The effectiveness of software algorithms in neonatal care is generally high, as they can process large amounts of data quickly and accurately. However, the accuracy of these algorithms depends on the quality of the data they are trained on and the robustness of the model. For example, a well-trained predictive algorithm can significantly reduce the incidence of neonatal sepsis by enabling early intervention.
