Podcast
Faces of Digital Health
Hosted by Tjasa Zajc · EN
Faces of Digital Health is a healthcare podcast about digital health technology, solutions, and innovations in practice, presented through real healthcare systems and the people behind them. The show looks into how different countries adopt digital health, what barriers they face, and why similar approaches succeed in some places but not others.Episodes feature clinicians, patients, entrepreneurs, and health system leaders sharing their practical experience. The focus is on digital health trends, practical digital health, and actionable insights for anyone curious about how digital health works in practice.
31episodes
Episodes
Newest firstAll episodes
Doctors are using ChatGPT in clinic and not all care about privacy (Health.Tech 2026)
1w ago00:42:40Tap to summarizeDoctors 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
Transcribe →
Aashima Gupta (Google Cloud): "Healthcare doesn't lack vision. It lacks courage."
2w ago00:32:36Tap to summarizeMost 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
Transcribe →
I Used AI for My Chronic Illness for a Year. Here's What Went Wrong. (Tjasa Zajc, Agentic Patient)
3w ago00:33:21Tap to summarizeThe 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
Transcribe →
The Agentic Patient 4: Finding Insurance and Red Team Analysis
4w ago00:52:26Tap to summarizeWhen 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
Transcribe →
The Agentic Patient 3: When ChatGPT from Parents Meets Clinical AI Decision Support Systems
4w ago00:26:51Tap to summarizeDiana 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
Transcribe →
The Agentic Patient 2: One Tool, One Job - Cancer management AI toolset
Apr 3000:43:26Tap to summarizeRuss was diagnosed with bowel cancer in late 2021 and simultaneously with smoldering myeloma, aged 40. The smoldering myeloma has been inactive; the bowel cancer has progressed through multiple surgeries (bowel, liver, lung) and is now stage 4, on active chemotherapy. He runs AI for the business he works for, so his day job is adjacent to the technology. He blogs publicly about his disease at fcancerwith.ai and on LinkedIn. He is British; cared for by the NHS with some private care around the edges. He is articulate, technically fluent, and willing to pay roughly £200 a month for AI subscriptions.
Transcribe →
The Agentic Patient 1: ChatGPT as a triage layer for cancer patients
Apr 3000:41:55Tap to summarizeThis 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.
Transcribe →
How Copenhagen Uses AI and Digital Care to Support an Aging Population
Apr 1700:30:35Tap to summarizeThis 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.
Transcribe →
AI and mental health: Are smartphones and AI reshaping our brains; and our society? Marc D. Ritter
Apr 1400:41:42Tap to summarizeIn 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/
Transcribe →
Cybersecurity 2.0: Defending Healthcare in the Age of Generative AI
Mar 2400:39:52Tap to summarizeIn 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.
Transcribe →