Understanding what health-related services or policies provide the greatest health benefits for the most cost-effectiveness is a widespread problem. We propose that a solution developed in the realm of clinical preventive services merits application beyond primary care. The 2016 ranking of clinical preventive services builds on a robust, peer-reviewed approach to understanding and comparing the relative health and cost impact of disparate clinical services. To develop these priorities, we modeled the potential impact of 27 recommended, evidence-based clinical preventive services for cost-effectiveness and clinically preventable burden across a cohort of the U.S. population. We use a variety of models, including microsimulation models in support of this approach, which allows for accurate comparison of the health benefit and cost-effectiveness across vastly different preventive services. We then ranked the services with a separate measure for each category, drawing on methods developed for previously published rankings in 2001 and 2006. This presentation will focus on the relevance of these rankings outside of a primary care clinic. We will review the concept behind making evidence-based comparisons across treatments, highlight the benefits of quantifying the differences in value among disease management services, new drugs and medical devices, and discuss applications well beyond the walls of primary care.