ABSTRACT
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.