In this episode, Aditya Bansod, CTO and Co-Founder of Luma Health, about why healthcare AI often underdelivers — and what leaders must do to turn promise into performance.
Aditya argues that AI’s challenge in healthcare isn’t ambition, but execution. While new tools are emerging rapidly, most remain point solutions that fail to integrate into the complex workflows that move patients from scheduling to care delivery. True impact, he says, depends on orchestrating the “last mile” of healthcare, referrals, intake, documentation, and the countless operational handoffs that determine whether care actually happens.
He shares how Luma approaches AI adoption with flexible guardrails, allowing health systems to calibrate automation based on confidence thresholds and maturity. The conversation also explores the rise of agentic AI, the tension between human-in-the-loop oversight and autonomy, and why CIOs are navigating a messy but necessary consolidation phase.
Looking ahead, Aditya is optimistic that AI will transform patient access and engagement, only if it’s deeply embedded into workflows, not layered on top of them. Take a listen.
Neal Singh, CEO of Caradigm, discusses data, analytics, and population health management
In this podcast, Anish Sebastian, Co-Founder and CEO of Babyscripts, shares how they are reinventing the standard of prenatal and postpartum care by enabling...
In this episode, Adam Landman, MD, Chief Information Officer of Mass General Brigham (MGB), formerly Partners Healthcare, talks about the four distinct user groups...
