Department of Biomedical Engineering, Ming-Chuan University, Taoyuan, Taiwan.
Department of Medical Informatics, Tzu Chi University, 701 Zhongyang Rd. Sec. 3, Hualien, 97004, Taiwan.
J Digit Imaging. 2023 Jun;36(3):794-803. doi: 10.1007/s10278-021-00522-6. Epub 2023 Feb 2.
This paper proposes a web-based workflow scheme for the organization of medical images using FHIR and DICOM servers equipped with standard RESTful APIs. In our integrated workflow, the client systems (including order placer, scheduler, imaging modality, viewer, and report creator) use standard FHIR and DICOMweb APIs. The proposed scheme also facilitates the creation of reports formatted as standard FHIR resources. This paper leverages W3C Scalable Vector Graphics (SVG) to record the image graphic annotations, and encapsulates the SVG image annotation in FHIR observation. FHIR DiagnosticReports and Observations are used to encapsulate reports, findings, and annotations, thereby facilitating the implementation and integration of the scheme within existing structures. The proposed scheme also provides the potential to make it possible to convert results of Computer Aided Detection/Diagnosis from medical images into FHIR DiagnosticReports and Observations to be stored on a FHIR server. The resulting web-based solution uses FHIR XML and/or JSON data to record and exchange information related to imaging workflow. It can also be used to store imaging reports, findings, and annotations linked to the images using the DICOM WADO-RS protocol. As a result, it is possible to integrate all information that is created in medical imaging workflow. Finally, the proposed scheme is easily integrated with other FHIR systems.
本文提出了一种基于网络的工作流程方案，使用配备标准 RESTful API 的 FHIR 和 DICOM 服务器来组织医疗图像。在我们的集成工作流程中，客户端系统（包括订单放置者、调度程序、成像方式、查看器和报告创建者）使用标准的 FHIR 和 DICOMweb API。该方案还便于创建格式化为标准 FHIR 资源的报告。本文利用 W3C 可伸缩矢量图形 (SVG) 记录图像图形注释，并将 SVG 图像注释封装在 FHIR 观察中。FHIR 诊断报告和观察用于封装报告、发现和注释，从而便于在现有结构中实现和集成该方案。该方案还有可能将来自医学图像的计算机辅助检测/诊断结果转换为 FHIR 诊断报告和观察，并存储在 FHIR 服务器上。所提出的基于网络的解决方案使用 FHIR XML 和/或 JSON 数据来记录和交换与成像工作流程相关的信息。它还可以用于使用 DICOM WADO-RS 协议存储与图像相关的成像报告、发现和注释。因此，可以集成在医学成像工作流程中创建的所有信息。最后，该方案易于与其他 FHIR 系统集成。
