Lim Se Jin, Kwon Hyeok Dong, Seo Hwa Jeong

KIPS Transactions on Computer and Communication Systems, Vol. 10, No. 1, pp. 1-6, Jan. 2021
https://doi.org/10.3745/KTCCS.2021.10.1.1,   PDF Download:
Keywords: Iris Recognition, Beacon, Blockchain, identity authentication
Abstract

Recently, incidents such as proxy surgery (unlicensed medical practice) have been reported in the media that threaten the safety of patients. Alternatives such as the introduction of operating room surveillance camera devices to prevent proxy surgery are emerging, but there are practical difficulties in implementing them due to strong opposition from the medical community. However, the social credibility of doctors is falling as incidents such as proxy surgery occur frequently. In this paper, we propose a medical staff identification system combining Beacon and iris recognition. The system adds reliability by operating on the blockchain network. The system performs primary identification by performing user authentication through iris recognition and proves that the medical staff is in the operating room through beacons. It also ensures patient trust in the surgeon by receiving beacon signals in the background and performing iris authentication at random intervals to prevent medical staff from leaving the operating room after only performing initial certification.

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