• Journal of Internet Computing and Services
    ISSN 2287 - 1136(Online) / ISSN 1598 - 0170 (Print)
    http://jics.or.kr/

A Study on Medical Information Platform Based on Big Data Processing and Edge Computing for Supporting Automatic Authentication in Emergency Situations


Gyu-Sung Ham, Mingoo Kang, Su-Chong Joo, Journal of Internet Computing and Services, Vol. 23, No. 3, pp. 87-95, Jun. 2022
10.7472/jksii.2022.23.3.87, Full Text:
Keywords: Medical Information Platform, Automatic Authentication, Emergency Situations, Edge Computing, Big data processing, Medical Big data

Abstract

Recently, with the development of smart technology, in medical information platform, patient‘s biometric data is measured in real time and accumulated into database, and it is possible to determine the patient’s emergency situations. Medical staff can easily access patient information after simple authentication using a mobile terminal. However, in accessing medical information using the mobile terminal, it is necessary to study authentication in consideration of the patient situations and mobile terminal. In this paper, we studied on medical information platforms based on big data processing and edge computing for supporting automatic authentication in emergency situations. The automatic authentication system that we had studied is an authentication system that simultaneously performs user authentication and mobile terminal authentication in emergency situations, and grants upper-level access rights to certified medical staff and mobile terminal. Big data processing and analysis techniques were applied to the proposed platform in order to determine emergency situations in consideration of patient conditions such as high blood pressure and diabetes. To quickly determine the patient’s emergency situations, edge computing was placed in front of the medical information server so that the edge computing determine patient’s situations instead of the medical information server. The medical information server derived emergency situation decision values using the input patient’s information and accumulated biometric data, and transmit them to the edge computing to determine patient-customized emergency situation. In conclusion, the proposed medical information platform considers the patient's conditions and determine quick emergency situations through big data processing and edge computing, and enables rapid authentication in emergency situations through automatic authentication, and protects patient’s information by granting access rights according to the patient situations and the role of the medical staff.


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Cite this article
[APA Style]
Gyu-Sung Ham, Mingoo Kang, & Su-Chong Joo (2022). A Study on Medical Information Platform Based on Big Data Processing and Edge Computing for Supporting Automatic Authentication in Emergency Situations. Journal of Internet Computing and Services, 23(3), 87-95. DOI: 10.7472/jksii.2022.23.3.87.

[IEEE Style]
G. Ham, M. Kang and S. Joo, "A Study on Medical Information Platform Based on Big Data Processing and Edge Computing for Supporting Automatic Authentication in Emergency Situations," Journal of Internet Computing and Services, vol. 23, no. 3, pp. 87-95, 2022. DOI: 10.7472/jksii.2022.23.3.87.

[ACM Style]
Gyu-Sung Ham, Mingoo Kang, and Su-Chong Joo. 2022. A Study on Medical Information Platform Based on Big Data Processing and Edge Computing for Supporting Automatic Authentication in Emergency Situations. Journal of Internet Computing and Services, 23, 3, (2022), 87-95. DOI: 10.7472/jksii.2022.23.3.87.