Clinical Department Systems-Pathology Informatics, Information Services Division, University of Pittsburgh Medical Center (UPMC), 450 Melwood Avenue, Pittsburgh, PA 15213, USA.
J Digit Imaging. 2013 Aug;26(4):668-77. doi: 10.1007/s10278-013-9572-0.
Digital pathology has grown dramatically in the last 10 years and has created opportunities to not only support the triaging of difficult cases among specialists within an organization, but also enable remote pathology consultations with external organizations across the world. This study investigated one organization's need for a vendor agnostic Digital Pathology Consultation workflow solution that overcomes the challenges associated with the transfer of large studies across a local area network or across the Internet. The organization investigated is a large multifacility healthcare organization that consists of 20 hospitals spread across a wide geographical area. The organization has one of the largest academic pathology departments in the USA, with more than 100 diagnostic anatomic pathologists. This organization developed a set of web-based tools to support the workflow of digital pathology consultations and allow the viewing of whole slide images. The challenges and practical implementations of two different use cases are addressed: the occasional end user (professional or patient) requesting a second opinion and the external laboratory or hospital looking for an established consultative relationship with a large volume of cases. The solution presented in this study addresses the challenges associated with the distribution of large images and the lack of established imaging standards, while providing for a convenient and secure portal for pathologist report entry and distribution.
数字病理学在过去的 10 年中得到了迅猛发展,不仅为组织内专家对疑难病例进行分诊提供了支持,也为全球范围内的外部组织进行远程病理学咨询创造了机会。本研究调查了一个组织对供应商中立的数字病理学咨询工作流程解决方案的需求,该解决方案旨在克服在局域网或互联网上传输大型研究时所面临的挑战。该组织是一家大型多机构医疗机构,由分布在广阔地理区域的 20 家医院组成。该组织拥有美国最大的学术病理学部门之一,拥有 100 多名诊断解剖病理学家。该组织开发了一组基于网络的工具,以支持数字病理学咨询的工作流程,并允许查看全幻灯片图像。本文解决了两种不同用例的挑战和实际实现问题:偶尔有终端用户(专业人员或患者)请求第二意见,以及外部实验室或医院寻求与大量病例建立咨询关系。本研究中提出的解决方案解决了大型图像分布和缺乏既定成像标准所带来的挑战,同时为病理学家报告输入和分发提供了便捷、安全的门户。