Research Article
Research on Constructing Regional Telemedicine Imaging Diagnosis Center Based on Ctirix Technology
@INPROCEEDINGS{10.1007/978-3-030-82565-2_21, author={Jinshun Ding and Yu Ren and Kefeng Xu and Yixin Wang}, title={Research on Constructing Regional Telemedicine Imaging Diagnosis Center Based on Ctirix Technology}, proceedings={Multimedia Technology and Enhanced Learning. Third EAI International Conference, ICMTEL 2021, Virtual Event, April 8--9, 2021, Proceedings, Part II}, proceedings_a={ICMTEL PART 2}, year={2021}, month={7}, keywords={Citrix technology Virtualized storage Regional imaging}, doi={10.1007/978-3-030-82565-2_21} }- Jinshun Ding
Yu Ren
Kefeng Xu
Yixin Wang
Year: 2021
Research on Constructing Regional Telemedicine Imaging Diagnosis Center Based on Ctirix Technology
ICMTEL PART 2
Springer
DOI: 10.1007/978-3-030-82565-2_21
Abstract
Medical informatization is an important direction of medical development, and regional medical information sharing is the overall trend of medical development. Content Establish the integration of information in the radiology department of the community health center and the imaging department of the secondary hospital in the medical union. Solve the problem of ineffective sharing of clinical imaging information data caused by different systems and servers in the region. It can optimize the rapid viewing of clinical data and historical case data of referral patients in the region to achieve an efficient and fast tracking of the entire treatment process of patients And the image information of the disease development. It mainly adopts CITRIX virtualization technology, which has the advantages of small occupied bandwidth, high security, convenient deployment, remote management, convenient maintenance, stable connection, and high reliability. Through Citrix technology, the clinical data sets of the branch hospitals are effectively centralized, and a relatively unified data system is established, which is stored, managed and transferred to a standardized data model to form a data set, and integrates internal data in the region to effectively serve clinical images.
