Smart Telemedicine-Remote Patient Monitoring
DOI:
https://doi.org/10.55938/wlp.v1i1.92Keywords:
EHR’s, Telemedicine, Remote patient monitoring, wearable sensors, IoHTAbstract
Remote healthcare technology employs sensors attached to the body or surroundings to monitor chronically ill patients, the elderly, newborn children, and accident victims. Recent advances have shown contactless monitoring, which requires patients to be within a short distance. The article analyzes current advancements in remote healthcare and monitoring, addressing typical system challenges and recommending topics for further research. Fall detection hardware and software are already in operation. This article investigates the adoption of applications in smart city infrastructure, specifically assessing activities involving body temperature, heart rate, and blood glucose levels. It evaluates related technologies and systems for RHM services, identifying applicable monitoring applications using various models and matching IoT-based sensors. The paper also identifies shortcomings and proposes possible research directions. The study investigates the pros and cons of patient-centric real-time monitoring systems incorporating artificial intelligence (AI), wearable devices, and cloud technologies. AI-enabled RPM systems could identify initial indications of health deterioration, tailor patient health monitoring, and learn human behavior patterns, revolutionizing healthcare monitoring applications and improving patient outcomes.
References
Gupta, S., Sharma, H. K., & Kapoor, M. (2022). Smart Healthcare and Telemedicine Systems: Present and Future Applications. In Blockchain for Secure Healthcare Using Internet of Medical Things (IoMT) (pp. 183-197). Cham: Springer International Publishing.
Abdellatif, M. M., & Mohamed, W. (2020). Telemedicine: An IoT Based Remote Healthcare System. International Journal of Online & Biomedical Engineering, 16(6).
Sahatiya, P., & Singh, D. K. (2023). Role of Telemedicine in Healthcare Sector for Betterment of Smart City. In Soft Computing: Theories and Applications: Proceedings of SoCTA 2022 (pp. 925-935). Singapore: Springer Nature Singapore.
Gupta, A., Chakraborty, C., & Gupta, B. (2020). Advanced telemedicine system for remote healthcare monitoring. Advances in Telemedicine for Health Monitoring: Technologies, Design and Applications; IET Digital Library: London, UK, 163-185.
Kalasin, S., & Surareungchai, W. (2023). Challenges of emerging wearable sensors for remote monitoring toward telemedicine healthcare. Analytical chemistry, 95(3), 1773-1784.
Ahmed, S. T., Kumar, V. V., & Kim, J. (2023). AITel: eHealth augmented-intelligence-based telemedicine resource recommendation framework for IoT devices in smart cities. IEEE Internet of Things Journal, 10(21), 18461-18468.
Abugabah, A., Nizamuddin, N., & Alzubi, A. A. (2020). Decentralized telemedicine framework for a smart healthcare ecosystem. Ieee Access, 8, 166575-166588.
Volterrani, M., & Sposato, B. (2019). Remote monitoring and telemedicine. European Heart Journal Supplements, 21(Supplement_M), M54-M56.
Malasinghe, L. P., Ramzan, N., & Dahal, K. (2019). Remote patient monitoring: a comprehensive study. Journal of Ambient Intelligence and Humanized Computing, 10, 57-76.
Warsi, G. G., Hans, K., & Khatri, S. K. (2019, February). IOT based remote patient health monitoring system. In 2019 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COMITCon) (pp. 295-299). IEEE.
Albahri, A. S., Alwan, J. K., Taha, Z. K., Ismail, S. F., Hamid, R. A., Zaidan, A. A., ... & Alsalem, M. A. (2021). IoT-based telemedicine for disease prevention and health promotion: State-of-the-Art. Journal of Network and Computer Applications, 173, 102873.
Stalin, T. S., & Abraham, A. (2020). IOT BASED HEALTH MONITORING SYSTEM AND TELEMEDICINE. International Research Journal of Engineering and Technology (IRJET), 7(03).
Shaik, T., Tao, X., Higgins, N., Li, L., Gururajan, R., Zhou, X., & Acharya, U. R. (2023). Remote patient monitoring using artificial intelligence: Current state, applications, and challenges. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 13(2), e1485.
Alshamrani, M. (2022). IoT and artificial intelligence implementations for remote healthcare monitoring systems: A survey. Journal of King Saud University-Computer and Information Sciences, 34(8), 4687-4701.
Woods, M., & Miklencicova, R. (2021). Digital Epidemiological Surveillance, Smart Telemedicine Diagnosis Systems, and Machine Learning-based Real-Time Data Sensing and Processing in COVID-19 Remote Patient Monitoring. American Journal of Medical Research, 8(2).
Sujith, A. V. L. N., Sajja, G. S., Mahalakshmi, V., Nuhmani, S., & Prasanalakshmi, B. (2022). Systematic review of smart health monitoring using deep learning and Artificial intelligence. Neuroscience Informatics, 2(3), 100028.
Hameed, K., Bajwa, I. S., Sarwar, N., Anwar, W., Mushtaq, Z., & Rashid, T. (2021). Integration of 5G and block-chain technologies in smart telemedicine using IoT. Journal of Healthcare Engineering, 2021, 1-18.
Majeed, J. H., & Aish, Q. (2021). A remote patient monitoring based on WBAN implementation with internet of thing and cloud server. Bulletin of Electrical Engineering and Informatics, 10(3), 1640-1647.
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