Nasseh Daniel, Schneiderbauer Sophie, Lange Michael, Schweizer Diana, Heinemann Volker, Belka Claus, Cadenovic Ranko, Buysse Laurence, Erickson Nicole, Mueller Michael, Kortuem Karsten, Niyazi Maximilian, Marschner Sebastian, Fey Theres
Comprehensive Cancer Center Munich, Munich, Germany.
Comprehensive Cancer Center, Ludwig-Maximilians-Universität München, Munich, Germany.
J Med Internet Res. 2020 Apr 17;22(4):e16533. doi: 10.2196/16533.
Many comprehensive cancer centers incorporate tumor documentation software supplying structured information from the associated centers' oncology patients for internal and external audit purposes. However, much of the documentation data included in these systems often remain unused and unknown by most of the clinicians at the sites.
To improve access to such data for analytical purposes, a prerollout of an analysis layer based on the business intelligence software QlikView was implemented. This software allows for the real-time analysis and inspection of oncology-related data. The system is meant to increase access to the data while simultaneously providing tools for user-friendly real-time analytics.
The system combines in-memory capabilities (based on QlikView software) with innovative techniques that compress the complexity of the data, consequently improving its readability as well as its accessibility for designated end users. Aside from the technical and conceptual components, the software's implementation necessitated a complex system of permission and governance.
A continuously running system including daily updates with a user-friendly Web interface and real-time usage was established. This paper introduces its main components and major design ideas. A commented video summarizing and presenting the work can be found within the Multimedia Appendix.
The system has been well-received by a focus group of physicians within an initial prerollout. Aside from improving data transparency, the system's main benefits are its quality and process control capabilities, knowledge discovery, and hypothesis generation. Limitations such as run time, governance, or misinterpretation of data are considered.
许多综合癌症中心采用肿瘤文档软件，为内部和外部审计目的提供相关中心肿瘤患者的结构化信息。然而，这些系统中包含的许多文档数据，站点的大多数临床医生往往未使用且不了解。
为了便于分析使用此类数据，基于商业智能软件QlikView进行了分析层的预推出。该软件可对肿瘤相关数据进行实时分析和检查。该系统旨在增加数据的可获取性，同时提供便于用户使用的实时分析工具。
该系统将内存处理能力（基于QlikView软件）与创新技术相结合，这些技术可压缩数据的复杂性，从而提高其可读性以及指定最终用户的可访问性。除了技术和概念组件外，该软件的实施还需要一个复杂的权限和管理系统。
建立了一个持续运行的系统，包括每日更新、用户友好的网络界面和实时使用情况。本文介绍了其主要组件和主要设计理念。多媒体附录中提供了一个总结并展示这项工作的带注释视频。
在初步预推出期间，该系统受到了一组重点医生的好评。除了提高数据透明度外，该系统的主要优势在于其质量和过程控制能力、知识发现以及假设生成。同时也考虑到了运行时间、管理或数据误解等局限性。
