Healthcare AI
Join the TraCS Data Science Lab as we talk about the experience of implementing healthcare AI. Healthcare AI is generating unprecedented investment and regulatory momentum — yet the vast majority of AI pilots never reach frontline care.
This seminar cuts through the hype to examine why, tracing the full clinical AI deployment pipeline from model development through post-deployment monitoring and the overlooked governance, workflow, and implementation challenges that derail efforts. Using real-world case studies — including the widely-deployed Epic Sepsis Model — we'll explore how dataset shift, alert fatigue, and clinician behavior consistently outweigh algorithmic performance as barriers to impact.
Whether you're a clinician, informaticist, or health system leader, this talk will reframe how you think about AI in medicine: the future won't be decided by better models, but by better implementation.
Speaker:
David Friedlander, MD, MPH
Assistant Professor, Department of Urology
TDSL Faculty Scholar, TraCS Data Science Lab
UNC School of Medicine
Seminars in the NC TraCS Data Science Lab Seminar Series cover a range of topics related to health care data science, clinical data, data engineering, and working in these areas at UNC-Chapel Hill. These hybrid seminars are usually held monthly on the third Tuesday of each month from 12:30-1:30 p.m. in the NC TraCS suite on the 2nd floor of Brinkhous-Bullitt or via Zoom.