1 innovation from Bar-Ilan University, available for licensing, co-investment, or spin-out through BIRAD.
Magnezi Racheli
We have developed a model designed to predict re hospitalization in premature infants on the day of their discharge from the neonatal intensive care unit (NICU). The model's objective is to identify preterm infants who are likely to be readmitted during their first year of life from NICU discharge. This early identification enables a reduction in the multiple hospitalization days associated with these infants, estimated at a total of $3.3 million annually for a single hospital. The model aims to reduce the economic burden and focus on preventive medicine in Israel. The uniqueness of this model lies in its ability to present approximately 20 new parameters that have not been previously shown in parallel models in the literature. The predictive capability of the developed model has an accuracy of 0.79.
