A Smart Healthcare Information System for Chronic Disease Management Using IoT-Enabled Wearables and Cloud-Based Analytics
Keywords:
Smart Healthcare, Chronic Disease Management, IoT, Wearables, Cloud Computing, Health Monitoring, Big Data Analytics, mHealth, Remote Patient Monitoring, Predictive AnalyticsAbstract
Chronic diseases such as diabetes, cardiovascular disorders, and respiratory illnesses require continuous health monitoring and personalized intervention. This paper presents a Smart Healthcare Information System (SHIS) that integrates IoT-enabled wearable sensors with cloud-based analytics to deliver real-time chronic disease management. The system enables seamless collection of physiological data, cloud-based storage, and intelligent analysis through machine learning models. The proposed framework enhances proactive care, reduces hospital readmissions, and empowers patients and clinicians with actionable insights. A prototype implementation demonstrates significant improvements in accuracy, responsiveness, and user satisfaction, making the solution scalable and effective for personalized chronic care management.
References
Hassanalieragh, M. et al. (2015). Health monitoring using IoT and cloud processing. IEEE.
Jagadeeswari, V. et al. (2018). IoT and Big Data in Personalized Healthcare. Springer.
Verma, P. & Sood, S.K. (2018). Cloud-centric diagnosis using IoT data. Elsevier.
Alamri, A. (2019). Chronic disease prediction via big data in the cloud. IEEE.
Yacchirema, D.C. et al. (2018). IoT-enabled sleep apnea monitoring. IEEE.
Sharma, S. et al. (2018). Privacy in IoT-cloud healthcare systems. IEEE Internet Computing.
Chouvarda, I. et al. (2015). Connected health for chronic care. Elsevier.
Hussain, M. et al. (2013). Smart CDSS via IoT-cloud integration. Springer.
Kang, M. et al. (2018). Smart IoT patient platforms. PMC.
Alfian, G. et al. (2018). BLE sensors for diabetic monitoring. MDPI Sensors.
Kang, M., Park, E., & Cho, B. H. (2018). Recent patient health monitoring platforms incorporating Internet of Things-enabled smart devices. International Neurourology Journal, 22(Suppl 2), S76–S82.
Syed, L., Jabeen, S., & Alsaeedi, A. (2019). Smart healthcare framework for ambient assisted living using IoMT and big data analytics techniques. Future Generation Computer Systems, 101, 136–151.
Alfian, G., Syafrudin, M., Ijaz, M. F., & Syaekhoni, M. A. (2018). A personalized healthcare monitoring system for diabetic patients by utilizing BLE-based sensors and real-time data processing. Sensors, 18(7), 2183.
Muhammed, T., Mehmood, R., Albeshri, A., & Katib, I. (2018). UbeHealth: A personalized ubiquitous cloud and edge-enabled networked healthcare system for smart cities. IEEE Access, 6, 32258–32285.
Syed, L., Jabeen, S., Manimala, S., & Elsayed, H. A. (2019). Data science algorithms and techniques for smart healthcare using IoT and big data analytics. In Smart Techniques for a Smarter Planet (pp. 169–186).
