Data mining in healthcare refers to the process of extracting valuable insights and patterns from large volumes of healthcare data. This data could include electronic health records (EHRs), medical imaging, patient demographics, treatment history, and more. Data mining techniques such as clustering, classification, regression, and association rule mining are applied to identify trends, correlations, and anomalies within the data. These insights can then be used to improve patient care, optimize treatment plans, predict disease outbreaks, detect fraud and abuse, and enhance overall healthcare outcomes.