Predictive Analytics and Medicare Claims: A Governance Case Study
Lessons from CMS and GAO reporting
The operational challenge
High-volume claims programs face the challenge of identifying suspicious patterns without treating every unusual provider as a wrongdoer.
What the public reporting illustrates
GAO has discussed CMS efforts to use historical claims and predictive analytics to identify higher-risk fee-for-service claims and providers. Such systems support prioritization and program-integrity review.
Transferable lessons
Define an actionable alert, verify the data, document investigator disposition, monitor model effectiveness, and communicate uncertainty to oversight bodies.
Publication note
A final externally published version should cite the specific GAO report, its publication date, and the precise CMS results being discussed; no numerical performance claim is made here.
Engagement perspective
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