Design of a Mobile UK-Clinic Application Using Svelte Front-End
DOI:
https://doi.org/10.31154/isc12.v12i7.234.1401-1411Keywords:
Mobile Application, UK-Clinic, Svelte, UI/UX, Medical RecordsAbstract
This paper focuses on the design of a mobile UK-Clinic application, developed to address the healthcare needs of the clinic at Universitas Klabat. The application's architecture is proposed using Svelte for the front-end, outlining comprehensive functionalities for both staff/admin (doctors) and students (patients). Key design features for staff/admin include planned schedule management, prescription management, additional document handling, chat functionality, and profile management. For students, the design provides for appointment booking, medical record access, additional document viewing, chat, notifications, and a clinic location map. The UI/UX design emphasizes ease of use, with clear proposed flows from the login process to feature interactions, laying the groundwork for its future implementation
References
Nguyen, P. Q., Sharma, K., & Zhang, Y. (2021). Deep learning-based image encryption: A
survey. IEEE Access, 9, 122345–122367. https://doi.org/10.1109/ACCESS.2021.3105437
Alqahtani, F., & Kavakli-Thorne, M. (2023). Blockchain in education: A systematic literature
review. Computers & Education: Artificial Intelligence, 4,
100111. https://doi.org/10.1016/j.caeai.2023.100111
Kumar, R., & Li, J. (2023). Real-time detection of phishing attacks using deep neural networks.
Cybersecurity and Privacy, 3(1), Article 9. https://doi.org/10.3390/cyber3010009
Bryman, A. (2021). Social research methods (6th ed.). Oxford University Press.
Goodfellow, I., Bengio, Y., & Courville, A. (2020). Deep learning (Adaptive computation and
machine learning series). MIT Press.
Ahmed, S., & Rahman, M. (2020). AI-driven healthcare diagnostics. In K. Kapoor & S. Singh
(Eds.), Emerging trends in artificial intelligence applications (pp. 43–68). Springer.
https://doi.org/10.1007/978-3-030-56417-4_3
Lee, H. J., & Tan, K. (2022). A gamified app to support academic motivation among first-year
students. In Proceedings of the 14th International Conference on Education and New Learning
Technologies (pp. 9283–9289). IATED.
Gonzalez, M. R., & Rivera, D. (2021, July 12–15). Enhancing collaborative writing using AI
feedback tools. Paper presented at the 2021 International Conference on Computer-Supported
Collaborative Learning, Bochum, Germany.
Thomas, R. J. (2022). The role of machine learning in early disease prediction: A case study
on diabetes (Master’s thesis). University of Melbourne. https://doi.org/10.26188/234567
Lee, C. H. (2020). Privacy-preserving data sharing protocol for IoT devices (U.S. Patent No.
10,876,234). United States Patent and Trademark Office.
International Organization for Standardization. (2020). Information technology — Cloud
computing — Overview and vocabulary (ISO/IEC 17788:2020).

