The PDF explores how healthcare leaders are advancing analytics to improve outcomes and manage costs as the industry shifts to value-based care. Most organizations remain in retrospective or diagnostic analytics, with only some adopting predictive approaches to anticipate risks like sepsis or readmissions. Case studies from Mercy Health and Nemours show how large datasets and social determinants of health are being analyzed to identify high-risk patients and guide interventions. Conduent’s initiatives demonstrate how predictive tools reduce costs, such as a diabetes program saving $500,000 for one employer group. While prescriptive analytics remains the long-term goal, leaders stress the need for real-time, meaningful data and see progress toward population-driven models.

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