Design of Nursing Information Collection System Based on Artificial Intelligence Big Data Analysis Algorithm

The purpose of this paper is to design a nursing information collection system based on artificial intelligence big data analysis algorithm to improve the efficiency and accuracy of nursing management. With the advancement of medical informatization, traditional nursing information collection methods face challenges such as large data volume and slow processing speed. The introduction of big data analysis algorithms can significantly improve these problems and provide more accurate nursing data support. In this paper, we first designed a node deployment model based on big data analysis and optimized the collection algorithm of multi-feature fusion to improve the comprehensiveness and accuracy of data collection. Secondly, relevant technologies such as C/S mode, B/S mode and WAP platform are analyzed to explore their application in nursing information collection system. In terms of system design, a perfect software and network architecture is constructed to ensure the stability and efficiency of the system. The effectiveness of the system is verified through simulation experiments, and the results show that the system can significantly improve the efficiency of nursing information collection and provide powerful data support for nursing management.