Reducing Errors in the Practices of Pathology and Laboratory MedicineAn Industrial Approach

D. Novis, George Konstantakos
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引用次数: 4

Abstract

The use of quality benchmarking and performance tracking techniques has been successful in reducing errors in the practices of pathology and laboratory medicine. However, techniques developed in the manufacturing industry, specifically those pioneered by Toyota Motor have been more efficient and effective in reducing errors than those developed in the health care industry. We discuss some of those techniques and draw analogies as to how they might be applied in the laboratory. Traditional Approach to Error Reduction: Benchmarking and Best Practices For more than a decade and a half, the College of American Pathologists (CAP) has defined the nature of quality in the practices of laboratory medicine and anatomic pathology through its quality benchmarking Q-Probes program. By using these data collection tools, voluntary participants representing heterogeneous groups of hospitals and practice environments located in all geographic regions of the United States have measured standard parameters of quality. In each of these studies, enormous amounts of data were collected during periods lasting weeks to months. From these data, CAP statisticians have established benchmarks of laboratory performance. Participants have been able to gauge their performances relative to those of the national benchmarks determined in these studies and those of their peers participating in the studies. In each study, participants also have provided general information describing how laboratory services are provided in their institutions. CAP statisticians have used these data to determine which laboratory and professional practices are associated with superior outcomes.1-5 For example, 2 Q-Probes studies examined the frequencies of the following: (1) completion of 4 standard components of patient and blood unit identification before performing blood transfusions and (2) performance of required vital sign monitoring during the transfusions.6 Participants representing a total of 600 hospitals audited 16,494 transfusions. The median frequencies with which health care workers performed all patient identification and monitoring procedures ranged from 10.0% to 69.0% and 90.2% to 95.0%, respectively, in both studies. Individual practices and/or institutional policies associated with greater Reducing Errors in the Practices of Pathology and Laboratory Medicine An Industrial Approach David A. Novis, MD,1,2 and George Konstantakos3
减少病理学和检验医学实践中的错误——一种工业方法
使用质量基准和绩效跟踪技术已经成功地减少了病理和检验医学实践中的错误。然而,制造业开发的技术,特别是由丰田汽车公司开创的技术,在减少错误方面比医疗保健行业开发的技术更有效。我们将讨论其中的一些技术,并对它们如何在实验室中应用进行类比。十多年来,美国病理学家学院(CAP)通过其质量基准Q-Probes计划,定义了检验医学和解剖病理学实践中质量的本质。通过使用这些数据收集工具,代表美国所有地理区域的医院和实践环境的不同群体的自愿参与者测量了质量的标准参数。在每一项研究中,在数周到数月的时间里收集了大量的数据。根据这些数据,CAP统计人员建立了实验室绩效的基准。参与者能够根据这些研究确定的国家基准和参与研究的同龄人的基准来衡量他们的表现。在每项研究中,参与者还提供了描述其机构如何提供实验室服务的一般信息。CAP统计学家使用这些数据来确定哪些实验室和专业实践与更好的结果相关。例如,2项Q-Probes研究检查了以下频率:(1)在输血前完成患者和血液单位识别的4个标准组成部分,(2)在输血过程中执行必要的生命体征监测代表总共600家医院的参与者审计了16 494次输血。在两项研究中,卫生保健工作者执行所有患者识别和监测程序的中位数频率分别为10.0%至69.0%和90.2%至95.0%。个人实践和/或机构政策与更大程度地减少病理学和实验室医学实践中的错误有关:一种工业方法David A. Novis,医学博士1,2和George Konstantakos3
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