Research Article
Application of Intelligent Information Platform in Improving Nursing Efficiency
@INPROCEEDINGS{10.4108/eai.17-11-2023.2342806, author={Tingting Xu and Yanxing Chen}, title={Application of Intelligent Information Platform in Improving Nursing Efficiency}, proceedings={Proceedings of the First International Conference on Science, Engineering and Technology Practices for Sustainable Development, ICSETPSD 2023, 17th-18th November 2023, Coimbatore, Tamilnadu, India}, publisher={EAI}, proceedings_a={ICSETPSD}, year={2024}, month={1}, keywords={smart medical care information platform nursing efficiency cardiology nursing internet of things}, doi={10.4108/eai.17-11-2023.2342806} }
- Tingting Xu
Yanxing Chen
Year: 2024
Application of Intelligent Information Platform in Improving Nursing Efficiency
ICSETPSD
EAI
DOI: 10.4108/eai.17-11-2023.2342806
Abstract
The information age is coming, people’s lifestyle, psychological state have undergone great changes. Modern hospital management is a new management mode with information as the core, and nursing staff, as the main body of the implementation of the whole system, shoulder the heavy daily management work, and its position is becoming more important. At present, many hospitals still lack a set of perfect information management system, resulting in a lot of work cannot be implemented; it cannot ensure the improvement of work efficiency. This paper aims to discuss the design and implementation method of intelligent medical care management system under the Internet of Things (IoT) and other information technology, and illustrate the superiority and practical feasibility of this application mode through examples. It is hoped that the efficiency of medical staff can be significantly improved, so that nursing staff can better provide high-quality services for patients, and promote the vigorous development of medical and health undertakings. A comparative experiment was designed to evaluate the nursing effect of the intelligent information platform. The patients receiving the assistance of the intelligent information platform were called group A, and those receiving the traditional intracardiac care were called group B.