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[基础临床文档记录中的可靠性与误差来源——经验的批判性报告]

[The reliability and sources of error in basic clinical documentation--a critical report of experiences].

作者信息

Schmidt-Ohlemann M, Heipertz W, Schaub W

机构信息

Rehabilitationseinrichtung für Körperbehinderte Bethesda-Diakonieanstalten, Bad Kreuznach.

出版信息

Z Orthop Ihre Grenzgeb. 1989 Jul-Aug;127(4):445-7. doi: 10.1055/s-2008-1044698.

Abstract

Since 1. 1. 1985, computer-aided basic medical documentation has been routine at the University Orthopedic Clinic in Friedrichsheim, near Frankfurt. In addition to data on patient's histories, all data needed to satisfy the criteria of the Federal Directive on Operating Cost Rates are gathered. The diagnoses are stored in clear text, in a modified Eichler code, and according to ICD 9. Conversion from the Eichler code to ICD 9 is almost fully automated. In a study covering 100 hospitalized cases the following findings were obtained relating to sources of error and reliability: Without any additional in-house plausibility checks, the rate of error in the ID code, created by coding family name, date of birth, and sex, was 7%. In clear text all diagnoses except one and all forms of therapy were correctly reproduced as contained in the medical report. On the other hand, 7% of the conversions into the Eichler code contained errors. The reason for the difference in the quality of data is pointed out. In some of the other surveys, e.g., of infection rates, the rates of error were very high; most errors had been caused by the ward physicians. Data quality is enhanced by exploitation of routine process data when these control administrative procedures or are used for communication between physicians, since they then become relevant to actions and decisions and hence have to be reliable, regardless of documentation purposes.

摘要

自1985年1月1日起,位于法兰克福附近弗里德里希斯海姆的大学骨科诊所就将计算机辅助基础医疗文档作为常规工作。除了患者病史数据外,还收集了满足联邦运营成本率指令标准所需的所有数据。诊断结果以清晰文本、修改后的艾希勒编码以及国际疾病分类第九版(ICD 9)的形式存储。从艾希勒编码到ICD 9的转换几乎完全自动化。在一项涵盖100例住院病例的研究中,获得了以下关于错误来源和可靠性的发现:在没有任何额外内部合理性检查的情况下,通过对姓氏、出生日期和性别进行编码生成的身份证号码错误率为7%。在清晰文本中,除一项外所有诊断结果以及医疗报告中包含的所有治疗形式均被正确重现。另一方面,转换为艾希勒编码时,7%存在错误。指出了数据质量差异的原因。在其他一些调查中,例如感染率调查,错误率非常高;大多数错误是由病房医生造成的。当常规过程数据用于控制行政程序或用于医生之间的沟通时,利用这些数据可以提高数据质量,因为此时它们与行动和决策相关,因此无论文档目的如何都必须可靠。

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