Faces of Digital Health

Up to 24% of operating-room time can be recovered without making a single operation faster, says surgeon and Proximie CEO Nadine Hachach-Haram. In this Faces of Digital Health interview, Nadine Hachach-Haram, a practising surgeon and the founder and CEO of Proximie, explains how the company moved from surgical telepresence to an ambient intelligence layer for the operating room, and why most of the inefficiency in surgery sits around the procedure rather than inside it. She discusses de-identification at source, what change management in hospital deployments involves, how Proximie uses AI internally, and what the same technology does in low-resource settings, from telementoring in Kenya to a remote-assisted operation on her own mother. Guest Nadine Hachach-Haram, Founder and CEO, Proximie; practising surgeon What the conversation covers • Operating-room efficiency: turnover time, first-case on-time starts and OR throughput • Ambient intelligence in the OR and the documentation burden on theatre staff • Why EHR data can misattribute surgical inefficiency • Surgical telepresence, remote telementoring and virtual scrubbing-in • Blurring and de-identification of OR video at source • Hospital implementation, hypercare and change management • How a health-tech company uses AI internally: an in-house productivity team • Surgery in the Global South and lessons for rural health systems • Procurement across the NHS, the US, Europe and the Middle East • The smart operating room: surgical co-pilots, robotics and connected intelligence Chapters 02:30 Introduction: access to surgery and running a company in the AI era 02:42 From telepresence to an operating-room intelligence layer 09:34 Ambient intelligence and the OR documentation burden 10:13 Regulation and de-identification at source 13:01 Hypercare and change management in hospital deployments 15:50 Clinically led product development and early scepticism 19:31 R&D investment and competition across 300,000 operating rooms 21:31 Running Proximie with AI: the internal productivity hub 28:33 A surgeon-CEO's AI stack, and its limits 33:57 Efficiency around the procedure: turnover and first-case starts 39:07 Surgery in the Global South and telementoring in Kenya 45:42 The patient perspective: a remote-assisted operation 49:12 Procurement, payment and the smart OR of the next decade Faces of Digital Health Website: https://www.facesofdigitalhealth.com Newsletter: https://fodh.substack.com LinkedIn: https://www.linkedin.com/company/faces-of-digital-health Spotify: https://open.spotify.com/show/4cElKJHrauyP6QJQaCkvdY Apple Podcasts: https://podcasts.apple.com/gb/podcast/faces-of-digital-health/id1194284040 #FacesOfDigitalHealth #Proximie #SurgicalAI #OperatingRoom #GlobalSurgery #DigitalHealth #HealthcareAI

In 2017, the Catalan Health Service launched one of Europe’s most ambitious health digitalisation strategies. After two decades of building links between separate regional systems, Catalonia would move to a single common data layer, structured with openEHR, and place every application on top of it. The aim was data that is consistently structured, and therefore usable beyond the system that first recorded it. Jordi Piera Jiménez, now Director of the Digital Health Strategy Office at the Catalan Health Service, led the strategy. Nine years on, it is still being implemented, and he says he would write it exactly the same way today. At the end of October, I moderated a fireside chat with Jordi at the Campus Clínic Innova Summit 2026 in Barcelona. We discussed the right approach to healthcare data in 2026, the state of interoperability in Europe and what AI changes. We also asked a more basic question: does the sector know what to do with its data at all, when so much of it is unreliable? According to HIMSS’s 2026 AI and digital transformation landscape report for North America, only 47% of leaders are confident their data is accurate, and only 21% say it is fully leveraged for clinical and operational decision-making. HAT THE CONVERSATION COVERS • Who does what: openEHR, SNOMED CT, LOINC and HL7 FHIR • Why AI models don't transfer between hospitals: semantics, not only populations • Catalonia's infrastructure-first digital health strategy and the open platform in healthcare • The platform economy analogy: iOS and Android versus BlackBerry • Patient identifiers, patient matching and the longitudinal health record • EHR data quality: copy-paste clinical notes, 400–600 data silos, unused data • "Right data, right time": why more clinical data is not the goal • AI scribes, patient-generated data and parallel health records • The 17-year adoption gap in healthcare and pressure from the consumer market • Clinicians using LLMs as "Dr Google 2.0", answer consistency and guardrails for CIOs • Digital health training in medical and nursing education • Vibe-coded clinician apps, regulation and owning your digital infrastructure • The WHO/ITU reference architecture for digital public infrastructure for health • Vendor lock-in versus a common data layer: Norway, Sweden, Finland and Asklepios CHAPTERS 03:00 Back from Sydney: standards bodies find common ground 04:40 "No hope for AI yet": openEHR, SNOMED, LOINC and FHIR explained 06:45 Infrastructure first: Catalonia's strategy and the COVID algorithm that couldn't travel 08:10 The open platform in healthcare: lessons from iOS, Android and BlackBerry 10:55 Would the strategy change today? Data silos and patient identifiers 12:05 EHR data quality: copy-paste notes, 400–600 silos, unused data 15:30 Do clinicians need all the data? Right data, right time 17:05 AI scribes, patient-generated data and the 17-year adoption gap 20:10 LLMs as "Dr Google 2.0": consistency, risk and guardrails 22:25 Training clinicians for digital health 24:35 Vibe-coded apps, vendor lock-in and owning your infrastructure 27:35 The WHO/ITU reference architecture for digital public infrastructure for health 28:40 The North Star: Nordic regions, Asklepios and the platform economy FACES OF DIGITAL HEALTH Website: https://www.facesofdigitalhealth.com Newsletter: https://fodh.substack.com LinkedIn: https://www.linkedin.com/company/faces-of-digital-health Spotify: https://open.spotify.com/show/4cElKJHrauyP6QJQaCkvdY Apple Podcasts: https://podcasts.apple.com/gb/podcast/faces-of-digital-health/id1194284040 #openEHR #interoperability #HL7FHIR #SNOMEDCT #digitalhealth #healthdata #Catalonia #healthcareAI #vendorlockin #digitalpublicinfrastructure #FacesOfDigitalHealth

Malta's health centres settled the digitisation question years ago. The harder work, Dr Stefan Buttigieg argues, starts now. Malta's public primary care has run on an electronic patient record since its rollout began in late 2019. With the European Health Data Space now moving from regulation to implementation, the question in Maltese health centres is no longer whether to digitise but what a mature record should do next. Dr Stefan Buttigieg, who first joined Faces of Digital Health in 2019 to discuss Malta as a gateway to the European market, returns after moving from national eHealth work into Primary HealthCare. He sets out why data governance has to come before AI, why AI implementation depends on hardware and care pathways as much as software, and why he would rather build tools clinicians never need to be trained on. Guest Dr Stefan Buttigieg – Specialist in Public Health Medicine, Ministry for Health and Active Ageing, Malta (Primary HealthCare); creator of the EHDS Explorer Host Tjaša Zajc – Founder, Faces of Digital Health What the conversation covers • EHDS implementation in primary care: from national policy to the clinic • Malta's electronic patient record for primary care, seven years on • MyHealth@EU and cross-border patient summaries since 2019 • Setting up a national contact point for eHealth: the small-state advantage • The EHDS Explorer: an independent, vibe-coded guide to the regulation and member-state implementation tracking • Digital health authorities and health data access bodies ahead of March 2027 • Health data governance and data quality as the precondition for AI • AI in breast screening, ophthalmology and diabetes care • Why AI implementation depends on hardware, integration and the care pathway • Malta's AI for All programme and Copilot across government • AI literacy for clinicians, and the case for AI that needs no training • Clinical documentation for care: Europe and the US compared • The 2027 goal: restoring clinicians' joy in documentation Chapters 03:00 Malta as a European test bed, revisited 03:36 From national EHDS policy to EHDS on the ground 05:49 Primary care seven years after the electronic patient record 08:57 MyHealth@EU and cross-border patient summaries 13:28 Building a national contact point: lessons from a small state 16:35 Vibe-coding the EHDS Explorer and tracking implementation 19:41 Primary care priorities: data governance before AI 22:47 AI already in use: Copilot and Malta's AI for All 26:22 Why AI implementation is a hardware and care-pathway problem 30:19 The 2027 goal: joy in clinical documentation 32:19 Documentation for care: Europe and the US compared 33:59 AI literacy for clinicians, or AI that needs no training Listen and subscribe: Podcast (Spotify): https://open.spotify.com/show/4cElKJHrauyP6QJQaCkvdY Apple Podcasts: https://podcasts.apple.com/gb/podcast/faces-of-digital-health/id1194284040 Newsletter: https://fodh.substack.com LinkedIn: https://www.linkedin.com/company/faces-of-digital-health Website: https://www.facesofdigitalhealth.com Youtube: https://www.youtube.com/@facesofdigitalhealth #EHDS #EuropeanHealthDataSpace #PrimaryCare #ClinicalAI #DigitalHealth #Malta #FacesOfDigitalHealth

Her relative said it was nothing. Two weeks of symptom history in ChatGPT said get checked. She was diagnosed at stage one. In early 2023, Alvina Nadeem was 36, a mother of two young boys, and tired in a way she put down to burnout or perimenopause. She was already a heavy ChatGPT user through her work in change management, so she tried something she had never done: she described her symptoms to it. When the model refused to answer first-person health questions, she reframed herself as a clinical case for a medical resident and asked it to explain its reasoning. Ovarian cancer appeared as one of four possibilities. What followed — a post-it note of symptoms to present together, a GP who ordered imaging, a stage one diagnosis — is the starting point for a wider conversation about how patients actually use AI: to navigate the health system, to filter misinformation, and to carry their own story between specialists who cannot see each other's notes. This episode describes one patient's experience and is not medical advice. If you have persistent symptoms, speak to a clinician. GUEST Alvina Nadeem — Professional engineer (P.Eng.), change management advisor and leadership coach; Board member, Ovarian Cancer Canada; Co-director, Cancer and Work; Coalition Priorité Cancer au Québec Host: Tjaša Zajc THE AGENTIC PATIENT A Faces of Digital Health series on how patients and caregivers actually use AI — which tools, which prompts, which guardrails — and what that does to the relationship with clinicians. Series hub: https://www.facesofdigitalhealth.com/agentic-patient WHAT THE CONVERSATION COVERS • "No-lution": why dismissing patient AI use hides how people already use it • Shadow AI in healthcare: patients were using ChatGPT long before health systems noticed • Using ChatGPT for health questions in 2023, when the model refused first-person medical queries • Role-play prompting: presenting yourself as a clinical case and asking the model to show its reasoning • Prompting for possibilities rather than confirmation — and why that limits sycophancy • Ovarian cancer symptoms: bloating, early satiety, fatigue, cramping and abnormal bleeding as a constellation • Why ovarian cancer is diagnosed late, and why age 36 put her outside anyone's differential • How to describe symptoms to your doctor so they lead to the right tests • CA-125 testing and the routine pelvic pain workup • Sharing health data with ChatGPT: privacy, identifiers and the risk-reward of a crisis • AI as a health system navigation tool: which specialist, which questions, is this wait normal • The worried well, wellness misinformation and AI as a filter • Practical advice: approach the model as a tester, and end every session with questions for your doctor • Emergency versus chronic illness: where general chatbots lose context • Patient-built AI tools for specific conditions • Continuity of care: the patient as the relay between family doctor and oncologist CHAPTERS 03:00 The Agentic Patient: how patients use AI in their care 04:14 "No-lution" and the shadow AI already inside healthcare 07:38 ChatGPT in early 2023: a cautious, restricted tool 10:10 Learning to prompt: role, context and the role-play workaround 16:54 Challenging the model: sycophancy then and now 19:36 Presenting a symptom constellation to get the right tests 25:09 The post-it note, the pelvic exam and the imaging referral 27:49 CA-125 and the routine pelvic pain workup 29:00 What patients use AI for: health system navigation 33:31 The worried well, misinformation and AI as a filter 37:21 Practical advice: test the tool, end with questions for your doctor 39:45 Emergency versus chronic: where general chatbots fall short 46:28 AI as the keeper of a patient's story between specialists MENTIONED Ovarian Cancer Canada • Cancer and Work • Coalition Priorité Cancer au Québec • CA-125 (cancer antigen 125) test • ChatGPT Discussion with Russ Read Barrow: https://podcasts.apple.com/us/podcast/the-agentic-patient-2-one-tool-one-job-cancer/id1194284040?i=1000764804039 FACES OF DIGITAL HEALTH Website: https://www.facesofdigitalhealth.com Newsletter: https://fodh.substack.com LinkedIn: https://www.linkedin.com/company/faces-of-digital-health Spotify: https://open.spotify.com/show/4cElKJHrauyP6QJQaCkvdY Apple Podcasts: https://podcasts.apple.com/gb/podcast/faces-of-digital-health/id1194284040 #TheAgenticPatient #OvarianCancer #PatientAI #ChatGPT #healthAI #patientnavigation #earlydiagnosis #digitalhealth #patientempowerment #cancercare

Three in ten AI pilots at Sheba Medical Center never scale. Eyal Zimlichman on why, and what Europe's regulation holds back. Nine years after his first Faces of Digital Health interview, when ARC was still being built inside Sheba Medical Center, Eyal Zimlichman returns with the numbers. He explains how Sheba measures the return on AI (clinical outcomes, cost and clinician burnout), why its chief quality officer rather than its AI officer signs off every deployment, and why about 30% of pilots are discontinued. We discuss what ambient scribes change for patient safety, documentation and malpractice, why hospitals still treat start-ups as a nuisance, why no European hospital belongs to Mayo Clinic Platform's federated data network, and how ARC plans to grow tenfold in 2027. GUEST Prof. Eyal Zimlichman — Chief Transformation, Innovation and AI Officer, Sheba Medical Center, Israel; founder and director, ARC Innovation Host: Tjaša Zajc WHAT THE CONVERSATION COVERS - What has changed at Sheba Medical Center and ARC since 2017 - How a hospital measures AI return on investment: outcomes, cost, access and burnout - Aidoc and AI triage for intracranial haemorrhage: the Sheba mortality study - AI governance in hospitals: why the chief quality officer approves AI deployments - Time-limited AI approvals: 3–12 month reviews based on risk - Ambient scribes: accuracy differences between vendors and medication-name errors - Ambient documentation, billing and the case for fewer malpractice claims - Why 30% of hospital AI pilots fail to scale, including an internally built discharge alert - Open innovation: why healthcare systems distrust start-ups - Procurement, tenders and the barriers to bringing in new technology - Europe as a "regulation superpower": unclear rules, cautious lawyers and the Charité ARC centre - Mayo Clinic Platform and federated health data sharing without European partners - Hospitals as economic engines: ARC start-ups, jobs and KPIs - China, AI regulation and the speed of adoption - ARC Global in 2027: tenfold scale-up and AI-native hospitals by 2030 CHAPTERS 02:43 Nine years on: Sheba, ARC and AI since 2017 06:52 How to measure AI return on investment in a hospital 10:58 Patient safety and ambient scribes: who approves AI 15:51 Ambient documentation, billing and malpractice 18:06 The pilots that didn't scale, and why 21:47 Open innovation: why hospitals distrust start-ups 26:35 Europe as a "regulation superpower" 30:43 A hospital as an economic engine: start-ups and jobs 36:13 China, AI regulation and speed 39:27 ARC in 2027: tenfold growth and AI-native hospitals MENTIONED ARC Innovation at Sheba Medical Center • ARC Global • Charité BIH ARC Innovation Center (Berlin) Aidoc • Mayo Clinic Platform • ARC Summit, Tel Aviv, 22 October 2026 Orion et al., International Journal of Emergency Medicine (2023) — AI triage for intracranial haemorrhage Earlier FoDH episode: Eyal Zimlichman, 2017 [LINK] FACES OF DIGITAL HEALTH Website: https://www.facesofdigitalhealth.com Newsletter: https://fodh.substack.com LinkedIn: https://www.linkedin.com/company/faces-of-digital-health Spotify: https://open.spotify.com/show/4cElKJHrauyP6QJQaCkvdY Apple Podcasts: https://podcasts.apple.com/gb/podcast/faces-of-digital-health/id1194284040 #healthcareAI #digitalhealth #hospitalinnovation #ambientAI #AIgovernance #patientsafety #ShebaMedicalCenter #healthtech #openinnovation #healthpolicy #AIregulation #FacesOfDigitalHealth

When prevention works, nothing happens. That's why it gets cut. Joanna Lane on financing prevention as long-term investment. Health systems in Europe spend a small fraction of their budgets on prevention, and that fraction is renewed annually and cut first when treatment costs rise. Joanna Lane has spent decades working on health and regional development across Europe, and argues that prevention should be reclassified from expenditure to capital investment, financed the way we finance energy grids, transport and pensions. In this conversation she explains what the Horizon Europe project Invest4Health learned from eight regional testbeds, why Public Health Wales disinvested around £10m to reinvest it, how health systems' own procurement and hiring can improve the determinants of health, and what finance ministers need to hear before they will treat prevention as an investment. We also discuss wearables and the longevity trend, where personal responsibility ends and public policy begins, and a three-layer model for funding prevention at scale. GUEST Joanna Lane — Managing Director, Stichting Health ClusterNET; Chair, FH Europe Foundation; Invest4Health (Horizon Europe) Host: Tjaša Zajc WHAT THE CONVERSATION COVERS - Why the benefits of prevention stay invisible in health budgets - Why local prevention and health promotion budgets are the first to be cut - Invest4Health: eight regional testbeds for financing health promotion and disease prevention - Smart capacitating investment and the EU high-level task force on social infrastructure - Why a single financing template didn't work across regions - Financing toolkits and competence building for regional health authorities - Reclassifying prevention as capital investment and soft infrastructure - Public Health Wales: disinvesting from health promotion to reinvest around £10m - Prevention spending during and after COVID, and the pull back to acute care - Defence, energy and climate competing for health budgets - The ripple effect of health spending: local procurement, inclusive employment and NEETs - How to make the investment case for prevention to a finance minister - Local Multiplier 3 (LM3) and the return on local procurement - 20-minute neighbourhoods and multi-use community hubs for older people - Remote monitoring for independent living: the SMILE project - Wearables, longevity and the retention problem in consumer digital health - Personal responsibility vs public policy: school food, screening and familial hypercholesterolaemia - Three layers of prevention finance: protected budgets, social outcome funds and patient capital - Metrics for treating prevention as investment in national statistics CHAPTERS 2:00 The Finance Minister Anecdote 3:18 Welcome & 40 Years in Prevention 3:54 The Invisible Challenge of Prevention 6:12 The Invest for Health Project 10:47 Financing Toolkit & Training for Regions 12:02 Prevention as Capital Investment 13:03 Bold Examples: Disinvest to Reinvest 16:44 COVID's Regression in Prevention 18:04 Healthcare's Ripple Effect on Local Economies 20:50 Engaging Finance Ministries 23:25 Evidence for Return on Investment 25:07 Community Design for Prevention 27:34 Longevity & Digital Health Solutions 33:11 Personal Responsibility vs. Systemic Prevention 36:11 A Three-Layer Financing Model for Prevention MENTIONED Invest4Health — Horizon Europe project on financing health promotion and disease prevention High-Level Task Force on Investing in Social Infrastructure in Europe (report, January 2018) Syreon Research Institute, Budapest • Public Health Wales • Local Multiplier 3 (LM3) SMILE project (Innlandet Hospital Trust, Norway) • FH Europe Foundation • EU Safe Hearts Plan Earlier FoDH episodes: Herko Coomans on interoperability as an infrastructure funding problem [LINK] • Henrique Martins on twenty years of EU health data projects [LINK] FACES OF DIGITAL HEALTH Website: https://www.facesofdigitalhealth.com Newsletter: https://fodh.substack.com LinkedIn: https://www.linkedin.com/company/faces-of-digital-health Spotify: https://open.spotify.com/show/4cElKJHrauyP6QJQaCkvdY Apple Podcasts: https://podcasts.apple.com/gb/podcast/faces-of-digital-health/id1194284040 #prevention #publichealth #healthfinancing #healthpromotion #diseaseprevention #Invest4Health #healthpolicy #healtheconomics #socialinfrastructure #healthinvestment #digitalhealth #FacesOfDigitalHealth

Nearly €200m, twenty years of EU health data projects. Henrique Martins on what they built and what EHDS needs next. Before the European Health Data Space became law, the EU had already funded two decades of cross-border interoperability work: epSOS, EXPAND, Trillium Bridge, JAseHN, eHAction and more. Henrique Martins has worked on most of them. In this conversation he explains how those projects became MyHealth@EU, why the European EHR exchange format matters for every hospital and IT vendor, what digital health authorities and health data access bodies will do from 2027, and how far patient control of health data can realistically go. He also argues that Europe is not behind on cross-border exchange, that slow national progress is ultimately a political choice made by voters, and that 2027 will show whether the EHDS implementing acts can actually be applied. GUEST Henrique Martins — Associate Professor, ISCTE – University Institute of Lisbon; coordinator, i2X (Intelligent Implementations of the European EHR Exchange Format); former President of SPMS, Portugal's national digital health agency; former Member States co-chair, EU eHealth Network Host: Tjaša Zajc WHAT THE CONVERSATION COVERS What nearly €200m in EU interoperability funding bought over twenty years How epSOS, EXPAND and OpenNCP became MyHealth@EU Cross-border ePrescription and patient summary: who exchanges data today The European EHR exchange format (EEHRxF) and why discharge reports still don't travel Transformation layers: wrapping HL7 v2 messages in FHIR AI and natural language processing to structure clinical data at the point of care Trillium Bridge: EU–US patient data exchange, and why it couldn't be funded today Xt-EHR and how joint actions shape the EHDS implementing acts Digital health authorities vs health data access bodies: why one versus many Patient rights under EHDS: access, download, correction and upload Health data activism and patient health literacy The xShare Yellow Button, MyHealth@MyHands and the EU Digital Identity Wallet i2X: 35 pilots, 12 member states and 3 million citizens — and everyone else Is Europe slow? Cross-border exchange compared with North America The EHDS test for 2027: implementing acts and demonstration sites CHAPTERS 03:00 Fifteen years of European interoperability projects 03:36 €200m over twenty years: what EU funding built 06:38 FHIR, implementation guides and the European exchange format 10:10 From drop-down menus to AI: structuring health data 10:48 epSOS, eHAction and the projects that shaped EU digital health 14:02 Trillium Bridge: when the EU and US exchanged health data 15:58 Xt-EHR and why joint actions shape the implementing acts 18:58 Digital health authorities and health data access bodies explained 23:13 Patients and EHDS: access, correction and health data activism 29:04 Is Europe too slow? 3 million in pilots, 400 million waiting 39:08 The best case for 2027: implementing acts that work Recent FODH episodes on interoperability and EHDS: Herko Coomans on interoperability [   • Interoperability Isn't Failing — It's Unde...  ] • Nils Hellrung on openEHR and EHDS [   • Just Connecting systems isn't interoperabi...  ] • Karlien Hollanders, The Agentic Patient [   • "I stopped letting AI read my daughter's m...  ] FACES OF DIGITAL HEALTH Website: https://www.facesofdigitalhealth.com Newsletter: https://fodh.substack.com LinkedIn:   / faces-of-digital-health   Spotify: https://open.spotify.com/show/4cElKJH... Apple Podcasts: https://podcasts.apple.com/gb/podcast...#EHDS #EuropeanHealthDataSpace #interoperability #digitalhealth #healthdata #MyHealthEU #FHIR #ePrescription #healthpolicy #EEHRxF #patientdata #FacesOfDigitalHealth

One ultrasound tech, four scanning rooms. NVIDIA's David Niewolny on what "augmented autonomy" asks of clinicians. NVIDIA is best known for GPUs, but its healthcare strategy is a full stack: compute to train models, compute to run them at the point of care, and simulation to generate the data that medical robotics lacks. In this interview, David Niewolny explains how that stack underpins autonomous X-ray and ultrasound with GE HealthCare, surgical robotics simulation with Johnson & Johnson MedTech, and the Open-H surgical robotics dataset. He argues that open models are a regulatory necessity in healthcare, that software-defined medical devices will shrink innovation cycles from years to months, and that the path to autonomy in surgery will follow the one taken by autonomous vehicles, one level at a time. We also press on the parts that remain unsettled: whether AI efficiency turns into clinician burnout, whether synthetic data reflects real patient populations, and what could still stall adoption. GUEST David Niewolny — Senior Director and Global Head of Business Development, Healthcare & Medical, NVIDIA Host: Tjaša Zajc WHAT THE CONVERSATION COVERS - NVIDIA's healthcare strategy: training, simulation and edge deployment for medical AI - Why open models and open datasets matter in regulated healthcare - Autonomous X-ray and ultrasound with GE HealthCare: one technician, multiple rooms - "Augmented autonomy": keeping a clinician in the loop - AI efficiency, cognitive load and the risk of a new wave of clinician burnout - Ambient clinical documentation as the clearest efficiency case - Surgical robotics and the autonomous-vehicle model of stepwise autonomy - Why robotics costs are falling, and what it means for hospital ROI - Synthetic data for healthcare robotics: Cosmos-H, Isaac for Healthcare and the Open-H dataset - Can simulated data reflect a local patient population? - Model drift, verification and validation, and governance of AI agents in healthcare - Is healthcare worried about superintelligence? - Software-defined medical devices and the FDA's predetermined change control plan (PCCP) - How regulators are adapting to AI-enabled devices - Change management and ROI as the real barriers to adoption CHAPTERS 02:00 NVIDIA in healthcare: more than GPUs 03:03 The full stack: training, simulation and edge deployment 08:46 Why open models matter in regulated healthcare 10:51 Autonomous X-ray and ultrasound: one technician, four rooms 14:49 AI augmentation and clinician burnout 18:16 What NVIDIA looks for in a partner, and the surgical robotics bet 23:38 Cheaper robots, more competition, clearer ROI 27:37 Synthetic data, Cosmos-H and the Open-H surgical dataset 31:43 Does simulated data reflect the real world? 34:37 Model drift and governing AI agents in healthcare 38:03 Superintelligence, change management and the autonomous-vehicle analogy 43:10 Software-defined medical devices, the FDA's PCCP and regulators 49:54 A golden age for medtech? What could still slow it down MENTIONED NVIDIA Isaac for Healthcare • Cosmos-H • Open-H-Embodiment dataset • NVIDIA Nemotron • BioNeMo Agent Toolkit GE HealthCare • Johnson & Johnson MedTech (MONARCH platform) • Abridge • Aidoc • OpenEvidence • Sword Health FDA Predetermined Change Control Plan (PCCP) FACES OF DIGITAL HEALTH Website: https://www.facesofdigitalhealth.com Newsletter: https://fodh.substack.com LinkedIn: https://www.linkedin.com/company/faces-of-digital-health Spotify: https://open.spotify.com/show/4cElKJHrauyP6QJQaCkvdY Apple Podcasts: https://podcasts.apple.com/gb/podcast/faces-of-digital-health/id1194284040 #NVIDIA #healthcareAI #medtech #surgicalrobotics #physicalAI #digitalhealth #medicalimaging #syntheticdata #openmodels #FDA #medicaldevices #healthcarerobotics

Most interoperability debates focus on exchange formats. In this discussion with Dr Nils Hellrung, medical informatician and CEO Strategy & Operations at vitagroup, Nils focuses on the need for shaping hospital IT with governance and financing. Linking proprietary systems through standards, he says, will always lose meaning, which is why he backs openEHR as a vendor-neutral clinical data core, with FHIR used for exchange. vitagroup in providing the data platform for Catalonia, and just signed a contract with a large hospital group in France. The discussion touches different market approaches to interoperability and challenges of markets such as Germany, where each federal state has its own authority to regulate and implement as they please. Tjasa Zajc and Nils Hellrung talk about what "AI-native" data integration means in practice, why 95% accuracy of AI is not good enough in healthcare, and whether Europe ends up with monolithic US EHRs or open platforms. This episode is supported by vitagroup. GUEST Dr Nils Hellrung — CEO Strategy & Operations, vitagroup; medical informatician; co-author, "Health Information Systems: Architectures and Strategies" Host: Tjaša Zajc WHAT THE CONVERSATION COVERS Why hospital IT architecture reflects governance, trust and financing: three professors, three PACS Billing versus therapy: why German hospital and ambulatory systems don't talk to each other AI in healthcare: the widening gap between what is possible and what happens in practice Why Europe doesn't have to be slower than the US in digital health Data availability as the main barrier to digital health implementation openEHR vs FHIR: clinical data repository vs communication standard FHIR version changes and national profiles: the semantic interoperability problem Is European Health Data Space (EHDS) interoperability achievable, or only for a core data set? Catalonia's single patient record on openEHR: 18 months to go-live and the next step to an open health platform Why Catalonia's single health system makes adoption easier Germany: 16 federal states, 17 data protection authorities, and a 20-year-old electronic patient record (ePA) programme Alliance SIH in France: competitors agreeing on a shared health data layer AI as a translator between clinical data and clinicians AI-native vs AI-enabled software, and why data pipelines must stay deterministic Deskilling risk: clinicians who stop thinking because AI seems to have the answer Epic at Charité, monolithic EHRs vs open platforms, and European digital sovereignty in healthcare Europe's health IT ecosystem in 2036: best, worst and realistic scenarios CHAPTERS 02:30 From textbook to practice: 15 years of health information systems 03:00 Why hospital IT looks the way it does: three professors, three PACS 06:50 Is AI speeding up healthcare? The gap between possible and real 10:39 EHDS and data availability: the biggest barrier to digital health 14:00 openEHR vs FHIR: how health data normalisation works in practice 16:40 Is European interoperability achievable? The semantic problem 20:00 Catalonia: why a single health system makes adoption possible 26:48 Germany: 16 states, 17 data protection authorities 30:45 France: Alliance SIH and a shared data layer 32:14 The data layer as Europe's AI advantage 35:38 AI in data integration: why "convincing" is dangerous 41:48 Agentic AI, guardrails and the risk of deskilling 45:00 Europe in 2036: Epic, open platforms and a "very nineties decision" FACES OF DIGITAL HEALTH Website: https://www.facesofdigitalhealth.com Newsletter: https://fodh.substack.com Spotify: https://open.spotify.com/show/4cElKJH... Apple Podcasts: https://podcasts.apple.com/gb/podcast... LinkedIn:   / faces-of-digital-health  #openEHR #EHDS #interoperability #digitalhealth #healthdata #FHIR #healthIT #healthcareAI #EuropeanHealthDataSpace #Catalonia #vitagroup #FacesOfDigitalHealth

She has 408 of her daughter's medical documents. She stopped letting AI read them — here's why. Karlien Hollanders is a pharmacist who became her daughter's medical record. When her firstborn went into complete renal failure at two months old and was diagnosed with primary hyperoxaluria type 1, she spent three years moving between Belgian specialist hospitals that could not exchange data with each other. Eleven years later, 408 documents sit on a national platform that can be filtered by doctor, hospital and date — and nothing else. This episode of The Agentic Patient is about what happens when you actually try to put AI to work on a real, fragmented, non-anonymised medical history: what it organised, what it got wrong, and the reason she has stopped. GUEST Karlien Hollanders — Patient expert and caregiver; consultant to the Belgian federal health service; pharmacist by training Host: Tjaša Zajc THE AGENTIC PATIENT A Faces of Digital Health series on how patients and caregivers actually use AI — which tools, which prompts, which guardrails — and what that does to the clinical relationship. Series hub: https://www.facesofdigitalhealth.com/agentic-patient WHAT THE CONVERSATION COVERS - Being your child's "walking medical record" across five specialist hospitals - Why case management exists for cancer and diabetes but not for rare disease - 408 PDFs, three filters: the missing-metadata problem in national health data platforms - Federated health data explained — and why you still download your records one click at a time - What AI document tools did well: organising records by organ and producing specialty-specific summaries - The timeline AI could not build, and why copy-pasted clinical letters break text-layer summarisation - Why internists and orthopaedic surgeons need the same records and completely different queries - The 15-minute consultation and the unprepared specialist - Local bulk de-identification: the tool that does not exist, and the vendors who could not supply it - A child's medical data on third-party AI platforms, twenty years forward - Patient summaries and cross-border care: what an emergency room in another country actually needs - EHDS versus AI extraction — structuring data at the point of documentation instead of after it - SNOMED CT and structured entry that clinicians do not know they are doing - ZAS Antwerp's AI-generated patient-friendly discharge letters, already in production - Why a shared medication scheme can be five years out of date in a country with electronic prescribing - Personal health vaults, EU wallets and itsme: identity is not the same as data portability - Practical advice: how to assemble your own records before letting AI near them CHAPTERS 03:00 A caregiver's view of patients using AI 04:28 Renal failure at two months: primary hyperoxaluria type 1 10:43 Ten years on: what has changed in Belgian health data sharing 13:04 408 documents, three filters: the metadata problem 15:03 Downloading a federated health record one PDF at a time 17:20 What AI document tools organised — and the timeline they couldn't build 22:27 Same records, different questions: internists vs orthopaedic surgeons 26:38 Not a technology problem: incentives and the missing business case 30:18 AI as a better Google — and where that gets dangerous 32:30 The anonymisation gap: why she stopped feeding AI real data 36:10 Patient summaries, EHDS and structuring data at the source 41:46 ZAS Antwerp's AI-written patient letters, already in production 47:49 Preparing for a specialist visit when your records are scattered MENTIONED European Health Data Space (EHDS) — Regulation (EU) 2025/327 ZAS (Ziekenhuis aan de Stroom), Antwerp — AI-generated patient-friendly letters FACES OF DIGITAL HEALTH Website: https://www.facesofdigitalhealth.com Newsletter: https://fodh.substack.com LinkedIn: https://www.linkedin.com/company/faces-of-digital-health Spotify: https://open.spotify.com/show/4cElKJHrauyP6QJQaCkvdY Apple Podcasts: https://podcasts.apple.com/gb/podcast/faces-of-digital-health/id1194284040 #TheAgenticPatient #digitalhealth #healthdata #EHDS #patientdata #caregiver #healthAI #rarediseases #interoperability #healthtech #patientempowerment #medicalrecords