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Digital media archive for gross pathology images based on open-source tools and Fast Healthcare Interoperability Resources (FHIR)

机译:基于开源工具和快速医疗互操作性资源(FHIR)的数字媒体存档

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Macroscopic examination of surgical pathology and autopsy cases is a fundamental component of anatomic pathology. The photographic documentation of such clinical specimens is essential, and it may be required in certain instances. Our department began using consumer-grade digital cameras in 2005 to improve the practice of gross photography. However, the lack of an application to correctly catalog the photographs resulted in thousands of digital image files scattered across shared network drives, with limited case and patient metadata, making image retrieval a cumbersome and sometimes impossible task. Thirteen years later, we examined the legacy method of acquiring and accessing gross photographs in our department and determined the need for a web-based digital media archive to capture images with structured metadata. Using several open-source tools, including MediaWiki, we developed a flexible platform for building our digital media archive with a data schema based on the Fast Healthcare Interoperability Resources standard. Following a short pilot, we replaced the legacy method of handling gross pathology images with a new acquisition workflow and digital media archive. Through March 2021, 233 distinct users have accessed the system, 58 of which have uploaded 21,024 images. Of those images, 13,684 (65.1%) correspond to surgical pathology images, 4045 (19.2%) belong to neuropathology cases, and 3295 (15.7%) originate from autopsies. We demonstrate the design and implementation of a customizable anatomic pathology digital media archive solution in an academic pathology department setting using a modern standard for exchanging healthcare information electronically. The system's efficiency and scalability for our current operation will enable us to integrate with other applications and pathology informatics initiatives in the future.
机译:外科病理学和尸检病例的宏观检查是解剖病理学的基本组分。这种临床标本的摄影文档至关重要,可能在某些情况下需要。我们的部门于2005年开始使用消费者级数码相机,以改善摄影总体的实践。然而,缺乏应用程序来正确地编目照片导致数千个跨越共享网络驱动器分散的数千个数字图像文件,具有有限的情况和患者元数据,使图像检索一个麻烦且有时不可能的任务。十三年后,我们审查了在我们部门获取和访问毛级照片的遗留方法,并确定了基于Web的数字媒体归档,以捕获具有结构化元数据的图像。我们使用多个开源工具(包括MediaWiki),我们开发了一个灵活的平台,用于根据快速医疗互操作性资源标准使用数据模式构建我们的数字媒体归档。在短暂的飞行员之后,我们用新的采集工作流程和数字媒体存档取代了处理毛柄病理图像的遗留方法。到2021年3月,233个不同的用户已访问该系统,其中58个已上传21,024个图像。在这些图像中,13,684(65.1%)对应于外科病理学图像,4045(19.2%)属于神经病理学病例,3295例(15.7%)源自尸检。我们展示了使用现代标准以电子方式交换医疗信息的现代标准,展示了可定制的解剖学病理数字媒体归档解决方案的设计和实施。我们目前的操作的效率和可扩展性将使我们将来与其他应用程序和病理信息学举措集成。

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