Pressure Points: Engineering AI for the future of healthcare | Harvard T.H. Chan School of Public Health

June 11, 2026 - 04:02

A new webinar series is tackling one of the most pressing questions in modern medicine: how to build artificial intelligence that actually works for patients and doctors. Titled "Pressure Points," the program is a collaboration between The Studio and the Advanced Learning Academy at the Harvard T.H. Chan School of Public Health. The series aims to move beyond the hype surrounding AI and focus on the real engineering challenges and ethical decisions that will define its role in healthcare.

Each session brings together engineers, clinicians, and public health experts to discuss where AI systems often fail and how to fix them. The name "Pressure Points" is deliberate. It refers to the critical junctures in a patient's journey where technology can either ease the burden on a strained system or introduce new risks. Organizers say the goal is not just to celebrate innovation but to stress-test it. They want to examine how algorithms handle bias, data privacy, and the unpredictable nature of human illness.

The series also explores the practical side of implementation. How do you train a model on incomplete medical records? What happens when a recommendation contradicts a doctor's instinct? By focusing on these friction points, the program hopes to guide the development of AI that is both powerful and trustworthy. For anyone watching the rapid shift toward digital health, this series offers a grounded look at what it will take to get the technology right.