Understanding E/M: Apply bell curve to spot undercoding

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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 discusses the use of E/M utilization pattern analysis, often called a bell curve, to compare a physician’s coding distribution with peer or national data. It is aimed at coding professionals, practice managers, and clinicians who want to review utilization trends, identify possible undercoding, and understand the general role of documentation review and E/M guideline alignment in compliance and revenue integrity.

Why This Topic Matters

Consistent undercoding can affect compliance reviews, distort coding patterns, and lead to lost revenue. Understanding how utilization comparisons are used helps practices recognize when further documentation review or education may be needed.

Article Sections

  1. Undercoding concerns and audit context

    Introduces the risk of consistently billing lower levels of E/M services and places the topic in the context of audit scrutiny and compliance concerns.

  2. Using utilization data to compare coding patterns

    Describes the general approach to comparing a physician’s E/M distribution with peers or national data and notes sources that may provide benchmark information.

  3. Calculating code distribution percentages

    Explains the broad method for tallying annual service counts within an E/M code set and converting those totals into percentages for comparison.

  4. Example comparison table

    Presents a sample comparison of one physician’s office visit pattern against national data within an established patient E/M service category.

  5. Reviewing possible undercoding and education steps

    Discusses the need to review documentation, consult with the provider, and use guideline-based education when utilization patterns suggest possible undercoding.

  6. Using the bell curve as a screening tool

    Clarifies that utilization comparisons are intended to flag patterns for further review rather than to replace documentation-based coding decisions.

What You Will Learn

  • How E/M utilization comparisons can highlight coding patterns worth reviewing
  • How peer or national benchmark data may be used in broad compliance analysis
  • How to approach documentation review when coding patterns appear atypical
  • Why E/M guideline familiarity remains important in utilization review
  • How to think about bell curve analysis as a screening tool rather than a replacement for documentation

Who Should Read This

  • Medical coders
  • Coding auditors
  • Practice managers
  • Physicians
  • Compliance staff

Codes Discussed


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