Practical Research that Identifies and Illuminates
ACPE UAN: 0233-0000-19-021-L04-P | Contact Hours: 1.25 | Activity Type: Knowledge-based
It’s a well-established fact that a small percentage of patients contributes to the largest proportion of health care spending in the United States. These individuals are likely to be long-term medication utilizers, especially if they have common co-morbidities such as diabetes. Many managed care organizations are interested in identifying such high-risk, high-cost patients to implement targeted interventions that can improve their outcomes and decrease overall health-related spending.
One promising approach involves rapid-cycle analytics of real-world data. How can this be confidently used by payers? What high-risk populations would benefit from such targeted interventions? How is this done across multiple stakeholders? What drugs or drug classes impact drivers of high costs and may reduce overall costs? How can actionable analytics be completed in a rapid, scalable way across many indications?
This session will explore these questions and with case examples, demonstrate an approach of using rapid-cycle and real-world evidence to improve care, decrease costs and possibly assist in the development of value-based models.
At the completion of this activity, participants should be able to: