Abstract
Telemedicine services are primarily held by large corporations and government agencies. The majority of healthcare providers are now keeping records in order to give services to their patients in the future and to take preventive care. In recent years, communication has become increasingly vital in the delivery of healthcare services. Most healthcare providers are currently experimenting with and integrating the fifth generation (5G) of network and other cutting-edge technologies for communication and on-demand service delivery. India’s rapidly expanding healthcare services necessitated the use of an intelligent telemedicine services system (ITSS) by hospitals, clinics, and everyday practitioners, which will limit healthcare workers’ exposure to suspected viruses, improve reachability, and save time. The Internet of Things (IoT) plays a major role in remote health monitoring, which is effective for patients and service providers. Patients’ health can be monitored regularly and the doctor can supervise their patients remotely on the basis of previous medical records. In this chapter, we will learn about the infrastructure of telemedicine services and remote health monitoring.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
P. Matlani, N. D. Londhe, A cloud computing based telemedicine service. In: 2013 IEEE Point-of-Care Healthcare Technologies (PHT), 2013, pp. 326–330.
Sharma N, Anand A, Husain A. Cloud based healthcare services for telemedicine practices using internet of things. J Crit Rev. 2020;7(14):2605–11.
Freiburger G, Holcomb M, Piper D. The STARPAHC collection: part of an archive of the history of telemedicine. J Telemed Telecare. 2007;13(5):221–3. https://doi.org/10.1258/135763307781458949.
C. O. Rolim, F. L. Koch, C. B. Westphall, J. Werner, A. Fracalossi, G. S. Salvador, A cloud computing solution for patient’s data collection in health care institutions. In: 2010 Second International Conference on eHealth, Telemedicine, and Social Medicine, 2010, pp. 95–99.
Wurm EMT, Hofmann-Wellenhof R, Wurm R, Soyer HP. Telemedicine and teledermatology: Past, present and future. J der Dtsch Dermatologischen Gesellschaft = J Ger Soc Dermatol JDDG. 2008;6(2):106–12. https://doi.org/10.1111/j.1610-0387.2007.06440.x.
Wang Ping, Wang Jin-gang, Shi Xiao-bo, He Wei, The research of telemedicine system based on embedded computer. In: 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 2005, pp. 114–117.
Portnoy J, Waller M, Elliott T. Telemedicine in the Era of COVID-19. J Allergy Clin Immunol Pract. 2020;8(5):1489–91. https://doi.org/10.1016/j.jaip.2020.03.008.
A. Jebrane, N. Meddah, A. Toumanari, M. Bousseta, New real time cloud telemedicine using digital signature algorithm on elliptic curves. In: Advanced information technology, services and systems, 2018, pp. 324–332.
Bashshur R. A Proposed Model for Evaluating Telemedicine. In: Parker L, Olgren C, editors. Teleconferencing and interactive medicine. Madison, WI: University of Wisconsin; 1980.
Bashshur RL, Armstrong PA, Youssef ZI. Telemedicine: Explorations in the use of telecommunications in health care. Springfield, IL: Charles C. Thomas; 1975.
Bashshur R, Lovett J. Assessment of telemedicine: Results of the initial experience. Aviat Space Environ Med. 1977;48:65–70.
Park B, Bashshur R. Some implications of telemedicine. J Commun. 1975;25:161–6. https://doi.org/10.1111/j.1460-2466.1975.tb00619.x.
Bashshur R, Doarn CR, Frenk JM, Kvedar JC, Woolliscroft JO. Telemedicine and the COVID-19 Pandemic, lessons for the future. Telemed e-Health. 2020;26(5):571–3. https://doi.org/10.1089/tmj.2020.29040.rb.
House M, et al. Into Africa: the telemedicine links between Canada, Kenya and Uganda. C Can Med Assoc J = J l’Assoc Med Can. 1987;136(4):398–400.
House AM, Keough EM. Distance health systems—Collaboration brings success: The past, present, and future of telemedicine in Newfoundland. Paper presented at Conference on Information Technology in Community Health; Victoria, BC.. October 1992.
House AM, Roberts JM. Telemedicine in Canada. Can Med Assoc J. 1977;117:386–8.
Benschoter R. Multipurpose television. Ann N Y Acad Sci. 1967;142:471–8.
Menolascino FJ, Osborne RG. Psychiatric television consultation for the mentally retarded. Am J Psychiatry. 1970;127:157–62.
Wittson CL, Affleck DC, Johnson V. Two-way television group therapy. Ment Hosp. 1961;12:22–3.
Wittson CL, Benschoter R. Two-way television: helping the medical center reach out. Am J Psychiatry. 1972;129:136–9.
Dwyer TF. Telepsychiatry: Psychiatric consultation by interactive television. Am J Psychiatry. 1973;130:865–9.
Armstrong PA, Youssef ZI, Bashshur RL. Telemedicine in the United States: A summary of operational programs. In: Bashshur RL, Armstrong PA, Youssef ZI, editors. Telemedicine: Explorations in the use of telecommunications in health care. Springfield, IL: Charles C. Thomas; 1975.
Lovett JE, Bashshur RL. Telemedicine in the USA: An overview. Telecommun Policy\ 1979 Mar;:3–14.
Pool SL, Stonsifer JC, Belasco N. Application of telemedicine systems in future manned space flight. Paper presented at Second Telemedicine Workshop; Tucson, AZ. December 1975
Bashshur R. Technology serves the people: The story of a co-operative telemedicine project by NASA, The Indian Health Service, and the Papago People. Tucson, AZ: The Indian Health Service; 1979.
Fuchs M. Provider attitudes toward STARPAHC: a telemedicine project on the Papago reservation. Med Care. 1979;17(1):59–68. https://doi.org/10.1097/00005650-197901000-00005.
Justice JW, Decker PG. Telemedicine in a rural health delivery system. Adv Biomed Eng. 1979;7:101–71.
C. Kugean, S. M. Krishnan, O. Chutatape, S. Swaminathan, N. Srinivasan, P. Wang, Design of a mobile telemedicine system with wireless LAN. In: Asia-Pacific Conference on Circuits and Systems, vol. 1, 2002, pp. 313–316.
Silfwerbrand E, Verma S, Sjökvist C, Stålsby Lundborg C, Sharma M. Diagnose-specific antibiotic prescribing patterns at otorhinolaryngology inpatient departments of two private sector healthcare facilities in Central India: a five-year observational study. Int J Environ Res Public Health. 2019;16(21) https://doi.org/10.3390/ijerph16214074.
Aldwairi M, Alwahedi A. Detecting fake news in social media networks. Procedia Comput Sci. 2018;141:215–22. https://doi.org/10.1016/j.procs.2018.10.171.
Shi X, Luo X, Shang M, Gu L. Long-term performance of collaborative filtering based recommenders in temporally evolving systems. Neurocomputing. 2017;267:635–43. https://doi.org/10.1016/j.neucom.2017.06.026.
Júnior JG, de Sales JP, Moreira MM, Pinheiro WR, Lima CKT, Neto MLR. A crisis within the crisis: the mental health situation of refugees in the world during the 2019 coronavirus (2019-nCoV) outbreak. Psychiatry Res. 2020;288:113000. https://doi.org/10.1016/j.psychres.2020.113000.
Sarkar K, Khajanchi S, Nieto JJ. Modeling and forecasting the COVID-19 pandemic in India. Chaos Solitons Fract. 2020;139:110049. https://doi.org/10.1016/j.chaos.2020.110049.
Sharma K, Anand A. Determination of COVID-19 relief centers by using Facebook Json data and providing information analysis. Int Res J Eng Technol (IRJET). 2020;7(4):2525–8.
Eisma MC, Boelen PA, Lenferink LIM. Prolonged grief disorder following the Coronavirus (COVID-19) pandemic. Psychiatry Res. 2020;288:113031. https://doi.org/10.1016/j.psychres.2020.113031.
Jin Z, Chen Y. Telemedicine in the cloud era: prospects and challenges. IEEE Pervasive Comput. 2015;14(1):54–61.
Iyengar KP, Jain VK, Vaish A, Vaishya R, Maini L, Lal H. Post COVID-19: planning strategies to resume orthopaedic surgery—challenges and considerations. J Clin Orthop Trauma. 2020;11:S291–5. https://doi.org/10.1016/j.jcot.2020.04.028.
Manupati VK, Ramkumar M, Baba V, Agarwal A. Selection of the best healthcare waste disposal techniques during and post COVID-19 pandemic era. J Clean Prod. 2021;281:125175. https://doi.org/10.1016/j.jclepro.2020.125175.
Deep G, Sidhu J, Mohana R. Role of Indian IT laws in smart healthcare devices in the intensive care unit in India. In: 2020 Sixth International Conference on Parallel, Distributed and Grid Computing (PDGC); 2020. p. 1–5. https://doi.org/10.1109/PDGC50313.2020.9315763.
Palasamudram D, Avinash S. ICT Solution for Managing Electronic Health Record in India. In: 2012 Third International Conference on Services in Emerging Markets; 2012. p. 65–74. https://doi.org/10.1109/ICSEM.2012.17.
Luthra S, Mangla SK. Evaluating challenges to Industry 4.0 initiatives for supply chain sustainability in emerging economies. Process Saf Environ Prot. 2018;117:168–79. https://doi.org/10.1016/j.psep.2018.04.018.
Fortney JC, Maciejewski ML, Tripathi SP, Deen TL, Pyne JM. A budget impact analysis of telemedicine-based collaborative care for depression. Med CareMed Care. 2011;49(9):872–80. Available: http://www.jstor.org/stable/23053673
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Anand, A., Trivedi, N.K., Gautam, V., Arvindhan, M. (2022). Infrastrucuture and Systems of Telemedicine. In: Choudhury, T., Katal, A., Um, JS., Rana, A., Al-Akaidi, M. (eds) Telemedicine: The Computer Transformation of Healthcare. TELe-Health. Springer, Cham. https://doi.org/10.1007/978-3-030-99457-0_3
Download citation
DOI: https://doi.org/10.1007/978-3-030-99457-0_3
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-99456-3
Online ISBN: 978-3-030-99457-0
eBook Packages: MedicineMedicine (R0)