The transition from fee-for-service to value-based care requires healthcare providers to proactively manage patient health risks across the care continuum. To achieve this transformation, providers need to make analytics a primary component of their IT strategy. A data lake pools data from multiple sources and applies analytical models to provide a new approach to information management, reporting, and predictive analytics to help create advanced analytic insights, deploy evidence-based care strategies, and improve patient engagement outcomes. This white paper explains
how healthcare organizations can build and develop their data analytics infrastructure, data science skills, and data governance processes necessary for a high-performing data lake. With unprecedented levels of patient data intelligence at their fingertips enabled by a data lake, caregivers can drive informed, data-driven decisions at the point-of-care