Design and Implementation of a Secure Campus Healthcare Digital Twin System for Student Vital Records (NOKENKO) | IJCT Volume 13 – Issue 3 | IJCT-V13I3P60

International Journal of Computer Techniques
ISSN 2394-2231
Volume 13, Issue 3  |  Published: May – June 2026

Author

Olawunmi Asake Adebanjo, Iwuh Chidubem Mac-Donald, Enyiora Ifeanyi Pearl, Adewuyi Joseph Oluwaseyi, Usifoh David, Adebowale Oluwasegun Daniel

Abstract

In this paper, the design and development of NOKENKO, an AI-powered digital health twin campus healthcare solution that seeks to make student health record management more efficient, is discussed. The solution utilizes an AI-powered Digital Health Twin, where the Gemini 2.5 Flash model generates an on-demand health profile from vital signs, health status, history, medication, and allergy of the student to form a health score of the five organ systems of the body. Unlike EHR systems, NOKENKO puts a premium on the protection of the privacy and confidentiality of personal data through access to data by consent, role-based access control (RBAC), time-limited QR/code-based access sharing, and immutability. Using technologies such as React 19 (PWA), Firebase BaaS, Cloud Firestore, and Gemini 2.5 Flash, the solution was tested using 42 black box tests all of which passed; STRIDE security threat modeling; and performance benchmarking where average loading time for dashboard was 1.2 seconds, vitals save of 0.9 seconds, and twin generation of 1.4 seconds with 2.8 seconds under a concurrent user count of 30. The results have validated the feasibility and effectiveness of the application of AI-powered digital health twin technology for campus healthcare.

Keywords

Digital health twin, campus health, mHealth, electronic health records, privacy, security, STRIDE, Firebase, Gemini AI, NDPR compliance..

Conclusion

NOKENKO manages to show that it is possible to implement AI-powered digital health twin technology in a university healthcare setting. Utilizing a cutting-edge PWA framework (React 19, Firebase, Gemini 2.5 Flash) with a privacy-focused development philosophy consistent with NDPR standards results in a robust and user-friendly application for managing students’ health records. All 42 tests were successful, mitigations for all six STRIDE threat categories were found, and performance metrics matched established requirements under 30 simultaneous users. A consensual sharing scheme, RBAC policy enforcement on a database level, organ-system health score generation by AI, and an unalterable audit trail in combination give the power to students to manage their health data and let healthcare professionals access it via permission chains.

References

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How to Cite This Paper

Olawunmi Asake Adebanjo, Iwuh Chidubem Mac-Donald, Enyiora Ifeanyi Pearl, Adewuyi Joseph Oluwaseyi, Usifoh David, Adebowale Oluwasegun Daniel (2026). Design and Implementation of a Secure Campus Healthcare Digital Twin System for Student Vital Records (NOKENKO). International Journal of Computer Techniques, 13(3). ISSN: 2394-2231.

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