Visualization of Remote Patient Monitoring System Based on Internet of Medical Things

Mudassar Ali Khan, Ikram Ud Din (), Byung-Seo Kim () and Ahmad Almogren
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Mudassar Ali Khan: Department of Information Technology, The University of Haripur, Haripur 22620, Pakistan
Ikram Ud Din: Department of Information Technology, The University of Haripur, Haripur 22620, Pakistan
Byung-Seo Kim: Department of Software and Communications Engineering, Hongik University, Sejong 30016, Republic of Korea
Ahmad Almogren: Department of Computer Science, College of Computer and Information Sciences, King Saud University, Riyadh 11633, Saudi Arabia

Sustainability, 2023, vol. 15, issue 10, 1-15

Abstract: Remote patient monitoring (RPM) has become a crucial tool for healthcare professionals in the monitoring and management of patients, particularly for patients with chronic illnesses. RPM has undergone improvements in its capability to deliver real-time data and information to healthcare practitioners as the Internet of Medical Things (IoMT) devices have become more widely available. However, managing and analyzing such a large volume of data still remains a difficult task. The visualization method suggested in this article enables healthcare professionals to examine data gathered by IoMT devices in real-time. Healthcare professionals may monitor patient health status and identify any data irregularities thanks to the system’s dashboard. To assess the system’s usability and user satisfaction, we employed both the Post-Study System Usability Questionnaire (PSSUQ) and the System Usability Scale (SUS). The outcomes of the PSSUQ and SUS assessments revealed that the suggested visualization system scored higher than the control group, demonstrating the system’s usability, accuracy, and dependability as well as its user-friendliness and intuitive interface. The visualization system can boost the effectiveness and efficiency of remote patient monitoring, resulting in better patient care and lower healthcare costs.

Keywords: visualization; remote patient monitoring; Internet of Medical Things; usability (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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