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PODCAST

Faces of Digital Health

Faces of Digital Health is a healthcare podcast about digital health technology, solutions, and innovations in practice, presented through real healthcare systems and the people behind them. The show looks into how different countries adopt digital health, what barriers they face, and why similar approaches succeed in some places but not others.Episodes feature clinicians, patients, entrepreneurs, and health system leaders sharing their practical experience. The focus is on digital health trends,

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All Episodes

36:23

Should prevention be treated as capital investment?...

Faces of Digital Health ·

2026/10/07

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

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43:56

€200m and 20 years: What EU health data projects...

Faces of Digital Health ·

2026/10/01

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

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53:59

What is NVIDIA actually doing in healthcare? (David...

Faces of Digital Health ·

2026/09/25

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

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46:38

Epic or open platforms? The choice facing European...

Faces of Digital Health ·

2026/09/16

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

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55:49

Agentic Patient 11: ""I stopped letting AI read my...

Faces of Digital Health ·

2026/09/09

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,

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61:13

Interoperability Isn't Failing — It's Underfunded...

Faces of Digital Health ·

2026/08/27

35 views Aug 24, 2026 In-person video interviews"Interoperability isn't failing — it's underfunded." Herko Coomans on standards as public infrastructure.Most interoperability conversations start with what's technically broken. This one starts by rejecting that framing. Herko Coomans argues that health data exchange is a wicked problem rather than an unsolved engineering task, that the real constraint is infrastructure funding and governance, and that the moment governments mandated standards,

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49:28

Agentic Patient 9: She built an AI companion for...

Faces of Digital Health ·

2026/08/18

"I am actually quite wildly uncomfortable with patients using LLMs." She built an AI companion for breast cancer patients — and she means it.Ellyn Winters-Robinson was diagnosed with breast cancer in March 2022, months before ChatGPT launched. She wrote a book about it on her iPhone during chemotherapy. That book became AskEllyn, an AI companion used across a hundred countries. In this episode of The Agentic Patient — a Faces of Digital Health series on how patients actually use AI, which

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40:05

Agentic Patient 8: Why an AI Founder Won't Trust...

Faces of Digital Health ·

2026/08/04

In this episode of The Agentic Patient, a Faces of Digital Health series on how patients are using AI to find answers the healthcare system didn't give them, Tjasa Zajc talks to Elena Ikonomovska, CEO and Co-Founder of Diadia Health. She stopped trusting chatbots with her own health data — after building an AI company on the problem they create. Elena talks about her two-and-a-half-year journey that followed her mother's death and her own dismissed symptoms — and the causal-reasoning AI she built

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37:52

Will robots help us age at home? A historian who...

Faces of Digital Health ·

2026/07/31

The viral robot videos are choreography, not capability. A historian who has lived with a humanoid robot for a year explains what they still can't do.Emily Kate Genatowski is a historian and AI domestic robotics researcher who bought a humanoid robot, lived with it for over a year, and turned the experience into a TED talk. In this episode of Faces of Digital Health, she separates the demo-reel hype of 2026 from what home robots can actually deliver — and what that means for aging populations,

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39:26

Data challenges with AI: Omissions, bloated problem...

Faces of Digital Health ·

2026/07/22

Hallucination is not the biggest risk in clinical AI. Omission is — and it is far harder to detect.John Laursen, SVP at IMO Health, has spent his career on the layer of healthcare AI that gets the least attention: clinical terminology and the semantic data infrastructure underneath every model deployed in a hospital. IMO Health's terminology has been built and curated since 1994 and now sits behind roughly 12 billion terminology search transactions a year across US provider organisations and

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43:52

Who Fills The Gap After OpenEvidence Left Europe...

Faces of Digital Health ·

2026/07/17

OpenEvidence didn't leave Europe because of regulation alone — its ad-and-data business model never fit the European market. When OpenEvidence, the $12B clinical AI search platform used daily by over 40% of US physicians, withdrew from the EU and UK in April 2026 citing the EU AI Act, European clinicians lost a tool many had quietly adopted. In this episode, Philippe Habets — physician-scientist and CEO of Amsterdam-based EvidenceHunt — argues the story is as much about business models as

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34:10

The AI Model Race Is Over. The Data Race in...

Faces of Digital Health ·

2026/07/14

AI models are "eager to please" — and in healthcare, that's a liability. So what should LLMs never be allowed to do in clinical software? Three years after GPT-3 reached the public, frontier models have largely converged in capability. In this episode, Robert Tovornik, Innovation Lead at Better — the healthcare IT company building on openEHR — explains why the real differentiator in healthcare AI is no longer the model but the data layer underneath it. He makes the case for keeping clinical

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46:50

Agentic Patient 7: How to Use AI as a Caregiver —...

Faces of Digital Health ·

2026/06/19

AI couldn't cure his mother's stage 4 cancer. It caught three near-fatal errors, found a same-day appointment, and helped her leave on her own terms.When Pratik Desai's mother was diagnosed with stage four duodenal adenocarcinoma — a rare cancer with roughly 3,000 US cases a year — she was nearly discharged without an oncology appointment. Over the next 76 days, Desai used AI at her bedside, from 5am to 10pm, to understand each report, prepare for every appointment, and push a stretched health

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58:28

We're Overestimating Medical AI — and Underestimating...

Faces of Digital Health ·

2026/06/09

AI ethicist Jess Morley: these chatbots are giving medical advice — so regulate them as medical devices. Part of The Agentic Patient, a Faces of Digital Health series on how patients actually use AI — which tools, which prompts, which safeguards. In this episode, host Tjaša Zajc sits down with Dr Jess Morley, Associate Research Scientist at the Yale Digital Ethics Center and a former AI subject-matter expert at the UK Department of Health and Social Care, for a clear-eyed account of where health AI

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13:39

Healthcare AI Policy in 2026: Only 7 of 38 OECD...

Faces of Digital Health ·

2026/06/03

98% of patients welcome AI in their care — and still want a human in charge.That tension ran through the OECD and Spanish Ministry of Health conference on scaling AI in health (Madrid, late May 2026), and it frames this episode of Faces of Digital Health. Out of 38 OECD countries, only seven have a formal AI strategy and just over a tenth run workforce upskilling programmes — the ambition is outrunning the institutions meant to govern it. Host Tjaša Zajc brings together voices from across the

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42:40

Doctors are using ChatGPT in clinic and not all care...

Faces of Digital Health ·

2026/05/26

Doctors are using ChatGPT in clinic right now — and some of them don't care about privacy. Three operators on what that means for healthcare AI. Recorded live at health.tech in Basel, this panel from Faces of Digital Health unpacks the convergence reshaping clinical software: ambient AI scribes, agentic AI in healthcare, on-device LLMs, and the regulatory drag (MDR, EU AI Act, EHDS) that is widening the gap between what clinicians actually use and what hospitals are allowed to buy. Host Tjaša Zajc

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32:36

Aashima Gupta (Google Cloud): "Healthcare doesn't...

Faces of Digital Health ·

2026/05/19

Most conversations about agentic AI in healthcare get stuck on capability. This one is about the gap between capability and deployment — and what closes it.Aashima Gupta, Global Director of Healthcare Strategy and Solutions at Google Cloud, argues that healthcare's bottleneck isn't vision; it's courage. The processes are documented poorly or not at all, AI fluency programs reach a fraction of employees who want them, and most enterprises are running agents without the harnesses — grounding,

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33:21

I Used AI for My Chronic Illness for a Year. Here's...

Faces of Digital Health ·

2026/05/14

The Agentic Patient is here — and most healthcare systems don't have a plan for it. In this special reverse-role episode of Faces of Digital Health, Eric Sutherland interviews host Tjaša Zajc about what a year of using AI through her own chronic illness has actually taught her about patients, doctors, and the future of healthcare AI.200 million people will ask ChatGPT a health question this week. The question is no longer whether patients will use AI to navigate their care — it's how to help them

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52:26

The Agentic Patient 4: Finding Insurance and Red Team...

Faces of Digital Health ·

2026/05/06

When Demetri Giannikopoulos was diagnosed with multiple sclerosis, his community neurologist handed him a sheet with fifty medication options and told him to pick one. That was a long time ago. Today he's the Chief Innovation Officer at RadAI, overseeing how artificial intelligence gets deployed in radiology across US health systems — and he's spent two decades learning how to navigate a healthcare apparatus that, in his words, "is not designed for sick patients."In this conversation Demetri

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26:51

The Agentic Patient 3: When ChatGPT from Parents...

Faces of Digital Health ·

2026/05/05

Diana Ferro works at a major pediatric hospital in Italy, working on AI infrastructure, rare diseases, and — importantly — the International Alliance of Pediatric Centers on AI. Unlike the patient voices earlier in the Agentic Patient series, she sits on the other side of the consulting-room door. Her concerns are sharper, more specific, and more uncomfortable. She is not against patient AI use. She is watching what happens when desperate parents, teenagers in crisis, and sycophantic chatbots meet

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