Volume 9, Issue 7 (July 2022), Pages: 122-138
----------------------------------------------
Review Paper
Impact of telecommunication network on future of telemedicine in healthcare: A systematic literature review
Author(s): Naeem A. Nawaz 1, *, Adnan Abid 2, Saim Rasheed 3, Muhammad Shoaib Farooq 2, Anam Shahzadi 2, Iqra Mubarik 2
Affiliation(s):
1Department of Computer Science, Umm AL-Qura University, Makkah, Saudi Arabia
2Department of Computer Science, School of System and Technology, University of Management and Technology, Lahore, Pakistan
3Department of Information Technology, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia
Full Text - PDF XML
* Corresponding Author.
Corresponding author's ORCID profile: https://orcid.org/0000-0002-3407-2630
Digital Object Identifier:
https://doi.org/10.21833/ijaas.2022.07.013
Abstract:
Telemedicine is a combination of networking technologies and clinical data. The implementation of telemedicine has enhanced the regional distribution of resources, decreased the workforce of personnel, and shortened the space between healthcare staff and patients. Typically, the specialist doctors are settled and offer their services only in large urban areas. It is pertinent to reduce the imbalance of medical resources between urban and rural areas. The advent of telemedicine has the potential to address this issue. However, current telemedicine has its limitations in terms of data transfer and thus struggles to offer low latency in real-time applications. The recent developments in communication systems offer 5G and above connectivity. This study aims to analyze and synthesize the role of telecommunication networks for potential developments in the field of telemedicine. To this end, a systematic literature review has been conducted to address well-defined research questions. These questions aim to understand the working, flow, scope, and framework of the research area. This review provides an overview of telemedicine, the 5G-based telemedicine framework, and its comparison with the current system. It also discusses how the fast communication network (i.e., 5G and beyond 5G) with devices operating at low latency can revolutionize the healthcare system. Furthermore, a framework for future telemedicine has been provided along with potential application domains. Lastly, challenges and future directions beyond 5G have also been presented.
© 2022 The Authors. Published by IASE.
This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: Telemedicine, Future telecommunication, Network, Impact, Healthcare
Article History: Received 19 December 2021, Received in revised form 7 April 2022, Accepted 21 April 2022
Acknowledgment
No Acknowledgment.
Compliance with ethical standards
Conflict of interest: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Citation:
Nawaz NA, Abid A, and Rasheed S et al. (2022). Impact of telecommunication network on future of telemedicine in healthcare: A systematic literature review. International Journal of Advanced and Applied Sciences, 9(7): 122-138
Permanent Link to this page
Figures
Fig. 1 Fig. 2 Fig. 3 Fig. 4 Fig. 5 Fig. 6 Fig. 7 Fig. 8 Fig. 9 Fig. 10 Fig. 11
Tables
Table 1 Table 2 Table 3 Table 4 Table 5
----------------------------------------------
References (54)
- Aceto G, Persico V, and Pescapé A (2020). Industry 4.0 and health: Internet of things, big data, and cloud computing for healthcare 4.0. Journal of Industrial Information Integration, 18: 100129. https://doi.org/10.1016/j.jii.2020.100129 [Google Scholar]
- Acharya D, Kumar V, and Han HJ (2012). Performance evaluation of data intensive mobile healthcare test-bed in a 4G environment. In the 2nd ACM international workshop on Pervasive Wireless Healthcare, Association for Computing Machinery, Hilton Head, USA: 21-26. https://doi.org/10.1145/2248341.2248353 [Google Scholar] PMid:22057810
- Adebusola JA, Ariyo AA, Elisha OA, Olubunmi AM, and Julius OO (2020). An overview of 5G technology. In the International Conference in Mathematics, Computer Engineering and Computer Science, IEEE, Ayobo, Nigeria: 1-4. https://doi.org/10.1109/ICMCECS47690.2020.240853 [Google Scholar]
- Ahad A, Tahir M, and Yau KLA (2019). 5G-based smart healthcare network: Architecture, taxonomy, challenges and future research directions. IEEE Access, 7: 100747-100762. https://doi.org/10.1109/ACCESS.2019.2930628 [Google Scholar]
- Amuomo N (2020). The evolution of GSM technologies into 5G and the imminent emergence of transformative telemedicine applications: A review. East African Journal of Information Technology, 2(1): 8-16. https://doi.org/10.37284/eajit.2.1.131 [Google Scholar]
- Ancans G, Bobrovs V, Ancans A, and Kalibatiene D (2017). Spectrum considerations for 5G mobile communication systems. Procedia Computer Science, 104: 509-516. https://doi.org/10.1016/j.procs.2017.01.166 [Google Scholar]
- Anwar S and Prasad R (2018). Framework for future telemedicine planning and infrastructure using 5G technology. Wireless Personal Communications, 100(1): 193-208. https://doi.org/10.1007/s11277-018-5622-8 [Google Scholar]
- Aziz O, Farooq MS, Abid A, Saher R, and Aslam N (2020). Research trends in enterprise service bus (ESB) applications: A systematic mapping study. IEEE Access, 8: 31180-31197. https://doi.org/10.1109/ACCESS.2020.2972195 [Google Scholar]
- Camps-Mur D, Gutierrez J, Grass E, Tzanakaki A, Flegkas P, Choumas K, and Simeonidou D (2019). 5G-XHaul: A novel wireless-optical SDN transport network to support joint 5G backhaul and fronthaul services. IEEE Communications Magazine, 57(7): 99-105. https://doi.org/10.1109/MCOM.2019.1800836 [Google Scholar]
- Dananjayan S and Raj GM (2021). 5G in healthcare: How fast will be the transformation? Irish Journal of Medical Science (1971-), 190(2): 497-501. https://doi.org/10.1007/s11845-020-02329-w [Google Scholar] PMid:32737688
- Doargajudhur MS and Dell P (2020). The effect of bring your own device (BYOD) adoption on work performance and motivation. Journal of Computer Information Systems, 60(6): 518-529. https://doi.org/10.1080/08874417.2018.1543001 [Google Scholar]
- Donati M, Celli A, Ruiu A, Saponara S, and Fanucci L (2019). A telemedicine service system exploiting bt/ble wireless sensors for remote management of chronic patients. Technologies, 7(1): 13. https://doi.org/10.3390/technologies7010013 [Google Scholar]
- Farooq MO, Sreenan CJ, and Brown KN (2016). Research challenges in 5G networks: A HetNets perspective. In the Conference on Innovations in Clouds, Internet and Networks, IFIP Open Digital Library, Paris, France: 177-183. [Google Scholar]
- Farooq MS, Riaz S, Abid A, Abid K, and Naeem MA (2019). A survey on the Role of IoT in agriculture for the implementation of smart farming. IEEE Access, 7: 156237-156271. https://doi.org/10.1109/ACCESS.2019.2949703 [Google Scholar]
- Farooq U, Rahim MSM, Sabir N, Hussain A, and Abid A (2021). Advances in machine translation for sign language: Approaches, limitations, and challenges. Neural Computing and Applications, 33(21): 14357-14399. https://doi.org/10.1007/s00521-021-06079-3 [Google Scholar]
- Gupta R, Tanwar S, Tyagi S, and Kumar N (2019). Tactile-internet-based telesurgery system for healthcare 4.0: An architecture, research challenges, and future directions. IEEE Network, 33(6): 22-29. https://doi.org/10.1109/MNET.001.1900063 [Google Scholar]
- Habibi MA, Nasimi M, Han B, and Schotten HD (2019). A comprehensive survey of RAN architectures toward 5G mobile communication system. IEEE Access, 7: 70371-70421. https://doi.org/10.1109/ACCESS.2019.2919657 [Google Scholar]
- Haider D, Ren A, Fan D, Zhao N, Yang X, Tanoli SAK, and Abbasi QH (2018). Utilizing a 5G spectrum for health care to detect the tremors and breathing activity for multiple sclerosis. Transactions on Emerging Telecommunications Technologies, 29(10): e3454. https://doi.org/10.1002/ett.3454 [Google Scholar]
- Hong Z, Li N, Li D, Li J, Li B, Xiong W, and Zhou D (2020). Telemedicine during the COVID-19 pandemic: Experiences from Western China. Journal of Medical Internet Research, 22(5): e19577. https://doi.org/10.2196/19577 [Google Scholar] PMid:32349962 PMCid:PMC7212818
- Ishaq K, Zin NAM, Rosdi F, Jehanghir M, Ishaq S, and Abid A (2021). Mobile-assisted and gamification-based language learning: A systematic literature review. PeerJ Computer Science, 7: e496. https://doi.org/10.7717/peerj-cs.496 [Google Scholar] PMid:34084920 PMCid:PMC8157183
- Khan ZF and Alotaibi SR (2020). Applications of artificial intelligence and big data analytics in m-health: A healthcare system perspective. Journal of healthcare engineering, 2020: 8894694. https://doi.org/10.1155/2020/8894694 [Google Scholar] PMid:32952992 PMCid:PMC7481991
- Kitindi EJ, Fu S, Jia Y, Kabir A, and Wang Y (2017). Wireless network virtualization with SDN and C-RAN for 5G networks: Requirements, opportunities, and challenges. IEEE Access, 5: 19099-19115. https://doi.org/10.1109/ACCESS.2017.2744672 [Google Scholar]
- Langford AT, Roberts T, Gupta J, Orellana KT, and Loeb S (2020). Impact of the internet on patient-physician communication. European Urology Focus, 6(3): 440-444. https://doi.org/10.1016/j.euf.2019.09.012 [Google Scholar] PMid:31582312
- Latif S, Qadir J, Farooq S, and Imran MA (2017). How 5G wireless (and concomitant technologies) will revolutionize healthcare? Future Internet, 9(4): 93. https://doi.org/10.3390/fi9040093 [Google Scholar]
- Leite H, Hodgkinson IR, and Gruber T (2020). New development: ‘Healing at a distance’-Telemedicine and COVID-19. Public Money and Management, 40(6): 483-485. https://doi.org/10.1080/09540962.2020.1748855 [Google Scholar]
- Li D (2019). 5G and intelligence medicine-How the next generation of wireless technology will reconstruct healthcare? Precision Clinical Medicine, 2(4): 205-208. https://doi.org/10.1093/pcmedi/pbz020 [Google Scholar] PMid:31886033 PMCid:PMC6927096
- Lilly CM, Zubrow MT, Kempner KM, Reynolds HN, Subramanian S, Eriksson EA, and Kopec IC (2014). Critical care telemedicine: Evolution and state of the art. Critical Care Medicine, 42(11): 2429-2436. https://doi.org/10.1097/CCM.0000000000000539 [Google Scholar] PMid:25080052
- Lin TW and Hsu CL (2021). FAIDM for medical privacy protection in 5G telemedicine systems. Applied Sciences, 11(3): 1155. https://doi.org/10.3390/app11031155 [Google Scholar]
- Lindkvist C, Salaj AT, Collins D, Bjørberg S, and Haugen TB (2021). Exploring urban facilities management approaches to increase connectivity in smart cities. Facilities, 39(½): 96-112. https://doi.org/10.1108/F-08-2019-0095 [Google Scholar]
- Magsi H, Sodhro AH, Chachar FA, Abro SAK, Sodhro GH, and Pirbhulal S (2018). Evolution of 5G in Internet of medical things. In the international conference on computing, mathematics and engineering technologies (iCoMET), IEEE, Sukkur, Pakistan: 1-7. https://doi.org/10.1109/ICOMET.2018.8346428 [Google Scholar]
- Malasinghe LP, Ramzan N, and Dahal K (2019). Remote patient monitoring: A comprehensive study. Journal of Ambient Intelligence and Humanized Computing, 10(1): 57-76. https://doi.org/10.1007/s12652-017-0598-x [Google Scholar]
- Mazaheri MH, Ameli S, Abedi A, and Abari O (2019). A millimeter wave network for billions of things. In the ACM Special Interest Group on Data Communication, Association for Computing Machinery, Beijing, China: 174-186. https://doi.org/10.1145/3341302.3342068 [Google Scholar]
- Murudkar CV and Gitlin RD (2019). Optimal-capacity, shortest path routing in self-organizing 5G networks using machine learning. In the IEEE 20th Wireless and Microwave Technology Conference (WAMICON), IEEE, Cocoa Beach, USA: 1-5. https://doi.org/10.1109/WAMICON.2019.8765434 [Google Scholar]
- Naeem A, Farooq MS, Khelifi A, and Abid A (2020). Malignant melanoma classification using deep learning: Datasets, performance measurements, challenges and opportunities. IEEE Access, 8: 110575-110597. https://doi.org/10.1109/ACCESS.2020.3001507 [Google Scholar]
- Nguyen LD (2018). Resource allocation for energy efficiency in 5G wireless networks. EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, 5(14): 1-7. https://doi.org/10.4108/eai.27-6-2018.154832 [Google Scholar]
- Park J, Samarakoon S, Bennis M, and Debbah M (2019). Wireless network intelligence at the edge. Proceedings of the IEEE, 107(11): 2204-2239. https://doi.org/10.1109/JPROC.2019.2941458 [Google Scholar]
- Plata-Chaves J, Bertrand A, Moonen M, Theodoridis S, and Zoubir AM (2017). Heterogeneous and multitask wireless sensor networks-Algorithms, applications, and challenges. IEEE Journal of Selected Topics in Signal Processing, 11(3): 450-465. https://doi.org/10.1109/JSTSP.2017.2676468 [Google Scholar]
- Rappaport TS, Xing Y, Kanhere O, Ju S, Madanayake A, Mandal S, and Trichopoulos GC (2019). Wireless communications and applications above 100 GHz: Opportunities and challenges for 6G and beyond. IEEE Access, 7: 78729-78757. https://doi.org/10.1109/ACCESS.2019.2921522 [Google Scholar]
- Rosalia RA, Wahba K, and Milevska-Kostova N (2021). How digital transformation can help achieve value-based healthcare: Balkans as a case in point. The Lancet Regional Health–Europe, 4: 100100. https://doi.org/10.1016/j.lanepe.2021.100100 [Google Scholar] PMid:34557815 PMCid:PMC8454639
- Saad W, Bennis M, and Chen M (2019). A vision of 6G wireless systems: Applications, trends, technologies, and open research problems. IEEE Network, 34(3): 134-142. https://doi.org/10.1109/MNET.001.1900287 [Google Scholar]
- Sakaguchi K, Tran GK, Shimodaira H, Nanba S, Sakurai T, Takinami K, and Haustein T (2015). Millimeter-wave evolution for 5G cellular networks. IEICE Transactions on Communications, 98(3): 388-402. https://doi.org/10.1587/transcom.E98.B.388 [Google Scholar]
- Soares WB, Silvestre IT, Lima AMDO, and De Almondes KM (2020). The influence of telemedicine care on the management of behavioral and psychological symptoms in dementia (BPSD) risk factors induced or exacerbated during the COVID-19 pandemic. Frontiers in Psychiatry, 11: 577629. https://doi.org/10.3389/fpsyt.2020.577629 [Google Scholar] PMid:33101090 PMCid:PMC7522194
- Sodhro AH and Shah MA (2017). Role of 5G in medical health. In the International Conference on Innovations in Electrical Engineering and Computational Technologies, IEEE, Karachi, Pakistan: 1-5. https://doi.org/10.1109/ICIEECT.2017.7916586 [Google Scholar]
- Spencer T, Noyes E, and Biederman J (2020). Telemedicine in the management of ADHD: Literature review of telemedicine in ADHD. Journal of Attention Disorders, 24(1): 3-9. https://doi.org/10.1177/1087054719859081 [Google Scholar] PMid:31257978
- Theodoridis S (2015). Machine learning: A Bayesian and optimization perspective. Academic Press, Cambridge, USA. https://doi.org/10.1016/B978-0-12-801522-3.00012-4 [Google Scholar]
- Thuemmler C, Rolffs C, Bollmann A, Hindricks G, and Buchanan W (2018). Requirements for 5G based telemetric cardiac monitoring. In the 14th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), IEEE, Limassol, Cyprus: 1-4. https://doi.org/10.1109/WiMOB.2018.8589139 [Google Scholar]
- Tian W (2020). Exploration and prospect of 5G application in telemedicine. Zhonghua wai ke za zhi [Chinese Journal of Surgery], 58(1): 1-4. [Google Scholar]
- Ullah H, Nair NG, Moore A, Nugent C, Muschamp P, and Cuevas M (2019). 5G communication: An overview of vehicle-to-everything, drones, and healthcare use-cases. IEEE Access, 7: 37251-37268. https://doi.org/10.1109/ACCESS.2019.2905347 [Google Scholar]
- Vij S and Jain A (2016). 5G: Evolution of a secure mobile technology. In the 3rd International Conference on Computing for Sustainable Global Development (INDIACom), IEEE, New Delhi, India: 2192-2196. [Google Scholar]
- Wang M, Li D, Shang X, and Wang J (2020). A review of computer‐assisted orthopaedic surgery systems. The International Journal of Medical Robotics and Computer Assisted Surgery, 16(5): 1-28. https://doi.org/10.1002/rcs.2118 [Google Scholar]
- Xu J, Wang J, Zhu Y, Yang Y, Zheng X, Wang S, and Teng Y (2014). Cooperative distributed optimization for the hyper-dense small cell deployment. IEEE Communications Magazine, 52(5): 61-67. https://doi.org/10.1109/MCOM.2014.6815894 [Google Scholar]
- Yaacoub E and Alouini MS (2019). A key 6G challenge and opportunity-Connecting the remaining 4 billions: A survey on rural connectivity. https://doi.org/10.36227/techrxiv.10253336.v1 [Google Scholar]
- Zhang YT and Pickwell-Macpherson E (2019). 5G-based mHealth bringing healthcare convergence to reality. IEEE Reviews in Biomedical Engineering, 12: 2-3. https://doi.org/10.1109/RBME.2019.2894481 [Google Scholar]
- Zhang Z, Xiao Y, Ma Z, Xiao M, Ding Z, Lei X, and Fan P (2019). 6G wireless networks: Vision, requirements, architecture, and key technologies. IEEE Vehicular Technology Magazine, 14(3): 28-41. https://doi.org/10.1007/978-3-030-01150-5 [Google Scholar]
|