Engraft: A Collaborative Learning Health Network for Enhanced Transplant and Cellular Therapy Outcomes

Abstract

The Engraft Learning Health Network (LHN) aims to improve outcomes for patients undergoing transplant and cellular therapy (TCT) through a collaborative, data-driven approach. Engraft brings together diverse stakeholders, including clinicians, patients, caregivers, and institutions, to standardize best practices and accelerate the dissemination of innovations in TCT care. By establishing a multicenter, real-world clinical registry focused on rapid-cycle quality improvement (QI) and implementation research, Engraft seeks to reduce variability in clinical practice to improve TCT outcomes across centers. Initial efforts have centered on developing QI toolkits, sharing de-identified patient data, and building consensus around best practices to reduce non-relapse mortality and improve survivorship. A distinctive feature of Engraft is its commitment to engaging patients and caregivers as equal partners in the network's direction. This manuscript outlines the network's design, early successes, and future goals.