AI and Transformative Tech

At Columbia Business School’s annual Healthcare Conference, Dexcom President and CEO Jake Leach explains how breakthrough innovation is continuing to shape the future of diabetes management while expanding into a broader health technology platform.

Pearl Health was founded to empower independent physicians through data and value-based care. This vision has only accelerated with the advent of AI.

Research shows that up to half of dementias may be preventable by addressing modifiable risk factors. These programs are typically delivered in person, are resource-intensive, and reach only a small fraction of the people who could benefit. 

At its core, AVO leverages AI to process patient data directly from the Electronic Health Record (EHR), maps that data against clinical best practices, and produces "copilots" that automate clinician workflows. 

Despite leaps in medical technology, as many as 30 to 40 percent of surgical patients end up unsatisfied with their surgical outcomes due to lingering pain or mobility issues. AI-powered “digital twin” technology offers an opportunity to reduce the reliance on clinical heuristics—those experience-based shortcuts passed down through mentorship—for a more precise, bespoke approach to surgical care.

Today's AI systems are powered by vast models trained on data from across the internet. But this approach has stalled in the complex and critical field of healthcare, because while AI excels at retrieving facts, it falls short in handling the nuanced realities of clinical environments. 

In her new book, Massively Better Healthcare, Halle Tecco, founder of Rock Health and adjunct professor at Columbia Business School, outlines a practical roadmap for earning trust, using AI responsibly, and creating lasting change as a healthcare innovator.

Mental illness imposes recession-level costs on the economy. Columbia Business School professor Boaz Abramson explains how AI could potentially expand access to care.

Managing employees’ AI-related stress is the key to unlocking the technology’s potential.

Columbia Business School professor Dante Donati explains the guardrails needed to ensure AI improves outcomes rather than deepening inequality.