Research on Health Management Information Sharing Mechanism in Distributed Computing Environment

• Published in: Applied mathematics and nonlinear sciences 2024-01, Vol.9 (1)
• Main Author: Li, Na
• Format: Article
• Language: English
• Subjects: 62-07; Cloud computing technology; Health information platform; Information sharing mechanism; P2P architecture; SA-PSO algorithm
• ISSN: 2444-8656; 2444-8656
• DOI: 10.2478/amns-2024-2276

Cloud computing provides strong technical support for the construction of regional healthcare information platforms such as medical insurance, public health, etc., and brings infinite hope for the development of healthcare informatization. This paper is based on cloud computing technology support, using cloud computing data center resource utilization balanced virtual machine scheduling model, building health management information sharing mechanism, combined with distributed P2P architecture design, to realize the health management information sharing platform under distributed computing environment. Divide the data center of the health information sharing platform by health information theme, analyze the information sharing mechanism between blood stations and hospitals, and use charts to analyze the management and deployment of blood in blood stations. Build a fuzzy environment to analyze the execution time, response time, and spending of the virtual machine scheduling algorithm based on SA-PSO. Analyze the emergency response time and emergency effect of the health management information sharing platform compared to the traditional first aid process, as well as investigate and count the implementation of blood-based emergency management structures. The test group utilizing the distributed health management information sharing mechanism has less response time (s), emergency group boarding time (s), emergency response time (s), and in-hospital handover time (s) in the receiving time (s), emergency group boarding time (s), and in-hospital handover time (s) than the control group applying the 120 emergency response method, and the comparison is statistically significant (P < 0.05), which indicates that the health management information sharing mechanism is able to target the reduction of the response time, and embodies the construction of the health management importance significance.