Abstract
Diabetes, a chronic ailment requiring ongoing care and monitoring, has undergone a healthcare shift thanks to the Internet of Things (IoT). Real-time monitoring, individualized treatment plans, and improved patient-provider communication are all features of IoT-based mobile health solutions. This study explores the components, functionalities, benefits, and disadvantages of IoT-based mobile health systems for the management of diabetes. It investigates wearable sensors, smartphone apps, and linked devices like glucose meter and monitors, placing a focus on their precision, dependability, and usability. The study explores data analytics techniques that allow for customized advice and actions. Patients can effectively control their diabetes with the use of individualized treatments and real-time monitoring. The research also looks into the data analytical methods used in IoT-based mobile health systems for the treatment of diabetes. IoT-based mobile health system issues and implications are also covered. These include issues with data security and privacy, platform and device compatibility, standardization of data formats, and ensuring that all people with diabetes have equal access to technology. Healthcare workers, academics, and policymakers may learn more about the potential of IoT-based mobile health systems to revolutionize diabetes treatment through this thorough assessment.
F. Ashfaq and M. Hussain—Contributing authors.
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Acknowledgment:
This work is funded by national funds through FCT - Foundation for Science and Technology, I.P., under project UIDP/04019/2020.
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Ashfaq, F., Ahad, A., Hussain, M., Madeira, F. (2024). Transforming Diabetes Care: A Review of IoT-Based Mobile Health Systems. In: Ferraro, V., Covarrubias, M., Zdravevski, E., Pires, I.M., Marques Martins de Almeida, J.M., Gonçalves, N.J. (eds) IoT Technologies and Wearables for HealthCare. HealthyIoT icwh 2023 2023. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 530. Springer, Cham. https://doi.org/10.1007/978-3-031-71911-0_2
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