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[Exploratory development of automated coding software on the underlying causes of death]
Yi-bing Ji1, Li-jun Wang, Mai-geng Zhou
1Chinese Center for Disease Control and Prevention, Beijing, China.
Summary
This study developed automated coding software for underlying causes of death, improving accuracy in death surveillance systems. The software achieved an 85% correction rate, comparable to international standards.
Area of Science:
- Public Health
- Medical Informatics
- Biostatistics
Context:
- Accurate identification of underlying causes of death is crucial for public health surveillance.
- Existing manual coding processes can be time-consuming and prone to errors.
- The National Registration Information System on deaths provides a valuable data source.
Purpose:
- To develop automated coding software for underlying causes of death.
- To enhance the quality and efficiency of death data coding.
- To leverage the National Registration Information System for improved surveillance.
Summary:
- Automated coding software for underlying causes of death was developed using ICD-10 rules and international design principles.
- The software integrates with the National Registration Information System on deaths.
- The developed software demonstrated a coding correction rate close to 85%.
Impact:
- Improved accuracy and efficiency in coding underlying causes of death.
- Potential to enhance the reliability of national death surveillance data.
- Provides a foundation for more robust public health insights and interventions.
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