An Integrated IoT-Based System for Vital Sign Monitoring and Patient Identification for Smart Hospitals

Abstract

This study aimed to develop an intelligent system for vital-sign monitoring and patient identification using Internet of Things (IoT) technology. The proposed system integrates multiple sensors to measure vital signs and employs a QR code embedded on a wristband to verify patient identity, thereby reducing the risk of misidentification and enhancing patient safety. The system is also connected to the Hospital Information System (HIS) to enable real-time recording of vital-sign data, allowing healthcare personnel to monitor patient conditions and assess disease severity promptly, thus improving the efficiency and quality of clinical care. System usability was evaluated using the System Usability Scale (SUS), and the obtained score was close to the general benchmark. In addition, system performance in terms of Quality of Service (QoS) was assessed, covering key indicators including availability (88.33%), accuracy (73–89%), and system stability (65.75%). The findings indicate that the proposed system can reduce healthcare workers’ workload and minimize redundant documentation, which may otherwise lead to errors and delays. The device automatically measures three essentials vital signs blood pressure, blood oxygen saturation, and body temperature—and transmits the data directly to the hospital database, enabling medical staff to access accurate and up-to-date information for effective clinical decision-making. Therefore, the system serves as an important component in supporting the Smart Hospital initiative in accordance with the policy of the Ministry of Public Health.