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IoT-Driven Smart Healthcare: Current Trends, Future Prospects, Applications, and Challenges

Authors

Diksha Agarwal

1, 2 Master of Computer Applications Department (Ph.D Research Center of Bikaner Technical University), 1, 2 Engineering College Bikaner (A Constituent College of Bikaner Technical University), (IN)

Dr. Sanjay Tejasvee

1, 2 Master of Computer Applications Department (Ph.D Research Center of Bikaner Technical University), 1, 2 Engineering College Bikaner (A Constituent College of Bikaner Technical University), (IN)

Article Information

DOI: 10.51583/IJLTEMAS.2025.140300046

Subject Category: Computer application

Volume/Issue: 14/3 | Page No: 417-420

Publication Timeline

Submitted: 2025-04-17

Published: 2025-04-17

Abstract

Abstract: IoT (Interent of Things) driven smart healthcare is transforming patient care through connected devices and real-time data. The evidence leans toward applications like remote monitoring and telemedicine, but challenges such as data security and cost remain significant. An unexpected detail is the potential for IoT to bridge global health equity gaps, particularly in underserved regions .Current trends include remote patient monitoring and smart hospitals. Telemedicine is expanding, connecting patients with providers virtually. Future prospects involve personalized medicine and. Blockchain (BChain) and Artificial intelligence (AI) could enhance data security, while ambient intelligence improves care. It seems likely that future prospects include personalized medicine and advanced networks like 5G/6G, enhancing global health access.  However there are lot things related to IoT for smart healthcare, but this paper exploring topics around technologies, challenges, and opportunities.

Keywords

IoT, Smart Healthcare, Telemedicine, BChain, , AI, 5G/6G.

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References

1. Khan, M. A., & Salah, K. (2020). IoT security: Review, blockchain solutions, and open challenges. Future Generation Computer Systems, 82, 395-411. [Google Scholar] [Crossref]

2. Grand View Research. (2023). Remote Patient Monitoring Market Size, Share & Trends Analysis Report. Retrieved from [market research database [Google Scholar] [Crossref]

3. Amiens Picardy University Hospital. (2022). 3P-U Project: Predictive Analytics in Healthcare Operations. Internal Report. [Google Scholar] [Crossref]

4. Farahani, B., Firouzi, F., & Chang, V. (2021). Towards fog-driven IoT eHealth: Promises and challenges of IoT in medicine and healthcare. Future Generation Computer Systems, 78, 659-676. [Google Scholar] [Crossref]

5. Li, D. (2021). 5G and intelligence medicine—How the next generation of wireless technology will reconstruct healthcare? Precision Clinical Medicine, 4(3), 205-208. [Google Scholar] [Crossref]

6. Dexcom, Inc. (2023). Continuous Glucose Monitoring System: Technical Specifications and User Impact Study. [Google Scholar] [Crossref]

7. Chen, Y., & Yang, L. (2022). AI-enhanced IoT for Parkinson’s disease management: A gait improvement study. Journal of Medical Internet Research, 24(6), e38912. [Google Scholar] [Crossref]

8. Al-Turjman, F., & Alturjman, S. (2020). IoT-based smart hospital: Architecture, challenges, and solutions. IEEE Access, 8, 145780-145791. [Google Scholar] [Crossref]

9. Javaid, M., & Khan, I. H. (2021). Internet of Things (IoT) enabled healthcare helps to take the challenges of COVID-19 pandemic. Journal of Oral Biology and Craniofacial Research, 11(2), 209-214. [Google Scholar] [Crossref]

10. Maskeliūnas, R., & Damaševičius, R. (2021). Ambient intelligence-based smart home solutions for elderly care using IoT. Sensors, 21(14), 4748. [Google Scholar] [Crossref]

11. Chamola, V., & Hassija, V. (2020). A comprehensive review of the COVID-19 pandemic and the role of IoT, drones, AI, blockchain, and 5G in managing its impact. IEEE Access, 8, 90225-90265. [Google Scholar] [Crossref]

12. Topol, E. J. (2019). High-performance medicine: The convergence of human and artificial intelligence. Nature Medicine, 25(1), 44-56. [Google Scholar] [Crossref]

13. Hölbl, M., & Kompara, M. (2020). A systematic review of the use of blockchain in healthcare. Symmetry, 12(10), 1706. [Google Scholar] [Crossref]

14. Akyildiz, I. F., & Jornet, J. M. (2020). The Internet of Nano-Things. IEEE Wireless Communications, 17(6), 58-63. [Google Scholar] [Crossref]

15. United Nations. (2023). Smart Cities and Healthcare: Policy Recommendations for Sustainable Development Goals. [Google Scholar] [Crossref]

16. Raghupathi, W., & Raghupathi, V. (2021). An overview of IoT in healthcare: Sustainability and cost perspectives. Healthcare Informatics Research, 27(4), 245-254. [Google Scholar] [Crossref]

17. Alaba, F. A., & Othman, M. (2020). Internet of Things security: A survey. Journal of Network and Computer Applications, 88, 10-28. [Google Scholar] [Crossref]

18. Islam, S. M. R., & Kwak, D. (2020). The IoT for healthcare: A comprehensive survey. IEEE Access, 3, 678-708. [Google Scholar] [Crossref]

19. Al-Fuqaha, A., & Guizani, M. (2021). Internet of Things: A survey on enabling technologies, protocols, and applications. IEEE Communications Surveys & Tutorials, 17(4), 2347-2376. [Google Scholar] [Crossref]

20. Yaqoob, I., & Ahmed, E. (2020). Big data analytics in healthcare: Challenges and opportunities. Future Generation Computer Systems, 98, 433-447. [Google Scholar] [Crossref]

21. Kruse, C. S., & Krowski, N. (2021). Barriers to adopting IoT in healthcare: A systematic review. Healthcare, 9(11), 1488. [Google Scholar] [Crossref]

22. MarketsandMarkets. (2023). IoT in Healthcare Market: Global Forecast to 2028. Retrieved from [market research database]. [Google Scholar] [Crossref]

23. World Health Organization. (2024). Digital Health in Emerging Markets: Opportunities and Challenges. [Google Scholar] [Crossref]

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