Imaging Informatics Unplugged

Thinking about the CIIP, but have no clue where to start?This video breaks down the exam, the eligibility rules, the 10 domains, and the smartest way to figure out what you actually need to study before wasting time. If you work in imaging informatics, PACS, VNA, radiology IT, enterprise imaging, clinical engineering, or healthcare technology, this gives you a practical starting point.In this video, you’ll learn:• what the CIIP actually signals to employers• how the exam is structured• what the 10 test content outline domains are• how the questions are weighted across domains• what the ABII seven-point qualification system is• how to check whether you qualify before diving in• how a free 50-question practice quiz can help you find strengths, spot gaps, and focus your prepThe CIIP is not just for “technical people.” It sits at the intersection of healthcare, operations, systems, workflow, and imaging technology. That’s what makes it valuable, and that’s also why a lot of people feel overwhelmed when they first look at it. This video is meant to make that starting point clearer.I also introduce the CIIP Foundations Program from Nagels Consulting, a structured prep path aligned to the same 10 domains covered on the exam. The goal is simple: help you study with direction rather than guess.Start here:Free 50-Question CIIP Practice Quiz: https://learn.nagelsconsulting.com/course/ciip-practice-tools ABII Eligibility Guide: https://www.abii.org/Qualification-Requirements.aspx Learn more: www.nagelsconsulting.com First five CIIP Foundations courses:CIIP_PROC101: Procurement as a Repeatable Thinking Processhttps://learn.nagelsconsulting.com/course/ciip-proc101 CIIP_PM101: Project Management as a CIIP Core Competencyhttps://learn.nagelsconsulting.com/course/ciip-pm101 CIIP_OPS101: CIIP Operations & System Reliabilityhttps://learn.nagelsconsulting.com/course/ciip-ops101 CIIP_COM101: Communication as a Cross-Domain Disciplinehttps://learn.nagelsconsulting.com/course/ciip-com101 CIIP_EDU101: Training & Education in Imaging Operationshttps://learn.nagelsconsulting.com/course/ciip-edu101 #CIIP #CIIPExam #CIIPCertification #ImagingInformatics #EnterpriseImaging #PACS #VNA #ImagingIT #HealthcareIT #ClinicalEngineering #MedicalImaging #ABII #ExamPrep #NagelsConsulting

How close is AI to real clinical adoption in radiology and medical imaging?In this episode of Imaging Informatics Unplugged, Jason Nagels talks with Dr. Khaled Younis about where AI and machine learning really stand today in radiology, why adoption is still uneven, and what needs to happen next.Dr. Younis brings deep experience across AI research, clinical imaging, and global standards. You can learn more about his work here:https://medaiconsult.com/https://www.linkedin.com/in/dryounis/The conversation digs into the biggest barriers holding imaging AI back, including clinical validation, FDA and regulatory scrutiny, interoperability challenges across PACS, RIS, EHR, DICOM, HL7 and FHIR, as well as bias, trust, explainability and real-world deployment. It also looks at how early CAD systems compare with today’s deep learning era, why many AI vendors still treat standards as an afterthought, and how IHE and ISO are shaping the future of trustworthy AI in imaging.You’ll also hear a practical discussion on federated learning, multi-site collaboration, synthetic data, tumor segmentation, structured AI results, and the role of standards in making AI outputs usable across clinical workflows. Dr. Younis shares where he sees the biggest opportunities ahead, including real-time decision support, AI-assisted intervention, multimodal data integration, and more open, interoperable healthcare ecosystems.If you’re looking to build a stronger foundation in imaging informatics, workflows, and standards like DICOM, HL7, FHIR, and IHE, visit:https://www.nagelsconsulting.com/You can also check out the CIIP Foundations program for a structured, practical approach to understanding how these concepts apply in real-world imaging environments.Topics coveredAI in radiology adoptionMedical imaging AI barriersFDA approval and post-market surveillanceInteroperability in radiology AIIHE profiles and AI resultsISO and trustworthy AIBias in healthcare AIFederated learning in medical imagingSynthetic data for AI trainingStructured reporting and TID 1500Real-time decision supportMultimodal AI in healthcareHashtags#AI #Radiology #MedicalImaging #ImagingInformatics #HealthcareAI #MachineLearning #FederatedLearning #DICOM #IHE #FHIR #HL7 #ClinicalAI #TrustworthyAI #Interoperability #DigitalHealth

Is radiology AI finally living up to the hype — or are we still waiting for the revolution Geoff Hinton promised back in 2012? In this episode of Imaging Informatics Unplugged, Jason sits down with Dr. Ben Fine, a radiologist with a deep background in imaging informatics, AI deployment, and enterprise imaging strategy.Ben shares a refreshingly honest take on where radiology AI actually stands today: only about 1% of imaging workflows are meaningfully augmented by AI tools, and real ROI is still rare — driven more by FOMO than outcomes. But he argues the corner is being turned, as the field shifts from narrow deep learning models to foundation models capable of assisting with full radiology reports.The conversation digs into real-world AI deployment lessons from the AIDE Lab at Trillium Health Partners, where Ben’s team developed a pre-deployment evaluation methodology for PACS-integrated AI tools that has since become best practice. They also explore the Swiss cheese model of human-AI collaboration, why operational workflow use cases (like protocol automation and procedure nomenclature mapping) often beat flashy diagnostic AI for ROI, and what effective AI governance looks like for health systems.Whether you’re a PACS Admin, Imaging Manager, Radiologist, or Healthcare IT professional thinking about enterprise imaging and AI in radiology, this episode is packed with practical, colleague-to-colleague insights.Learn more at nagelsconsulting.comKEY TOPICS COVEREDAmara’s Law and the realistic 3-year outlook for radiology AI — why we’re finally at the inflection point after years of overhypeThe AIDE Lab at Trillium Health: how pre-deployment evaluation of PACS-integrated AI tools became a best-practice framework across OntarioThe Swiss cheese model of human-AI collaboration — why AI and radiologists fail in such different ways, and how to design systems that catch what neither misses aloneOperational AI use cases that deliver real ROI: procedure nomenclature mapping, CT/MRI protocol automation, and bone mineral density (BMD) workflow assistance• Ontario’s centralized diagnostic imaging repository (OCINet/DIR) as an untapped opportunity for population health AI and opportunistic screening at scaleAI governance frameworks for health systems — applying a pharmaceutical-committee model to the selection, validation, deployment, and monitoring of AI toolsThe future skills that matter: why domain expertise combined with AI fluency — not just soft skills — will define the next generation of imaging informatics professionals

What do The Beatles have to do with the invention of the CT scanner?At first glance… nothing.By the time CT scanning was introduced in the early 1970s, The Beatles had already broken up. But the connection between one of the most influential bands in history and one of the most important technologies in modern medicine runs through a company called EMI.In this episode, we explore the surprising story of how revenue generated by Beatles records helped sustain the research division at EMI where Godfrey Hounsfield developed the first computed tomography (CT) scanner.We also explore how CT imaging transformed diagnostic medicine and how the field of imaging informatics helps manage imaging safely today.Topics covered include:• The invention of CT scanning• The role of EMI and Godfrey Hounsfield• The first clinical CT brain scan in 1971• Ionizing radiation and medical imaging• Radiation safety principles like ALARA• The Cedars-Sinai CT dose incident• Standards such as DICOM Radiation Dose Structured Reports (RDSR)• Regional and national dose registriesMedical imaging has revolutionized healthcare, allowing clinicians to see inside the body with unprecedented clarity. But the story behind these technologies sometimes has unexpected connections to music, culture, and history.And in this case… it starts with The Beatles.⸻Learn more about imaging informatics and enterprise imaging: https://www.nagelsconsulting.com⸻#imaginginformatics #medicalimaging #CTscan #radiology #healthcaretechnology #DICOM #ALARA #patientSafety #diagnosticImaging #healthIT

AI in healthcare is everywhere — but very little of it actually works in real clinical environments.In this episode of Imaging Informatics Unplugged, Jason Nagels sits down with Dr. Franz Pfister, physician, data scientist, and CEO of deepc, to discuss what it really takes to operationalize AI in radiology and healthcare workflows.They explore why model accuracy alone isn’t enough, how hospitals deploy AI safely at scale, and what separates real operational AI from marketing hype.If you work in enterprise imaging, radiology, PACS, VNA, healthcare IT, or clinical AI, this conversation is essential⸻What You’ll LearnWhy most healthcare AI pilots never become operationalThe difference between model performance and workflow integrationHow AI is deployed safely inside clinical environmentsPrivacy, governance, and regulatory challenges (GDPR, AI Act)Performance drift and real-world AI reliabilityAgentic AI in healthcare: hype vs realityHow AI will reshape roles in radiology and imaging informatics• Treating AI as infrastructure, not just a tool⸻About the GuestDr. Franz MJ Pfister is a medical doctor, data scientist, and entrepreneur working at the intersection of AI, healthcare, and clinical operations. He studied medicine at Ludwig Maximilian University of Munich and Harvard Medical School, holds a doctorate in neuroscience, an MBA, and a Master’s in Data Science. He is CEO and co-founder of deepc, a company focused on operational AI infrastructure for radiology.⸻About Imaging Informatics UnpluggedImaging Informatics Unplugged explores enterprise imaging strategy, interoperability, PACS, VNA, clinical workflows, healthcare AI, and the future of medical imaging technology.Hosted by Jason Nagels of Nagels Consulting.⸻Learn More Website: https://www.nagelsconsulting.comBook a Meeting with Jason https://meetings.hubspot.com/jason-nagelsWatch on YouTube: https://www.youtube.com/@NagelsConsulting⸻Courses & Training in Imaging Informatics Nagels Consulting provides professional training in:Enterprise ImagingImaging InformaticsPACS & VNA StrategyInteroperability Standards (DICOM, HL7, FHIR)Healthcare AI ImplementationClinical Workflow OptimizationNew courses launching soon → https://www.nagelsconsulting.com

Artificial intelligence is rapidly entering dermatology — but what does it actually take to make AI work in real clinical practice?In this episode of Imaging Informatics Unplugged, Jason Nagels sits down with Dr. Veronica Rotemberg, Director of Dermatology Informatics and Research at Memorial Sloan Kettering Cancer Center, to explore how dermatology is navigating AI, data quality, and real-world implementation challenges.Dermatology is one of the most image-driven specialties in medicine, yet its imaging workflows have evolved very differently from those in radiology and pathology. As AI models promise improved diagnostic performance, new questions emerge around benchmarking, overfitting, clinical context, and bias.In this conversation, we cover:• Why AI became a forcing function for dermatology informatics• The limits of single-image benchmarking and reader studies• The “ugly duckling” concept in melanoma detection• Overfitting risks from lighting, markers, camera differences, and workflow artifacts• Skin tone bias in AI models and why labelling is harder than it sounds• Why testing AI in its intended clinical use setting is critical⸻⏱ Chapters00:00 – Introduction: Dermatology & Imaging Informatics02:33 – Dr. Rotemberg’s Journey into Dermatology Informatics05:26 – The AI Inflection Point (2017) and the Data Wake-Up Call07:58 – The “Wild West” of Dermatology Image Capture09:42 – AI Hype vs. Clinical Reality11:17 – Where AI Actually Fits in Dermatology Today12:45 – Single-Image Benchmarking and Reader Studies15:23 – The “Ugly Duckling” Concept Explained17:58 – Overfitting: Lighting, Cameras, and Workflow Artifacts18:42 – Augmentation Strategies and Hidden Bias Signals21:22 – Skin Tone Bias in Dermatology AI24:47 – Testing AI in the Intended Clinical Use Setting26:09 – The Future of Dermatology Informatics27:38 – “You’re an Informaticist. You Just Don’t Know It Yet.”⸻Dr. Rotemberg holds a PhD in Biomedical Engineering, leads an NIH-funded AI and informatics research lab, chairs the Augmented Intelligence Committee of the American Academy of Dermatology, and serves on the Board of Directors of the Society for Imaging Informatics in Medicine.If you’re interested in enterprise imaging, clinical AI validation, dermatology informatics, or bias in machine learning, this episode delivers a grounded, clinician-informed perspective.🔔 Subscribe for more deep conversations on imaging informatics, AI in healthcare, enterprise imaging, DICOM, FHIR, and real-world clinical systems.🌐 Keep an eye on https://nagelsconsulting.com for upcoming course launches and major updates to our imaging informatics training programs.

If you work in medical imaging, DICOM is everywhere — even when you don’t see it.In this episode of Imaging Informatics Unplugged, Jason Nagels sits down with John Hally, Product Leader for Cloud and Technical Platforms at Merge, to break down what DICOM toolkits really do and why they matter more than ever as imaging expands beyond radiology.John brings over 15 years of medical imaging technical experience and more than a decade in product management, leading global strategy for the Merge VNA, DICOM and HL7 Toolkits, cloud platforms, and digital pathology. This conversation goes deep into the infrastructure that quietly powers interoperability across healthcare.What you’ll learn in this episode: • What a DICOM toolkit actually is (and what it isn’t) • Why AI vendors and new imaging startups often underestimate DICOM complexity • When organizations realize they need a toolkit instead of building DICOM from scratch • Open source vs commercial DICOM toolkits: tradeoffs, risk, and scalability • How cloud-native architectures, ARM processors, and containers are changing imaging platforms • Enterprise imaging beyond radiology: pathology, ophthalmology, scope video, and more • Why HTJ2K (High-Throughput JPEG 2000) is a big deal for large imaging datasets • How standards evolve and why “doing DICOM” doesn’t always mean doing it correctlyThis episode is essential listening for: • PACS administrators and imaging informatics professionals • AI companies entering healthcare imaging • Product managers and developers building imaging platforms • Clinical and technical leaders working on enterprise imaging strategies • Anyone preparing for CIIP or deepening their understanding of imaging standards👉 Like, subscribe, and turn on notifications so you don’t miss future episodes of Imaging Informatics Unplugged.🚀 Keep an eye on nagelsconsulting.com for upcoming courses focused on imaging standards, enterprise imaging, and real-world interoperability. Some big things are coming.

In this episode of Imaging Informatics Unplugged, we explore Interactive Multimedia Reporting (IMR) and why traditional text-based radiology reports are no longer enough for image-driven clinical care.I’m joined by Seth Berkowitz, interventional radiologist, clinical informaticist, and Medical Director of Radiology Informatics at Beth Israel Deaconess Medical Center. Seth led the HIMSS–SIIM whitepaper work defining the technical challenges of vendor-neutral, interoperable multimedia reporting and is deeply involved in RSNA and IHE reporting standards.We discuss:• What Interactive Multimedia Reporting actually is (and what it isn’t)• Why most IMR implementations remain vendor-specific• The role of IHE profiles, FHIR, and DICOM in enabling interoperability• Real-world barriers to adoption, including workflow and reporting time• How AI and structured reporting could finally make IMR scalable• Why reports should behave more like modern digital tools, not static textThis conversation is for radiologists, imaging informatics professionals, CIIPs, vendors, and health IT leaders who care about clarity, interoperability, and the future of imaging communication.Referenced Papers:• Multispecialty Enterprise Imaging Workgroup Consensus on Interactive Multimedia Reporting Current State and Road to the Future: https://link.springer.com/article/10.1007/s10278-021-00450-5 • Interactive Multimedia Reporting Technical Considerations: https://link.springer.com/article/10.1007/s10278-022-00658-z 🔗 Learn more about our work and upcoming courses:https://www.nagelsconsulting.com🔗 Follow Nagels Consulting on LinkedIn:https://www.linkedin.com/company/nagels-consulting👍 If you found this episode useful, please like, subscribe, and share.💬 Let us know what imaging informatics topic you’d like us to tackle next.

Choosing a PACS can shape the next 10 years of your imaging department. Yet many leaders still rely on gut feel, vendor hype, or checklists that do not reflect real clinical operations. In this episode of Imaging Informatics Unplugged, I sit down with Dr. Alex Towbin, Professor of Radiology and the Neil D. Johnson Chair of Radiology Informatics at Cincinnati Children’s Hospital, to break down the complete PACS selection process behind his team’s widely referenced study. The PACS Selection Blueprint: What Every Imaging Leader Gets Wrong | with Dr. Alex TowbinWe cover every stage of the journey. The politics, the data, the shortcomings of vendor demos, and the real-world constraints that most hospitals underestimate. Dr. Towbin explains how his team evaluated 10 PACS vendors, how they neutralized bias within the committee, why radiologists often remain attached to their first PACS, and what PACS 3.0 will require as AI-driven workflows mature.If you are a PACS admin, enterprise imaging strategist, IT architect, radiology leader, or anyone preparing for an upcoming procurement, this episode will give you a clear and practical blueprint to follow.📝 Read the full published paperhttps://link.springer.com/article/10.1007/s10278-025-01672-7⸻In This Episode• How Cincinnati Children’s designed a transparent and data-focused PACS selection process• Why radiologists become “imprinted” on their first PACS and how that shapes department culture• The hidden cost of switching PACS and why minor improvements may not justify a complete replacement• How real anonymized data exposed significant weaknesses in vendor demos• What to expect in the shift toward PACS 3.0 with AI-enabled and automated workflows• Why database access, technologist workflows, and support models often matter more than shiny features• How to scale your procurement approach based on the impact of the system• What imaging leaders should rethink heading into their next PACS evaluation cycleChapters0:00 When your PACS feels tired – episode setup2:09 Meet Dr. Alex Towbin and the PACS selection study2:39 Why Cincinnati Children’s re-evaluated their PACS3:41 How radiologists get “imprinted” on their first PACS5:32 Alex’s journey across three generations of PACS6:14 Principles for a fair and transparent PACS selection8:53 Equal voice for radiologists, technologists, and IT11:24 Balancing data, emotion, and gut feel in decisions14:03 Sticking with the incumbent and the real cost of switching17:42 Asking vendors to load real anonymized pediatric data24:22 Lessons learned and how they would run the next RFP25:42 Support models, database access, and working with vendors30:50 Final advice⸻🎓 Advance your Imaging Informatics Skills• Courses: https://learn.nagelsconsulting.com• Consulting and Solutions: https://nagelsconsulting.com• Spotify: • LinkedIn: https://www.linkedin.com/company/nagels-consulting⸻🎧 Listen on Spotifyhttps://open.spotify.com/show/4DAxDXd0kpvRh6NwvSJiVF📺 Watch on YouTubehttps://www.youtube.com/@NagelsConsulting

In this conversation, Rishi Nayyar discusses his journey from banking to healthcare innovation, focusing on patient access to medical images and the role of AI in enhancing patient understanding and automating workflows. He emphasizes the importance of empowering patients with control over their data while also addressing the challenges of image exchange and the need for efficient non-clinical workflows. The discussion highlights the significance of building trust in AI solutions and the ongoing efforts to improve patient engagement and data management in healthcare.Takeaways:-Rishi Nayyar transitioned from banking to healthcare to address patient access to medical images.-The initial inspiration came from a personal experience with outdated technology in medical imaging.-Patient empowerment is crucial for reducing reliance on CDs for medical images.-Both patient-to-provider and provider-to-provider access are essential for effective image exchange.-Patients engage more with their health data during significant health issues.-AI can enhance patient understanding of medical reports through layman translations.-Automating non-clinical workflows can significantly improve efficiency in healthcare.-Data retention policies vary widely among healthcare organizations.-Trust in AI solutions is built through transparency and reliability.-Healthcare systems must adapt to new technologies while maintaining patient care quality.⸻🎓 Advance your Imaging Informatics Skills• Courses: https://learn.nagelsconsulting.com• Consulting & Solutions: https://nagelsconsulting.com• LinkedIn: https://www.linkedin.com/company/nagels-consulting⸻📺 Watch on YouTubehttps://www.youtube.com/@NagelsConsulting⸻

In this episode of Imaging Informatics Unplugged, Jasonwelcomes back Don Dennison, CIIP, FSIIM, and Mohannad Hussain for a deep dive into the evolution of the Imaging Informatics Career Development Matrix — nowreborn as a fully web-based platform at IIPCareers.com.The discussion continues from our last conversation(https://www.youtube.com/watch?v=7KIMlAsngBA&t=751s), where the team explored how imaging professionals can define, assess, and grow their skills inthis rapidly evolving field. In this episode:Don demos the new web interface that replaces the originalExcel matrix.Mohannad explains how the tool’s database-driven backendenables real-time updates and community feedback.Learn how to use role-based skill mapping, AI-poweredcareer planning, and prompt templates for job descriptions and quizzes.See how institutions can apply this tool to standardizejob roles, guide professional development, and identify training needs acrossimaging domains. Whether you’re a PACS admin, analyst, or imaging leader —this conversation will show you how to take control of your growth in imaginginformatics and empower your teams to do the same. ⸻ 🔗 Featured Resource 🧠 Explore the tool: https://iipcareers.com ⸻ 👏 Special Acknowledgment A huge thank you to Ghadeer Albattarni for her contributionsin helping develop the IIPCareers.com platform. Your expertise and collaboration helped bring this resource to life!⸻🎓 Advance your Imaging Informatics SkillsCourses: https://learn.nagelsconsulting.comConsulting & Solutions: https://nagelsconsulting.comLinkedIn:https://www.linkedin.com/company/nagels-consulting⸻📺 Watch on YouTubehttps://www.youtube.com/@NagelsConsulting⸻ 📌 Stay Connected🌐 Website: https://www.nagelsconsulting.com🎓 Courses: https://learn.nagelsconsulting.com🔗 LinkedIn:https://www.linkedin.com/company/nagels-consulting ⸻

What happens when large language models (LLMs) move from casual conversations into clinical practice? In this episode of Imaging Informatics Unplugged, Dr. Woojin Kim joins Jason Nagels to explore the hype, reality, and future of AI in radiology.Dr. Kim is the Chief Strategy Officer and CMIO at HOPPR, Chief Medical Officer at the ACR Data Science Institute, and a musculoskeletal radiologist at the Palo Alto VA Medical Center. He’s also a proven entrepreneur, co-founding Montage Healthcare Solutions and Equium Intelligence, both acquired by major players in imaging AI.We cover: How Dr. Kim consumes 4–6 hours of AI research daily using tools like Notebook LM and Recall  The underestimated risk of silent degradation in clinical AI models and why continuous monitoring matters  The difference between prompt engineering vs. context engineering for PACS and RIS integration  Opportunities and pitfalls of structured reporting with LLMs  Critical discussions on bias, fairness, and synthetic data in radiology AI  Where Dr. Kim sees the field heading: multimodal models, agentic AI, and the evolving role of the radiologist If you’ve ever wondered how much we can really trust AI in clinical imaging, this episode offers an unfiltered look at the challenges and opportunities shaping the next decade.🔔 Don’t forget to like, subscribe, and hit the bell to stay updated on future episodes exploring the intersection of imaging, informatics, and AI.👉 Learn more at:🌐 https://www.nagelsconsulting.com📘 https://learn.nagelsconsulting.com

🎙️ Featuring Toni Skokovic | Imaging Informatics Unplugged | Ep. 2Why is healthcare interoperability still so difficult—even with mature standards like HL7, DICOM, and FHIR? In this episode of Imaging Informatics Unplugged, Jason sits down with Toni Skokovic, a 25-year health tech veteran and founder of YourRevenuePlan, to explore what’s really blocking progress.Whether you’re a provider, vendor, PACS admin, or health IT strategist, this conversation goes deep on what’s broken—and what we can finally do about it.🔍 What we cover in this episode: • Why “integration” ≠ interoperability • The real cost of automation without alignment • How agentic AI fits into healthcare workflows (and where it doesn’t) • Why adoption still fails after go-live • Practical steps for providers to tackle real workflow bottlenecks • How vendors can sell solutions instead of specs • The importance of measuring outcomes, not just implementing features📅 UPCOMING TRAINING:Join us for EIB_110: Enterprise Imaging for Business Professionals, a 1-day course split across two half-day live sessions on September 17th and 18th.Ideal for imaging IT teams, clinical ops leaders, and vendor staff.📘 Register here → https://learn.nagelsconsulting.com/course/eib-110-september—🔔 Don’t forget to like, subscribe, and hit the bell to stay updated on future episodes exploring the intersection of imaging, informatics, and AI.👉 Learn more at:🌐 https://www.nagelsconsulting.com📘 https://learn.nagelsconsulting.com🔗 https://www.linkedin.com/company/nagels-consulting#HealthcareInteroperability #ImagingInformatics #HealthIT #EnterpriseImaging #FHIR #DICOM #HL7 #AgenticAI #PACS #MedicalImaging #DigitalHealth

In this episode of Imaging Informatics Unplugged, Dr. Mana Moassefi (incoming Radiology resident at Mayo Clinic) shares insights from a groundbreaking multi-institutional study that evaluated the use of large language models (LLMs) to annotate radiology reports — without any model training.Mana and her collaborators from institutions including Mayo Clinic, UCSF, Moffitt Cancer Center, Harvard Medical School, UC Irvine, and Emory used prompt engineering to guide commercial LLMs in extracting diagnostic labels from 3,000 radiology reports. The study found:🧠 LLMs outperformed traditional NLP due to better contextual understanding🛠️ Prompt engineering was critical, often outperforming chat-based approaches📊 Structured reporting improved accuracy, but radiologist variability still introduced challenges😵‍💫 Hallucinations occurred, especially when LLMs were uncertain — leading to verbose, off-topic answers📈 Consistency matters: AI may not be perfect, but it’s reliably imperfect — a surprising edge over human variabilityWe also explore future use cases, from structured patient-facing summaries to multi-agent AI workflows that could quantify uncertainty and improve communication across clinical systems.🔔 Don’t forget to like, subscribe, and hit the bell to stay updated on future episodes exploring the intersection of imaging, informatics, and AI.👉 Learn more at:🌐 https://www.nagelsconsulting.com📘 https://learn.nagelsconsulting.com🔗 https://www.linkedin.com/company/nagels-consulting

In this episode of Imaging Informatics Unplugged, we sit down with Dr. Jay Crawford—educator, innovator, and one of the foundational voices in imaging informatics. With over 30 years of experience, Jay has helped shape the field from the early days of PACS and digital imaging to global training initiatives in places like Malawi.We explore why technical skills alone are no longer enough, how to build transferable knowledge beyond button-clicking, and the soft skills today’s professionals need to truly thrive. Jay also shares hard-won lessons from training imaging professionals across dramatically different healthcare environments and the importance of adapting to local realities.This episode is packed with insight for PACS admins, imaging analysts, healthcare IT professionals, educators, and anyone looking to level up in this space.🌐 Website: https://www.nagelsconsulting.com🎓 Courses: https://learn.nagelsconsulting.com🔗 LinkedIn: /nagels-consulting

In this episode of Imaging Informatics Unplugged, we explore one of the standout tools from SIIM 2025 — the Imaging Informatics Career Development Matrix, presented by Don Dennison during this year’s Dwyer Lecture.The matrix serves as a practical guide for:Defining key roles and career paths in imaging informaticsSupporting individual growth and team developmentIdentifying gaps and planning workforce capabilitiesLeveraging AI for training, interviews, and performance alignmentAdvancing a collaborative, open-access framework for the fieldDon Dennison is joined by Brad Genereaux and Mohannad Hussain, offering insights into the development process, real-world applications, and the vision for community stewardship moving forward.🔗 Explore the Imaging Informatics Career Matrixhttps://siim.org/resource/imaging-informatics-career-matrixdefine-compare-and-advance-your-imaging-informatics-knowledge/🎓 Advance your imaging informatics skills• Courses: https://learn.nagelsconsulting.com• Consulting & solutions: https://nagelsconsulting.com• Spotify: https://open.spotify.com/show/4DAxDXd0kpvRh6NwvSJiVF?si=8d0b1c6a56994b78• LinkedIn: https://www.linkedin.com/company/nagels-consulting🔔 Subscribe to stay current on the people, platforms, and principles shaping the future of imaging informatics.=#ImagingInformatics #SIIM2025 #RadiologyIT #CIIP #CareerMatrix #HealthcareIT #PACS #NagelsConsulting #DwyerLecture #MedicalImaging #AIinHealthcare #HealthcareCareers

In this episode of Imaging Informatics Unplugged, Jason sits down with Robert MacDougall to unpack one of the most talked-about — and often misunderstood — concepts in healthcare: the digital twin.🎯 What exactly is a digital twin in the context of radiology?💡 How can it be used to optimize imaging operations, increase access, improve patient satisfaction, and boost revenue?📊 Why are semantic interoperability and a unified data layer critical for success?Robert shares insights into building a digital twin of the radiology department — modelling scanner usage, staffing, scheduling, quality, and operational efficiency using DICOM, HL7, and proprietary semantic layers.We also discuss:• The real-world barriers to digital twin adoption in radiology• How AI and agentic automation are starting to reshape radiology ops• The evolution from dashboards to dynamic, intervention-driven systems• Governance and trust in AI-powered recommendations• Why the future of radiology needs smarter, interoperable infrastructure📌 Whether you’re a PACS admin, imaging department lead, healthcare CIO, or just digital health curious — this episode is full of practical insights on the future of imaging operations.

In this episode of Imaging Informatics Unplugged, we sit down with the legendary David Clunie — radiologist, medical informaticist, and longtime editor of the DICOM standard. If you’ve ever worked in medical imaging, you’ve likely used a tool or reference authored by David, and today, we get to dive deep into his incredible journey.We explore the history of DICOM, the role of open standards, current barriers to interoperability, and what the future of digital pathology could look like. Whether you’re a PACS admin, clinical informaticist, vendor rep, or standards geek, this episode delivers rare insights from one of the most influential minds in the field.💬 What you’ll learn in this episode: • How DICOM emerged and evolved into the global imaging standard • The complementary roles of HL7, FHIR, and IHE frameworks • Why digital pathology has faced more resistance than radiology • The technical and business barriers to interoperability • How metadata and conformance still present challenges for vendors and healthcare organizations • Predictions for the next decade of imaging standards and AI-enabled workflows🔗 Connect with David Clunie on LinkedIn: https://www.linkedin.com/in/dclunie/⸻⏱ Chapters00:00 – The Evolution of DICOM: A Historical Perspective10:10 – The Role of Open Standards in Imaging19:49 – Challenges in Digital Pathology and Interoperability28:20 – Barriers to Interoperability in Pathology30:50 – The Business Case for Digital Pathology35:00 – Evolution of DICOM Standards39:48 – The Future of DICOM and Digital Pathology⸻🎧 Listen on Spotify:https://open.spotify.com/show/4DAxDXd…📺 Watch on YouTube:/@nagelsconsulting⸻📌 Stay Connected:✅ Subscribe for more:/@nagelsconsulting🌐 Website: https://www.nagelsconsulting.com🎓 Courses: https://learn.nagelsconsulting.com🔗 LinkedIn: /nagels-consulting

In this episode of Imaging Informatics Unplugged, we’re joined by Mike Wesolowski, medical physicist and CEO of Luxsonic, to explore how virtual reality (VR) is redefining diagnostic imaging, medical education, and access to care.From fully immersive diagnostic PACS to collaborative virtual tumor boards, Mike walks us through what it takes to build a regulatory-approved VR platform for radiology—and why immersive environments could be the key to solving real-world workflow and access challenges.Whether you’re interested in enterprise imaging, med ed, or AI, this conversation offers a bold look at the future of radiology—without the walls of a traditional reading room.💬 Topics Covered:• Using VR for diagnostic imaging and PACS access• How immersive tech improves focus and reduces distractions• Radiology education and training inside virtual environments• Regulatory hurdles and clinical adoption of VR platforms• Future convergence of VR and AI in healthcare⏱️ Chapters:00:00 Revolutionizing Radiology with Virtual Reality02:04 The Evolution of VR in Healthcare07:31 Overcoming Adoption Barriers in Radiology10:15 Enhancing Focus and Reducing Distractions13:12 Transforming Medical Education with VR16:39 The Future of AI and VR in Healthcare🎧 Listen on Spotify:https://open.spotify.com/show/4DAxDXd0kpvRh6NwvSJiVF?si=ececaef484e54034📺 Watch on YouTube:https://www.youtube.com/@NagelsConsulting🔗 Connect with Mike Wesolowski:https://www.linkedin.com/in/mikewesolowski/🌐 Learn more about Luxsonic:https://luxsonic.ca/📌 Stay Connected:✅ Subscribe for more: https://www.youtube.com/@NagelsConsulting🌐 Website: https://www.nagelsconsulting.com🎓 Courses: https://learn.nagelsconsulting.com🔗 LinkedIn: https://www.linkedin.com/company/nagels-consulting

Missed the MIIT 2025 Conference in Hamilton? We’ve got you covered.This episode of Imaging Informatics Unplugged features a high-level, AI-generated recap of the Medical Imaging Informatics and Teleradiology (MIIT) conference — one of Canada’s most dynamic and forward-thinking gatherings in the imaging informatics space. Learn more at https://miit.ca.We fed every presentation from MIIT 2025 into Notebook LM, a generative AI tool, and asked it to synthesize key themes, trends, and insights. No fluff. No vendor bias. Just a solid digest of what was shared, debated, and imagined for the future of imaging.⸻💡 What You’ll Learn🧠 How AI is reshaping imaging: augmentation, not replacement🧩 Why interoperability is central to everything from AI to workflow🏥 What large-scale projects (like Saudi Arabia’s VNA & Canada’s Arctic initiatives) can teach us🔓 How open-source tools and collaborative communities are redefining innovation🌍 Why digital equity, task-shifting, and community-led training matter now more than ever⸻🎧 Listen on Spotify:https://open.spotify.com/show/4DAxDXd0kpvRh6NwvSJiVF?si=ececaef484e54034📺 Watch on YouTube:https://www.youtube.com/@NagelsConsulting⸻🚀 More from Nagels Consulting:🌐 Website: https://www.nagelsconsulting.com🎓 Courses: https://learn.nagelsconsulting.com🔗 LinkedIn: https://www.linkedin.com/company/nagels-consulting📬 Subscribe for updates and insights

In this episode of Imaging Informatics Unplugged, we’re joined by Ameena Elahi, Director of Informatics Operations at RAD-AID and Associate Director of AI Initiatives at Penn Medicine.We explore what it really takes to implement imaging informatics, PACS systems, and AI tools in low- and middle-income countries (LMICs) — from infrastructure and training to ethical deployment and long-term sustainability.Whether you work in global health, radiology, or clinical informatics, this conversation offers fresh insights into the real-world challenges and meaningful solutions behind global imaging access.💬 Topics Covered: • How RAD-AID builds imaging capacity in LMICs • Deploying PACS and AI in low-resource settings • Infrastructure gaps and connectivity barriers • Ethics and explainability in global AI tools • Clinical training and partnerships for long-term success • Ameena’s journey in health tech and equity-focused innovation🎧 Listen on Spotify:https://open.spotify.com/show/4DAxDXd0kpvRh6NwvSJiVF?si=ececaef484e54034📺 Watch on YouTube:https://www.youtube.com/@NagelsConsulting🔗 Connect with Ameena Elahi: https://www.linkedin.com/in/ameenaelahi🌍 Learn more about RAD-AID: https://rad-aid.org🤝 Interested in volunteering with RAD-AID?Learn more here: https://rad-aid.org/about-us/volunteering/📌 Stay Connected🌐 Website: https://www.nagelsconsulting.com🎓 Courses: https://learn.nagelsconsulting.com🔗 LinkedIn: https://www.linkedin.com/company/nagels-consulting

With the rise of Machine Learning (ML) in Medical Imaging, training AI models requires real-world data—but how do we ensure Protected Health Information (PHI) stays private?In this episode of Imaging Informatics Unplugged, we sit down with Luke Bideaux, BSRT, RT (R), CIIP, President & CEO of Vega Imaging Informatics, to break down:✅ The challenges of de-identifying medical imaging data✅ Why DICOM metadata & pixel data need special handling✅ The best tools & techniques for PHI protection✅ When re-identification is necessary🎙 About Our Guest: Luke Bideaux has worked in leadership roles at multiple imaging vendors & provider-based organizations in the U.S. He’s a published author, industry advocate, and expert in imaging informatics, interoperability, & data privacy. He trained in radiography at Mayo Clinic (Rochester, MN) and holds certifications from ARRT & ABII.🔗 Connect with Luke & Vega Informatics:🌐 Website: https://vegainformatics.com📢 LinkedIn:https://linkedin.com/in/lukebideaux🎧 Subscribe & Stay Updated!✅ Get expert insights on Imaging Informatics, AI/ML, Interoperability, and more → https://www.youtube.com/@NagelsConsulting🔔 Hit the bell to stay notified of new episodes!📚 Expand Your Knowledge on Imaging Informatics🌐 Website: https://www.nagelsconsulting.com🎓 Courses: https://learn.nagelsconsulting.com🔗 Connect with Us on LinkedIn → https://www.linkedin.com/company/nagels-consulting

In this episode of Imaging Informatics Unplugged, hosts sit down with Nikki Fennell and Chuck Socia to dive into the Certified Imaging Informatics Professional (CIIP) designation. They explore the value of certification, the qualifications needed to take the exam, effective study strategies, and how CIIP certification can accelerate career growth. The discussion highlights how certification validates expertise in imaging informatics and its role in the evolving landscape of the profession. 🔗 Learn More: For more information on imaging informatics and to expand your knowledge, visit www.nagelsconsulting.com and explore our courses: https://learn.nagelsconsulting.com/Follow us on LinkedIn: https://www.linkedin.com/company/nagels-consulting📌 Subscribe for More Insights on AI, Medical Imaging & Healthcare Innovation! 🔔

How is AI transforming medical imaging? And more importantly, how do we integrate AI into workflows while maintaining interoperability and efficiency?In this episode of Imaging Informatics Unplugged, Herman Oosterwijk, a globally recognized expert in DICOM, PACS, HL7, and imaging informatics, joins us to discuss:✅ Front-End vs. Back-End AI – What's the difference & why does it matter?✅ How AI is reshaping radiology – From image enhancement to automated reporting✅ RSNA 2024 Recap – Key AI trends & Herman's insights on the industry's future✅ Overcoming AI adoption challenges – Governance, data diversity & integration friction✅ Zero-Click AI & workflow automation – Making AI seamless for radiologists. With decades of experience training thousands of professionals across 20+ countries, Herman brings an unmatched perspective on how AI is impacting medical imaging and what’s next.🎙 Guest: Herman Oosterwijk🔗 Connect with Herman: https://www.linkedin.com/in/hermanoosterwijk/Mistakes Are Very Different from Human Mistakes: https://www.schneier.com/blog/archives/2025/01/ai-mistakes-are-very-different-from-human-mistakes.html📌 Subscribe & Stay Updated!✅ Get expert insights on Imaging Informatics, AI/ML, Interoperability, and more → https://www.youtube.com/@NagelsConsulting🔔 Hit the bell to stay notified of new episodes!📚 Expand Your Knowledge of Imaging Informatics🌐 Website: https://www.nagelsconsulting.com🎓 Courses: https://learn.nagelsconsulting.com🔗 Connect with Us on LinkedIn → https://www.linkedin.com/company/nagels-consulting

AI is transforming medical imaging, and 16-Bit is at the forefront of predictive care innovation. In this episode, we explore how AI-driven tools are reshaping osteoporosis screening, the challenges of entrepreneurship in healthcare, and the complexities of regulatory approval. AI in Medical Imaging: Transforming Healthcare & Startup Lessons 🔍 Topics Covered:✅ AI’s role in predictive medical imaging✅ How 16-Bit is improving osteoporosis screening with existing X-ray data✅ The highs and lows of the startup journey✅ Navigating regulatory hurdles for medical AI tools✅ The importance of team culture and strong advisory networks💬 Key Takeaways:🔹 AI is making predictive care more attainable🔹 Entrepreneurship requires a mix of optimism and practicality🔹 Regulatory approvals can be complex but crucial for success🔹 The right advisors can accelerate approval processes🔹 Cultural fit within a team can amplify long-term success🔗 Learn More: For more information on imaging informatics and to expand your knowledge, visit www.nagelsconsulting.com and explore our courses:https://learn.nagelsconsulting.com Follow us on LinkedIn: https://www.linkedin.com/company/nagels-consulting📌 Subscribe for More Insights on AI, Medical Imaging & Healthcare Innovation! 🔔

In this conversation, Alex Goel, founder of Topology https://topology.health Discusses the evolution and impact of FHIR™ on healthcare data exchange. He shares insights from his extensive experience with healthcare standards, the challenges of integrating new technologies, and the importance of high-quality data in leveraging AI tools. The discussion also touches on the hybrid nature of current healthcare systems, where legacy HL7 standards coexist with modern FHIR™ implementations and the future of interoperability.Learn More: For more information on imaging informatics and to expand your knowledge, visit www.nagelsconsulting.com and explore our courses: https://learn.nagelsconsulting.com/coursesDon’t forget to like and subscribe to stay updated with the latest in medical imaging informatics! Connect with Us:Subscribe to the channel for more interviews and insights on healthcare interoperability!Follow us on LinkedIn: https://www.linkedin.com/company/nagels-consulting

In this conversation, Mohannad shares his journey from working in a corporate environment to becoming an independent consultant in medical imaging. He discusses the motivations behind his transition, the challenges he faced in establishing his own business, and the importance of networking and community support. Mohannad reflects on the unexpected realities of self-employment, including the increased workload and the satisfaction of seeing the direct results of his efforts. He also touches on the balance between his passion for coding and the demands of consulting work.Learn More: For more information on imaging informatics and to expand your knowledge, visit www.nagelsconsulting.com and explore our courses: https://learn.nagelsconsulting.com/coursesDon’t forget to like, subscribe, to stay updated with the latest in medical imaging informatics!Connect with Us: Subscribe to the channel for more interviews and insights on healthcare interoperability!Follow us on LinkedIn: https://www.linkedin.com/company/nagels-consulting

Point of Care Ultrasound (POCUS) is revolutionizing healthcare by giving clinicians real-time insights right at the bedside. But with great power comes great responsibility — implementing POCUS properly can be challenging, and governance is essential to success.In this episode of Imaging Informatics Unplugged, we sit down with Allan Bottemiller, a leading medical imaging and informatics expert. Allan has been at the forefront of POCUS integration, chairing a joint working group within the HIMSS/SIIM Enterprise Imaging Working Group in collaboration with AIUM. We discuss the critical governance considerations for POCUS, practical tips for deployment, and why POCUS is being called the 21st-century stethoscope.📌 Key Topics Covered:✅ The rise of POCUS as an essential diagnostic tool✅ Governance challenges and practical deployment tips✅ Insights from the latest white paper on POCUS governance✅ Real-world applications and how to avoid common pitfalls✅ Why effective POCUS integration is critical for patient care⸻📝 Referenced Paper: Governance Considerations for Point of Care Ultrasound: pubmed.ncbi.nlm.nih.gov/39753828/📚 Expand Your Knowledge on Imaging Informatics🌐 Website: www.nagelsconsulting.com🎓 Courses: http://learn.nagelsconsulting.com🔗 Connect with Us on http://linkedin.com/company/nagels-consulting