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一种用于快速搜索诊断病例档案的新型网络应用程序。

A Novel Web Application for Rapidly Searching the Diagnostic Case Archive.

作者信息

Robertson Scott

机构信息

Department of Anatomic Pathology, Cleveland Clinic, Cleveland, OH, USA.

出版信息

J Pathol Inform. 2020 Dec 24;11:39. doi: 10.4103/jpi.jpi_43_20. eCollection 2020.

Abstract

Academic pathologists must have the ability to search their institution's archive of diagnostic case data. This ability is foundational for research, education, and other academic activities. However, the built-in search functions of commercial laboratory information systems are not always optimized for this activity, leading to delays between an initial search request, and eventual results delivery. To solve this problem, a novel web-based search platform was developed, named Pathtools, which allows our staff and trainees to directly and rapidly search our diagnostic case archive. Pathtools was built with open-source components and features a web-based user-interface. Pathtools uses an SQL database which was populated with anatomic pathology case data going back to 1980, and contains 4.2 million cases (as of July 31, 2020). Pathtools has two major modes of operation, "Preview Mode" and "Research Mode." Since deployment in February of 2019, Pathtools carried out 33,817 searches in Preview Mode, averaging 0.72 s (standard deviation = 1.7) between search submission, and on-screen display of search results. In Research Mode, Pathtools has also been used to produce data sets for research activity, providing the data used in many abstracts and manuscripts our investigators submitted recently. Interestingly, 75% of search activity is from trainees during their preview time. In a survey of residents and fellows, 83% used Pathtools during the majority of their preview sessions, demonstrating an important role for this resource in trainee education. In conclusion, a web-based search tool can rapidly and securely provide search capability directly to end-users, which has augmented trainee education and research activity in our department.

摘要

学术病理学家必须具备搜索其所在机构诊断病例数据存档的能力。这种能力是研究、教育及其他学术活动的基础。然而,商业实验室信息系统的内置搜索功能并非总是针对此项活动进行优化,这导致从最初的搜索请求到最终结果交付之间存在延迟。为解决这一问题,开发了一个名为Pathtools的新型基于网络的搜索平台,它使我们的工作人员和学员能够直接快速地搜索我们的诊断病例存档。Pathtools是用开源组件构建的,具有基于网络的用户界面。Pathtools使用一个SQL数据库,其中填充了可追溯到1980年的解剖病理学病例数据,截至2020年7月31日包含420万个病例。Pathtools有两种主要操作模式,即“预览模式”和“研究模式”。自2019年2月部署以来,Pathtools在预览模式下进行了33817次搜索,从搜索提交到搜索结果在屏幕上显示的平均时间为0.72秒(标准差 = 1.7)。在研究模式下,Pathtools还被用于生成研究活动的数据集,为我们的研究人员最近提交的许多摘要和手稿提供了数据。有趣的是,75%的搜索活动来自学员的预览时间。在对住院医师和研究员的一项调查中,83%的人在大多数预览时段使用了Pathtools,这表明该资源在学员教育中发挥了重要作用。总之,一个基于网络的搜索工具可以直接为终端用户快速、安全地提供搜索功能,这增强了我们部门的学员教育和研究活动。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2288/8020840/3abab0f597a2/JPI-11-39-g001.jpg

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