Remote patient monitoring is an emerging healthcare technology that uses IoT devices and sensors to monitor patients' health statuses remotely. The healthcare industry holds immense potential for revolutionizing itself through advancements that enhance efficiency, accuracy, and cost-effectiveness in healthcare delivery. These innovations have the power to improve patient outcomes significantly. This conversation discussed the different devices and sensors used in remote patient monitoring, the hardware and software components required for building a remote patient monitoring system, the future developments in IoT technology for remote patient monitoring, and an example programme for remote patient monitoring using an Arduino board. The use of IoT technology in remote patient monitoring has the potential to transform the healthcare industry by providing better healthcare services to patients and healthcare professionals.
TopIntroduction
An Internet of Things (IoT) based remote patient monitoring system can be an effective tool for medical services to remotely monitor patients' health conditions and provide timely interventions. The system can use a combination of sensors, wireless communication technology, and cloud computing to collect, store, and analyze patients' data, and then transmit the information to healthcare professionals.
An IoT-based remote patient monitoring system for home healthcare. The system uses various sensors and a cloud-based platform for data storage and analysis. The authors' evaluation shows the system's reliability and efficiency in remote monitoring, making it a promising approach for improving healthcare delivery (Salunke & Nerkar, 2017). The potential of IoT technology in healthcare management, discussing applications and challenges are explored. It highlights the importance of addressing security, privacy, and interoperability issues, and offers valuable insights for researchers, healthcare professionals, and policymakers (Lv et al., 2021). IoT in healthcare has potential benefits such as improved patient outcomes, but also challenges such as interoperability and security. Systems engineering is suggested to address these challenges (Sharma et al., 2020). The proposed smart lock system uses an ESP8266 Wi-Fi module and an Arduino UNO board to provide secure access control to a room or building. It is able to detect unauthorized access attempts and send real-time notifications to the owner's smartphone. The results show that the proposed system is effective and provides a low-cost solution for secure access control. Overall, the paper provides an interesting application of IoT technology in the field of access control and security (Tao et al., 2019).
The study investigated the association between homocysteine levels and liver fibrosis in a health check-up population. The findings revealed a notable correlation between elevated levels of homocysteine and an increased likelihood of liver fibrosis. This suggests that homocysteine could be a potential biomarker for early detection and prediction of liver fibrosis. The paper provides insight into the role of homocysteine in liver fibrosis and its potential clinical implications for early diagnosis and treatment (Tekeste et al., 2019). This monograph provides a comprehensive account of the Meliaceae family, a group of trees and shrubs found in tropical regions. It is based on extensive fieldwork and botanical research conducted by T.D. Pennington, a renowned botanist and expert on tropical plants. It includes detailed descriptions and illustrations of all known species in the family, as well as information on their distribution, ecology, and economic uses. It also includes sections on the subfamily Swietenioideae and the chemotaxonomy of the family. The monograph is an important reference work for botanists, ecologists, and anyone interested in the flora of tropical regions (Syafa’Ah et al., 2019).