Research Article
Research on Pain Information Management System Based on Deep Learning
@INPROCEEDINGS{10.1007/978-3-031-50577-5_1, author={Qi Shen and Yixin Wang and Weiqing Fang and Liqiang Gong and Zhijun Chen and Jianping Li}, title={Research on Pain Information Management System Based on Deep Learning}, proceedings={Multimedia Technology and Enhanced Learning. 5th EAI International Conference, ICMTEL 2023, Leicester, UK, April 28-29, 2023, Proceedings, Part III}, proceedings_a={ICMTEL PART 3}, year={2024}, month={2}, keywords={Deep learning Internet of Things Pain Management}, doi={10.1007/978-3-031-50577-5_1} }- Qi Shen
Yixin Wang
Weiqing Fang
Liqiang Gong
Zhijun Chen
Jianping Li
Year: 2024
Research on Pain Information Management System Based on Deep Learning
ICMTEL PART 3
Springer
DOI: 10.1007/978-3-031-50577-5_1
Abstract
The hospital accelerates the construction of the “trinity” of electronic medical records, smart services, and smart management, and the construction of hospital information standardization is an important part of hospital construction and hospital development, because information technology can improve overall work efficiency and standardize technical processes., reduce management costs, enhance the image of the hospital and other benefits. Pain management information system is a postoperative analgesia management system based on deep learning for clinical information processing and wireless network, with wireless comprehensive pain assessment, interactive patient pain education, wireless comprehensive pain follow-up, individualized patient self-controlled analgesia, wireless Real-time PCA monitoring, analgesic equipment maintenance, wireless analgesic sign monitoring, simple airway management and first aid, pain information management and analysis, and branch hospital quality control management and other functions.
