This presentation provides skilled nursing leaders and clinicians with a framework for using data to drive ongoing operational stability and quality improvement. Participants learn how to interpret commonly available nursing home data—such as Five‑Star metrics, Quality Measures, survey trends, and internal operational indicators—and translate those insights into focused actions that improve outcomes, reduce risk, and support survey readiness.

Learner Objectives:

1. Explain how CMS, QAPI, and operational data sources (e.g., Five‑Star, MDS‑based QMs, survey trends) are used to identify performance gaps in skilled nursing facilities.
2. Apply data trends to prioritize performance improvement actions that address both operational risks and resident quality outcomes.
3. Evaluate whether implemented process changes have resulted in sustained improvement using ongoing data monitoring and follow‑up metrics.