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Modelling and encoding Therapeutic Guidelines: applying ICD-10-AM and European Article Number codes
Bryn Lewis1, Ken Harvey, Jonathan Dartnell
1Department of Computer Science and Computer Engineering, La Trobe University, Victoria. blewis@tg.com.au
Summary
Coding clinical guidelines with ICD-10-AM and EAN codes revealed limitations. A single classification system cannot capture all clinical information, suggesting a need for combined coding approaches for comprehensive data representation.
Area of Science:
- Medical Informatics
- Clinical Coding Systems
- Drug Information Management
Background:
- Therapeutic Guidelines (TG) contain extensive clinical information.
- Accurate coding is essential for data interoperability and analysis.
- Existing coding systems may not fully capture nuanced clinical data.
Purpose of the Study:
- To assess the suitability of ICD-10-AM and EAN codes for Therapeutic Guidelines topics.
- To evaluate the completeness of clinical information captured by ICD-10-AM.
- To explore data model integration for drug information linkage.
Main Methods:
- Assignment of ICD-10-AM (International Classification of Diseases, 10th Revision, Australian Modification) and EAN (European Article Number) codes to 2500 TG topics.
- Analysis of ICD-10-AM code assignment for clinical information coverage.
- Integration of the TG data model with the MCCA (Multicenter Collaborative Cancer Architecture) prototype data model for drug products.
Main Results:
- ICD-10-AM coding demonstrated limitations in fully describing the clinical information within Therapeutic Guidelines.
- No single existing classification scheme is likely sufficient for complete clinical information representation.
- Integration of TG and MCCA data models provided an appropriate, though not ideal, method for linking clinical drug references to drug product information.
Conclusions:
- A combination of classification schemes is necessary for comprehensive clinical data coding.
- Current coding systems require enhancement or supplementation to capture complete clinical guideline information.
- Data model integration is a viable strategy for connecting clinical and drug product data.
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