Healthcare data comes from various sources like electronic health records, personal health records, and health apps. Data analytics in healthcare represents automating the collection, processing, and analysis of complex healthcare data to provide insights and help practitioners make informed decisions. There are different types of analytics used in healthcare to address challenges like ever-changing medicine, mixed data sources, and emerging regulations. Examples include using analytics to speed up insurance claims submission by preparing them faster with fewer errors and predicting suicide attempts by classifying patients into risk groups.