5G IN HEALTHCARE FOR TELEMEDICINE

Bhawana Kalra; Deepak Kumar; Shiafali Sharma

doi:10.61841/t91qqz36

Authors

Bhawana Kalra Assistant Professor, Electronics & Communication Engineering, Arya Institute of Engineering and Technology Author
Deepak Kumar Assistant Professor, Electrical Engineering, Arya Institute of Engineering Technology & Management Author
Shiafali Sharma Assistant Professor, Department of Pharmacy, Arya Institute of Engineering Technology & Management Author

DOI:

https://doi.org/10.61841/t91qqz36

Keywords:

Healthcare, telemedicine, high-speed connectivity, low-latency, remote diagnostics, patient care, medical data transmission

Abstract

With advances in 5G technology, telemedicine is at the forefront of the changing healthcare landscape. This abstract clarifies the transformational impact of 5G in facilitating telemedicine, transforming patient care, and removing geographic barriers to deliver more convenient and quality healthcare services. The advent of 5G technology offers unprecedented potential in terms of high speed, seamless connectivity, and data transmission. These developments are a cornerstone for the advancement of telemedicine, overcoming the limitations of traditional healthcare delivery through real-time video consultation, remote assessment, and patient monitoring interacting with each other. This paper covers several aspects of telemedicine enabled by 5G. It explores the convenience of high-speed connectivity for seamless and immersive doctor-patient communication, ensuring timely access to health information regardless of geographic barriers The low latency characteristics of 5G enable real-time communication of medical data, increasing diagnostic accuracy, and enabling remote surgery and interventions. Additionally, the integration of 5G into telemedicine opens the door to new healthcare applications, including augmented reality (AR) and virtual reality (VR) experiences, and enables the medical industry to deliver interactive tools training, surgical planning, and patient education. But while the prospects for remote 5G-enabled medicine are promising, challenges remain. Issues around data privacy, security, compliance, and precise use of technology require careful consideration and effective solutions to ensure ethical and responsible use. In conclusion, the integration of 5G technology into telemedicine heralds a transformational era in healthcare. It is accelerating the growth of peripheral health services, improving outcomes among patients, reducing health disparities, and creating a future in which individuals have access to comprehensive, high-quality health care that increases regardless of location.

Downloads

Download data is not yet available.

References

1. Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M., & Ayyash, M. (2015). Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications. IEEE Communications Surveys & Tutorials, 17(4), 2347-2376.

2. Atzori, L., Iera, A., & Morabito, G. (2010). The Internet of Things: A survey. Computer Networks, 54(15), 2787-2805.

3. Botta, A., de Donato, W., Persico, V., & Pescapé, A. (2016). Integration of cloud computing and Internet of Things: A survey. Future Generation Computer Systems, 56, 684-700.

4. Gubbi, J., Buyya, R., Marusic, S., & Palaniswami, M. (2013). Internet of Things (IoT): A vision, architectural elements, and future directions. Future Generation Computer Systems, 29(7), 1645-1660.

5. Lin, J., Yu, W., Zhang, N., Yang, X., Zhang, H., & Zhao, W. (2017). A survey on Internet of Things: Architecture, enabling technologies, security and privacy, and applications. IEEE Internet of Things Journal, 4(5), 1125-1142.

6. Miorandi, D., Sicari, S., De Pellegrini, F., & Chlamtac, I. (2012). Internet of Things: Vision, applications and research challenges. Ad Hoc Networks, 10(7), 1497-1516.

7. Ray, P. P. (2016). A survey on Internet of Things architectures. Journal of King Saud University-Computer and Information Sciences.

8. Shi, W., Cao, J., Zhang, Q., Li, Y., & Xu, L. (2011). Edge computing: Vision and challenges. IEEE Internet of Things Journal, 3(5), 637-646.

9. Shrouf, F., Ordieres, J., & Miragliotta, G. (2014). Smart factories in Industry 4.0: A review of the concept and of energy management approached in production based on the Internet of Things paradigm. IEEE Industrial Electronics Magazine, 8(1), 13-21.

10. Stankovic, J. A. (2014). Research directions for the Internet of Things. IEEE Internet of Things Journal, 1(1), 3-9.

11. Vermesan, O., & Friess, P. (Eds.). (2014). Internet of Things: Converging Technologies for Smart Environments and Integrated Ecosystems. River Publishers.

12. Wang, S., Zhang, Y., Zhang, C., & Sun, X. (2014). Mobile healthcare systems based on Internet of Things: A survey. Information Technology and Control, 43(3), 233-248.

13. Whitmore, A., Agarwal, A., & Da Xu, L. (2015). The Internet of Things—A survey of topics and trends. Information Systems Frontiers, 17(2), 261-274.

14. Yan, Z., Zhang, P., & Vasilakos, A. V. (2014). A survey on trust management for Internet of Things. Journal of Network and Computer Applications, 42, 120-134.

15. Zanella, A., Bui, N., Castellani, A., Vangelista, L., & Zorzi, M. (2014). Internet of Things for smart cities. IEEE Internet of Things Journal, 1(1), 22-32.

16. Nag, M., Lamba, M., Singh, K., & Kumar, A. (2020). Modelling and simulation of MEMS graphene pressure sensor for healthcare devices. In Proceedings of International Conference in Mechanical and Energy Technology: ICMET 2019, India (pp. 607-612). Springer Singapore

17. R. K. Kaushik Anjali and D. Sharma, "Analyzing the Effect of Partial Shading on Performance of Grid Connected Solar PV System", 2018 3rd International Conference and Workshops on Recent Advances and Innovations in Engineering (ICRAIE), pp. 1-4, 2018.