AI in Healthcare: What Actually Works?
Everyone claims ROI. Very few have credible proof at scale. This roundtable cuts through the vaporware to answer the question keeping healthcare leaders up at night: when does AI actually move the needle on quality, cost, or access?
Healthcare AI is drowning in inflated promises. Boards want measurable impact. VCs are demanding proof. And frontline teams need solutions that don't create new problems while solving old ones. This conversation brings together people who've been in the room when AI projects succeed – and when they spectacularly fail.
What We'll Dig Into
Metrics that matter. Beyond the press releases, what signals actually convince leadership and boards that AI investments are working?
The failure file. Where has AI failed to deliver measurable impact? What did those expensive lessons teach us?
The ROI battleground. Clinical outcomes vs. operational efficiency vs. financial returns – who wins the argument, and why does it matter?
The patience question. How long are leaders actually willing to wait for returns? What separates a worthwhile investment from throwing good money after bad?
The real use cases. From reducing administrative burden to leveraging large datasets for patient benefit, where is AI solving actual problems rather than creating new headaches?
Panelists:
Chethan Sarabu, Director of Clinical Innovation, Health Tech Hub, Cornell Tech
Kamal Menghrajani, Former Assistant Director for Cancer Innovation & Public Health, The White House
Erynn Petersen, CEO & Co-founder, Emme
Moderated by Paul Ford, Co-founder, Aboard