Faces of Digital Health

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. 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.

  1. FEB 17

    Are Engaged, AI Equipped Patients Becoming Essential For Good Outcomes? (Dale Atkinson)

    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/

    50 min
  2. NHS Workforce Crisis: Pay, Training Bottlenecks, and Retention (Derrek Khor)

    JAN 29

    NHS Workforce Crisis: Pay, Training Bottlenecks, and Retention (Derrek Khor)

    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/

    45 min
  3. Voice tech and AI: Is Detecting Diseases Based on 45 s of Voice Accurate? (Henry O'Connell)

    JAN 22

    Voice tech and AI: Is Detecting Diseases Based on 45 s of Voice Accurate? (Henry O'Connell)

    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/

    1h 10m
  4. EHDS, Opt-Out, and Trust: The Next Decade of European Health Data (Dipak Kalra)

    12/22/2025

    EHDS, Opt-Out, and Trust: The Next Decade of European Health Data (Dipak Kalra)

    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

    1 hr

Trailers

5
out of 5
20 Ratings

About

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.

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