Impact of Technology on Neonatal Intensive Care Unit Admissions and Length of Stay: A Retrospective Study.

Background Neonatal intensive care units (NICU) provide essential medical care to neonates; however, they are associated with hospital-acquired infections, less maternal-newborn bonding, and high costs. Implementing strategies to lower NICU admission rates and shorten NICU length of stay (LOS) is essential. This study uses causal-inference methods to evaluate the impact of care managers using new technology to identify and risk stratify pregnancies on NICU admissions and NICU LOS.

Risk assessment of preterm birth through identification and stratification of pregnancies using a real-time scoring algorithm.

Introduction: Preterm birth poses a significant challenge. This study evaluated a real-time scoring algorithm to identify and stratify pregnancies to indicate preterm birth.

Methods: All claims data of pregnant women were reviewed between 1 January 2014 and 31 October 2018 in Kentucky.