Improving Efficiency and Security in Medical Device Systems through Novel Approaches

The article discusses the performance evaluation of a proposed architecture for a telemedicine system using three different user groups. The proposed architecture includes an API gateway, a data storage layer, and an infusion pump control layer. The authors evaluated the performance of the system by simulating 10 minutes of data transfer with 20, 50, and 100 users. They found that as the number of users increased, the throughput in the system also increased, and the average response time grew gradually.
The authors used Table 1 to show the total number of requests, average throughput, maximum response time, minimum response time, and average response time for each user group. They also included a graphical representation of the average throughput between the three user groups in Fig. 7. The results demonstrated that as the number of users increased, the average throughput improved, but the average response time grew longer.
To evaluate the performance of the system, the authors used an experimental setup with three different user groups and a duration of 600 seconds. They included a detailed representation of the system in Fig. 2, which incorporates two APIs: the authorization process utilizes a keyless algorithm by using token-based security.
Overall, the article provides valuable insights into the performance evaluation of a telemedicine system and highlights the importance of considering different user groups and their varying requirements when designing such systems. By understanding these factors, healthcare professionals can optimize the performance of their telemedicine systems to provide better patient care and improve overall outcomes.