This course explores available public healthcare data sets and the data mining process. In addition, this course articulates the value of mapping relationships between data points and workflows. This process determines the level of integration of disparate data sources and is explored through the 4P (patient, provider, payer, population) perspectives. This framework is generated from the natural flow of healthcare delivery starting with the patient, moving to the provider, progressing on to the payer, and evolving into population health. Once the data sources are integrated, the focus becomes how to turn this data to into information, knowledge, and insight. This course wraps up by exploring both business and research options for interpreting data through visualizations and predictive analytics. Prerequisite: HC 4600.