Santo A H, Pinheiro C E
Universidade de São Paulo, Faculdade de Saúde Pública, Departamento de Epidemiologia, Brasil.
Bol Oficina Sanit Panam. 1995 Oct;119(4):319-27.
The article begins with a discussion of some mortality statistics issues, problems encountered in the manual selection of underlying cause of death, and also the increasing need for information on associated causes. These circumstances led the National Center for Health Statistics to develop the computerized ACME System, which has been in use in São Paulo State since 1983. The ACME System's requirement of a mainframe computer, as well as other operational limitations, has prevented its installation throughout the country. In order to standardize and improve the quality of mortality data in Brazil, the Informatics Department of the Ministry of Health's National Health Foundation and the World Health Organization (WHO) Collaborating Center for the Classification of Diseases in Portuguese developed the microcomputer-based Underlying Cause Selection System (SCB) in 1993. This is an expert system that employs artificial intelligence techniques to reproduce the reasoning of a coder in selecting the underlying cause of death, according to the rules and provisions of the Ninth Revision of the International Classification of Diseases. The SCB has a very user-friendly interface, occupies 2.6 megabytes of hard disk space, and can run on any 386 or higher XT or AT computer. In addition to selecting the underlying cause of death, the system stores data on associated conditions.
本文开篇讨论了一些死亡率统计问题、在人工选择根本死因时遇到的问题,以及对相关病因信息需求的不断增加。这些情况促使美国国家卫生统计中心开发了计算机化的ACME系统,该系统自1983年起在圣保罗州使用。ACME系统对大型计算机的要求以及其他操作限制,阻碍了其在全国范围内的安装。为了规范和提高巴西死亡率数据的质量,巴西卫生部国家卫生基金会信息部和世界卫生组织(WHO)葡萄牙语疾病分类合作中心于1993年开发了基于微型计算机的根本死因选择系统(SCB)。这是一个专家系统,它采用人工智能技术,根据《国际疾病分类》第九版的规则和规定,重现编码员在选择根本死因时的推理过程。SCB具有非常用户友好的界面,占用2.6兆字节的硬盘空间,并且可以在任何386或更高配置的XT或AT计算机上运行。除了选择根本死因外,该系统还存储相关病症的数据。