Intelligent Decision Support System for Pain Management in Operating Room Nursing
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DOI: 10.25236/icetmr.2024.027
Corresponding Author
Xiaolu Liu
Abstract
This article aims to explore the construction and application of an intelligent decision support system (IDSS) for pain management in operating room nursing, in order to solve the problems of strong subjectivity and lack of personalization in traditional pain management methods. By introducing advanced technologies such as artificial intelligence and big data, a scientific, practical, and user-friendly IDSS has been constructed. In terms of methodology, this article first elaborates on the importance of pain management in operating room nursing, as well as the many shortcomings of traditional pain management methods, such as strong subjectivity in assessment and lack of personalized intervention measures. Therefore, this study proposes to use intelligent technology to construct a pain management decision support system to improve the scientificity and effectiveness of pain management in operating room nursing. Then, the design principles, objectives, architecture, functional modules, and technical implementation path of IDSS were elaborated in detail. In summary, this article successfully constructed an IDSS for pain management in operating room nursing. In the future, we should continue to deepen the integration of intelligent technology and humanistic care, and promote the intelligent and humanized development of pain management.
Keywords
Operating room nursing; Pain management; Intelligent decision support system; Machine learning; Humanistic care