The Future of AI in Healthcare with Hugh Barrigan, Chris Page, and Askash Saraiya
In this eye-opening episode, I sit down with Hugh Barragan, a technologist and CTO based out of Boston, Dr. Chris Page, an anesthesiologist and pain medicine physician, and Dr. Akash Soraya, an emergency medicine physician and angel investor, to tackle one of the most pressing questions in medicine today: has technology made healthcare better or worse? We dive deep into the promise and peril of AI, examining whether electronic medical records have been a net positive despite their frustrations, and what the future holds when AI can diagnose faster and more accurately than any physician. The conversation gets real as we discuss whether AI will replace doctors, who takes accountability when algorithms make mistakes, and whether patients will even care if they are talking to a human or a machine. Key Highlights 🏥 Technology's Mixed Impact: While EMRs have made information more accessible and eliminated handwriting issues, they have also created overwhelming data overload and shifted optimization toward billing rather than patient care. 💰 The Cost Paradox: Healthcare costs have skyrocketed since the introduction of EMRs, yet life expectancy has remained flat at roughly 80 years for 15 years - suggesting technology has not fundamentally improved population health outcomes. 🤖 AI Will Replace Physicians: Dr. Akash boldly predicts that AI will eventually outperform emergency physicians at diagnosis and hopes it happens soon, while acknowledging the massive workforce displacement this would cause across 15-20% of the U.S. economy. ⚖️ The Accountability Problem: Hugh emphasizes that computers cannot be held accountable for decisions, creating a fundamental challenge as AI becomes capable of autonomous clinical decision-making - someone must remain responsible when things go wrong. 🩺 Trust and Human Connection: Dr. Chris argues that patients will continue wanting human care for a long time, as the rapport and comfort provided by a real physician cannot easily be replicated - though AI may eventually convince people otherwise. 📊 The Revenue Cycle Machine: Only 20% of healthcare costs are actual human labor - the rest is driven by increasingly sophisticated billing optimization, which AI will likely accelerate rather than reduce, making healthcare even more expensive. 🛡️ Malpractice Insurance for AI: The panel predicts that by 2028-2029, insurance companies will begin underwriting malpractice coverage for fully autonomous AI clinicians, though the actuarial curves and liability frameworks remain completely undefined. 🥊 The Coming AI War: Hugh predicts a shadow AI war in healthcare where patient AIs fight billing AIs, insurer AIs battle provider AIs, and costs spiral as a
