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GALEN Based Formal Representation of ICD10
Gergely Héja1, György Surján, Gergely Lukácsy
1Budapest University of Technology and Economics, Department of Measurement and Information Systems.
Studies in Health Technology and Informatics
|September 15, 2005
Summary
This study introduces a formal ICD-10 representation using GALEN CRM to aid clinical diagnosis coding. A prototype system successfully identified gastrointestinal oncology diseases in medical records.
Area of Science:
- Medical Informatics
- Ontology Engineering
- Clinical Terminology
Background:
- International Classification of Diseases, 10th Revision (ICD-10) is a standard diagnostic tool.
- Accurate coding of clinical diagnoses is crucial for healthcare data analysis and management.
- Existing coding tools may lack the formal structure needed for advanced applications.
Purpose of the Study:
- To develop a formal, computable representation of ICD-10 using the GALEN Common Reference Model (CRM).
- To create a prototype coding support tool for clinical diagnoses mapped to ICD-10.
- To evaluate the feasibility of the ontology-based approach for automated disease identification.
Main Methods:
- Formal modeling of ICD-10 (Chapters 1-2) based on GALEN CRM.
- Conversion of the ontology to Web Ontology Language (OWL).
- Implementation of a test system in Prolog for feasibility verification.
Main Results:
- Formal representation of the initial two chapters of ICD-10 is nearly complete.
- The OWL-converted ontology and Prolog system demonstrated feasibility.
- The system successfully identified diseases within gastrointestinal oncology medical records.
Conclusions:
- A formal, ontology-based representation of ICD-10 is achievable and supports automated disease identification.
- The GALEN CRM provides a robust foundation for building such medical ontologies.
- Further development of the classifier module is needed for broader application.