Joint NC BERD Seminar: From Prediction to Practice: What It Takes to Make an AI Model Matter in Clinical Care

Artificial intelligence (AI) models have shown promise in improving prediction and decision-making in healthcare, yet translating these tools into routine clinical practice remains challenging. This talk will share lessons learned from implementing AI-enabled interventions across real-world clinical workflows. Key barriers, including data integration with EHRs, clinician trust and adoption, and patient engagement, will be discussed alongside practical strategies to address them. The session will offer a real-world perspective on moving from model development to clinical impact.

Zoom webinar link: https://duke.zoom.us/j/94095407374?pwd=b0ZPiqr4Mb61VnVAp6xFsHVQjRKmvt.1

This event is being cross-promoted by the NC BERD Consortium, a collaboration of the CTSA-funded BERD cores at UNC-Chapel Hill, Wake Forest University School of Medicine, and Duke University School of Medicine.