Authors :
Heriniaina Mamitina Rabearison; Fanjanirina Razafison; Nomena Razafimanjato; Manohinaina Zafintsalama; Fany Randriantiana; Harlin Andriatsihoarana
Volume/Issue :
Volume 10 - 2025, Issue 4 - April
Google Scholar :
https://tinyurl.com/575t6nkp
Scribd :
https://tinyurl.com/5369j3se
DOI :
https://doi.org/10.38124/ijisrt/25apr2048
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Abstract :
In response to the rapid expansion of telemedicine services, this paper presents the design and implementation of
a teleconsultation platform based on systematic UML modeling and a full-stack architecture. The design process includes
the definition of functional requirements through use case diagrams, the structuring of business entities via class diagrams,
and the orchestration of dynamic interactions using sequence diagrams. The developed infrastructure is supported by a
relational database optimized for managing user profiles, teleconsultation sessions, and medical prescriptions. The back-
end is designed to ensure data persistence and secure request processing, while the front-end, built around a reactive
architecture, enables real-time visualization of biomedical parameters. The platform also handles authentication
management and medical transactions, with automated generation of digital prescriptions. The results demonstrate the
system's robustness, scalability, and compliance with the requirements of modern digital healthcare environments.
Keywords :
UML Modeling, Full-Stack Development, Patient Management, Real-Time Visualization, Medical Database.
References :
- S. Omboni, « Connected Health in the Era of COVID-19: The Rise of Telemedicine », J. Med. Internet Res., vol. 24, no 5, p. e31755, 2022, doi: 10.2196/31755.
- World Health Organization, « Global Strategy on Digital Health 2020–2025 », World Health Organization, 2022. [En ligne]. Disponible sur: https://www.who.int/publications/i/item/9789240020924
- H. M. Rabearison, F. Razafison, N. Razafimanjato, M. Zafintsalama, et H. Andriatsihoarana, « Access to Healthcare and Deployment of Telemedicine in Madagascar: Context and Methodology », Int. J. Innov. Res. Sci. Eng. Technol., vol. 14, no 3, mars 2025, doi: 10.15680/IJIRSET.2025.14033019.
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- H. M. Rabearison, F. Razafison, N. Razafimanjato, M. Zafintsalama, et H. Andriatsihoarana, « Design of a Low-Cost, Energy-Efficient Telemedicine Platform: An Innovative Solution for Medical Consultations in Remote Areas », Int. J. Adv. Eng. Manag., vol. 7, no 3, p. 90‑121, mars 2025, doi: 10.35629/5252-070390121.
- J. Rumbaugh, G. Booch, et I. Jacobson, The Unified Modeling Language Reference Manual, 2e éd. Addison-Wesley, 2023.
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- T. Benson et G. Grieve, Principles of Health Interoperability: SNOMED CT, HL7 and FHIR. Springer, 2021.
- H. M. Rabearison, F. Razafison, N. Razafimanjato, M. Zafintsalama, et H. Andriatsihoarana, « Architecture and Organizational Protocol of a Connected Medical Monitoring Device », Int. J. Sci. Res. Technol., vol. 2, no 4, p. 204‑216, 2025, doi: 10.5281/zenodo.15191781.
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- A. Ait Saadi et others, « A Self-Adaptive Medical Platform Based on Ontology-Driven Dynamic Product Lines », Saad Dahleb University Blida 1, 2023. [En ligne]. Disponible sur: https://di.univ-blida.dz/xmlui/handle/123456789/25077.
In response to the rapid expansion of telemedicine services, this paper presents the design and implementation of
a teleconsultation platform based on systematic UML modeling and a full-stack architecture. The design process includes
the definition of functional requirements through use case diagrams, the structuring of business entities via class diagrams,
and the orchestration of dynamic interactions using sequence diagrams. The developed infrastructure is supported by a
relational database optimized for managing user profiles, teleconsultation sessions, and medical prescriptions. The back-
end is designed to ensure data persistence and secure request processing, while the front-end, built around a reactive
architecture, enables real-time visualization of biomedical parameters. The platform also handles authentication
management and medical transactions, with automated generation of digital prescriptions. The results demonstrate the
system's robustness, scalability, and compliance with the requirements of modern digital healthcare environments.
Keywords :
UML Modeling, Full-Stack Development, Patient Management, Real-Time Visualization, Medical Database.