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A Comprehensive Study of Mobile Computing in Telemedicine

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Abstract

Telemedicine is the concept coined by the use of telecommunication and information technology to cater healthcare facilities to patients from a far-off place. Telemedicine has exhibited an efficient mechanism to face the hurdles of helthcare to provide superior quality medical services from specialized doctors situated in urban areas to communities particularly located in rural or remote areas. This research paper will introduce several telemedicine applications that helped easier access to specialist doctors, improved satisfaction level of patients, and better clinical outcomes. The first section will define the architecture of telemedicine. Secondly, the second section will represent different telemedicine applications. Lastly, the study will also depict opposing views on the technology of telemedicine and possible solutions.

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References

  1. Rouse, M., Holman, T.: Telemedicine. http://searchhealthit.techtarget.com/definition/telemedicine. Accessed 16 Dec 2017

  2. World Health Organization Global Observatory for eHealth: Telemedicine: opportunities and developments in member states. Observatory, vol. 2, p. 96 (2010)

    Google Scholar 

  3. Singhroha, M.: Telemedicine and e-health: today and tomorrow. Compusoft 3, 1228 (2014)

    Google Scholar 

  4. Xing-Hua, S., Xiao, Z., Xiaoling, G., Wei, P.: Design and development of tele-diagnosis system of medical image based on mobile terminal. In: 2014 7th International Conference on Intelligent Computation Technology and Automation, pp. 149–153 (2014)

    Google Scholar 

  5. Jaworek, J., Augustyniak, P.: A cardiac telerehabilitation application for mobile devices. In: 2011 Computing in Cardiology, pp. 241–244 (2011)

    Google Scholar 

  6. Baernholdt, M., Yan, G., Hinton, I., Rose, K., Mattos, M.: Quality of life in rural and urban adults 65 years and older: findings from the national health and nutrition examination survey. J. Rural Heal. 28(4), 339–347 (2012)

    Article  Google Scholar 

  7. Panicker, N.V., Kumar, A.S.: Tablet PC enabled body sensor system for rural telehealth applications. Int. J. Telemed. Appl. 2016, 9 (2016)

    Google Scholar 

  8. KhanAcademy: What is hypertension? (2017). https://www.khanacademy.org/. Accessed 16 Dec 2017

  9. Digital For Me: patientslikeme. https://www.patientslikeme.com/. Accessed 16 Dec 2017

  10. Schoonjans, F.: Easy-to-use statistical software. MedCalc (2017). https://www.medcalc.org/. Accessed 16 Dec 2017

  11. Cox, P.: Mobile cloud computing: devices, trends, issues, and the enabling technologies. In: Developer Works (2011). http://www.ibm.com/developerworks/cloud/library/cl-mobilecloudcomputing/. Accessed 16 Dec 2017

  12. Gheorghe, M.: Mobile cloud computing for telemedicine solutions. Inform. Econ. 18(4), 50–61 (2014)

    Google Scholar 

  13. Steckler, T.: Telepharmacy: controversy and promise. J. Pharm. Technol. 32, 227–229 (2016)

    Article  Google Scholar 

  14. Atta-ur-Rahman, Alhiyafi, J.: Health level seven generic web interface. J. Comput. Theor. Nanosci. 15, 1261–1274 (2018)

    Article  Google Scholar 

  15. Atta-ur-Rahman, Salam, M.H., Jamil, S.: Virtual clinic: a telemedicine proposal for remote areas of Pakistan. In: 3rd World Congress on Information and Communication Technologies (WICT 2013), pp. 46–50, 15–18 December 2013

    Google Scholar 

  16. Pan, J., Tompkins, W.: A real-time QRS detection algorithm. IEEE Trans. Eng. Biomed. Eng. 32(3), 230–236 (1985)

    Article  Google Scholar 

  17. Moody, G.B., Mark, R.G.: The impact of the MIT-BIH arrhythmia database. IEEE Eng. Med. Biol. Mag. 20(3), 45–50 (2001). (PMID: 11446209)

    Article  Google Scholar 

  18. Goldberger, A.L., et al.: PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals. Circulation 101(23), e215–e220 (2000)

    Article  Google Scholar 

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Correspondence to Sujata Dash .

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Atta-ur-Rahman et al. (2019). A Comprehensive Study of Mobile Computing in Telemedicine. In: Luhach, A., Singh, D., Hsiung, PA., Hawari, K., Lingras, P., Singh, P. (eds) Advanced Informatics for Computing Research. ICAICR 2018. Communications in Computer and Information Science, vol 956. Springer, Singapore. https://doi.org/10.1007/978-981-13-3143-5_34

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  • DOI: https://doi.org/10.1007/978-981-13-3143-5_34

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-3142-8

  • Online ISBN: 978-981-13-3143-5

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