Abstract：Objective To improve the reading and management ability of medical images under the framework of medical consortium,
and promote the sharing of high-quality medical imaging resources by designing and implementing a regional medical consortium
cloud PACS with Hadoop distributed storage technology as the core. Methods Taking Hadoop distributed storage technology as
the core and Web user interface, intermediate interface, HDFS distributed storage, virtualized fault tolerance and virtualization as
the components of system architecture, the cloud PACS under the regional medical consortium was design and implemented.
Results The designed system included single sign-on, patient information management, image reading and other functions to meet
the needs of medical image reading and management for regional medical consortium. Furthermore, by comparing the file reading
test results of the network file system (NFS), it was found that the speed was improved by an average of 2.4 times, and the difference
between the two was statistically different (t=82.6, P<0.01). Conclusion In the aspect of system implementation, this research
describes the core implementation methods, architecture, components, and user interface of the system, which has good reference
significance. In terms of system application, the file reading speed of the designed system is significantly better than that of the
traditional NFS system, which has a positive effect on the improvement of the informatization level of the medical consortium and
the promotion of medical image information sharing.
岑星星，汤钦华，马群圣. 基于Hadoop分布式存储的区域医联体云PACS的研究与应用[J]. 中国医疗设备, 2021, 36(12): 103-107.
CEN Xingxing, TANG Qinhua, MA Qunsheng. Research and Application of PACS for Regional Medical Consortium Cloud Based on Hadoop
Distributed Storage. China Medical Devices, 2021, 36(12): 103-107.
