Eligible for: ACMPE: 1 | ACHE: 1 | CEU: 1 | CME(AAPC*): 1 | CPE: 1.2 | PDC: 1 Traditional | Intermediate | Application * This session is included in the 2025 MGMA Summit education program.
Predictive analytics can be a game-changer in healthcare, with models to improve patient access, enhance the patient experience and drive bottom line revenue. This session is designed to provide healthcare leaders with an understanding of predictive modeling's pivotal role, focusing on three key areas: effectively managing appointment slots in light of no-show rates, benchmarking session utilization to reveal operational efficiencies, and aligning physician schedules with patient cycle times to enhance overall patient flow and satisfaction. The speakers will introduce techniques for quantifying potential performance improvements and offer a tangible roadmap for leaders to translate insights into actionable strategies and make data-driven decisions for enhanced efficiency and revenue growth.
Learning Objectives:
Employ techniques to quantify and mitigate the impact of no-shows, optimizing appointment scheduling and safeguarding revenue
Discover how aligning physician schedules with patient cycle times can lead to more efficient patient flow and elevated satisfaction levels for patients and staff
Use predictive modeling to benchmark performance and identify key areas for operational enhancement
