YSPH Biostatistics Seminar- Bayesian clinical decision support for HIV care: development, implementation, evaluation.

Note: BIS 526 students are required to attend in person. Others are invited to attend in person but may also attend via zoom.

Speaker Joseph W. Hogan, Sc.D.

Title

"Bayesian clinical decision support for HIV care: development, implementation, evaluation."

Abstract

Key milestones in HIV care are represented in a cascade framework that prioritizes case identification, linkage and retention in care, compliance with antiviral medication, and suppression of viral load. Many prediction models have been developed to target these endpoints. In this talk, we describe a comprehensive approach to development, implementation, and formal evaluation of a machine-learning-based approach to clinical decision support that is focused on retention in care. We highlight key early findings about effectiveness, and describe methodologic innovations motivated by the goals of the project. This work is based at AMPATH, a large HIV care program in western Kenya.