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Proceedings Paper

The development and implementation of MOSAIQ Integration Platform (MIP) based on the radiotherapy workflow
Author(s): Xin Yang; Zhen-yu He; Xiao-bo Jiang; Mao-sheng Lin; Ning-shan Zhong; Jiang Hu; Zhen-yu Qi; Yong Bao; Qiao-qiao Li; Bao-yue Li; Lian-ying Hu; Cheng-guang Lin; Yuan-hong Gao; Hui Liu; Xiao-yan Huang; Xiao-wu Deng; Yun-fei Xia; Meng-zhong Liu; Ying Sun
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Paper Abstract

To meet the special demands in China and the particular needs for the radiotherapy department, a MOSAIQ Integration Platform CHN (MIP) based on the workflow of radiation therapy (RT) has been developed, as a supplement system to the Elekta MOSAIQ. The MIP adopts C/S (client-server) structure mode, and its database is based on the Treatment Planning System (TPS) and MOSAIQ SQL Server 2008, running on the hospital local network. Five network servers, as a core hardware, supply data storage and network service based on the cloud services. The core software, using C# programming language, is developed based on Microsoft Visual Studio Platform. The MIP server could offer network service, including entry, query, statistics and print information for about 200 workstations at the same time. The MIP was implemented in the past one and a half years, and some practical patient-oriented functions were developed. And now the MIP is almost covering the whole workflow of radiation therapy. There are 15 function modules, such as: Notice, Appointment, Billing, Document Management (application/execution), System Management, and so on. By June of 2016, recorded data in the MIP are as following: 13546 patients, 13533 plan application, 15475 RT records, 14656 RT summaries, 567048 billing records and 506612 workload records, etc. The MIP based on the RT workflow has been successfully developed and clinically implemented with real-time performance, data security, stable operation. And it is demonstrated to be user-friendly and is proven to significantly improve the efficiency of the department. It is a key to facilitate the information sharing and department management. More functions can be added or modified for further enhancement its potentials in research and clinical practice.

Paper Details

Date Published: 13 March 2017
PDF: 6 pages
Proc. SPIE 10138, Medical Imaging 2017: Imaging Informatics for Healthcare, Research, and Applications, 101380G (13 March 2017); doi: 10.1117/12.2254521
Show Author Affiliations
Xin Yang, Sun Yat-sen Univ. Cancer Ctr. (China)
Zhen-yu He, Sun Yat-sen Univ. Cancer Ctr. (China)
Xiao-bo Jiang, Sun Yat-sen Univ. Cancer Ctr. (China)
Mao-sheng Lin, Sun Yat-sen Univ. Cancer Ctr. (China)
Ning-shan Zhong, Sun Yat-sen Univ. Cancer Ctr. (China)
Jiang Hu, Sun Yat-sen Univ. Cancer Ctr. (China)
Zhen-yu Qi, Sun Yat-sen Univ. Cancer Ctr. (China)
Yong Bao, Sun Yat-sen Univ. Cancer Ctr. (China)
Qiao-qiao Li, Sun Yat-sen Univ. Cancer Ctr. (China)
Bao-yue Li, Sun Yat-sen Univ. Cancer Ctr. (China)
Lian-ying Hu, Sun Yat-sen Univ. Cancer Ctr. (China)
Cheng-guang Lin, Sun Yat-sen Univ. Cancer Ctr. (China)
Yuan-hong Gao, Sun Yat-sen Univ. Cancer Ctr. (China)
Hui Liu, Sun Yat-sen Univ. Cancer Ctr. (China)
Xiao-yan Huang, Sun Yat-sen Univ. Cancer Ctr. (China)
Xiao-wu Deng, Sun Yat-sen Univ. Cancer Ctr. (China)
Yun-fei Xia, Sun Yat-sen Univ. Cancer Ctr. (China)
Meng-zhong Liu, Sun Yat-sen Univ. Cancer Ctr. (China)
Ying Sun, Sun Yat-sen Univ. Cancer Ctr. (China)


Published in SPIE Proceedings Vol. 10138:
Medical Imaging 2017: Imaging Informatics for Healthcare, Research, and Applications
Tessa S. Cook; Jianguo Zhang, Editor(s)

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