## 4 Discussion  
Implementing IoMT systems in clinics and hospitals has become increasingly common in recent years as it offers numerous advantages for monitoring and treating patients. The results obtained in this case study demonstrate that the implementation of an IoMT system in the clinic participating in the study has been successful in terms of response time, sensitivity, specificity, precision, accuracy, F-Score, positive predictive value, negative predictive value, false positive rate, false negative rate, and error rate. The success rate in transmitting data from the devices to the cloud system and the accuracy of the vital signs data collected by the monitoring devices are also high, indicating that the system is reliable and accurate when collecting and data transmission. However, the frequency of patient use and the number of vital sign data collected by the system can vary. Therefore, they must be continuously monitored to ensure the system is optimally used. \begin{table}
\begin{tabular}{c c} \hline \hline
**Parameter** & **Value** \\ \hline Frequency of use of the system by patients (per week) & 5 \\ Number of vital signs data collected by the system & 1000 \\ Accuracy of vital signs data collected by monitoring devices & 0.95 \\ The success rate in transmitting data from devices to the cloud system & 0.99 \\ Response time of medical personnel when receiving alerts from the IoMT & 2 \\ system (in minutes) & 0.80 \\ Resolution rate of health problems detected by the system & 0.80 \\ \hline \hline \end{tabular}
\end{table} 
Table 7: Table of parameters of an IoMT system for monitoring vital signs and detection of health problems. In addition, the resolution rate of health problems detected by the system is also an important parameter to consider. Although this case study's resolution rate is high, it is necessary to remember that each health problem is unique and may require different treatments and solutions. Therefore, medical personnel must be trained to correctly interpret the data provided by the IoMT system and make the correct decisions for the treatment of patients. Regarding the frequency of use of the system by patients, a high use rate is observed, which suggests positive patient acceptance [22]. This may indicate that the system is improving medical care for patients by allowing them to monitor their health status in real-time, even when they are not in the clinic. Relative to the number of vital signs data collected by the system, a high volume is observed, indicating that the system is generating a large number of valuable data for medical professionals. However, this can also challenge medical personnel to analyze and use these data effectively [2]. The accuracy of vital signs data collected by monitoring devices is high, suggesting that the devices are reliable and generate accurate data [20]. In addition, the success rate of data transmission from the devices to the cloud system is also high, indicating an adequate ability to transfer data reliably [39]. The response time of medical personnel when receiving alerts from the IoMT system is relatively low, suggesting that the system is promptly providing valuable information to medical personnel. However, further testing must determine if this response time is sufficient to ensure proper medical care. Several similar works have evaluated the effectiveness of IoMT systems in healthcare settings. For example, the authors of [14] assessed the efficacy of an IoMT system in the early detection of cardiovascular disease. The results showed that the IoMT system was influential in the early detection of cardiovascular disease in high-risk patients. Another study [35] evaluated the effectiveness of an IoMT system in monitoring patients with chronic heart failure. The results showed that the IoMT system was influential in the early detection of health problems in patients with chronic heart failure and improved the patient's quality of life.