...
首页> 外文期刊>American journal of medical quality: the official journal of the American College of Medical Quality >The Human Factors Analysis Classification System (HFACS) Applied to Health Care
【24h】

The Human Factors Analysis Classification System (HFACS) Applied to Health Care

机译:人为因素分析分类系统(HFACS)在医疗保健中的应用

获取原文
获取原文并翻译 | 示例
           

摘要

In spite of efforts to improve patient safety since the 1999 report, To Error Is Human, recent studies have shown limited progress toward preventing serious error. Most hospitals use root cause analysis as a method of serious event investigation. The authors postulate that this method suffers from 4 problems: (a) the use of root cause analysis is neither standardized nor reliable between organizations, (b) hospitals focus on "who" did "what" rather than on "why" the error occurred, (c) the identified causes are often too nonspecific to develop actionable correction plans, and (d) a standardized nomenclature does not exist to allow analysis of recurring errors across the organization. This article describes the modification of the Human Factors Analysis Classification System based on James Reason's theory of error causation for use in health care. This method resolves the 4 deficiencies noted above. The authors' experience investigating 105 serious events over 2 years is described.
机译:尽管自1999年的报告《致人为错误》以来一直在努力提高患者安全性,但最近的研究表明,在预防严重错误方面进展有限。大多数医院使用根本原因分析作为严重事件调查的方法。作者推测该方法存在四个问题:(a)根本原因分析在组织之间的使用既不规范也不可靠,(b)医院侧重于“谁”做了“什么”而不是“为什么”发生了错误,(c)识别出的原因通常过于具体,以至于无法制定可行的纠正计划,并且(d)不存在标准化的命名法,无法分析整个组织中的重复性错误。本文介绍了基于James Reason的错误因果关系理论的人为因素分析分类系统在医疗保健中的改进。此方法解决了上面提到的4个缺陷。描述了作者调查两年内发生的105起严重事件的经验。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号