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

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.

Speaker:
Juliessa Pavon, PhD
Associate Professor of Biostatistics and Bioinformatics
Associate Professor of Medicine
Senior Fellow in the Center of the Study of Aging and Human Development
Duke University School of Medicine

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.