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AUTOMATIC ICD-10 CODING USING PRESCRIBED DRUGS DATA.
Perspectives in Health Information Management
|December 3, 2021
Summary
This study introduces an automatic clinical coding system using only prescribed drugs to assign International Classification of Diseases, 10th Revision (ICD-10) codes. The system achieves accuracy comparable to entry-level coders, even with limited data.
Area of Science:
- Medical Informatics
- Health Informatics
- Clinical Documentation
Background:
- Automatic clinical coding is crucial for healthcare data management.
- Current systems face challenges in accuracy and data requirements.
- Accurate coding impacts billing, research, and patient care.
Purpose of the Study:
- To develop and evaluate an automatic clinical coding system.
- To assess coding accuracy based solely on prescribed medications.
- To compare system performance against entry-level human coders.
Main Methods:
- Developed an automatic coding system utilizing prescribed drug data.
- Assigned short-form ICD-10 codes (three-symbol categories).
- Evaluated system accuracy against established benchmarks.
Main Results:
- The automatic coding system achieved accuracy comparable to entry-level clinical coders.
- Performance was demonstrated even with limited input data (drug information only).
- Estimated accuracy may exceed initial performance metrics.
Conclusions:
- Automatic clinical coding based on prescribed drugs is feasible and effective.
- This approach offers a potential solution to coding challenges.
- Further research may reveal even higher accuracy potential.
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