I want to treat billion people | Adil Haider | TEDxRMI

Quick Overview

Dr. Adil Haider's TEDx talk outlines his ambitious goal to use technology, specifically AI-powered tools like HAMI, to bridge the 'Know-Do Gap' in healthcare, aiming to treat one billion people by democratizing access to medical knowledge and improving care outcomes globally, especially in underserved areas.

Key Points: The speaker's central goal is to treat one billion people, which he believes is now possible through technology. He highlights the 'Know-Do Gap' where medical science advances rapidly (the know), but implementation lags (the do), causing people to wait for proven treatments. Dr. Haider drew inspiration from his childhood in a rural US Midwest location and his subsequent work in Karachi, Pakistan, contrasting accessible high-level care with areas lacking basic access. He emphasizes the critical link between health insurance and survival rates, citing a 2008 Newsweek article that uninsured patients are 50% more likely to die from traumatic injuries. He introduced HAMI (AI Powered Physician Assistant from BostonHealth.AI), an AI tool that listens to patient history, conducts triage, and prepares notes for doctors, thus reducing administrative burden. The development of clinical practice guidelines for conditions like COVID-19 and cardiac bypass, which involved collaboration between US institutions (like Harvard) and AKU in Pakistan, demonstrates successful knowledge creation and dissemination. The ultimate vision is 'People-Driven Medicine,' where technology illuminates the world, ensuring that the 90% of the world excluded from medical knowledge creation can benefit from it.

Context: Dr. Adil Haider, a surgeon and public health professional, delivers a TEDx talk titled 'I want to treat a billion people.' He reflects on his background, moving from growing up in rural Minnesota to working in Karachi, Pakistan, to illustrate stark disparities in healthcare access. His presentation centers on leveraging technology, particularly Artificial Intelligence (AI), to close the gap between medical knowledge acquisition and practical application, advocating for a future of 'People-Driven Medicine' accessible to all.