Related Experiment Videos
German adaptations of ICD-10
1Zentralinstitut für die kassenärztliche Versorgung in der Bundesrepublik Deutschland, Central Research Institute of Ambulatory Health Care in Germany, Köln, Germany.
Studies in Health Technology and Informatics
|March 21, 2000
Summary
The International Classification of Diseases, Tenth Revision (ICD-10) adoption is slow, with ICD-9 still used in German hospitals. Development of aids like ICD-10-SGBV and ICD-10-Diagnosenthesaurus improves diagnosis encoding.
Area of Science:
- Health Informatics
- Medical Coding Systems
- Public Health Statistics
Background:
- The International Classification of Diseases, Tenth Revision (ICD-10) implementation faces challenges, particularly in Germany.
- While some regions use ICD-10 for mortality statistics, its use for morbidity data remains limited.
- The International Classification of Diseases, Ninth Revision (ICD-9) persists in German hospitals, indicating a slow transition.
Purpose of the Study:
- To evaluate the slow adoption of ICD-10 in Germany.
- To highlight the development and utility of supplementary tools for ICD-10 encoding.
- To report on the initial success of newly developed ICD-10 encoding aids and future directions.
Main Methods:
- Review of ICD-10 implementation status across different healthcare sectors in Germany.
- Development and assessment of specialized ICD-10 versions (ICD-10-SGBV, ICD-10-Diagnosenthesaurus).
- Creation and harmonization of an ICD-9 to ICD-10 conversion table with WHO's Translator.
Main Results:
- ICD-10 adoption for mortality statistics is present but limited for morbidity.
- Specialized tools like ICD-10-SGBV and ICD-10-Diagnosenthesaurus have been developed and show satisfying results.
- A harmonized ICD-9/-10 conversion table has been established, enhancing usability.
Conclusions:
- The transition to ICD-10 in Germany is gradual, necessitating supportive tools.
- Developed aids, including specialized versions and conversion tables, have proven effective in improving diagnosis encoding.
- Future efforts will focus on developing automated methods for encoding free-text diagnoses.