Podcast profile
By Tjasa Zajc
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.
Latest episode
47 min
Topics
Healthcare software, virtual care, health platforms, patient experience, and digital services.
Clinical and health data, interoperability, analytics, privacy, and healthcare information systems.
Robot design, perception, control, manipulation, deployment, and robotics ecosystems.
Formats
Host-led conversation where a guest supplies most of the subject matter.
Interpretation, opinion, debate, review, and analytical discussion.
Audience level
Assumes basic technology literacy and familiarity with common products, roles, and terminology.
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Episodes shown — 10 of 25
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.
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.
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.
"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.
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.
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.
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.
OpenEvidence didn't leave Europe because of regulation alone — its ad-and-data business model never fit the European market.
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.
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.