Research Article
Research on Equipment Management System of Smart Hospital Based on Data Visualization
@INPROCEEDINGS{10.1007/978-3-031-28787-9_29, author={Yuanling Ma and Xiao Ma and Chengnan Pan and Runlin Li and Zhi Fang}, title={Research on Equipment Management System of Smart Hospital Based on Data Visualization}, proceedings={Advanced Hybrid Information Processing. 6th EAI International Conference, ADHIP 2022, Changsha, China, September 29-30, 2022, Proceedings, Part I}, proceedings_a={ADHIP}, year={2023}, month={3}, keywords={Data visualization Smart hospital Equipment management Condition monitoring}, doi={10.1007/978-3-031-28787-9_29} }- Yuanling Ma
Xiao Ma
Chengnan Pan
Runlin Li
Zhi Fang
Year: 2023
Research on Equipment Management System of Smart Hospital Based on Data Visualization
ADHIP
Springer
DOI: 10.1007/978-3-031-28787-9_29
Abstract
Medical equipment is an important part of the assets of smart hospitals and an important guarantee for clinical departments to complete normal medical treatment. Strengthening the management of medical equipment, giving full play to the maximum benefits of medical equipment, and preventing the loss and idleness of medical equipment have been widely valued by hospitals. However, hospitals are facing high equipment investment, difficult management and low operation and maintenance efficiency. In order to improve the management effect of network equipment, security equipment, guidance equipment and other electromechanical equipment in smart hospitals, an application method of smart hospital equipment management system based on data visualization is proposed. Aiming at the intelligent management of equipment, the visualization technology is used to monitor the operation status of various equipment, and the management strategy of various equipment in the smart hospital is optimized to improve the operation efficiency of the equipment in the smart hospital. Build a smart hospital equipment operation supervision system to achieve efficient management of smart hospital equipment. Finally, it is confirmed by experiments that the smart hospital equipment management function of the system in this paper is perfect, and the operation stability is strong, and it has high practicability and reliability in the actual application process.
