Panel
Advancing the Frontier: Innovations in Health
Panel Composition and Introductions
- Jeremy Lim (Moderator): Partner at Oliver Wyman's healthcare practice in Singapore.
- Acknowledged the panel's gender imbalance (five men) and encouraged female audience participation.
- Boon Chia Goh: Professor and medical oncologist at the National University of Singapore.
- Directs the investigational medicine unit and leads clinical trial teams developing oncology drugs.
- Russell Gruen: Professor of Surgery at Lee Kong Chian School of Medicine and Executive Director of NTU's Institute for Health Technologies.
- Focuses on trauma surgery, global surgical access, and integrating engineering with clinical care.
- Kabir Narang: Partner at B Capital, Singapore.
- 15 years in consulting (BCG, Warburg Pincus, Fidelity) focusing on Series B/C investments in healthcare, finance, consumer, and transportation.
- Prashant Tandon: Founder of 1MG, India's largest digital health app.
- Platform boasts 25 million monthly visits for e-pharmacy, e-diagnostics, and telemedicine; previously founded HealthCart and worked at McKinsey.
The Core Challenge: Cost, Quality, and Access in Asia
- Surgical Access Crisis:
- An estimated 5 billion people (two-thirds of the global population) lack access to safe surgery and anesthesia.
- Road traffic fatalities cause more global deaths than malaria, HIV, and tuberculosis combined.
- Infrastructure Deficit: Facilities often lack basic safety; e.g., 350 frontline hospitals in Myanmar are in similar dilapidated conditions with mold and exposed wiring.
- Solution Proposal: Russell Gruen advocates for "plug-and-play" prefabricated operating theatres that can be deployed globally in one week at a fraction of the cost of rebuilding.
- Cancer Care Affordability:
- Asia lacks the insurance models prevalent in the West, forcing 60-90% of patients to pay out-of-pocket.
- Cost Escalation: Average monthly cancer drug costs rose from ~$3,325 in 2001 to ~$13,250 in 2014, outpacing salary growth.
- Pricing Barriers: Therapies priced at $475,000 (e.g., Novartis) are unattainable for the growing middle class in Asia.
- Proposed Mitigation: Boon Chia Goh's team is investigating drug metabolism inhibitors to reduce required dosages and lower monthly costs from ~$10,000 to ~$3,000.
The Role of Technology and Innovation
- Efficiency Over Infrastructure: Kabir Narang argues that adding physical resources (doctors, beds) is insufficient due to existing deficits; technology is the only lever for systemic efficiency.
- Triage: Investments like "Bright MD" help manage 250 million annual US primary care visits by triaging urgency, reducing unnecessary specialist visits.
- Digital Leapfrogging:
- Prashant Tandon posits that Asia will "leapfrog" legacy systems via digital highways, noting that 40% of Filipinos may never see a doctor physically.
- AI Applications:
- Retinal Imaging: Google's AI matches ophthalmologists in detecting diabetic eye disease, allowing non-experts to screen 80% of normal cases instantly, boosting productivity fivefold.
- Radiology: AI is expected to handle 80-90% of triaging, allowing doctors to focus on the remaining 10% of complex cases.
- Behavioral Tech:
- Insurers like AIA use data and micropayments (e.g., step-count incentives) to drive preventative behavior.
- Incentive models where patients pay for weight loss programs but get refunds upon success are being explored to align financial interests.
Regulatory and Market Dynamics
- Regulatory Friction:
- Healthcare regulation prioritizes "perfection," often stalling "good enough" innovations needed for mass access.
- Shift: Regulators in India are becoming proactive due to a "point of desperation," recognizing legacy models are failing.
- Government Role: Governments must establish interoperability protocols, data privacy frameworks, and "sandbox" environments to accelerate innovation approval.
- The "Doctor Cartel" and Transparency:
- Prashant Tandon reports that a transparency app in India revealing price variances for generic drugs triggered a shift.
- Outcome: Over 40% of patients asked doctors to switch to cheaper brands; the majority of doctors agreed, demonstrating that consumer awareness can break traditional pricing moats.
- Investment Barriers:
- Kabir Narang notes that "low-cost hospitals" in rural areas fail due to a lack of willing medical professionals, not just capital.
- Doctors prefer urban recognition over rural deployment, necessitating technology-enabled telemedicine to bridge the gap.
Future Trends and Specific Technologies
- Genomics and Cancer Prevention:
- Only 5-10% of cancers are linked to known germline genetic mutations; the remaining 90% are largely attributed to "bad luck" (random mutations).
- Strategy: Focus shifts from germline screening to early detection to prevent genomic instability during treatment.
- Surgical Robotics:
- Russell Gruen states robots are currently unsuitable for complex surgery due to the need for nuanced, individualized decision-making.
- Timeline: Fully autonomous robots are 10+ years away; remote surgery (human-in-the-loop) is a more immediate, realistic application.
- Ecosystem: Drones for blood delivery (e.g., Rwanda) show success, but the surgical environment itself remains a high barrier.
- Prevention vs. Treatment:
- The panel consensus rejects an either/or choice between education/prevention and high-cost specialty care; a mix is required.
- Education Gap: Primary prevention (e.g., diet, smoking) faces cultural and political hurdles similar to historical tobacco issues, requiring significant public will.
- Demographics:
- Asia has a unique dual challenge: a young population requiring education and a rapidly aging demographic requiring chronic disease management.
Audience Questions and Insights
- Primary Prevention:
- Victoria, Australia, reduced road fatalities from 1,034 (1969) to 250 (present) through systematic legislation and trauma care integration, proving prevention works best when paired with care infrastructure.
- Cost Reduction:
- Pharma companies are exploring business models where adherence to treatment (e.g., diabetes management) extends the asset's lifecycle, monetizing long-term health rather than transactional drug sales.
- Data and Interoperability:
- India's lack of legacy infrastructure is an advantage for building unified digital health platforms, whereas the US faces siloed data challenges.