Benchmarking Outcomes Without Misleading Comparisons: Risk Adjustment, Cohorts, and Fair Targets
Benchmarking is powerful, but it can quickly become misleading if providers compare “raw” outcomes across very different populations and service models. This article explains how U.S. community service providers can benchmark responsibly using cohorts, risk adjustment, and practical governance so comparisons drive improvement rather than bad incentives.
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