The University of Virginia was awarded a $138,009 Project Grant under the Research on Healthcare Costs, Quality and Outcomes program (CFDA 93.226), administered by the Agency for Healthcare Research and Quality (AHRQ). The grant aims to develop predictive models and a customized data visualization interface to improve pediatric donor heart utilization and reduce waitlist mortality for children awaiting heart transplants. The project will analyze over 30,000 historic pediatric heart offers from 2010-2020 using machine learning to create models that assess post-transplant survival and projected waitlist outcomes. The University will collaborate with the United Network for Organ Sharing (UNOS) to integrate these models into their simulation platform, providing clinicians with real-time data-driven decision support during the organ offer process. The research seeks to enable more confident acceptance of suitable donor hearts, thereby increasing utilization and reducing preventable pediatric deaths while on the waitlist. The grant has an award period of September 30, 2024 to September 29, 2026.
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