Data analytics is at the core of utilizing computational power in neonatal care. Large datasets from electronic health records (EHRs), genomic studies, and clinical trials can be analyzed to uncover patterns and correlations that might not be evident otherwise. For example, data analytics can help identify risk factors for preterm birth or complications arising from neonatal jaundice. This information can then be used to develop preventive strategies and improve clinical outcomes.
