Reviewing recent changes in coder productivity

November 26th, 2019

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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 examines how coding productivity has changed with ICD-10-CM/PCS and summarizes audit and survey findings from multiple sources. It is aimed at coding professionals, managers, and compliance staff who want a high-level view of productivity measurement, documentation demands, workflow impacts, and how different record types and settings can affect coding time. The discussion also touches on broader operational issues such as coding specialization, dual coding, and the relationship between productivity and accuracy.

Why This Topic Matters

Understanding productivity trends helps organizations evaluate staffing, workflow, and training needs in ICD-10-CM/PCS environments. The article provides context for benchmarking performance and comparing coding work across settings without requiring readers to interpret the underlying studies themselves.

Article Sections

  1. ICD-10-CM/PCS audit findings

    Summarizes audit-based productivity observations and the general impact of documentation specificity on coding workflow. It also introduces the types of records and accuracy measures discussed in the article.

  2. Why the change in productivity?

    Explores broad reasons productivity can shift under ICD-10-CM/PCS, including code format, documentation demands, query workflow, and differences in record types and settings.

  3. Does code set matter?

    Compares coding approaches across settings and discusses how organizations may use different code sets, specialization patterns, and data set activities in various environments.

What You Will Learn

  • How ICD-10-CM/PCS has influenced coding productivity trends
  • What kinds of audits and surveys are referenced in productivity discussions
  • How record type, setting, and workflow can affect coding time
  • Why documentation and query processes matter in productivity measurement
  • How coding specialization and dual coding can fit into operational planning

Who Should Read This

  • Medical coders
  • Coding managers
  • Health information management professionals
  • Compliance staff
  • Revenue cycle leaders
  • Healthcare documentation teams

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