Health data analytics involves the systematic analysis of various types of health data to derive insights, patterns, and knowledge that can inform healthcare decision-making. It encompasses the use of statistical, mathematical, and computational methods to process and interpret large volumes of health-related information. The goal is to uncover trends, correlations, and predictive models that can be valuable for improving patient outcomes, enhancing healthcare delivery, and supporting research.

Health data analytics leverages diverse data sources, including electronic health records (EHRs), medical imaging, genomic data, wearable device data, and more. The insights gained from analytics can help healthcare providers make better-informed decisions and optimize resource allocation, identify patterns in disease occurrence, and ultimately improve the quality and efficiency of healthcare services.