Data analytics in healthcare involves the systematic analysis of health data to improve patient outcomes and operational efficiency. By examining large sets of data, healthcare providers can identify trends, predict disease outbreaks, and enhance treatment plans. This process often utilizes tools and techniques from statistics, machine learning, and big data. Healthcare organizations use data analytics to streamline processes, reduce costs, and improve patient care. For instance, electronic health records (EHRs) provide valuable insights into patient histories, enabling personalized treatment. Additionally, predictive analytics can help in resource allocation, ensuring that hospitals are prepared for patient surges during emergencies.