Faces of Digital Health

Tjasa Zajc

Faces of Digital Health is a podcast about digital health, exploring how different healthcare systems adopt technologies in healthcare. Its aim is to satisfy curiosity about different cultures, identify barriers to success in different countries and finding answers and advice for accelerating the success of digital health entrepreneurs.

  1. What GTM Strategy Should Digital Health Startups Have in 2026? (Ruchi Dass)

    23H AGO

    What GTM Strategy Should Digital Health Startups Have in 2026? (Ruchi Dass)

    Digital health is no longer in its honeymoon phase. The funding boom is over. AI hype is everywhere. Health systems are overwhelmed. And startups can no longer survive on compelling pitch decks alone. In this episode of Faces of Digital Health, Tjaša Zajc speaks with Ruchi Dass, a former dental surgeon turned public health leader, policy contributor, investor, and advisor to startups scaling across the US, UK, India, Africa, and the Middle East. Ruchi describes a fundamental change in go-to-market (GTM) strategy: Workflow integration is non-negotiable (standalone apps struggle). Reimbursement clarity is critical. Regulatory strategy is part of GTM, not an afterthought. Time stamps: 00:06 – Introduction: startups, global markets, and unconventional careers 01:18 – From dental surgery to global public health and digital health 03:05 – The GTM shift: from promise to proof 04:49 – Staying investable: the four pillars 08:22 – AI ROI: clinical vs operational value 12:17 – Enterprise scaling and “sell to the mindset” 15:05 – Responsible AI: transparency, bias, and lifecycle regulation 19:56 – Predictability vs black-box AI in medicine 22:44 – Global innovation differences: Europe, India, Middle East, Africa 26:21 – Pilotitis: why pilots fail to scale 28:40 – Designing pilots for commercialization 30:26 – Capital flows, geopolitics, and reverse innovation 34:25 – The $1 teleconsultation model in India 37:56 – Digital health and equity: design vs digitization 42:43 – How regulators can keep up with AI 46:03 – Advice for Gen Z and Gen Alpha in digital health 48:50 – Grassroots realities shaping policy Watch the full discussion: https://youtu.be/bmvPzz3Ffp4 www.facesofdigitalhealth.com Newsletter: https://fodh.substack.com/

    52 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
  5. How is Ali Parsa Building Agentic AI in Healthcare with Quadrivia, based on  Experience From Babylon

    11/25/2025

    How is Ali Parsa Building Agentic AI in Healthcare with Quadrivia, based on Experience From Babylon

    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/

    55 min

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About

Faces of Digital Health is a podcast about digital health, exploring how different healthcare systems adopt technologies in healthcare. Its aim is to satisfy curiosity about different cultures, identify barriers to success in different countries and finding answers and advice for accelerating the success of digital health entrepreneurs.