Medical professionals need new technologies like the Internet of Things (IoT) and Artificial Intelligence (AI) to combat COVID-19.  A major aspect of this study is to examine how IoT-based remote monitoring technology can be used to record the medical history of patients, trace, monitor, analyze, and prevent COVID-19 and other health outbreaks. We have designed an IoT based patient's health record (PHR) that includes actual and prospective information about the patient, including their contacts with healthcare providers, medications, and a history of operations and hospitalizations. By making medical records available to patients, they can become more involved in their own health care, and this will help reduce direct contact with health care providers. The risk of a virus or infection spreading among medical health care providers and patients can be minimized through reduced contact. The system stores patient's personal information and medical records. Information regarding the next appointment, medicine intake, and prescriptions is sent to the patients on their email address. Additionally, we have built an Ambulance Kit using Arduino Nano, which is intended for use during medical emergencies.


How to Cite
LADDHA, S. (2021). A WORLDWIDE APPLICATION TO CONTROL COVID-19 BY REMOTE MANAGEMENT OF PATIENT RECORDS ACCESSED BY AN INTERNET OF THINGS. International Journal of Next-Generation Computing, 12(5). https://doi.org/10.47164/ijngc.v12i5.438


  1. www.who.int/publications/m/item/weekly-epidemiological-update---21-September-2021
  2. www.theiotmagazine.com/iot-mobile-apps-how-it-can-help-in-preventing-covid-19-809f3d963628
  3. www.oecd.org/coronavirus/policy-responses/using-artificial-intelligence-to-help-combat-covid-19-
  4. ae4c5c21
  5. www.weforum.org/agenda/2020/04/coronavirus-covid19-pandemic-gadgets-innovation-technology/
  6. Joyia, G.J.; Liaqat, R.M.; Farooq, A.; Rehman, S. Internet of Medical Things (IOMT): Applications, benefits and future challenges in healthcare domain. J. Commun. 2017, 12, 240–247.
  7. https://www.health.state.mn.us/diseases/coronavirus/pulseoximeter.html
  8. Andrews L, Gajanayake R, Sahama T. The Australian general public's perceptions of having a personally controlled electronic health record (PCEHR). Int J Med Inform. 2014 Dec;83(12):889-900. doi: 10.1016/j.ijmedinf.2014.08.002. Epub 2014 Aug 15. PMID: 25200198.
  9. www.nttdata.com/global/en/media/press-release/2020/june/ntt-datas-ai-based-diagnostic-imaging-support-solution
  10. Shenkin BN, Warner DC. Sounding board. Giving the patient his medical record: a proposal to improve the system. N Engl J Med. 1973 Sep 27;289(13):688–92. doi: 10.1056/NEJM197309272891311.
  11. Martínez Sesmero, J.M., BBig Data^; Aplicación y utilidad para el sistema sanitario. Farm. Hosp. 39(2):69–70, 2015
  12. www.geospatialworld.net/blogs/popular-apps-covid-19
  13. Shimal Das and Jhunu Debbarma, “Designing a Biometric Strategy (Fingerprint) Measure for Enhancing ATM Security in Indian EBanking System”, International Journal of Information and Communication Technology Research, Vol. 1 No. 5, September 2011(IEEE paper)
  14. Smith E. Eloff JHP ,” Security in health care information systems-current trends, International Journal of Medical Informatics, pp. 39-54, 1999.
  15. Agarwal R, Kini a,LevFevre K, Wang A, Xu Y and Zhou D [6] Dr. S.K. Mishra, " Ehealth initiatives In India".
  16. http://openmed.nic.in/1265/01/skm12.pdf
  17. http://ehealth.eletsonline.com/2011/06/national-Health –portal-for-india,2011.
  18. K.Elmufti, D.Weerasinghe,M.Rajarajan, V.Rakocevic, S.Khan, "Timestamp Authentication Protocol for remote Monitoring in ehealth," The 2nd International conference on pervasive computing technologies for healthcare,Tampere, finland, pp.73- 76, 2008
  19. Costa, F., Big data in biomedicine. Drug Discov. Today. 19(4):433– 440, 2014.
  20. O’Driscoll, A., Daugelaite, J., and Sleator, R., ‘Big data’, Hadoop and cloud computing in genomics. J. Biomed. Inform. 46:774–781, 2013.
  21. Merelli, I., Pérez-Sánchez, H., Gesing, S., and D’Agostino, D. Managing. Analyzing, and integrating big data in medical bioinfor- matics: Open problems and future perspectives. Biomed. Res. Int. 2014:1–13, 2014.
  22. Cunhaa, J., Silvaa, C., and Antunesa, M., Health twitter big bata management with Hadoop framework. Procedia Comput. Sci. 64:425–431, 2015.
  23. Ensuring security of data in telemedicine. Telemed. J. E. Health. 21(3):143–144, 2015.
  24. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7720698/