The Children's Hospital Corporation (doing business as Boston Children's Hospital) received a $153,050 project grant under the Research on Healthcare Costs, Quality and Outcomes (CFDA 93.226) program administered by the Agency for Healthcare Research and Quality (AHRQ). The grant's overarching goal is to reduce the risk of renal injury from febrile urinary tract infections (FUTI) in children by implementing a machine learning-based clinical decision support algorithm to identify high-risk patients for early intervention. The project aims to: 1) assess determinants for successful implementation of the ML algorithm, 2) optimize and validate the ML models using data from the hospital's pediatric practice network, and 3) pilot the predictive FUTI algorithm's implementation, testing, and adaptation using implementation and behavioral science principles. This work is intended to catalyze a similar approach to optimal clinical decision support for other pediatric conditions beyond FUTI.
Generated 1/28/25, 10:06 AM