Benchmark of the Week: Imaging utilization per enrollee by state, 2008

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Note:  The following article synopsis was NOT provided by HCPro. It was created by Find-A-Code/innoviHealth.

Article Overview

This article reviews state-by-state variation in Medicare imaging utilization using 2008 CMS claims and beneficiary enrollment data. It is aimed at readers who want a broad benchmark view of utilization patterns across regions and how common imaging activity is being compared at the enrollee level. The discussion references CMS data sources, geographic variation, and the set of imaging codes used to form the benchmark measure.

Why This Topic Matters

Understanding geographic variation in imaging utilization can help readers place local billing patterns in a broader national context and identify whether their state or region appears high or low relative to peers. It is relevant for coding, analytics, compliance, and reimbursement stakeholders who track utilization trends.

Article Sections

  1. Summary

    Introduces the state-level comparison of imaging utilization using CMS claims data and beneficiary enrollment information. It explains the benchmarking approach at a high level and identifies the general service categories being combined.

  2. Breakdown

    Discusses observed differences in imaging utilization across selected states and compares high- and low-volume examples. It places the findings in the context of Medicare beneficiary populations and geographic variation.

  3. Takeaways

    Reviews broad regional patterns in utilization and notes the article's comparison with population health indicators. It also points to an available state-by-state table for additional reference.

What You Will Learn

  • How Medicare imaging utilization was benchmarked by state.
  • What data sources were used to create the comparison.
  • Which broad geographic patterns were observed in the 2008 analysis.
  • How the article frames utilization differences across high- and low-volume states.

Who Should Read This

  • Medical coders
  • Coding auditors
  • Healthcare data analysts
  • Revenue cycle professionals
  • Compliance staff
  • Physician practice administrators

Codes Discussed


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