Department of Pathology, Massachusetts General Hospital, Boston, MA 02114, USA.
Adv Anat Pathol. 2010 Sep;17(5):359-65. doi: 10.1097/PAP.0b013e3181ece0db.
Detecting and classifying error in a surgical pathology (SP) practice is an important part of a comprehensive quality assurance program. There are a number of mechanisms to detect error, including secondary review, examination of amended reports, correlation studies (cytology-histology and frozen-final diagnosis correlation). These different detection methods are reviewed in this paper. Additionally, the most common methods for error classification are also reviewed, along with the benefits and limitations of each. Although there is presently no gold standard for detecting or classifying errors in SP, based on this review of the literature, it is clearly good practice to consistently apply a standard method. Most importantly, these data should be incorporated into quality assurance and quality improvement activities, such that departments strive to reduce errors, and to help improve overall quality in SP.
检测和分类外科病理学（SP）实践中的错误是全面质量保证计划的重要组成部分。有许多机制可以检测错误，包括二次审查、修改报告的检查、相关性研究（细胞学-组织学和冷冻-最终诊断相关性）。本文综述了这些不同的检测方法。此外，还回顾了最常见的错误分类方法，以及每种方法的优缺点。尽管目前在 SP 中检测或分类错误还没有金标准，但基于对文献的回顾，始终应用标准方法显然是良好的实践。最重要的是，这些数据应纳入质量保证和质量改进活动，以便各部门努力减少错误，并帮助提高 SP 的整体质量。
