Paper
28 August 2023 Optimal allocation strategy of orthopedic clinical nursing services based on artificial intelligence
Wenxia Yuan
Author Affiliations +
Proceedings Volume 12724, Second International Conference on Biomedical and Intelligent Systems (IC-BIS 2023); 1272407 (2023) https://doi.org/10.1117/12.2687554
Event: Second International Conference on Biomedical and Intelligent Systems (IC-BIS2023), 2023, Xiamen, China
Abstract
With the progress of society and the continuous improvement of science and technology, people pay more and more attention to disease prevention. Under the background of the vigorous development of medical and health undertakings and the intensification of population aging, the nursing work of clinical departments in hospitals is facing great challenges. This article has carried out targeted analysis and discussion with orthopedic clinical nursing service as the research object. According to different populations, it has adopted differentiated strategies to help them establish healthy lifestyle and nursing concepts. This article also combined with clinical needs to carry out relevant work for patients to improve nursing satisfaction. At the same time, on the basis of artificial intelligence, this paper designed the optimized configuration of nursing services, and tested the configuration function. The test results show that the convergence rate of orthopedic clinical nursing service framework is more than 70%. This shows that the framework can efficiently help users complete clinical services, improve the quality of clinical services, promote the healthy development of patients' rehabilitation and reduce the occurrence of doctor-patient disputes, so as to promote the better and faster development of medical and health undertakings.
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Wenxia Yuan "Optimal allocation strategy of orthopedic clinical nursing services based on artificial intelligence", Proc. SPIE 12724, Second International Conference on Biomedical and Intelligent Systems (IC-BIS 2023), 1272407 (28 August 2023); https://doi.org/10.1117/12.2687554
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KEYWORDS
Artificial intelligence

Diseases and disorders

Mental disorders

Education and training

Biomedical applications

Brain

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