CON101: Applying Data, Analytics and Technology to Improve Value-Based Care Outcomes

Eligible for: ACMPE: 1|ACHE: 1|CEU: 1|CME(AAPC*): 1|CPE: 1.2|PDC: 1|PDU: 1
*MGMA is now offering our full conference for AAPC credit via our partnership with ACCME. Please see the event Continuing Education page for more information.
Traditional |Intermediate | Application

*Session will be included in the MGMA Summit: View Summit!

Healthcare spending is not translating to improved patient outcomes and longer life expectancy. In 2020, the United States spent 19% of its GDP on healthcare, significantly more than any other country. Despite that investment, the United States ranks last in a measure of healthcare access and quality; moreover, healthcare costs are projected to grow even further. Patients demand and deserve value for their healthcare dollars. Value-based care was designed to help improve healthcare quality and outcomes while keeping costs at bay and decreasing total medical spend. Succeeding in value-based care requires leveraging data, analytics and technology to optimize limited resources and target the right patients with the right interventions at the right time. Achieving success in value-based care requires five key components: data, technology, governance, practice transformation and clinical initiatives, and technology. To successfully transition from fee-for-service models to value-based models, providers must apply data and analytics to identify patients who require more interventions and clinical initiatives that will most benefit their patient population. This, along with adoption of team-based care and technology, will enable providers to make the most of their existing staffing resources while expanding buy-in, increasing satisfaction, and decreasing burnout among staff.