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[The use of the microcomputer in selecting the basic cause of death]
1Universidade de São Paulo, Faculdade de Saúde Pública, Departamento de Epidemiologia, Brasil.
Boletin De La Oficina Sanitaria Panamericana. Pan American Sanitary Bureau
|October 1, 1995
Summary
The Underlying Cause Selection System (SCB) improves mortality data quality in Brazil by using artificial intelligence to select the underlying cause of death. This microcomputer-based system addresses limitations of previous mainframe systems.
Area of Science:
- Public Health
- Medical Informatics
- Artificial Intelligence
Context:
- Manual selection of underlying cause of death presents challenges.
- Existing computerized systems like ACME have limitations, including mainframe dependency.
- There is a growing need for comprehensive mortality data, including associated causes.
Purpose:
- To standardize and enhance the quality of mortality data across Brazil.
- To develop a microcomputer-based system for selecting the underlying cause of death.
- To overcome the operational limitations of previous mainframe systems.
Summary:
- The Underlying Cause Selection System (SCB) is an expert system developed in 1993.
- It utilizes artificial intelligence to replicate the logic of human coders for cause of death selection, adhering to ICD-9 guidelines.
- The SCB is user-friendly, requires minimal disk space, and runs on standard PCs, also storing data on associated conditions.
Impact:
- Facilitates improved accuracy and consistency in national mortality statistics.
- Enables wider adoption of computerized cause of death selection due to its microcomputer-based architecture.
- Supports better public health surveillance and policy-making through enhanced data quality.