## 5 Conclusions  
In this paper, a smart multi-level tool for real-time remote patient monitoring (SMRRPM) was presented, which integrates two cutting-edge technologies, _i.e._, WSN and MAR. To support nurse activities, the SMRRPM generates digital reports on patients' health. These reports are currently focused on body temperature and heart rate measurement. Moreover, the reports can be transmitted remotely within a communication distance of twenty meters without an antenna. The SMRRPM offers the nursing staff multiple ways to be informed when a patient presents an anomaly; updated patient vital signs can be obtained from the central nurse server interface or from the mobile nurse monitor.  
During this research, it was observed that nurses must characterize a patient's health before and after medical treatment, surgery, or examinations. In countries where the government provides public health institutions (PHIs), there is an overpopulation of patients who require hospitalization. In most cases, nurses do not have access to new technology that could support activities such as patient monitoring, and instead rely on handwritten reports. The increasing occupancy rate of PHIs affects the functioning of the nursing staff because when a patient is admitted to a PHI, the nurses must be in continuous contact with the patient until the doctor provides a hospital discharge report. Consequently, the SMRRPM is presented as an alternative to improve nursing operations to achieve the following improvements:  
* A decrease in the time needed to monitor patients, through characterizing a patient's health in real time.
* Automatic diagnosis in real time of conditions such as hyperthermia, hypothermia, tachycardia, and bradycardia.
* Remote alarm generation based on early detection of anomalies in a patient's health condition, avoiding the potentially serious consequences of late detection.  
\begin{table}
\begin{tabular}{c c c c} \hline
**Condition** & **Detected Parameter** & **False Rejection Diagnosis (FRD)** & **False Acceptance Diagnosis (FAD)** \\ \hline Tachycardia & \(HR>100\)\(BPM\) & 4\% & 6\% \\ Bradycardia & \(HR<60\)\(BPM\) & 2\% & 10\% \\ Hyperthermia & \(CT>37.5\)\({}^{o}C\) & 0\% & 0\% \\ Hypothermia & \(CT<36.0\)\({}^{o}C\) & 2\% & 0\% \\ \hline \end{tabular}
\end{table}
Table 6: Comparative test between the diagnostics provided by the SMRRPM and the nurses.  
* Generation of virtual files for the viewing of patient health variables, avoiding the use of handwritten reports.  
Finally, the project began as basic research to develop a new understanding of the foundations underlying WSN and MAR. However, the project evolved until it produced an important application for medical services. The primary aim was to understand the fundamental basis of an ultimate application. The top ten universities in the world are designing the newest technologies. Academic research is closely related to industrial technologies, and universities produce knowledge that is applicable outside of the academic setting. This research is an example of how to speed the translation of research into practice. Oftentimes, a gap exists between those who create the evidence base and those who are positioned to implement the research findings. The best way to obtain knowledge is through research and its application in real-life projects. Some of the planned future work includes the final product design of the sensors with manufacturing specifications, the implementation of databases in the cloud, and the integration of other variables (_i.e._, sensors) to complement the basic diagnostics.