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整合病理学信息学实现高质量的个性化和精准医疗:数字病理学及其他。

Integrated Pathology Informatics Enables High-Quality Personalized and Precision Medicine: Digital Pathology and Beyond.

机构信息

From the Department of Pathology, Laboratory Medicine Program, University Health Network, University of Toronto, Toronto, Ontario, Canada (Drs Volynskaya, Evans, and Asa, and Mss Chow and Lagmay-Traya); and the Department of Pathology, Laboratory Medicine Program, Lakeridge Health, Oshawa, Ontario, Canada (Mr Wolff).

出版信息

Arch Pathol Lab Med. 2018 Mar;142(3):369-382. doi: 10.5858/arpa.2017-0139-OA. Epub 2017 Aug 29.

DOI:10.5858/arpa.2017-0139-OA
PMID:28849944
Abstract

CONTEXT

  • The critical role of pathology in diagnosis, prognosis, and prediction demands high-quality subspecialty diagnostics that integrates information from multiple laboratories.

OBJECTIVE

  • To identify key requirements and to establish a systematic approach to providing high-quality pathology in a health care system that is responsible for services across a large geographic area.

DESIGN

  • This report focuses on the development of a multisite pathology informatics platform to support high-quality surgical pathology and hematopathology using a sophisticated laboratory information system and whole slide imaging for histology and immunohistochemistry, integrated with ancillary tools, including electron microscopy, flow cytometry, cytogenetics, and molecular diagnostics.

RESULTS

  • These tools enable patients in numerous geographic locations access to a model of subspecialty pathology that allows reporting of every specimen by the right pathologist at the right time. The use of whole slide imaging for multidisciplinary case conferences enables better communication among members of patient care teams. The system encourages data collection using a discrete data synoptic reporting module, has implemented documentation of quality assurance activities, and allows workload measurement, providing examples of additional benefits that can be gained by this electronic approach to pathology.

CONCLUSION

  • This approach builds the foundation for accurate big data collection and high-quality personalized and precision medicine.
摘要

背景

病理学在诊断、预后和预测方面起着至关重要的作用,这就需要高质量的专业诊断,整合来自多个实验室的信息。

目的

确定关键要求,并建立一种系统的方法,在负责大面积地理区域服务的医疗保健系统中提供高质量的病理学。

设计

本报告重点介绍了开发一个多站点病理学信息学平台的情况,该平台利用复杂的实验室信息系统和全切片成像技术支持高质量的外科病理学和血液病理学,同时整合辅助工具,包括电子显微镜、流式细胞术、细胞遗传学和分子诊断学。

结果

这些工具使众多地理位置的患者能够获得专业病理学的模式,使每个标本都能在适当的时间由适当的病理学家进行报告。全切片成像在多学科病例会议中的使用促进了患者护理团队成员之间的更好沟通。该系统鼓励使用离散数据综合报告模块进行数据收集,记录质量保证活动,并允许工作量测量,提供了通过这种电子病理学方法可以获得的其他好处的实例。

结论

这种方法为准确的大数据收集以及高质量的个性化和精准医学奠定了基础。

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