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三级癌症中心临床数字病理学操作中的质量管理系统。

Quality Management System in Clinical Digital Pathology Operations at a Tertiary Cancer Center.

机构信息

Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.

Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.

出版信息

Lab Invest. 2023 Nov;103(11):100246. doi: 10.1016/j.labinv.2023.100246. Epub 2023 Sep 1.

Abstract

Digital pathology workflows can improve pathology operations by allowing reliable and fast retrieval of digital images, digitally reviewing pathology slides, enabling remote work and telepathology, use of computer-aided tools, and sharing of digital images for research and educational purposes. The need for quality systems is a prerequisite for successful clinical-grade digital pathology adoption and patient safety. In this article, we describe the development of a structured digital pathology laboratory quality management system (QMS) for clinical digital pathology operations at Memorial Sloan Kettering Cancer Center (MSK). This digital pathology-specific QMS development stemmed from the gaps that were identified when MSK integrated digital pathology into its clinical practice. The digital scan team in conjunction with the Department of Pathology and Laboratory Medicine quality team developed a QMS tailored to the scanning operation to support departmental and institutional needs. As a first step, systemic mapping of the digital pathology operations identified the prescan, scan, and postscan processes; instrumentation; and staffing involved in the digital pathology operation. Next, gaps identified in quality control and quality assurance measures led to the development of standard operating procedures and training material for the different roles and workflows in the process. All digital pathology-related documents were subject to regulatory review and approval by departmental leadership. The quality essentials were developed into an extensive Digital Pathology Quality Essentials framework to specifically address the needs of the growing clinical use of digital pathology technologies. Using the unique digital experience gained at MSK, we present our recommendations for QMS for large-scale digital pathology operations in clinical settings.

摘要

数字病理学工作流程可以通过允许可靠和快速检索数字图像、数字审阅病理学幻灯片、实现远程工作和远程病理学、使用计算机辅助工具以及为研究和教育目的共享数字图像来改善病理学操作。质量体系的需求是成功采用临床级数字病理学和患者安全的前提。在本文中,我们描述了纪念斯隆-凯特琳癌症中心(MSK)临床数字病理学操作的结构化数字病理学实验室质量管理系统(QMS)的开发。这种数字病理学特有的 QMS 开发源于 MSK 将数字病理学集成到其临床实践中时发现的差距。数字扫描团队与病理学和实验室医学质量团队合作,开发了一个专门针对扫描操作的 QMS,以支持部门和机构的需求。作为第一步,对数字病理学操作进行系统映射,确定了扫描前、扫描中和扫描后的过程、仪器和参与数字病理学操作的人员。接下来,质量控制和质量保证措施中发现的差距导致为该过程中的不同角色和工作流程制定了标准操作程序和培训材料。所有与数字病理学相关的文件都经过部门领导的监管审查和批准。质量要点被纳入广泛的数字病理学质量要点框架中,以专门满足数字病理学技术日益增长的临床应用需求。利用在 MSK 获得的独特数字经验,我们为临床环境中的大规模数字病理学操作提出了 QMS 的建议。

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