Faces of Digital Health

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

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, they took on a public accountability they haven't yet resourced. We cover the closing post-COVID funding window, what EHDS implementation actually looks like inside a country that has no national health data authority, why the EU started its data union with health, and where AI genuinely helps interoperability — and where it quietly doesn't. GUEST Herko Coomans — International Digital Health Coordinator, Ministry of Health, Welfare and Sport (VWS), the Netherlands; interoperability lead, Global Digital Health Partnership (GDHP) Host: Tjaša Zajc WHAT THE CONVERSATION COVERS Why interoperability is a "wicked problem," not a failure — and why it was never all-or-nothing Interoperability as an infrastructure funding crisis rather than a technical one The closing post-pandemic window for digital health investment Why healthcare executives are asking the ministry to be MORE directive on standards What changes when standards become law: parliamentary questions about SNOMED CT and nursing terminology Who funds SNOMED CT, HL7 FHIR and IHE for the next 20–50 years The national FHIR profile problem: why a Dutch profile may not work in Germany From product implementation to integration: national platforms as an emerging concept GDHP explained: 44 countries, 40%+ of the world's population, no legal existence by design The global stewardship gap after US and Argentine withdrawal from the WHO The International Patient Summary in practice — Canada, Brazil, and QR-code patient summaries at the Hajj EHDS implementation reality check: 2027, 2029, 2031 deadlines and national health data access bodies Why the EU chose health as the first pillar of its data union — and what Brexit had to do with it AI and interoperability: ambient scribes, ontology reasoning, and why a plausible SNOMED code isn't a correct one The OECD's interoperability valuation: 2.7–6.6% of annual health expenditure Shifting from project funding to sustainable public infrastructure funding for standards CHAPTERS 00:00 Interoperability in 2026: what are we still not getting? 01:06 The pushback: a wicked problem, not a failure 05:50 Why interoperability is an infrastructure funding problem 10:25 Who owns integration? From product rollout to national platforms 16:32 When standards become law: parliament, nurses and SNOMED CT 19:01 National FHIR profiles and the interoperability they don't deliver 25:49 GDHP: 44 countries, 40% of the world, no legal existence 30:52 The Dutch chairmanship and the handover to Portugal 35:35 The International Patient Summary in Canada, Brazil and Mecca 39:52 EHDS reality check: European excitement, national scrambling 47:41 Why the EU started its data union with health 50:58 AI and interoperability: "not the magic, but the magician" 1:00:06 The OECD number: what interoperability is actually worth MENTIONED OECD, "Interoperability in healthcare: Towards an interconnected future" (Health Working Paper No. 197, July 2026) International Patient Summary (IPS) — HL7 FHIR, CDA, ISO, SNOMED Global Patient Set, IHE European Health Data Space (EHDS) • 21st Century Cures Act • My Health Record legislation (Australia) • Ayushman Bharat Digital Mission (India) FACES OF DIGITAL HEALTH Podcast: https://www.facesofdigitalhealth.com Newsletter: https://fodh.substack.com LinkedIn: / faces-of-digital-health Apple Podcasts: https://podcasts.apple.com/us/podcast...#interoperability #EHDS #digitalhealth #healthdata #FHIR #SNOMEDCT #healthpolicy #healthIT #GDHP #healthcareAI #europeanhealthdataspace #InternationalPatientSummaryInteroperability Isn't Failing — It's Underfunded (Herko Coomans)

"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 prompts, which guardrails — she talks to Tjasa Zajc about what an AI companion can hold that a clinician cannot, and why she still worries about where patient data goes. Guest: Ellyn Winters-Robinson, CEO of The Lyndall Project and AskEllyn, author of "Flat Please Hold the Shame" What the conversation covers: - Building an AI companion from a book written on an iPhone during chemotherapy - Why she keeps AskEllyn strictly non-medical, and how that guardrail held up under health-insurer review - Whether one woman's lived experience can support patients with different cancers, cultures and languages - Why traditional cancer support groups can become "places of collective trauma" - Scanxiety, and what happened when she used her own chatbot during a CT scare - Why she is uncomfortable with patients uploading medical records to ChatGPT or Claude - Patient data rights, desperation, and the risk of being "victimized again" by AI tools - The Canadian Cancer Society-funded study now testing whether AI companions actually help - "The patient is the workflow" — lived experience as an untapped resource in health system design - How clinicians can coach patients to use AI safely instead of pretending they aren't Chapters: 00:00 Intro: why The Agentic Patient series exists 04:00 Meeting Ellyn Winters-Robinson 05:26 Diagnosed in 2022, before ChatGPT existed 07:36 From a book written on an iPhone to an AI companion 08:53 Why nurses and social workers started recommending it 09:54 Can one woman's story support every patient? 12:21 Shame, language, and cultures where breast cancer isn't discussed 13:25 Scanxiety — and taking a pep talk from your own chatbot 15:57 How AskEllyn is built on top of the LLMs 18:19 The non-medical guardrail, and how it held up under insurer review 21:51 Why patient AI use is outpacing the system 29:25 "The patient is the workflow": lived experience as untapped data 34:05 Inside the Canadian Cancer Society study 41:03 Why she's uncomfortable with patients uploading records to LLMs 45:54 The trauma healthcare never sees 6 tips on using AI as a patient: https://youtu.be/DGGVXxB4ygI?si=7m7HqCLKow51KSlQ Faces of Digital Health: Website: https://www.facesofdigitalhealth.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 Newsletter: https://fodh.substack.com The Agentic Patient series: https://www.facesofdigitalhealth.com/agentic-patient AskEllyn: https://askellyn.ai #DigitalHealth #AIinHealthcare #BreastCancer #PatientAdvocacy #CancerSurvivorship #HealthTech #TheAgenticPatient

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 in response. Guest: Elena Ikonomovska, CEO, Co-Founder & Chief AI Officer, Diadia Health What the conversation covers: - Why Ikonomovska calls generative AI's confident wrong answers "faithful hallucinations" - Building a causal-reasoning engine instead of using large language models for clinical decisions - Why lab "normal" ranges differ by genetics — and what that means for your bloodwork - Her own dismissed thyroid and pre-diabetes symptoms, and what a two-and-a-half-year diagnosis journey actually looks like - The risk of self-diagnosing from ChatGPT-style tools, and what to ask any AI health platform about your data - Why she believes AI should strengthen, not replace, the doctor-patient relationship - Early clinical results: agreement rates with physician judgment and reductions in diagnostic trial-and-error - The equity risk in AI-driven healthcare — who gets access to validated tools, and who doesn't Chapters: 00:00 Intro: why The Agentic Patient series exists 02:30 Meet Elena Ikonomovska and the case for causal AI 03:35 From two decades in machine learning to health AI 07:07 What the model needs: blood panels, genetics, and interactions 09:45 Elena's own diagnosis journey — two and a half years to answers 11:32 Why she wouldn't trust chatbots with her health today 12:40 "Faithful hallucinations": the hidden risk in generative AI 15:04 Inside a causal-reasoning engine built without generative AI 17:32 What happens when clinicians outsource reasoning to chatbots 21:06 Redefining "normal": genetics and personalized lab ranges 27:08 Women's health data gaps and the DTC testing boom 28:13 Strengthening, not replacing, the doctor-patient relationship 31:42 Chatbot safety advice: what patients should never share 38:07 Clinical validation, agreement rates, and what's next Faces of Digital Health: Website: https://www.facesofdigitalhealth.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 Newsletter: https://fodh.substack.com The Agentic Patient series hub: https://www.facesofdigitalhealth.com/agentic-patient-blog #DigitalHealth #AIinHealthcare #PatientAdvocacy #WomensHealth #HealthTech #ClinicalAI #TheAgenticPatient

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, caregiver shortages, and healthcare systems hoping robots will help people stay independent at home. She explains why companion robots and chore robots are still entirely separate machines, why her robot cannot get into a car, why retirees are often more enthusiastic about robots than younger workers — and why she believes we are living through a "digital Engels pause," where productivity rises faster than the mechanisms that distribute its benefits. Guest: Emily Kate Genatowski, historian and AI domestic robotics researcher Her TED talk: https://www.youtube.com/watch?v=rIg-Zt7bFHY What the conversation covers: - Humanoid robot hype in 2026 vs real-world capability - Living with a humanoid robot: logistics, frustration, and transport - Robots for elderly care and aging in place - Companion robots vs domestic chore robots — why they're separate devices - The "digital Engels pause": AI productivity without shared gains - US, China, and EU approaches to AI and robotics regulation - Emotional attachment to robots and robot design - Dual-use risks: humanoid robots and drones in warfare - "One soul, many bodies": the future architecture of home robots CHAPTERS CHAPTERS: 00:00 Intro 02:25 Welcome: a historian who lives with a humanoid robot 03:40 2026 robot hype: why the viral videos are choreography 05:45 Why buy a robot? How the year-long experiment began 07:28 From board games to policy: what the project became 08:57 Robots for aging in place — and who's actually optimistic 09:53 Companion robots vs chore robots: two separate machines 13:55 The digital Engels pause: productivity without shared gains 20:09 US, China, Europe: three regulatory cultures for AI and robotics 25:55 Why the robot travels in a box — and can't get into a car 29:58 Robot guilt: emotional attachment without eyes 33:14 Policy, not technology, as the bottleneck for elderly care robots 35:02 Dual use: drones, warfare, and where robotics could go wrong 37:25 One soul, many bodies: the bifurcated future of home robots FOLLOW 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 #DigitalHealth #Robotics #HumanoidRobots #AgingInPlace #HealthTech #AI

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 every major EHR. In this interview with Tjaša Zajc, Laursen makes the case that structured data was necessary but is no longer sufficient. AI reasoning across a thirty-year patient chart needs semantic continuity — an understanding that clinical language recorded in the 1990s and language recorded today can mean the same thing. Without it, health systems are investing in models that cannot reliably interpret their own records. The conversation also covers what happens when ambient AI scribes get it wrong, why accumulated clinical data has become a computational cost rather than an asset, and why clinician trust is the constraint that determines how fast clinical AI can move. Guest: John Laursen — Senior Vice President, IMO Health (Chicago, US) Host: Tjaša Zajc — Faces of Digital Health What the conversation covers: - Why omissions, not hallucinations, are the underrated risk in clinical AI - What a semantic layer does that structured data alone cannot - How clinical terminology maps to SNOMED CT and ICD-10 — and why those code sets were built for different purposes - Ambient AI scribes: what happens when a model mishears or over-infers a diagnosis - The billing and clinical consequences of an error entering the patient record - Why problem lists hundreds of entries long now cost money in token burn - Patient-generated and AI-generated content entering the EHR, and why health systems resist it - Translating lay language into clinical terminology without losing specificity - Ambient documentation, billing intensity and friction with payers - How data quality expectations differ between the US, the NHS, the Gulf states and Singapore - Who governs clinical data as coding complexity increases - Why AI performance breaks down on rare disease and the difficult 20% of cases - Knowledge graphs as a grounding source for clinical AI models - What health systems should require from AI vendors before clinical deployment Chapters: 02:20 Why the data layer decides what clinical AI can do 03:27 Inside IMO Health: 12 billion terminology searches a year 05:36 Keeping terminology current: SNOMED, ICD-10 and clinical governance 07:35 The semantic bridge: why structured data alone is not enough 10:17 Patient language versus clinical language in the record 12:23 When an ambient scribe mishears: clinical and billing consequences 14:53 Omissions, bloated problem lists and unnecessary token burn 19:12 Outside the US: the NHS, the Gulf, Singapore and coding complexity 20:46 Who governs clinical data as complexity increases 23:35 Patient-side AI recorders and resistance to external data 26:08 Ambient documentation, billing intensity and payer friction 29:21 The last 20%: rare disease, model limits and AI governance 33:38 Grounding, clinician trust and the cost of misfiring Faces of Digital Health: Website: https://www.facesofdigitalhealth.com Newsletter: https://fodh.substack.com Spotify: https://open.spotify.com/show/4cElKJHrauyP6QJQaCkvdY Apple Podcasts: https://podcasts.apple.com/gb/podcast/faces-of-digital-health/id1194284040 LinkedIn: https://www.linkedin.com/company/faces-of-digital-health #digitalhealth #healthcareAI #clinicalinformatics #EHR #ambientAI #interoperability #healthdata #SNOMED #healthIT #medicalcoding

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 regulation: ad-funded clinical search and selling clinician search behaviour to pharma don't transfer to Europe, where clinicians distrust anything that looks commercial. We also examine what AI evidence search is measurably doing inside hospitals: more uniform knowledge across teams, fewer junior-to-senior consultations, faster decisions — and the open question of whether that convergence improves care or narrows clinical thinking. Guest: Philippe Habets, MD PhD, CEO & co-founder, EvidenceHunt (Amsterdam) What the conversation covers: - Why OpenEvidence left Europe: EU AI Act vs the ad-based and data-selling business model - What hospitals did after OpenEvidence's exit — governance, procurement, shadow AI use - How AI literature search changes clinical decision making and medical hierarchies - Automation bias, tunnel vision and who is liable when AI is wrong - Guardrails in practice: PII stripping, refusing clinical advice, reformulating case questions into research questions - Why LLM answers differ between tools — and the omission problem in complex patients - Living guidelines: automating systematic literature reviews and guideline updates (some protocols are 17 years old) - Should patients have access to the same evidence tools as clinicians? - EvidenceHunt vs OpenEvidence: data sources, GDPR, medical device regulation - What won't change in healthcare AI in the next three years Previous episode with Philippe Habets (2023): https://www.youtube.com/watch?v=F8tC0B4NvpM CHAPTERS 00:00 Introduction 03:11 OpenEvidence leaves Europe: what it meant for a European competitor 04:31 No user spike — but hospitals started asking questions 06:54 What EvidenceHunt is: from PubMed frustration to systematic reviews 11:35 How clinicians actually adopt AI evidence tools 13:46 Uniform knowledge, fewer senior consultations: measured effects on clinical thinking 16:24 Tunnel vision, automation bias and the liability question 18:04 Guardrails in practice: PII stripping and refusing clinical advice 20:31 The omission problem: evidence is group statistics, patients are N of 1 23:26 The real reason OpenEvidence left: ads, data-selling and European distrust 29:03 Should patients have the same evidence tools as clinicians? 31:51 Why disclaimers aren't enough — safeguards must be enforced in the product 33:43 Living guidelines: automating updates for protocols up to 17 years old 40:00 The biggest product challenge: too many features, one clean interface 41:40 What won't change in healthcare AI in the next three years 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 #digitalhealth #healthcareAI #OpenEvidence #EUAIAct #clinicaldecisionsupport #evidencebasedmedicine #healthtech

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 coding and terminology in deterministic systems, confining LLMs to retrieval and orchestration, and validating AI the way you'd come to trust a colleague: through experience, not certification. Guest: Robert Tovornik, Innovation Lead, Better What the conversation covers: - Why frontier LLMs are converging — and why context now matters more than model capability - What AI should never do in clinical software: inference vs retrieval - Why ICD-10 and SNOMED coding should stay in deterministic systems, not ChatGPT - How to validate non-deterministic AI systems when unit tests no longer work - Automation bias: what happens when users stop checking AI outputs - Conversational EHRs — solving the "missing button" problem in clinical interfaces - Vibe coding vs regulated clinical software: why one iterates in hours and the other in years - An ambient AI scribe built in two weeks — deployed in India, stalled in Europe - EU AI Act, data residency laws, and the cost of compliance - Digital twins, ambient AI, and what hospitals should invest in before deploying AI Faces of Digital Health explores how healthcare systems around the world adopt digital technologies and AI. 🔗 Website: https://www.facesofdigitalhealth.com 🎧 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 #healthcareAI #openEHR #digitalhealth #healthIT #EHR #clinicalAI #healthcareinnovation 02:20 Three years of GPT: from model capability back to data and context 04:26 How AI changed software development inside an openEHR vendor 06:13 Clients now arrive with AI-informed (and misinformed) requirements 09:05 Why clinical coding belongs in deterministic systems, not ChatGPT 11:27 "Eager to please": why LLMs shouldn't be trusted with inference 14:03 Validating non-deterministic AI when unit tests no longer work 16:50 How do you trust AI? The same way you trust a colleague 18:03 Regulation, compliance costs, and the automation bias problem 20:09 Conversational EHRs and the missing-button problem 23:02 Vibe coding vs iterating regulated clinical software 25:23 Users are building AI experience faster than health systems 27:50 An ambient scribe built in two weeks — adopted in India, stalled in Europe 29:16 Data quality as the differentiator between good and bad AI systems 31:10 Ambient AI, operation prep, and the digital twin horizon

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 system to move at the pace her diagnosis demanded. This is a frank account of where AI helped, where it didn't, and the line he refuses to cross. This is a 1:1 interview in The Agentic Patient — a Faces of Digital Health series on how patients and caregivers actually use AI: which tools, which prompts, and which guardrails. GUEST Pratik Desai — New Jersey-based AI practitioner; caregiver and builder of a free, local AI tool for patients HOST Tjaša Zajc — Founder & host, Faces of Digital Health / The Agentic Patient WHAT THE CONVERSATION COVERS - Using AI to interpret a biopsy report and push for a same-day "stat" CT scan - Why AI and the doctors agreed on the care — and clashed on the speed - Finding a same-day oncology appointment through an AI-assisted network search - An error-riddled CT report the AI refused to read — and what it did to trust - Running three Claude "personas" as built-in second and third opinions - A local, open-source AI tool that keeps medical data off the cloud - How to prompt as a patient or caregiver: awareness, knowledge, advocacy — not diagnosis - Where AI failed him: prognosis, and the rule he broke under pressure - Defining quality of life when the outcome is already known CHAPTERS 0:00 How patients use AI — and the guardrails 1:20 Day one: a healthy mother, a diagnosis no one would name 3:34 The first prompt, and pushing for a stat CT scan 7:43 Using AI in the open: agreement on care, friction on speed 9:35 The counterfactual: 76 days with AI at the bedside 12:40 Finding a same-day appointment through a network search 13:40 The CT report the AI refused to read 15:50 When trust erodes: good faith, not competence 18:41 Why switching hospitals wasn't an option 21:54 Defining quality of life: her three goals 28:27 Three Claude personas, and a local private tool 35:12 How to prompt: awareness, knowledge, advocacy — not diagnosis 37:54 Where AI fell short, and the closing asks THE AGENTIC PATIENT SERIES New to the series? Start here → [PASTE PREVIOUS AGENTIC PATIENT EPISODE LINK] All episodes → https://www.facesofdigitalhealth.com/agentic-patient-blog MORE FROM FACES OF DIGITAL HEALTH 🌐 Website: https://www.facesofdigitalhealth.com 📨 Newsletter: https://fodh.substack.com 🎙 Podcast (Apple): https://podcasts.apple.com/gb/podcast/faces-of-digital-health/id1194284040 💼 LinkedIn: https://www.linkedin.com/company/faces-of-digital-health Pratik's tool Regana: https://github.com/RaganaCorp/openhealth-prototype-1 #DigitalHealth #HealthAI #AgenticPatient #PatientAdvocacy #AIinHealthcare #CancerCare #Caregiving #FacesOfDigitalHealth

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 is going wrong — and how to use it well anyway. Morley argues we systematically overestimate what these tools can do and underestimate the harm. She makes the case for "skeptical optimism," explains why bioethics principles built for one-to-one care break down against many-to-many AI harms, and reframes ambient scribes as inference engines rather than transcription services — with real consequences for coding, billing and patient records. Then she gets practical: the guardrails, prompts and habits patients (and clinicians) can use today. Guest: Dr Jessica Morley — Associate Research Scientist, Yale Digital Ethics Center; formerly UK Department of Health and Social Care and the Bennett Institute, University of Oxford. What the conversation covers: - Why "skeptically optimistic" is the honest position on health AI - AI adoption as "a hammer looking for nails" — and what needs-led design would look like instead - OpenEvidence, EU rules and the question of regulatory capture - The DeepMind–Royal Free case and why law alone isn't enough - Beneficence, non-maleficence, autonomy, justice — and where they fail for AI - Ambient AI scribes, miscoding, billing inflation and phantom tests - Paid vs free models and the widening access gap - The "ask why" rule and knowing when to walk away from a chatbot - Red-teaming your own assumptions and playing models off each other - Building a personal "harness" with skills so AI works from your history - The last-mile problem and the case for regulating LLMs as medical devices - Whether AI is narrowing how clinicians think Chapters: 02:50 — Intro: The Agentic Patient and the case for skeptical optimism 05:52 — "A hammer looking for nails": adoption pressure without a plan 07:25 — OpenEvidence, EU rules and regulatory capture 09:42 — The DeepMind–Royal Free lesson: why law needs ethics 13:29 — The bioethics principles and what they were built to do 19:40 — Autonomy, consent and the ambient-scribe problem 21:49 — Scribes as inference engines: miscoding, fraud and phantom tests 29:06 — Paid vs free models and the access gap 33:25 — Using AI safely: the "ask why" rule 37:38 — Knowing when to walk away: engagement design and degradation 44:58 — Red-teaming and playing models off each other 49:00 — Harnesses and skills: making the model work for you 51:38 — The last-mile problem and regulating AI as a medical device 58:00 — Does AI narrow the clinician's mind? The Agentic Patient series: https://www.facesofdigitalhealth.com/agentic-patient-blog Website: https://www.facesofdigitalhealth.com Newsletter: https://fodh.substack.com LinkedIn: https://www.linkedin.com/company/faces-of-digital-health

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 conference to ask what actually has to change: regulation, trust, who gets a seat at the table, and the parts of the agenda nobody is funding. Featuring: - Eric Sutherland — Senior Economist, OECD - Aferdita Bytyqi — Executive Director & Founding Partner, Digital Transformations for Health Lab (DTH-Lab) - Erza Selmani — Research Fellow, DTH-Lab - Valentina Strammiello — Executive Director, European Patients Forum (EPF) - Dr Ricardo Baptista Leite — CEO, HealthAI (the Global Agency for Responsible AI in Health) - Dr Persephone Doupi — Senior Medical Officer, Finnish Institute for Health and Welfare; President, European Federation for Medical Informatics (EFMI) What the conversation covers: - Why trust — not capability — is the binding constraint on health AI adoption - The OECD readiness gap: AI strategies, HTA frameworks and workforce upskilling - How patients really feel about AI: consent forms, transparency, and keeping clinicians central - Why youth health and wellbeing keep getting left out of AI governance frameworks - Five recommendations to make the EU AI Act work for health and competitiveness - Coordinating the EU AI Act, MDR/IVDR and the European Health Data Space - Health technology assessment and reimbursement as the real barriers to scale - AI literacy and prevention: the most underweighted lever in the room Chapters: 0:10 — Welcome: AI in Health & the 2026 OECD Conference in Madrid 0:25 — Key Stats: Only 7 of 38 OECD Countries Have a Formal AI Strategy 2:10 — Eric Sutherland (OECD): We're Not Using Data as Effectively as We Could 3:11 — Afrodita & Erza (DTH Lab): Youth Health Is Missing from AI Governance Frameworks 5:12 — Valentina Stramello (EPF): 98% of Patients Are Positive About AI, But Trust Requires Transparency 7:14 — Dr. Ricardo Baptista Leite (Health AI): 5 Recommendations to Fix EU AI Policy for Health 10:53 — Persephone Doupi (EFMI): We Must Prioritize AI Literacy and Shift Healthcare Toward Prevention — 🎧 Listen: https://www.facesofdigitalhealth.com 📩 Newsletter (incl. written OECD conference summary): https://fodh.substack.com 💼 LinkedIn:https://www.linkedin.com/company/12594967/ 🌐 Site: https://www.facesofdigitalhealth.com #DigitalHealth #HealthAI #AIinHealthcare #HealthPolicy #EUAIAct #EHDS #ResponsibleAI #PatientVoice #HealthTechAssessment #HealthTech

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 is joined by: Jonathan Bringas — CEO & Founder, Lapsi Health (Kaiku: FDA-cleared AI stethoscope, ambient scribe and clinical assistant in one device) Blaž Triglav — CEO, Mediately (drug information platform, 1M+ HCPs across Europe) Amanda Herbrand — Clinical data modelling consultant, formerly University Hospital Basel What the conversation covers: — Why EHR data fragmentation is the precondition AI hasn't solved — Shadow AI: why clinicians trust ChatGPT more than enterprise tools (and the agency hypothesis behind it) — The convergence of stethoscopes, scribes, drug information and decision support into one workflow layer — ROI in healthcare AI: financial, time, clinical accuracy — and Herbrand's fourth dimension, user satisfaction — "Doctors were the original vibe coders": the 2,000 Excel spreadsheets running European hospitals — Why FDA-cleared beats MDR in 2026 sales cycles, and what Chile's regulatory minimalism tells us — The asymmetry that will break European medtech: applicants using AI to build, regulators forbidden from using AI to assess — On-device AI, ambient computing, AGI in clinical workflows — and the de-skilling risk no one wants to discuss ⏱ Chapters 00:00 — Opening: AI agents, vibe coding, and what doctors actually want 01:30 — Data fragmentation: the precondition AI hasn't solved (Amanda Herbrand) 02:30 — Keiku: collapsing stethoscope, scribe and assistant into one device 05:15 — The convergence reshaping healthcare AI — and the shadow AI in clinic 07:30 — Why doctors trust ChatGPT more than enterprise tools: the agency hypothesis 10:30 — ROI: financial, time, clinical accuracy — and Herbrand's fourth dimension 15:30 — Choosing solutions: modular requirements and FDA-cleared moats 19:30 — EHDS and the missing connector in European standardisation 21:00 — "Doctors were the original vibe coders": the 2,000 spreadsheet problem 24:30 — The two-speed world: regulated medicine vs the Wild West 28:00 — Why Chile's regulatory minimalism beats Europe's MDR 30:30 — Agentic AI vs regulators: the asymmetry that will break European medtech 33:30 — On-device AI, AGI, and the deskilling no one wants to discuss 🎧 View the video podcast: https://www.youtube.com/watch?v=fciFwMmIfRc&t=174s 📩 Newsletter: https://fodh.substack.com 🔗 LinkedIn: / dashboard 🌐 facesofdigitalhealth.com #HealthcareAI #DigitalHealth #AmbientAI #AgenticAI #ClinicalAI #EHR #EHDS #MedTech #HealthTech

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, evaluation, red-teaming — that production deployment actually requires. Meanwhile patients navigate three different "clock speeds" (annual insurance cycles, shifting provider rosters, Medicare pricing) that bear no relation to the timeline of their own health. We cover the European vs US deployment posture, the difference between agents-with-agency and rule-based AI, why Highmark's library of one million internal prompts matters, Google Cloud's full-stack efficiency play (TPU Ironwood, Gemini, the 40% data-centre electricity reduction DeepMind delivered years ago), and the multi-agent "harnesses" — including the red/blue/green team architecture — that are starting to make production-grade healthcare AI plausible. Video: https://youtu.be/rLtaxQLgCg0?si=JDP6kK97_tYsFoSb Newsletter: https://fodh.substack.com/ Agentic Patient Series: https://www.facesofdigitalhealth.com/agentic-patient-blog

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 do it well, without harm, and in productive partnership with their clinicians. In this episode: - Why "patients know best" breaks down for chronic patients - The three archetypes AI is creating: minimizers, cyberchondriacs, and informed collaborators - What happens when doctors dismiss patients who use AI - A two-model verification method for cross-checking medical AI advice - Why "digital literacy" is the wrong name for the most important skill in modern healthcare - Two prompts that genuinely change what AI gives you back - What health ministries should actually do — and why we shouldn't offload patient AI education to doctors ⏱ CHAPTERS 00:00 Intro & reverse-role experiment 01:00 Eric Sutherland: "a data guy with personality" 01:36 A year as a chronic patient using AI 02:50 Same prompt, different LLMs — the trust problem 04:30 How The Agentic Patient series was born 06:00 Three patient archetypes 09:00 When doctors dismiss AI, patients start hiding 12:30 Dale Atkinson, HIMSS Europe, and data outside the clinic 13:30 200M weekly ChatGPT health queries — who's accountable? 15:30 The two-model cross-verification method 17:00 Making 7-minute appointments work with AI 19:30 Finland's Elements of AI — a model for healthcare 22:00 Why chronic patients may not know best 24:30 Five minutes with a health minister 27:00 Two prompts that change AI outputs 30:00 The agentic patient is a survivor, not a tech enthusiast 🎙 ABOUT THE AGENTIC PATIENT The Agentic Patient is a series under Faces of Digital Health exploring how patients and clinicians are actually using AI in healthcare — the wins, the harms, and the best practices emerging across cancer care, chronic disease, and primary care. 🔗 LINKS Newsletter: https://fodh.substack.com/p/the-agentic-patients-are-here More episodes: https://www.facesofdigitalhealth.com/agentic-patient-blog Tjaša Zajc on LinkedIn: https://www.linkedin.com/in/tjasazajc/ Eric Sutherland on LinkedIn: https://www.linkedin.com/in/esutherland272/?skipRedirect=true #AgenticPatient #AIinHealthcare #DigitalHealth #FacesOfDigitalHealth #HealthcareAI #ChatGPT #PatientEmpowerment #ChronicIllness #AIliteracy #MedicalAI #PatientAdvocacy #DigitalTransformation

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 explains why the most valuable thing AI has done for him as a patient isn't clinical — it's the 50 pages of insurance underwriting documents he fed into ChatGPT to save several thousand dollars on a plan that looked, on paper, worse. He walks through his "red team" prompting technique, the error he caught in a radiology report where legacy speech-recognition software had dropped the word "no," and why he thinks the regulatory debate around AI in healthcare should look less like drug approval and more like how we regulate nuclear power. If you want a ground-level view of what AI can and cannot do inside the American medical system, this is where to start. Additional resource with prompt tips: https://aipatients.org/ Additional resource: Scanxiety toolkit: https://edge.sitecorecloud.io/americancoldf5f-acrorgf92a-productioncb02-3650/media/ACR/Files/Clinical/Patient-Family-Centered-Care/PFCC-Scanxiety-Toolkit-Brochure-Digital-Version.pdf Full Agentic Patient series: https://www.facesofdigitalhealth.com/agentic-patient-blog Detailed summary and tips from Demetri: https://www.facesofdigitalhealth.com/agentic-patient-blog/red-teaming-your-health-plan-demetri-giannikopoulos-on-responsible-ai-the-cures-act-and-what-patients-should-actually-do 6 tips on AI use for patients: https://fodh.substack.com/p/the-agentic-patients-are-here

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 in a pediatric setting and she is trying to build the guardrails in real time. Diana frames AI in pediatric medicine as a two-front problem. On one front, Italian hospitals are racing to build the data infrastructure — EU-funded — to share research across institutions and turn billing data into diagnostic and predictive tools. On the other front, patients and families are already ahead of the system, using consumer LLMs in ways that clinicians are not trained to respond to. She describes three specific, observed harms she's seeing in pediatric practice: parents using AI to deny rare-disease diagnoses, adolescents using AI as a pro-eating-disorder coach by telling it they want to "lose weight to be healthy," young people with weak support systems finding AI easier to talk to than a clinician — including, she notes, in contexts tied to self-harm. The Agentic Patient Series: https://www.facesofdigitalhealth.com/agentic-patient-blog Agentic Patient 6 tips: https://fodh.substack.com/p/the-agentic-patients-are-here

AI tools lost half his chemotherapy log. Another found a procedure in his notes that no doctor had mentioned. In episode 2 of The Agentic Patient, Faces of Digital Health speaks with Russ Read-Barrow, who has lived with bowel cancer since 2021 and is now treated for stage 4 disease. Read-Barrow looks after AI for the business he works for, and has built his own set of AI tools to track chemotherapy symptoms, manage medication and supplements, prepare for oncology appointments and monitor new research. The conversation covers what has worked, what failed, how clinicians have responded, and why he deliberately avoids using AI to ask about his condition. The Agentic Patient is a Faces of Digital Health series on how patients use AI in their own care, and what that means for clinicians and health systems. Guest Russ Read-Barrow — patient, blogger at FcancerwithAI, responsible for AI at his workplace Host Tjaša Zajc — founder and host, Faces of Digital Health What the conversation covers • Building an AI chemotherapy symptom tracker with Claude • Why ChatGPT and Manus lost half of three months of symptom data, and how to back up AI health logs • "One tool, one job": separating symptom tracking from medication and supplement planning • Using NotebookLM to summarise medical notes and prepare for oncologist appointments • Paid versus free AI models and the privacy of personal health data • How oncologists and surgeons respond to patient-generated AI summaries • NHS records fragmentation and specialists working without the full picture • Prompting against AI sycophancy and confirmation bias • A weekly AI research agent that scans new cancer trials against a tumour profile • AI, anxiety and control: reassurance, worst-case thinking and when to call the care team • Agentic AI in practice: Claude Cowork and Dispatch from a hospital bed Chapters 02:00 Introduction: The Agentic Patient series 02:54 Diagnosis at 40: bowel cancer and smouldering myeloma 04:41 Why paper chemotherapy diaries fail, and the move to AI 07:08 Paid vs free AI models: what happens to patient data 09:55 Lost data: AI memory limits and the Google Docs backup 11:11 How oncologists and surgeons respond to AI-generated summaries 15:53 ChatGPT, Gemini, Claude, Manus: choosing tools, one tool per job 18:34 Prompting against confirmation bias, and a weekly research agent 26:36 Reassurance or worst case: AI and patient anxiety 33:03 Control, self-blame and the language of "treatment failure" 39:20 Agentic AI in practice: Claude Cowork and Dispatch 44:15 How NotebookLM surfaced an undisclosed gallbladder removal 45:49 Has AI ever been wrong? Questioning health misinformation This conversation reflects one patient's personal experience and is not medical advice. Discuss any changes to your care with your clinical team. Faces of Digital Health Website: https://www.facesofdigitalhealth.com The Agentic Patient series: https://www.facesofdigitalhealth.com/agentic-patient-blog Newsletter: https://fodh.substack.com Spotify: https://open.spotify.com/show/4cElKJHrauyP6QJQaCkvdY Apple Podcasts: https://podcasts.apple.com/gb/podcast/faces-of-digital-health/id1194284040 LinkedIn: https://www.linkedin.com/company/faces-of-digital-health Russ Read-Barrow's blog: fcancerwith.ai #TheAgenticPatient #PatientAI #BowelCancer #FacesOfDigitalHealth #DigitalHealth

This is the first episode of a special series called The Agentic Patient, which is a series about how real patients are using AI to navigate their health. We go into details, how do patients make AI help them do better, not worse, and what should we all be mindful of along the way? Which tools do they use? Which prompts? What's working, what isn't? It is not just patients on the series, it's also researchers and clinicians. These discussions are intended for informational purposes only, and should not be relied upon as a sole source of medical information or as a substitute for professional medical advice, diagnosis, or treatment. In the first episode, you will hear from Dale Atkinson. Dale was a financial crime investigator before his terminal cancer diagnosis. This is important understanding the research he did on his cancer.The skills required for a compliance officer trained him to read dense regulated documents, which is a transferable skill for medical literature. He is a compelling interview subject and, simultaneously, a survivorship-biased sample of one. Key insights: 1. ChatGPT confuses popularity with authority. 2. Clinician dismissal produces concealment, which produces real harm. 3. Most advanced-stage cancer patients are using AI in secret. 4. Use AI to narrow the search, not to summarize the answer. Read the papers yourself. 5. Context hallucination is the subtle killer not invented studies, but correctly-cited studies applied to the wrong disease. 6. Concealment is a safety emergency caused by clinician posture, and disclosure is non-negotiable regardless. 7. Custom GPTs with closed corpora are the step up from consumer chat, and require real time investment. 8. A clinical team you can bring AI findings to is a prerequisite, not a nice-to-have. 9. Clinician language and clinician posture shape patient behavior — agency begets partnership begets better care. 10. n=1 is n=1. Dale's outcome is extraordinary; his method is instructive; the two must be reasoned about separately.

This episode explores how Denmark’s 2024 health reform is accelerating an already mature digital health ecosystem, with a special focus on Copenhagen’s municipality-led elderly and community care services. Speakers Anders Elken Sønderby and Rikke Saltoft Andersen from City of Copenhagen, explain how the reform responds to demographic pressures: a growing elderly population, increasing chronic disease burden, and workforce shortages. Rather than representing a radical shift, the reform acts as an acceleration layer on top of long-established digital health infrastructure. The discussion dives into how municipalities support home care, nursing, rehabilitation, prevention, and care homes, all digitally connected with hospitals and general practitioners through Denmark’s long-standing MedCom interoperability framework. A strong emphasis is placed on care continuity, ensuring data follows citizens across hospitals, care homes, and home-based services. A standout theme is Copenhagen’s effort to include relatives and informal caregivers in care planning through digital dialogue tools and telemedicine, improving health equity and patient support. The conversation concludes with the city’s AI ambitions, particularly a proof-of-conceptwhich uses speech-to-text, summarization, and structured categorization to reduce documentation burden for care workers and improve data quality across 10,000 staff members.

In this episode of Faces of Digital Health, host Tjasa Zajc sits down with Marc D. Ritter, CEO of AWE Digital Wellness, to explore the science behind digital addiction and the growing impact of social media, smartphones, and AI on mental health—especially in children and teenagers. From dopamine-driven engagement to AI companions replacing human relationships, this conversation dives deep into what neuroscience tells us—and what we should be doing about it. Marc D. Ritter explains that digital addiction is not simply about excessive use, but about a loss of agency—when individuals can no longer function normally without technology. He connects this to neuroscience, highlighting how platforms are designed to exploit core human needs like connection, novelty, and validation. The discussion expands into emerging trends such as AI companions and relationships, raising concerns about reduced social interaction, increased confirmation bias, and a narrowing of perspectives. While AI may help alleviate loneliness, it may also fundamentally alter how humans relate to one another. A major focus is on children, where excessive smartphone use is linked to attention issues, emotional distress, and impaired development. Marc emphasizes that prevention is critical, as the long-term effects are still not fully understood. The conversation also examines global regulatory efforts, from social media bans in Australia to stricter controls in China, and debates whether these are necessary protections or reflections of generational misunderstanding. Importantly, Marc argues that traditional digital detoxes are ineffective. Instead, sustainable change requires redesigning behavior through awareness, habit formation, and reward-based systems—approaches implemented in AWE Digital Wellness programs and their “Smarter Phone.” Overall, the episode highlights a key tension of modern society: while technology offers convenience and connection, it also risks undermining autonomy, cognition, and human relationships if left unchecked. Website: www.facesofdigitalhealth.com Newsletter: https://fodh.substack.com/

In this episode of Faces of Digital Health, host Tjasa Zajc sits down with Nasser Arif, a Cybersecurity Manager for two NHS Trusts in Northwest London. The conversation moves beyond the technical "bits and bytes" to explore the human element of security. Nasser explains his daily routine of balancing urgent patient-care fixes with long-term strategy and emphasizes that effective cybersecurity in a hospital setting requires a deep understanding of clinical workflows. The dialogue covers the impact of high-profile attacks like the 2024 Synnovis incident, the importance of "cyber-hygiene" in personal life as a bridge to professional safety, and the evolving regulatory landscape of the NHS. Nasser argues that cybersecurity is moving away from being a sub-department of IT and emerging as a standalone profession critical to patient safety.

1 view Mar 19, 2026 In-person video interviewsThe European Health Data Space (EHDS) isn't just a new regulation—it’s a "Magna Carta" for healthcare innovation. In this interview from the Smart Bridges Event, we sit down with industry expert Dennis Geisthardt, Head of digital.lab, to break down the implementation timeline (2025–2031) and what it means for the pharmaceutical industry, medtech, and patients across Europe. We dive into the "Countdown to 2027," the challenges of intellectual property vs. data sharing, and how opening up access to clinical data could finally unlock breakthroughs for rare diseases and personalized medicine. In this video, you’ll learn: The 3 major milestones of EHDS implementation (2027, 2029, 2031). Why "Primary Use" vs. "Secondary Use" of data matters for your healthcare. The risks and rewards for the private sector and Big Pharma. How EHDS could revolutionize market access (AMNOG) and AI-driven drug discovery. 00:30 – Introduction: The Smart Bridges Event 03:45 – Why EHDS is a 100-year milestone for healthcare 04:30 – The role of the private sector in co-creating the framework 04:10 – What is EHDS? Primary vs. Secondary data use explained 05:00 – The Timeline: The "Countdown" to 2027, 2029, and 2031 06:30 – Who is a "Data Holder"? (Hospitals, Pharma, & MedTech) 07:45 – Industry Challenges: IP Rights, Trade Secrets, and Competition 08:50 – Revolutionizing Market Access (AMNOG) through data 09:40 – A "Magna Carta" for Rare Diseases and AI Research 10:30 – Identifying why therapies work (or fail) using broader datasets 11:20 – Closing: Why EHDS requires a "European Village" to succeed

Are we overhyping AI in healthcare before building the foundations? In this interview from the HIMSS Global Conference, Anne Snowden (Chief Scientific Research Officer, HIMSS) breaks down the latest data on global digital health maturity. We discuss why "Person-Enabled Health" is lagging, how countries like Germany are using data to transform their hospital systems, and why the shift from disease management to proactive prevention is the only way to save our healthcare economy. Topics covered: - The 4 dimensions of digital health transformation. - Why AI requires better data governance and interoperability. - Comparing digital progress in Europe, North America, and Asia-Pacific. - The role of "Agentic AI" in supporting patients at home. Video: https://youtu.be/6e8pzH_VslE?si=y6b6y89IoTgtw5at www.facesofdigitalhealth.com Newsletter: www.facesofdigitalhealth.com

How is AI actually changing the day-to-day life of a clinician? In this episode, we sit down at the Smart Bridges GmbH Digital Health Excellence Forum in Frankfurt with Dimitri Varsamis PhD, Senior Programme Manager, Central London Community Healthcare NHS Trust and Georgi Nalbantov, PhD, Chief AI Officer at Hospital Zdraveto. They covered the impact of AI on the clinical workforce: 🎯 The Administrative "Wraparound": How AI is tackling the PDF-heavy burden of patient record review. 🎯 The Shadow AI Trend: Why doctors are using ChatGPT "under the table" and how hospitals should respond. 🎯 Vibe Coding: Can a doctor build an app without knowing how to code? 🎯 The Intelligence Debate: Is AI de-skilling the medical profession or just evolving it? 🎯 The Data Dilemma: Why 97% of healthcare data is still unused and how AI might finally fix it. Video episode: https://lnkd.in/dzpMuvrU www.facesofdigitalhealth.com Newsletter: http://fodh.substack.com/

Denmark has been a digital health frontrunner for over two decades. In this episode, recorded live in Barcelona, Morten Elbæk Petersen, CEO of sundhed.dk, shares how Denmark launched its national patient portal in 2002 — long before most European countries began digitizing patient access. Now, as Denmark prepares for a major health reform culminating in the establishment of Digital Health Denmark in 2027, the country is modernizing legacy systems, strengthening cybersecurity, integrating secondary data, and shifting care from hospitals to homes. This conversation explores what long-term digital maturity really means — the benefits, the legacy challenges, and the governance reforms shaping Denmark’s next chapter.

In this episode of Faces of Digital Health, Tjaša Zajc speaks with Dale Atkinson, a stage 4 oesophageal cancer patient who was told he had 11.5 months to live—and who is still alive today. Dale shares how he applied his compliance and investigation skills to healthcare: reading thousands of research papers, building a research-grounded AI workflow to sense-check drug interactions and pathways, and learning how to communicate with clinicians to be taken seriously. We discuss patient agency, the doctor–patient relationship, the promise (and risks) of AI for patients, the digital divide in healthcare, and why quality of life must be central to care decisions. Dale also shares how his journey led to new work in patient advocacy, the Beyond the Standard foundation, and the Clear Path Clinic vision for integrative oncology and wellness. Topics include: patient empowerment, AI in patient journeys, evidence-based complementary approaches, healthcare equity, clinician workload, prognosis anxiety, and new patient-led models of care. TIMESTAMPS (CHAPTER-STYLE) * 00:01 Intro: why patient agency matters more as systems strain * 04:12 Dale’s story begins: diagnosis after wife’s lung cancer + mother’s death * 07:22 Stage 4, inoperable, palliative care: the emotional impact * 08:31 Asking for a timeline: why Dale wanted prognosis data * 09:18 How a financial crime investigator becomes a “patient investigator” * 10:55 The deep dive: thousands of papers, books, and expert conversations * 12:09 Where AI enters: building a research-grounded model for sense-checking * 15:00 Standard of care + complementary approach (not “alternative”) * 16:08 Friction with clinical advice; nutrition and chemo trade-offs * 17:48 Choosing treatments based on quality of life and realistic benefit * 20:06 When Dale felt the trajectory could change: from survival to stability * 21:11 Anxiety, recurrence risk, and “no evidence of disease” vs remission * 24:46 Missed symptoms, dismissal, and why patient agency is learned the hard way * 28:32 “Love-hate” to collaborative: a new model for doctor–patient dynamics * 32:16 How to communicate to be heard: bite-sized, stakeholder-specific info * 35:28 Clinicians under pressure: emotional load and “factory line” care reality * 37:58 AI impact in the patient community—and why it’s accelerating * 40:27 Digital divide concerns: will digital skills determine outcomes? * 42:36 AI and emotion: pessimism loops, “horror statistics,” and mental safety * 45:02 A new career: Beyond the Standard, Clear Path Clinic, book, advisory work * 49:25 Closing reflections and thanks Video: https://youtu.be/VeIZkRraxWc www.facesofdigitalhealth.com Newsletter: https://fodh.substack.com/

In this episode of Faces of Digital Health, host Tjasa Zajc sits down with Bart de Witte for a candid conversation on what agent-based AI really means for healthcare. Recorded during a car ride in Ljubljana, the discussion explores why healthcare needs an operating system for AI agents, the risks of agent autonomy, privacy-by-design through on-device AI, and why monolithic EHRs struggle with the next generation of clinical workflows. Bart also shares his vision for open, decentralized AI ecosystems, certified clinical agents, and swarm intelligence and explains why Europe may be uniquely positioned to lead this shift. A practical, forward-looking episode for anyone working at the intersection of healthcare, AI, and digital infrastructure. Youtube video version: https://youtu.be/F_GRfIbqJJM?si=qheSsKvcg6WXUqTU

As artificial intelligence rapidly enters healthcare, bold claims about replacing doctors dominate headlines. But on the clinical frontline, the reality is far more complex. In this episode of Faces of Digital Health, oncologist Dr. Derrick Khor shares an unfiltered view from inside the NHS, unpacking what AI actually changes — and what it doesn’t. Rather than framing AI as a threat, the conversation explores how it already supports clinicians and patients alike: simplifying complex medical information, helping patients understand their diagnoses, and accelerating access to evidence. Yet the biggest constraint isn’t technology — it’s data. Without reliable access to their own health records, patients and AI tools alike remain limited. The discussion also tackles a growing contradiction in healthcare systems: simultaneous staff shortages and doctor unemployment. Training bottlenecks, hiring freezes, pay erosion, and misaligned workforce planning have created a situation where well-trained clinicians struggle to find roles, even as demand for care continues to rise. Beyond workforce pressures, Dr. Khor explains why most health tech never makes it into daily clinical use. Solutions often fail not because they’re unsafe or ineffective, but because they don’t fit real workflows. If technology adds friction even a single unnecessary click — clinicians won’t adopt it. www.facesofdigitalhealth.com https://fodh.substack.com/

Ambient documentation is becoming normal in clinics. But the most interesting “voice” capability may not be transcription at all.In the latest episode of Faces of Digital Health, Henry O'Connell (Canary Speech) explains why voice biomarkers stalled for decades: the field analyzed words, not the neurological signal behind speech production.Canary’s approach focuses on the “primary data layer”—how the central nervous system drives respiration, vocal cord vibration, and articulation in real conversational speech. A few details that stood out: ⏱️ ~45 seconds of conversation can be enough for assessment 🎛️ 2,590 voice features analyzed every 10ms (millions of data points) 🎯 Reported accuracy: 98%+ for progressive neurological conditions (e.g., Parkinson’s/Huntington’s/Alzheimer’s), while behavioral health tends to be lower (often in the 80s) 🌍 Validation is repeated per language/culture—no “deploy and hope” model 🧭 Use cases go beyond diagnosis: screening in primary care, clinical trials outcome tracking, and even in-room aggression risk signals to help protect staff One line that captures the idea: it’s about measuring what’s present in the moment—objective signals that complement clinical judgment. Time stamps: 00:00 Introduction to Voice Biomarkers in Digital Health 01:48 Historical Context and Evolution of Voice Analysis 06:52 Innovative Approaches to Voice Data Analysis 08:54 Technical Insights into Voice Analysis 16:07 Accuracy and Efficacy of Voice Biomarkers 28:27 Challenges and Acceptance in Clinical Practice 35:04 Ethical Dilemmas in Genetic Testing 36:32 Understanding Genetic Information and Its Implications 37:58 Objective vs. Subjective Assessments in Mental Health 39:59 Proactive Care and Early Detection of Cognitive Decline 42:43 Technology in Wellness and Employee Mental Health 45:18 Data Privacy and Ethical Considerations in Health Tech 49:06 Remote Monitoring and Clinical Trials 01:00:57 Future of Health Technology and Global Expansion Youtube: https://youtu.be/662VfHhdSFQ?si=t80_PblCf1L6dv4V Website: www.facesofdigitalhealth.com Newsletter: https://fodh.substack.com/

The conversation explores the impact of robots on mental health and their role in healthcare. Anthropologist Tanja Ahlin and Faces of digital health host Tjasa Zajc discuss the fascination with robots, the ambiguous identity of robots, their use in elder care, the challenges of integrating robots, the global perspective on robots, and the misconceptions and realities of robots. The conversation explores the impact of technology on different generations, the role of individual choices in technology use. The speakers also talk about concerns about children and technology, the role of parents, and the impact of technology on human development and creativity. It also emphasizes the importance of optimism and flexibility in adapting to technology. Chapters 02:00 The Fascination with Robots 15:01 Robots in Elder Care 14:15 The Global Perspective on Robots 20:46 Misconceptions and Realities of Robots 29:57 Technology and Generational Sensitization 35:19 The Role of Technology in Creativity 44:28 The Societal Impact of Technology 51:54 The Biological and Psychological Impact of Technology

In this episode, Dipak Kalra, President of the European Institute for Innovation through Health Data, joins Faces of Digital Health to break down the real progress (and real gaps) in European health data, from legacy “hybrid” paper/digital workflows to the underused potential of clinical decision support that depends on structured data. We explore what EHDS changes—especially the promise of a standardized, downloadable patient dataset—and what it could unlock for patient-facing apps, analytics, and more active self-management. We also tackle the hard questions: how to protect citizens from misuse and scams, how opt-out choices might create bias in research and AI, why “beating clinicians with a stick” won’t fix data quality, and why delays aren’t just bureaucratic—they can translate into avoidable harm. 02:00 The State of Healthcare Data in Europe 07:59 Challenges in Data Interoperability 12:31 The Role of Patients in Data Management 16:37 AI and Data Privacy Concerns 22:01 Patient Consent and Data Usage 28:00 Optimism for the Future of Health Data 31:03 Optimistic Futures for EAGDS 33:02 Preparing for EHDs: Readiness and Challenges 35:48 Data Quality and Workforce Challenges 37:58 Delays and Future Discussions on EHDs 39:53 The Urgency of Health Data Readiness 42:38 The Evolving Role of Patients in Healthcare 50:19 Building Trust Among Healthcare Stakeholders 57:58 The Future of Healthcare Data Discussions

Ali Parsa is a serial entrepreneur known for founding companies that challenge traditional models of healthcare delivery. Over two decades, he has built organizations at the intersection of healthcare, technology, and systems redesign—each shaped by an ambition to make care more efficient, accessible, and equitable. In this episode, Tjasa Zajc and Ali Parsa explore how agentic AI is redefining healthcare and what it really takes to build transformative companies in a fast-shifting world.Ali dives into why healthcare remains stuck in an economic imbalance—unlimited demand but constrained clinical supply—and why autonomous, real-time AI agents may finally rebalance the system by taking over 20–30% of routine clinical tasks. He explains how Quadrivia builds agents that can talk to patients, follow multi-step workflows, and operate within strict guardrails to avoid hallucinations and workflow drift.But this episode goes far beyond technology. Ali opens up about entrepreneurship:• why speed is the only real advantage startups have,• how to hire “missionaries, not mercenaries,”• why products must be excellent from day one,• how processes must be simplified and rebuilt for speed,• and why losing control—even briefly—can cost a company everything. 04:00 The Quest for Differentiation in Healthcare 09:21 AI Agents: Revolutionizing Clinical Tasks 12:42 Building a Reliable Knowledge Base 15:17 Ensuring Workflow Integrity in AI 19:46 Global Expansion Strategy of Quadrivia 22:58 Navigating Trust and Cultural Differences 26:04 Competing with Giants in the AI Space 30:22 Agility in Decision Making 31:15 Lessons from Babylon's Legacy 33:08 The Importance of Speed in Entrepreneurship 35:59 Navigating Failure and Success 39:44 Optimizing People, Product, and Processes 41:25 The Role of Luck in Entrepreneurship 47:14 The Birth of Quadrivia 49:04 Insights from Global Healthcare Markets www.facesofdigitalhealth.com http://fodh.substack.com/

In this episode of Faces of Digital Health, we sit down with Anne Forsyth, Hospital leader in clinical applications from Women's College Hospital in Canada, to explore how AI — especially generative AI — is reshaping daily clinical practice. Over the past two years, enthusiasm for AI has skyrocketed inside hospitals, with clinicians themselves requesting new tools rather than resisting them. We discuss the cautious but deliberate rollout of AI scribes, the still-emerging trust in decision-support AI, and the safety and change-management considerations that mirror (and sometimes exceed) traditional IT implementations. Anne offers an honest look at the financial challenges of sustaining AI tools in publicly funded health systems and shares practical advice for hospitals navigating funding models, clinical buy-in, and responsible innovation. Show notes: 01:50 – Current AI Implementations 03:21 – Safety and Risk Considerations 04:00 – Comparing AI Rollouts to Traditional IT Tools 05:10 – The Business Equation: Funding AI in Public Healthcare 06:20 – Advice for Hospitals on Sustainable AI Adoption 06:40 – Looking Ahead: The Future of AI in Clinical Applications www.facesofdigitalhealth.com https://fodh.substack.com/

In this Faces of Digital Health episode Dr. David Dodick, Chief Science and Medical Officer at the Atria Health Institute and Co-Chair of the Atria Research Institute talks about brain health, dementia prevention, the rapidly evolving science of Alzheimer’s, and how digital tools and AI are transforming care. We also cover why women face higher Alzheimer’s risk, the microvasculature’s role in cognition, and the biggest leap in migraine treatment: CGRP-targeting therapies. A must-watch if you’re curious about prevention, personalized risk, and which consumer tech is actually useful today. Dr. David Dodick trained at the Mayo Clinic and served on the faculty there for more than three decades. At the Mayo Clinic, he founded the Neurology Residency Program, the Headache Fellowship Program, the Sports Neurology and Concussion Program, the Migraine and Headache Program, and co-founded the Vascular Neurology/Stroke Program. What you’ll learn: 1. How much dementia is realistically preventable—and how to lower your risk 2. Why amyloid ≠ destiny, and what “biological vs. clinical” Alzheimer’s means 3. The role of sleep, hearing, blood pressure, metabolic health, and social connection 4. Smart wearables that matter (AFib, BP, CGM) and what’s just hype 5. How AI “diagnostic orchestrators” could supercharge clinicians and empower patients 6. Migraine red flags (when to go to the ER) and the CGRP revolution in treatment

Stephen Ryu, a neurosurgeon and key figure in the Stanford Neuroprosthetics Lab joins Tjaša Zajc on Faces of Digital Health to demystify brain–computer interfaces (BCIs): how they work, why invasive systems outperform non-invasive ones, realistic use cases (motor control and speech), timelines and durability, safety and MRI trade-offs, cybersecurity, business models, and what Paradromics is building as a high-bandwidth BCI platform. Throughout, Stephen separates science fact from sci-fi, stressing near-term potential to restore communication and movement for people living with paralysis, while noting earlier-stage areas like mental health and pain. What we cover: - Invasive vs. non-invasive BCIs, and why electrode proximity to neurons matters for performance - Decoding motor intent and speech: training, language considerations, and LLM-enabled synthesis - Safety, surgery, and durability (why 10-year implant lifespans are a meaningful target) - MRI/CT compatibility trade-offs (and parallels to pacemakers/DBS) - Cybersecurity realities (what BCIs can not do today) - Business models, regulation, and reimbursement paths for medical-grade BCIs - Paradromics’ differentiation: a high-bandwidth platform designed to scale across use cases - Future indications: pain, sensory restoration; earlier stage: mental health biomarkers - The human impact: restoring connection for people who can’t move or speak Chapters: 01:37 How BCIs work; signals, decoding, invasive vs. non-invasive 07:13 Surgery basics, risks, and why proximity boosts performance 09:36 Decoding speech & language considerations 13:31 What’s most advanced today: motor + speech 14:58 Mental health: biomarkers and why it’s early 17:48 Longevity, MRI/CT limits, realistic replacement intervals 21:16 Patient perception: fear, performance, and value vs. alternatives 25:04 Paradromics’ platform & high-bandwidth approach 29:22 Platform use cases by brain area (motor, auditory, etc.) 31:18 Cybersecurity: risks today vs. sci-fi 32:35 Business models, regulation, and access 36:42 Trials landscape; Paradromics’ timeline 37:53 Biggest concerns: hype vs. reality 39:50 Three things everyone should know about BCIs 42:10 Potential in pain management 44:41 Role of AI/ML in decoding and assistive apps 46:36 Final thoughts www.facesofdigitalhealth.com Newsletter: https://fodh.substack.com/

Mazin Gadir, a regional expert in digital health strategy, Director with Alvarez & Marsal Healthcare and Life Sciences in Dubai, reflects on the Middle East’s evolution from early EMR adoption to AI-driven healthcare. From Dubai’s innovation playground to Abu Dhabi’s depth in research, he explains how rivalry between Gulf states fuels progress and why exporting tested models to Africa and beyond is the new norm. He also questions the myth of leapfrogging, pointing out that fragmentation and lack of research remain barriers. This candid conversation explores regulation, interoperability, and the role of academia in sustaining innovation. www.facesofdigitalhealth.com Newsletter: https://fodh.substack.com/ 00:00 – Introduction: blockchain hype and digital health evolution 01:00 – From EMRs to health information exchanges in the Middle East 03:00 – The impact of COVID-19 on digital transformation 04:30 – Rise of patient empowerment and consumerization of healthcare 05:30 – The missing role of academia and research in the region 07:00 – Comparing Abu Dhabi and Dubai’s different innovation models 09:00 – Dubai as a playground for testing, Abu Dhabi for research depth 10:30 – Rivalry across GCC states as a driver of innovation 12:00 – Exporting Gulf digital health models to Africa and beyond 14:00 – Challenges of scaling across Middle Eastern countries 16:00 – Interoperability: current maturity and pilgrim use cases 18:00 – Opportunities and limits of leapfrogging 20:00 – The role of academia and sustainability of innovation www.facesofdigitalhealth.com https://fodh.substack.com/

In this interview, healthcare futurist Reenita Das, Partner at Frost&Sulivan, Healthcare Changemaker, voted top 100 women in Healthtech and Femtech, reflects on the balance between rapid digital health innovation and the human side of care. Speaking from WHX Tech in Dubai, she highlights why empathy, kindness, and caregiving remain essential despite the rise of AI. She also shares insights on the UAE healthcare system—its sophistication, inequities for migrant workers, and opportunities in mental health and digital innovation. Drawing from her experience in 10+ healthcare systems worldwide, Reenita compares global approaches and emphasizes food and lifestyle as drivers of health outcomes. 00:00 – Introduction and reflections on WHX Tech conference 01:00 – Why the human side of healthcare is more important than ever 02:30 – Risks of AI reducing clinician-patient time 03:30 – What AI can and cannot do in healthcare 05:00 – UAE healthcare system: sophistication and inequities 06:30 – Migrant workers and challenges of access to care 07:00 – Comparing healthcare systems across the US, Japan, and India 08:30 – Food and lifestyle as drivers of health outcomes 09:30 – Digital health opportunities in the UAE (mental health, diagnostics, aggregation) 10:30 – Misconceptions about women, culture, and technology in the UAE 11:30 – Advice for startups entering the region www.facesofdigitalhealth.com https://fodh.substack.com/

Dr. Sam Shah is a clinician, advisor, and former startup founder. At WHX Tech he sat down with Tjasa Zajc to discuss the future of dentistry, oral health, and broader digital health innovation. He explains why dentistry has lagged behind other specialties, how oral health connects to overall wellbeing, and why the UAE stands out as “the most digitally connected place on the planet.” Sam highlights government-backed sandboxes, integration engines, and lessons other countries can learn from the Emirates—while also pointing to persistent challenges in standards, interoperability, and prevention. Show notes: 00:00 – Introduction and Sam’s journey from dentistry to digital health 01:00 – Innovations in dentistry: apps, smart toothbrushes, imaging AI 02:00 – Why dentistry lags behind in digital adoption 03:00 – Oral health and its impact on overall health and wellbeing 04:00 – The social determinants of oral health 05:00 – Career across multiple domains: public health, startups, law, economics 06:00 – Why global solutions can’t simply be “lifted and shifted” 07:30 – What makes the UAE stand out: digital connectivity and government support 08:30 – Key government initiatives: Malaffi and Dubai Sandbox 10:00 – Cooperation between federal and emirate levels 11:00 – Lessons for other countries: leadership that listens 12:00 – Areas for improvement: standards, interoperability, prevention 13:00 – Longevity, wellness, and the need for value-based care

At WHX Tech, cybersecurity expert Dr Leila Taghizade, Group Head of Cyber Risk Management / CISO IberoLatAm at Allianz, breaks down what every individual—and every hospital—should know about protecting themselves in 2025. From the basics of stronger passwords and two-factor authentication to the risks of free apps and third-party tools, she explains in clear terms why “there’s no such thing as free lunch” in cybersecurity. Leila also highlights the dangers of phishing, the vulnerability of medical devices, and how AI both helps defenders and lowers the cost of attacks. Show Notes 00:00 – Introduction: why cybersecurity basics matter in 2025 00:30 – Strong passwords, two-factor authentication, limiting app permissions 02:00 – Giving apps only the access they really need 03:00 – Cybersecurity in healthcare: medical devices as weak links 04:30 – Default passwords and firmware updates as major risks 05:30 – Phishing: why reporting is critical for protection 07:00 – Everyday cyber hygiene: logging out, password managers 08:30 – AI’s impact on cybersecurity: lowering cost of attacks, improving defense 10:00 – The risks of free apps and third-party tools 11:00 – Data leaks and how AI tools may unintentionally share information 12:30 – AI as a double-edged sword: prevention vs. risk 14:00 – Final advice: caution doesn’t mean fear, but informed use www.facesofdigitalhealth.com Newsletter: https://fodh.substack.com/

Did you know that  the lifetime prevalence for experiencing a sexual problem is above 70% for women and 55% for men? And when we talk about the problem in conjunction with the distress, it's 25% in women and around 20% in men. So one in four women has the problem right now they are silently suffering because of various issues - challenges discussing issues with their doctor, inadequate awareness among physicians and more. In this episode of Faces of Digital Health, we dive into a topic often overlooked in healthcare: women’s sexual health and sexual distress. Clinical psychologist and sex therapist from Charite, Berlin Selina Marie Kronthaler discusses the prevalence of sexual dysfunction, why sexual distress is still underdiagnosed, and the impact on relationships and quality of life. We explore how digital health tools and evidence-based interventions are being developed to support women in navigating sexual pain, arousal disorders, and emotional challenges in a private, accessible way. The conversation highlights the gaps in current healthcare training, the role of gynecologists, and why femtech innovation and funding are critical to addressing an underserved area that affects 1 in 4 women. E-Mail: selina.kronthaler@charite.de Instagram: https://www.instagram.com/selina.kronthaler/ (German Therapy Website: https://www.selinakronthaler.de/) www.facesofdigitalhealth.com Newsletter: https://fodh.substack.com/

In this thought-provoking conversation, surgeon Shafi Ahmed and digital health futurist John Nosta revisit Geoffrey Hinton’s bold 2016 prediction that radiologists would soon be replaced by AI. 🔍 Topics covered: Why AI hasn’t replaced radiologists yet—and what’s holding it back The role of large language models in diagnostics and clinical practice The debate over accuracy, intuition, and the “art” of medicine Accountability and liability when AI makes mistakes in healthcare The deeper question: is AI truly intelligent, or does it think in a way fundamentally different from humans? 💡 Shafi and John don’t always agree—but together they explore the future of medicine, the limits of technology, and the ethical, clinical, and philosophical challenges that will define healthcare in the AI era. 02:02 Introduction and Debate Overview 02:17 AI in Radiology: Predictions vs. Reality 04:00 Challenges in AI Implementation 06:32 Generative AI in Clinical Practice 08:50 Ethical and Regulatory Concerns 10:19 Philosophical Perspectives on AI 16:39 Accountability in AI-Driven Healthcare 19:57 AI's Cognitive Differences and Impact on Healthcare 21:30 Conclusion and Final Thoughts www.facesofdigitalhealth.com Newsletter: https://fodh.substack.com/

India’s journey in digital health began just over a decade ago, yet it has quickly grown into one of the most ambitious transformations worldwide. It started in 2012 with maternal and child health programs, expanded to cover non-communicable diseases, and gained momentum with the launch of the Ayushman Bharat Digital Mission (ABDM) in 2020. At the heart of ABDM is the ABHA ID—a unique 14-digit health identifier for every citizen. Combined with registries for facilities and professionals, and a consent-based health information exchange, India has laid the groundwork for a truly interoperable system. So far, over 800 million ABHA IDs have been created. Yet, only around 20% of facilities and professionals are onboarded, with adoption challenges in the private sector. Ritesh Aeron is a distinguished digital health expert and program management specialist with a strong track record of driving large-scale health systems transformation through digital innovation. He currently serves as a Director at the Equitable Global Healthcare Foundation (EGHF), a role he has held since April 2025. In this discussion he explains: What is the current state of healthcare digitalization in India? How did India’s digital health journey start and evolve? What is the Ayushman Bharat Digital Mission (ABDM) and how does it work? What is the ABHA ID and why is it important? How does interoperability and consent-based data exchange function? How many people and facilities are onboarded so far? What challenges remain in adoption and regulation? How is data being used for population health and surveillance? What role does AI and innovation play in care delivery? How open is the Indian market for global providers? How is AI affecting both healthcare delivery and the software workforce?

Healthcare technology has long promised efficiency, but for many clinicians, the reality has been different: burnout, frustration, and time stolen from patient care. In this episode of Faces of Digital Health, Tjasa Zajc spoke with Coray Tate, VP of Clinical Research at KLAS Research, about what the data actually reveals about burnout, electronic health records (EHRs), and the role of new technologies like ambient speech and AI. Key takeaways: Culture matters more than technology choice. The Arch Collaborative found that execution and organizational support around EHRs matter more than the specific vendor. Burnout isn’t primarily caused by EHRs. Instead, clinicians report that feeling unheard and disconnected from leadership drives dissatisfaction. The Middle East stands out. Collaboration-focused cultures there show significantly lower burnout rates than the U.S. or Europe. Ambient speech is delivering results. Across ~25 health systems, burnout rates dropped by 12% after adopting ambient documentation tools. AI will redefine expectations. We are at the cusp of moving from “taskmaster” EHRs to supportive assistants that reduce cognitive load and help clinicians reclaim personal time. The future of healthcare technology isn’t just about smarter systems — it’s about listening, collaborating, and ensuring that innovations help clinicians live better lives inside and outside the hospital. www.facesofdigitalhealth.com Newsletter: https://fodh.substack.com/ Youtube: https://www.youtube.com/watch?v=EZAhDhrNZu0