IoT-Based Diabetes Management: Advancements and Challenges in Healthcare

Year : 2025 | Volume : 03 | Issue : 01 | Page : 1 7
    By

    Ram Parab,

  • Omkar Sawant,

  1. Research Scholar, MCA, Thakur Institute of Management Studies, Career Development & Research (TIMSC), Mumbai, India
  2. Research Scholar, MCA, Thakur Institute of Management Studies, Career Development & Research (TIMSC), Mumbai, India

Abstract

The integration of the Internet of Things (IoT) into healthcare has revolutionized disease management by enabling real-time monitoring, data analysis, and proactive interventions. This paper explores how IoT applications can significantly enhance diabetes management by providing sustainable and innovative healthcare solutions. Leveraging IoT-enabled devices such as Continuous Glucose Monitoring (CGM) systems, smart wearables, and remote patient monitoring tools, diabetes care can be personalized and made more efficient, reducing long-term complications. The study emphasizes the role of IoT in supporting self-management, reducing dependency on physical consultations, and minimizing environmental and economic costs through smarter healthcare systems. Despite the transformative potential, challenges such as data privacy, security, and interoperability persist. This paper presents a comprehensive review of IoT applications for diabetes management, underlining their importance in achieving sustainable healthcare goals in Viksit Bharat.

Keywords: Internet of Things, IoT, diabetes management, healthcare sustainability, smart healthcare systems.

[This article belongs to International Journal of Optical Innovations & Research ]

How to cite this article:
Ram Parab, Omkar Sawant. IoT-Based Diabetes Management: Advancements and Challenges in Healthcare. International Journal of Optical Innovations & Research. 2025; 03(01):1-7.
How to cite this URL:
Ram Parab, Omkar Sawant. IoT-Based Diabetes Management: Advancements and Challenges in Healthcare. International Journal of Optical Innovations & Research. 2025; 03(01):1-7. Available from: https://journals.stmjournals.com/ijoir/article=2025/view=206790


References

  1. “World Health Organization, Diabetes,” [Online]. Available: https://www.who.int/news-room/fact-sheets/detail/diabetes. [Accessed 16 November 2024].
  2. A. M. Longva and M. Haddara, “How can IoT improve the life quality of diabetes patients?,” MATEC web of conferences, vol. 292, p. 03016, 2019.
  3. S. Deshkar, R. A. Thanseeh and V. G. Menon, “Review on IoT-based m-Health Systems for Diabetes,” International Journal of Computer Science and Telecommunications, vol. 8, pp. 13-18, 2017.
  4. M. U. Ahmed, M. Björkman, A. Čaušević, H. Fotouhi and M. Lindén, “An Overview of the Internet of Things for Health Monitoring Systems,” Internet of Things. IoT Infrastructures: Second International Summit, IoT 360° 2015, Rome, Italy, October 27––29, 2015, Revised Selected Papers, Part I, pp. 429–436, 2016.
  5. E. Årsand, M. Muzny, M. Bradway, J. Muzik and G. Hartvigsen, “Performance of the First Combined Smartwatch and Smartphone Diabetes Diary Application Study,” Journal of diabetes science and technology, vol. 9, pp. 556–563, 2015
  6. V. S. Naresh, S. Reddi and N. V. Murthy, “Secure Lightweight IoT-Integrated Mobile Healthcare System,” Wireless Communications and Mobile Computing, vol. 2020, p. 1468281, 2020.
  7. Albahri AS, Alwan JK, Taha ZK, Ismail SF, Hamid RA, Zaidan AA, Albahri OS, Zaidan BB, Alamoodi AH, Alsalem MA. IoT-based telemedicine for disease prevention and health promotion: State-of-the-Art. Journal of Network and Computer Applications. 2021 Jan 1;173:102873.
  8. Freckmann G, Pleus S, Grady M, Setford S, Levy B. Measures of accuracy for continuous glucose monitoring and blood glucose monitoring devices. Journal of diabetes science and technology. 2019 May;13(3):575–83.
  9. Boikanyo K, Zungeru AM, Sigweni B, Yahya A, Lebekwe C. Remote patient monitoring systems: Applications, architecture, and challenges. Scientific African. 2023 Jul 1;20:e01638.
  10. Landolina, M., Perego, G.B., Lunati, M., Curnis, A., Guenzati, G., Vicentini, A., Parati, G., Borghi, G., Zanaboni, P., Valsecchi, S. and Marzegalli, M., 2012. Remote monitoring reduces healthcare use and improves quality of care in heart failure patients with implantable defibrillators: the evolution of management strategies of heart failure patients with implantable defibrillators (EVOLVO) study. Circulation, 125(24), pp.2985–2992.
  11. Elmi AA, Abdullahi MO, Abdullahi HO. Internet of Things in Telemedicine: A Systematic Review of Current Trends and Future Directions. Instrumentation, Mesure, Metrologie. 2024 Dec 1;23(6):463.
  12. Saini VP, Singh AK, Paul T, Thakur A, Singh M. Advances in environment management for sustainable fisheries & livestock production.

Regular Issue Subscription Review Article
Volume 03
Issue 01
Received 10/03/2025
Accepted 25/03/2025
Published 06/04/2025
Publication Time 27 Days


Login


My IP

PlumX Metrics