A cutting-edge hours-based scheduling system tailored for neonatal intensive care units (NICUs) has been developed to improve patient outcomes and provider wellbeing. Departing from traditional extended shifts, this model aligns staffing with circadian rhythms and neonatal care intensity, optimizing periods of peak alertness. Utilizing detailed time-motion analyses and computational algorithms, the strategy redistributes workload into optimized temporal blocks to minimize fatigue-induced errors and enhance care quality. This approach leverages human factors science to establish more sustainable and responsive clinical work patterns in neonatal care environments.