Hsiao Chia-Hung, Hsu Tien-Cheng, Chang Jing Ning, Yang Stephen J H, Young Shuenn-Tsong, Chu Woei Chyn
Computer and Communication Center, National Yang-Ming University, Taipei, Taiwan, Republic of China.
J Digit Imaging. 2006 Sep;19(3):207-15. doi: 10.1007/s10278-006-0588-6.
The integration of medical informatics and e-learning systems could provide many advanced applications including training, knowledge management, telemedicine, etc. Currently, both the domains of e-learning and medical image have sophisticated specifications and standards. It is a great challenge to bring about integration. In this paper, we describe the development of a Web interface for searching and viewing medical images that are stored in standard medical image servers. With the creation of a Web solution, we have reduced the overheads of integration. We have packaged Digital Imaging and Communications in Medicine (DICOM) network services as a component that can be used via a Web server. The Web server constitutes a content repository for searching, editing, and storing Web-based medical image content. This is a simple method by which the use of Picture Archiving and Communication System (PACS) can be extended. We show that the content repository can easily interact and integrate with a learning system. With the integration, the user can easily generate and assign medical image content for e-learning. A Web solution might be the simplest way for system integration. The demonstration in this paper should be useful as a method of expanding the usage of medical information. The construction of a Web-based repository and integrated with a learning system may be also applicable to other domains.
医学信息学与电子学习系统的整合可以提供许多先进的应用，包括培训、知识管理、远程医疗等。目前，电子学习和医学图像领域都有完善的规范和标准。实现整合是一项巨大的挑战。在本文中，我们描述了一个用于搜索和查看存储在标准医学图像服务器中的医学图像的Web界面的开发。通过创建一个Web解决方案，我们减少了整合的开销。我们将医学数字成像和通信（DICOM）网络服务打包成一个可以通过Web服务器使用的组件。Web服务器构成了一个用于搜索、编辑和存储基于Web的医学图像内容的内容存储库。这是一种扩展图像存档与通信系统（PACS）使用的简单方法。我们展示了内容存储库可以轻松地与学习系统进行交互和整合。通过整合，用户可以轻松地为电子学习生成和分配医学图像内容。Web解决方案可能是系统整合最简单的方法。本文中的演示作为一种扩展医学信息使用的方法应该是有用的。基于Web的存储库的构建并与学习系统集成也可能适用于其他领域。
