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美国死亡率数据编码与处理的自动化

Automation of mortality data coding and processing in the United States of America.

作者信息

Israel R A

机构信息

National Center for Health Statistics, Centers for Disease Control, Hyattsville, Maryland.

出版信息

World Health Stat Q. 1990;43(4):259-62.

PMID:2293494
Abstract

The development in the United States of America of an automated system for coding mortality data (Automated Classification of Medical Entities--ACME) was undertaken with two major objectives in mind: (i) to introduce consistent and rapid assignment of underlying cause-of-death coding with reduced needs for manpower training; and (ii) to allow better utilization of medical information on death certificates for multiple cause-of-death analyses. The ACME system meets both of these objectives; the National Center for Health Statistics (NCHS) produces all of its underlying cause-of-death statistics for the United States on the basis of this system, and multiple cause-of-death data are routinely available for additional epidemiological study beyond the traditional methods of vital statistics analyses. Enhancements of the automated system, primarily through the software known as MICAR, reduce even further the levels of training necessary for persons doing the basic data entry. MICAR additionally will ease transitions between ICD revisions by reducing the need for coder reorientation and by permitting rapid calculation of comparability ratios when new revisions are introduced.

摘要

美国开发了一种用于对死亡数据进行编码的自动化系统(医学实体自动分类系统——ACME),该系统有两个主要目标:(i)引入一致且快速的根本死因编码分配方式,减少人力培训需求;(ii)更好地利用死亡证明上的医学信息进行多死因分析。ACME系统实现了这两个目标;美国国家卫生统计中心(NCHS)基于该系统生成美国所有的根本死因统计数据,并且多死因数据可常规用于传统生命统计分析方法之外的其他流行病学研究。自动化系统的改进,主要通过名为MICAR的软件,进一步降低了进行基本数据录入人员所需的培训水平。MICAR还将通过减少编码员重新定向的需求以及在引入新修订版时允许快速计算可比性比率,来缓解国际疾病分类(ICD)修订版之间的过渡问题。

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