Archived Event

The Alliance Advancement Series
This session explores how the University of Alabama Medicine Comprehensive Transplant Institute and University of California San Diego Center for Transplantation utilized the Scientific Registry of Transplant Recipients (SRTR) data and modeling to enhance patient selection and management processes. Attendees will gain insights into how data analytics and predictive modeling can drive improvements in clinical outcomes, streamline workflows and support equitable patient care. Each program will share their approach to integrating SRTR data into decision-making, lessons learned along the way and key strategies that led to measurable success.
- Describe key components of the SRTR model and its application in transplant program decision-making.
- Utilize SRTR data to enhance patient selection, optimize resource allocation and improve clinical outcomes.
- Identify strategies for integrating predictive modeling into transplant management workflows effectively.
- Outline real-world examples and lessons learned to apply data-driven approaches in your own transplant program.
Members of the donation and transplantation community serving diverse populations to include administrators, coordinators, physicians, nurses, surgeons, managers, quality improvement specialists, social workers, and other donation and transplantation center professionals and their colleagues.
Continuing Education Credits
Continuing Education credits are no longer available for this learning opportunity.