Research on Construction and Operation Mode of Collaborative
Platform for Regional Medical Imaging
LI Jinfu1, TIAN Haitao2, ZHANG Chunsong3
1. Department of Information Management, Beijing Hospital Traditional Chinese Medicine, Beijing 101300, China丨
2. Department of Information Management, Health Information Center in Shunyi District of Beijing, Beijing 101300, China丨
3. Department of Information, Beijing Shunyi Hospital, Beijing 101300, China
Abstract：Objective To study the framework, construction, application benefits of regional medical imaging collaborative platform.
Methods Through the construction of the private network for regional medical imaging to connect the medical institutions within the
region and build the regional imaging cloud, so as to realize remote diagnosis and consultation services. Results Since the platform
started operation in 2015, as of May 2021, it had covered 30 hospitals, including 4 secondary hospitals and 26 primary hospitals,
completed examination and remote diagnosis for 1.7 million patients in Shunyi District, and carried out more than 50000 times of
remote consultations. Conclusion The construction and application of the platform introduced the new medical service model into
Shunyi District, which allows patient to have examination in local and have remove diagnosis at the higher-level hospital. The new
service model promotes the optimal allocation of medical resources in the district. Benefiting from the combination of telediagnosis
and remote consultation, which has served more than one million patients in the last five years, patients in villages and towns have
realized “no going out for minor diseases”. The total amount of transportation cost and charge for loss of working time saved for
grass-roots patients by the new service model exceeds 10 million yuan.
李金福1，田海涛2，张春松3. 区域影像协同平台建设及运营模式的研究[J]. 中国医疗设备, 2022, 37(1): 77-81.
LI Jinfu1, TIAN Haitao2, ZHANG Chunsong3. Research on Construction and Operation Mode of Collaborative
Platform for Regional Medical Imaging. China Medical Devices, 2022, 37(1): 77-81.
