eISSN: 3087-4297 editor@aimjournals.com
All Journals
Submit your article

International Journal of Cyber Threat Intelligence and Secure Networking

Open Access Peer Review International
Open Access

Comprehensive Review of Modern Health Monitoring Technologies and Digital Healthcare Services

DOI https://doi.org/10.55640/ijctisn-v03i07-01
PDF
Dr. Arjun Mehta 1 , Dr. Priya Nair 1 ,
4 Department of Cyber Security Indian Institute of Information Technology (IIIT), Hyderabad, India
4 School of Computer Science and Engineering National Institute of Technology (NIT), Trichy, India

Abstract

The rapid evolution of digital healthcare systems has transformed traditional patient monitoring into intelligent, data-driven, and interconnected health ecosystems. This review critically examines modern health monitoring technologies and digital healthcare services with a focus on Internet of Things (IoT), wireless body area networks (WBAN), cloud–fog architectures, wearable sensing systems, and machine learning-based diagnostic frameworks. The study synthesizes existing literature to identify technological advancements, architectural models, and real-world applications in remote patient monitoring, elderly care, and chronic disease management. Particular attention is given to hybrid sensing infrastructures and their role in enabling continuous physiological tracking, as demonstrated in RFID–WSN integrated environments (Adame et al., 2018). The review further explores how machine learning and decentralized systems enhance predictive analytics, early diagnosis, and healthcare service delivery efficiency. Key findings reveal that while health monitoring technologies significantly improve accessibility and responsiveness of healthcare systems, challenges remain in data security, interoperability, energy efficiency, and clinical adoption. The study concludes that future healthcare systems will rely on integrated, scalable, and intelligent platforms combining edge computing, AI-driven analytics, and wearable sensor networks to achieve fully autonomous health monitoring ecosystems.

Keywords

Health Monitoring, IoT Healthcare, Wearable Sensors

References

Adame, T., Bel, A., Carreras, A., Melià-Seguí, J., Oliver, M., & Pous, R. (2018). CUIDATS: An RFID–WSN hybrid monitoring system for smart health care environments. Future Generation Computer Systems, 78, 602–615. https://doi.org/10.1016/j.future.2016.12.023
Afeni, B. O., Aruleba, T. I., & Oloyede, I. A. (2017). Hypertension prediction system using Naive Bayes classifier. Journal of Advances in Mathematics and Computer Science, 24(2), 1–11. https://doi.org/10.9734/JAMCS/2017/35610
Ahmed, F. Z., Taylor, J. K., Green, C., Moore, L., Goode, A., Black, P., Howard, L., Fullwood, C., Zaidi, A., Seed, A., Cunnington, C., & Motwani, M. (2020). Triage-HF Plus: A novel device-based remote monitoring pathway to identify worsening heart failure. ESC Heart Failure, 7(1), 107–116. https://doi.org/10.1002/ehf2.12529
Akhbarifar, S., Haj, H., & Javadi, S. (2020). A secure remote health monitoring model for early disease diagnosis in cloud-based IoT environment. Personal and Ubiquitous Computing.
Al-khafajiy, M., Baker, T., Chalmers, C., Asim, M., Kolivand, H., Fahim, M., & Waraich, A. (2019). Remote health monitoring of elderly through wearable sensors. Multimedia Tools and Applications, 78(17), 24681–24706. https://doi.org/10.1007/s11042-018-7134-7
Alazzam, M. B., Alassery, F., & Almulihi, A. (2021). A novel smart healthcare monitoring system using machine learning and the Internet of Things. Wireless Communications and Mobile Computing, 2021, 7.
Ali, M. S., Vecchio, M., Putra, G. D., Kanhere, S. S., & Antonelli, F. (2020). A decentralized peer-to-peer remote health monitoring system. Sensors (Switzerland), 20(6), 1–18. https://doi.org/10.3390/s20061656
Amitrano, F., Coccia, A., Ricciardi, C., Donisi, L., Cesarelli, G., Capodaglio, E. M., & D’Addio, G. (2020). Design and validation of an e-textile-based wearable sock for remote gait and postural assessment. Sensors (Switzerland), 20(22), 1–20. https://doi.org/10.3390/s20226691
Anitha, G., & Baghavathi Priya, S. (2019). Posture-based health monitoring and unusual behavior recognition system for elderly using dynamic Bayesian network. Cluster Computing, 22, 13583–13590. https://doi.org/10.1007/s10586-018-2010-9
Ashwini, G., & Ramkrishna, V. (2018). IoT based health monitoring system using Raspberry Pi. 2018 Fourth International Conference on Computing Communication Control and Automation (ICCUBEA), 1–5.
Baba, E., Jilbab, A., & Hammouch, A. (2018). A health remote monitoring application based on wireless body area networks. 2018 International Conference on Intelligent Systems and Computer Vision (ISCV), 1–4. https://doi.org/10.1109/ISACV.2018.8354042
Baig, M. M., GholamHosseini, H., Moqeem, A. A., Mirza, F., & Lindén, M. (2017). A systematic review of wearable patient monitoring systems – Current challenges and opportunities for clinical adoption. Journal of Medical Systems, 41(7). https://doi.org/10.1007/s10916-017-0760-1
Baker, S., Xiang, W., & Atkinson, I. (2017). Internet of Things for smart healthcare: Technologies, challenges, and opportunities. IEEE Access. https://doi.org/10.1109/ACCESS.2017.2775180
Bandyopadhyay, A. S., Singh, A. K., Sharma, S. K., & Das, R. (2022). MediFi: An IoT based wireless and portable system for patient’s healthcare monitoring. II(3), 30–33.
Ben, H. H., Ayari, N., & Hamdi, B. (2020). A home hospitalization system based on the Internet of Things, fog computing and cloud computing. Informatics in Medicine Unlocked, 20, 100368. https://doi.org/10.1016/j.imu.2020.100368