Big data analytics can enhance the accuracy of diagnoses by integrating and analyzing data from multiple sources. This includes EHRs, genetic data, and even social and environmental factors. Machine learning algorithms can then be used to identify patterns and correlations that may indicate the presence of a neonatal disorder. This can lead to faster and more accurate diagnoses, ultimately improving patient outcomes.
