Tonny Sanjaya

🩺 Community Question: Healthcare is a paradox: trillions spent and cutting-edge technology, why is humanity only getting sicker? Viewpoint A: The healthcare system is broken (reactive, wasteful, poorly coordinated). The system prioritizes treatment over prevention, carries massive administrative waste, and fails to use advanced technology efficiently. The result is high spending and weak outcomes. Viewpoint B: The real drivers lie outside healthcare (social factors, lifestyle, inequality). Healthcare accounts for only a small share of health outcomes. Poverty, obesity, unhealthy lifestyles, and inequality are the root causes. Increasing medical spending alone does not address the core problem. 👇 Drop A or B and share your perspective

🩺 Community Question Should preventive healthcare justify large-scale investment and widespread adoption? Viewpoint A: Preventive care involves significant upfront costs and carries risks of overdiagnosis and overtreatment, potentially increasing anxiety and spending without clear mortality gains. Viewpoint B: Prevention through screening and lifestyle interventions can reduce disease burden, hospitalizations, and long-term costs, while improving life expectancy and quality of life. Is prevention a cost-effective long-term strategy or an overextended approach with uncertain net benefit? 👇 Drop A, B, or share your perspective.

🩺 Community Question: Elon Musk recently said that, based on current human constraints, AI-powered robotics could become better surgeons than the best human surgeons within three years at scale. Do you agree with him? Viewpoint A: Agree. With few great surgeons, slow and costly human training, and unavoidable human error, AI and robotics could learn faster and scale surgical skill beyond human limits. Viewpoint B: Disagree. Even acknowledging the human constraints Elon Musk points out, surgery is not only about speed, scale, or error reduction. It also depends on judgment, responsibility, and trust in high-stakes situations, which remain difficult to validate and deploy safely at scale. Is this a near-term breakthrough or a vision that overestimates how quickly surgical autonomy can be safely scaled? 👇 Drop A, B, or share your perspective.

💊 Community Question: Can AI help discover and develop new medicines much faster and cheaper than traditional methods? Viewpoint A: Yes. AI can rapidly test millions of drug ideas, cut early research time and costs dramatically, and in some cases bring medicines to patients years faster. Viewpoint B: Not fully. AI helps at the start, but human trials are still slow, expensive, and unpredictable, keeping overall drug development costly and time-consuming. If AI is expected to change how medicines are made, is the impact already real or mostly promise? 👇 Drop A, B, or share your perspective.

🩺 Community Question Is personalized care realistic for low- and middle-income countries (LMICs), or is it still a model built mainly for high-income countries (HICs)? Viewpoint A: Gradually achievable in LMICs Personalized care can scale over time. Costs of genetic and digital tools are falling, AI-driven insights are becoming more accessible, and hybrid models already work in areas like oncology and chronic care. With the right partnerships and focus, personalization doesn’t have to remain a luxury. Viewpoint B: Not practical for most LMICs For many LMICs, personalized care remains unrealistic. High costs, limited infrastructure, workforce gaps, and unequal access make large-scale adoption difficult. Healthcare systems should prioritize proven, low-cost interventions like vaccination, screening, and basic prevention. Or is the future of healthcare built by combining both approaches? 👇 Drop A, B, or share your perspective. Tag someone who should weigh in on this.