The AI Assistant Doctors Say Is A ‘Game Changer’

Medical Knowledge & Physician Burnout - Medical knowledge is doubling at an accelerating rate, estimated at every 73 days, making it impossible for physicians to keep up with the top third of peer-reviewed literature within their specialty, requiring approximately 9 hours of reading per day [1][2][3] - Physician burnout is a significant issue, with almost half of U S physicians experiencing at least one symptom of burnout, exacerbated by the explosion of medical research [1] - The "golden age of biotechnology" is contributing to a "dark age" for physicians in terms of burnout, despite advancements in drug discovery and development [6][7] Open Evidence: AI Solution & Impact - Open Evidence is an AI model designed to act as a "brain extender" for physicians, helping them manage the overwhelming amount of medical literature by understanding the semantic meaning of research findings [3] - Open Evidence has signed up around 50% of all doctors in America and is adding 65,000 every month [4] - Open Evidence is valued at $3.5 billion [4] - Open Evidence does not diagnose; physicians are still relied upon for all traditional physician responsibilities [4][5] Business Model & Technology - Open Evidence licenses medical literature from trusted sources like the Massachusetts Medical Society (New England Journal of Medicine) and the American Medical Association (JAMA), avoiding copyright issues [10][11][12] - Open Evidence's business model is similar to Google's, relying on advertising to align incentives between the platform and users, focusing on attracting more users and increasing engagement [12][13][14] - The future vision involves AI serving as connective tissue between physicians, connecting those with atypical cases to experts, rather than just answering questions [17][18][19] Integration & Future Potential - Integrating AI tools like Open Evidence into the workflow is crucial for realizing their full potential in healthcare, including marrying genetic information, medical images, and electronic health records for personalized care [14][15][16] - Cybersecurity remains a key consideration for AI tools in healthcare to protect patient health information [9]