Skip to main navigation Skip to search Skip to main content

Covhisto: A Web Application for Cross-Version Visualization and Analysis of ICD-10-GM and OPS

Tessa Ohlsen*, Simon Müller, Josef Ingenerf

*Corresponding author for this work

Abstract

Introduction: The ongoing development of medical coding systems such as ICD-10-GM and OPS presents challenges in ensuring compatibility across versions. This paper introduces Covhisto, a web application for visualizing and analysing changes across multiple versions. Methods: Covhisto uses crosswalk tables published by the German Federal Institute for Drugs and Medical Devices (BfArM) and data processing pipeline to track changes between ICD-10-GM and OPS versions. Key features include methods for following individual code histories and analyzing structural changes in the coding systems. Results: Covhisto allows users to trace code evolution and identify changes not automatically captured. Unlike existing solutions, Covhisto creates a ConceptMap across all versions, offering a comprehensive view of changes over time. Conclusion: Finally, Covhisto complements existing solutions by making complex code changes more transparent and easier to understand, supporting healthcare professionals and researchers in their analyses and promoting interoperability of healthcare data.

Original languageEnglish
Title of host publicationVolume 331: German Medical Data Sciences 2025: GMDS Illuminates Health
Number of pages9
VolumeStudies in Health Technology and Informatics
Publication date03.09.2025
Pages177 - 185
Publication statusPublished - 03.09.2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Fingerprint

Dive into the research topics of 'Covhisto: A Web Application for Cross-Version Visualization and Analysis of ICD-10-GM and OPS'. Together they form a unique fingerprint.

Cite this