Construction of Hospital Human Resource Information Management System under the Background of Artificial Intelligence

人力资源管理系统 计算机科学 资源管理(计算) 人力资源管理 管理信息系统 服务(商务) 医院信息系统 信息管理 管理制度 信息系统 信息共享 绩效管理 知识管理 运营管理 万维网 工程类 业务 计算机网络 营销 电气工程
作者
Xiaona Yu,Chunmei Zhang,Chengcheng Wang
出处
期刊:Computational and Mathematical Methods in Medicine [Hindawi Limited]
卷期号:2022: 1-11
标识
DOI:10.1155/2022/8377674
摘要

Under the background of artificial intelligence (AI), a human resource information management system was designed to facilitate hospital human resource management and improve hospital management efficiency. Based on AI, SOA was constructed and Java2 platform enterprise edition (J2EE) was combined with Java to design and research hospital human resource information management system. In addition, the function and performance required by the system were tested. The results showed that the designed system showed high safety in requirement analysis and performance. The function focused mainly on the systematic analysis of personnel management, recruitment management, organization and personnel management, and patient medical information. The constructed system could work normally and achieve the efficiency of hospital human resource management. The evaluation response time of system home page access was less than 1 second when 300 users were concurrent, and the utilization rate of service CPU was lower than 50% without abnormal memory fluctuation. The concurrent response time of all 20 managers online was less than 5 seconds, and the utilization rate of the service was lower than 70%. When the information of 100 employees in the system was queried concurrently, the average CPU utilization of the database server exceeded 90%. After performance optimization, the test result showed that the transaction response time was reduced to 0.23 seconds, which met the target requirement. In conclusion, the proposed intelligent human resource management system could reduce hospital management cost and the high sharing of human resource information provided a reference for the decision-making system of hospital leaders.

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