Coding survey: Productivity and accuracy benchmarks remain stable

January 28th, 2020

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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 summarizes findings from HCPro’s 2019 coding productivity survey and explains how organizations are benchmarking coder output and accuracy. It covers facility and professional fee coding, remote and outsourced staffing patterns, CDI relationships, documentation-related workflow issues, auditing practices, and early readiness considerations for ICD-11. The piece is useful for coding leaders, CDI professionals, HIM managers, and operational staff comparing internal performance trends with industry survey results.

Why This Topic Matters

It helps healthcare coding and HIM leaders understand current productivity and accuracy benchmark trends, common operational bottlenecks, and broader department structure patterns that can inform staffing, workflow, and training decisions.

Article Sections

  1. Demographics

    Summarizes respondent roles, facility settings, and organizational characteristics represented in the survey. Includes broad context about hospital type, bed size, and department structure.

  2. Productivity

    Describes how organizations measure coding productivity and compares broad patterns across facility and professional fee settings. Also notes survey changes in how productivity options were presented.

  3. Facility coding by hour

    Reviews survey responses about facility record types and relative coding throughput over time. The section compares major record categories and broad changes in the response ranges offered.

  4. Professional fee coding by hour

    Summarizes productivity results for professional fee record types and discusses how those patterns vary by setting. It also covers how some organizations handle coding workflow between facility and professional claims.

  5. Accuracy

    Focuses on how organizations measure coding accuracy and the general emphasis placed on audit-based benchmarking. It also notes the survey’s approach to capturing accuracy metrics.

  6. Workflows and other impacts on productivity

    Examines factors that help or hinder coding throughput, including documentation issues, query response patterns, case-mix considerations, and coders’ specialization. It also touches on the role of CDI relationships and work allocation.

  7. Department structure

    Covers remote coding, support tools, outsourcing, CDI staffing patterns, departmental alignment, and involvement in denials appeals. The section outlines how organizations organize coding work and support staff.

  8. Conclusion

    Wraps up the survey’s themes and looks ahead to broader professional readiness issues. It includes general discussion of future coding change preparation and industry outlook.

What You Will Learn

  • How the survey frames coding productivity and accuracy benchmarking
  • What broad facility and professional fee workflow patterns were reported
  • Which organizational factors were associated with better or worse productivity
  • How remote coding and outsourcing fit into department structure
  • What the article says about benchmarking readiness for future coding changes

Who Should Read This

  • Coding managers
  • HIM directors
  • CDI professionals
  • Inpatient and outpatient coders
  • Revenue cycle and compliance staff

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