Description: Health care is a complex market with a wide variety of stakeholders. These stakeholders have diverse business needs, requiring complicated data-driven decisions. The analytics and research supporting these decisions are often dependent on the availability of real-world data (RWD), which includes a wide variety of data capture technology and data reflecting treatment, clinical outcomes, and costs of health care in real treatment settings (e.g.,, outside of controlled clinical trials). The goal of this panel discussion is to explore how existing and emerging sources of RWD can enhance benefit design, improve risk assessment, influence treatment decisions, and advance the measurement of clinical, humanistic, and financial outcomes. The diverse speaker panel includes actuarial and non-actuarial perspectives, representing the pharmaceutical industry, a health-care services business, and academia. The panel will describe the decision-making that drives their individual needs to use RWD, identify current and developing RWD sources, provide examples of analyses using RWD, and discuss how emerging RWD may influence actuarial analytics and potentiate the development of new interdisciplinary methods and value drivers.