By unifying data across the healthcare enterprise, providers can perform patient data intelligence analytics to help improve care
coordination and management to help reduce costs. For this use case example, providers feed the data lake from multiple clinical
sources, including the EMR, laboratory, PACS, patient generated data, and reported outcomes. (Figure 2) Retrospective data is
combined with target-rich, high-value data that is accessible and available in real-time for advanced analytics. Analysts and data
science teams can then conduct specific queries of data to further improve treatment outcomes and care protocols