How AI Can Transform Decision-Making in Healthcare | Ana-Maria Constantin | TEDxBoston

Video Description

NOTE FROM TED: We've flagged this talk because it falls outside the content guidelines TED gives TEDx organizers. TEDx events are independently organized by volunteers. The guidelines we give TEDx organizers are described in more detail here: http://storage.ted.com/tedx/manuals/tedx_content_guidelines.pdf As healthcare costs have continued to rise in the US, the system has also grown more complex and increasingly opaque. Drawing on my experience in machine learning engineering, I introduce Cascade Health's Conversational AI Healthcare Assistant, a groundbreaking solution that empowers individuals to ask questions about medical prices, quality, coverage, and location. My talk explores recent government regulations that mandate hospitals and insurance companies to disclose their prices, offering hope for healthcare transparency. By leveraging large language models along with public and private healthcare data, we deliver data-driven answers in plain English to optimize decision-making in real-time and personalize the experience for anyone seeking or giving care. AI, Data, Health, Machine Learning, Medicine, Society, Start-up, Technology Ana-Maria Constantin is the CEO and Co-founder of Cascade Health, an intelligent platform for healthcare transparency. With a strong background as a Senior Software Engineer at Microsoft, she brings extensive expertise in building large-scale cloud systems that leverage machine learning for intelligent, data-driven decision-making, optimizing processes, and driving efficiency. Ana-Maria's passion lies in creating mission-driven technologies that have a profound impact on human lives. She firmly believes in the potential of AI to transform the healthcare industry, optimize healthcare costs, and truly bring transparency to every day healthcare decision making. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx