A Performance Evaluation of RPL in Mobile IoT Applications: A Practical Approach

Kharrufa, Harith; Salman, Naveed; Ma, Lei; Kemp, Andrew H.

doi:10.1016/j.ifacol.2019.12.428

Cited by 3 publications

(1 citation statement)

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“…e observation group built the Internet of things performance management platform based on the clinical service needs of medical imaging equipment and realized the real-time monitoring and task scheduling decision of equipment operation statistics and process data from four parts: data acquisition, network architecture, CPU, and display output [22][23][24]. e research data showed that the utilization rate, operation rate, examination scheduling balance, and technician scheduling balance of the observation group were better than those of the control group.…”

Section: Comparison Of Clinical Service Satisfaction Between the Two ...mentioning

confidence: 99%

Performance Evaluation System Based on Online Monitoring of Internet of Things

Zhang

Zhao

2022

Security and Communication Networks

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Research on performance evaluation system based on online monitoring of Internet of things technology, taking medical imaging equipment as an example. Build the performance management platform of the Internet of things through four aspects: data acquisition, network architecture, CPU, and display output. Select 100 medical imaging devices in clinical use in the hospital and divide them into the control group (50 sets) and the observation group (50 sets) according to different management modes. The control group adopts conventional performance management mode, and the observation group implements Internet of things performance management mode. Compare the differences of equipment operation performance, cost-effectiveness, and service effect between the two groups. The experimental results showed that the equipment utilization rate, operation rate, inspection schedule balance, and technician schedule balance of the observation group were better than those of the control group, and the difference was statistically significant ( P < 0.05). The quarterly cost-benefit increase of x-ray examination equipment, CT equipment, Mr equipment, interventional radiotherapy equipment, color ultrasound instrument, and nuclear medicine equipment in the observation group was higher than that in the control group ( P < 0.05). The satisfaction of imaging doctors, technicians, engineers, and patients with the equipment service quality of the observation group was higher than that of the control group; the difference was statistically significant ( P < 0.05). It is proved that the Internet of things performance management platform of medical imaging equipment can solve the problems of untimely information collection and unscientific scheduling during equipment operation, realize the real-time display and statistics of equipment operation performance, and improve the operation efficiency and service level of medical imaging equipment.

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Section: Comparison Of Clinical Service Satisfaction Between the Two ...mentioning

confidence: 99%