The Data Problem That Healthcare Can't Ignore
What you'll discover
There's no data set in the world that's a perfect data set. There's no such thing as a fully representative data set. It doesn't exist.
Saira Haque, PhD
What happens when the data behind AI doesn't actually reflect the patients it's meant to help? And if precision medicine is the goal, what’s truly standing between us and getting there?
These are not rhetorical questions. They sit at the center of this week's conversation with Dr. Saira Haque, Senior Director of Clinical Informatics at Pfizer Medical Affairs. Together with the hosts, they examine why AI's promise in healthcare keeps encountering the same recurring limitation: fragmented, unrepresentative data that was never built to reflect the full diversity of patients it is meant to serve.
She argues that getting the data right is where the work begins. But data alone isn't enough. The human-in-the-loop is a non-negotiable. AI doesn't replace clinical judgment; it sharpens it.
Connect with the guest
- Saira HaiqueLinkedIn
Medical disclaimer. This podcast is for general informational purposes and is not medical advice. Listening does not create a doctor and patient relationship. Views expressed by the guests and co-hosts are their own and do not represent their employers. No specific vendor or product is endorsed. No PHI is shared.