Medical Equipment Comprehensive Management System Based on Cloud Computing and Internet of Things

Area of Science:

• Healthcare Technology
• Computer Science
• Operations Research

Background:

• Modern medicine relies on advanced technology and auxiliary equipment for diagnosis, treatment, and prognosis.
• Increasing types and quantities of medical equipment pose significant management challenges in hospitals.
• Efficient hospital information systems are crucial for effective medical equipment management.

Purpose of the Study:

• To develop a comprehensive intelligent management system for hospital medical equipment.
• To enhance the scientific management of medical equipment, covering procurement, maintenance, and utilization.
• To improve the efficiency of medical equipment management through intelligent systems.

Main Methods:

• Development of a comprehensive medical equipment management system.
• Integration of cloud computing and the Internet of Things (IoT) for system architecture.
• Application of improved particle swarm optimization and chicken swarm algorithms for dynamic task scheduling.

Main Results:

• The system demonstrated excellent performance under stress testing with up to 1000 simulated users.
• Maintenance application submission times were 1228 ms (100 users) and 5123 ms (1000 users) with high accuracy rates (99.8% and 99.4%).
• The system provides robust data support for equipment management and maintenance planning.

Conclusions:

• The developed intelligent management system effectively addresses challenges in hospital medical equipment management.
• The system's performance validates its capability for dynamic task scheduling and data-driven decision-making.
• Implementing such systems is vital for optimizing resource allocation and ensuring the longevity of medical equipment.