically: Predictable cost structure– Converting unpredictable capital and staffing costs into a scalable operating model. Faster access to innovation– New AI capabilities and workflow tools get deployed and tuned continuously, not once a year during a big-bang upgrade. Reduced operational risk– Proactive monitoring and expert management reduce downtime in systems where minutes matter for patient care. Room to focus on the mission – Radiologists and IT leaders get bandwidth back for clinical quality, not system firefighting. The organizations that will lead in radiology over the next decade won't just have the best algorithms. They'll have the best-run informatics foundation underneath them. #RadiologyInformatics #ManagedServices #HealthIT #MedicalImaging #DigitalHealth

𝐎𝐔𝐑 𝐎𝐅𝐅𝐄𝐑 | 𝐒𝐢𝐝𝐞 𝐛𝐲 𝐬𝐢𝐝𝐞 𝐰𝐢𝐭𝐡 𝐚𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 🤝 Artificial intelligence does not replace a doctor. It creates the greatest value when it becomes the doctor’s intelligent assistant. This philosophy underpinned the creation of BRIGHTER. 💡 🔹 𝐁𝐑𝐈𝐆𝐇𝐓𝐄𝐑 𝐢𝐬 𝐚 𝐬𝐭𝐚𝐭𝐞-𝐨𝐟-𝐭𝐡𝐞-𝐚𝐫𝐭 𝐜𝐚𝐫𝐝𝐢𝐨𝐥𝐨𝐠𝐲 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦 that combines advanced AI-based medical image analysis with the knowledge and experience of specialists. It enables efficient handling of CT, MRI and CT angiography scans by automating the most time-consuming stages of diagnosis. Thanks to its 𝐦𝐨𝐝𝐮𝐥𝐚𝐫 𝐚𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞, users can choose which functions and algorithms to implement, creating a diagnostic environment tailored to their facility's needs. ❗ As a competent assistant, BRIGHTER not only automates diagnostic processes and reduces doctors' workload but also integrates 𝐚𝐥𝐥 𝐤𝐞𝐲 𝐚𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐚𝐥 𝐭𝐨𝐨𝐥𝐬 𝐢𝐧 𝐨𝐧𝐞 𝐩𝐥𝐚𝐜𝐞. This allows specialists to work in a consistent environment without switching between multiple applications. 𝐁𝐑𝐈𝐆𝐇𝐓𝐄𝐑 𝐚𝐬 𝐚𝐧 𝐀𝐈 𝐚𝐬𝐬𝐢𝐬𝐭𝐚𝐧𝐭: ✅ automates image analysis, improving the accuracy, reproducibility and efficiency of diagnosis, ✅ reduces the time spent on tedious, manual tasks, ✅ leaves the doctor in full control of the diagnostic process. Analysis results are editable and can be verified and corrected by a specialist, ✅ supports diagnostic decision-making without replacing expert clinical judgement. BRIGHTER by #GraylightImaging creates a space for effective collaboration between the doctor and artificial intelligence. It is a modern assistant that supports clinicians in their day-to-day work and helps them respond more effectively to contemporary diagnostic challenges. 🌐 𝐋𝐞𝐚𝐫𝐧 𝐦𝐨𝐫𝐞: https://lnkd.in/dZgyS8Ac #AIinCardiology #AIinHealthcare #MedicalImaging #GraylightImaging