Investigating the Benefits of 5g to Leverage the Digital Transformation in Healthcare: A Systematic Review on Personalized Diabetes Self-Management
Author:
Nilashini Ayesha,Wickramasinghe Nilmini
Abstract
This systematic literature review explores the innovative potential of 5G technology in global healthcare, focusing on personalized diabetes self-management. The COVID-19 pandemic increased the adoption of digital solutions related to health, creating new opportunities. This review examines the role of 5G technology in overcoming the specific challenges associated with diabetes self-care, emphasizing its vital features, such as low latency and high reliability, enabling real-time data transmission and remote monitoring for improving patient care. Adhering to PRISMA guidelines, it synthesizes findings from reliable databases, exploring 5G's diverse influence. Key research questions include its contribution to healthcare digital transformation, SWOT analysis in diabetes management, challenges in various diabetes types, and its role in designing digital solutions. Findings reveal significant advancements, such as increased data transmission speeds, supporting real-time remote patient monitoring and telemedicine. A proposed framework guides digital solution development, highlighting future research areas and implementation challenges, emphasizing the need to fully employ 5G's potential features in healthcare.
Publisher
University of Maribor Press
Reference47 articles.
1. Aliberti, G. M., Bhatia, R., Desrochers, L. B., Gilliam, E. A., & Schonberg, M. A. (2022). Perspectives of primary care clinicians in Massachusetts on use of telemedicine with adults aged 65 and older during the COVID-19 pandemic [Article]. Preventive Medicine Reports, 26, Article 101729. https://doi.org/10.1016/j.pmedr.2022.101729 2. Alqudah, A., McMullan, P., Todd, A., O'Doherty, C., McVey, A., McConnell, M., O'Donoghue, J., Gallagher, J., Watson, C. J., & McClements, L. (2019). Service evaluation of diabetes management during pregnancy in a regional maternity hospital: potential scope for increased self-management and remote patient monitoring through mHealth solutions. BMC health services research, 19(1), 662. https://doi.org/https://dx.doi.org/10.1186/s12913-019-4471-9 3. Ames, J. L., Massolo, M. L., Davignon, M. N., Qian, Y., & Croen, L. A. (2021). Healthcare service utilization and cost among transition-age youth with autism spectrum disorder and other special healthcare needs. Autism: The International Journal of Research & Practice, 25(3), 705-718. https://doi.org/10.1177/1362361320931268 4. Bertsimas, D., Kallus, N., Weinstein, A. M., Ying Daisy, Z., & Zhuo, Y. D. (2017). Personalized Diabetes Management Using Electronic Medical Records. Diabetes care, 40(2), 210-217. https://doi.org/10.2337/dc16-0826 5. Blonde, L., Umpierrez, G. E., Reddy, S. S., McGill, J. B., Berga, S. L., Bush, M., Chandrasekaran, S., DeFronzo, R. A., Einhorn, D., Galindo, R. J., Gardner, T. W., Garg, R., Garvey, W. T., Hirsch, I. B., Hurley, D. L., Izuora, K., Kosiborod, M., Olson, D., Patel, S. B., Pop-Busui, R., Sadhu, A. R., Samson, S. L., Stec, C., Tamborlane, W. V., Tuttle, K. R., Twining, C., Vella, A., Vellanki, P., & Weber, S. L. (2022). American Association of Clinical Endocrinology Clinical Practice Guideline: Developing a Diabetes Mellitus Comprehensive Care Plan-2022 Update [Article]. Endocrine Practice, 28(10), 923-1049. https://doi.org/10.1016/j.eprac.2022.08.002
|
|