What is Health Data Analytics?

Health Data Analytics is the practice of collecting, analyzing, and interpreting health data to improve patient outcomes, maximize operations, and support medical research. It applies statistical methods, machine learning, and big data technologies to determine trends, predict diseases, and support decision-making.

Key applications include predictive analytics for early detection of disease, population health management, hospital resource management, and personalized medicine. Integration with data from electronic health records (EHRs), wearable sensors, and genomics, can deliver more precise and proactive healthcare.

With advances in computing and artificial intelligence, the analytics of health data is driving advancements in real-time monitoring, treatment effectiveness, and public health interventions, which makes healthcare more efficient and data-driven.