IJSMT Journal

International Journal of Science, Strategic Management and Technology

An International, Peer-Reviewed, Open Access Scholarly Journal Indexed in recognized academic databases · DOI via Crossref The journal adheres to established scholarly publishing, peer-review, and research ethics guidelines set by the UGC

ISSN: 3108-1762 (Online)
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AI-BASED HEALTHCARE ASSISTANT

AUTHORS:
Aadhavan S
M. Rathi
Mentor
Affiliation
Department of Computer Technology Dr. N.G.P. Arts and Science College, Coimbatore.
CC BY 4.0 License:
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract

The fast-paced development of Artificial Intelligence (AI) has greatly impacted the current healthcare system by increasing efficiency, accessibility, and patient engagement. This paper describes the design and development of an AI-Based Healthcare Assistant system integrated with a secure role-based clinical management system. The proposed system allows patients, doctors, and administrators to communicate in a well-organized and secure online environment.


The system includes necessary healthcare features such as appointment scheduling, uploading and managing medical records, updating diagnostic results, and an AI-driven conversational interface for basic health advice. The system is developed using a MERN-stack technology framework consisting of MongoDB, Express.js, Node.js, and a Single Page Application (SPA) interface. For secure data management and access control, JSON Web Token (JWT) authentication and Role-Based Access Control (RBAC) are implemented.

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S, A. & Rathi, M. (2026). AI-Based Healthcare Assistant. International Journal of Science, Strategic Management and Technology, 02(03). https://doi.org/10.55041/ijsmt.v2i3.074

S, Aadhavan, and M. Rathi. "AI-Based Healthcare Assistant." International Journal of Science, Strategic Management and Technology, vol. 02, no. 03, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i3.074.

S, Aadhavan, and M. Rathi. "AI-Based Healthcare Assistant." International Journal of Science, Strategic Management and Technology 02, no. 03 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i3.074.

References
1.Flora Amato, Stefano Marrone, (2018), "Chatbots meet eHealth: automatizing healthcare", (IRJET).

2.Divya, S., et al., (2020), "Design and Development of Medical Chatbot", (International Journal of Computer Trends and Technology).

3.Kyo-Joong Oh, DongKun Lee, ByungSoo Ko, Ho-Jin Choi, (2017), "A Chatbot for Psychiatric Counselling in Mental Healthcare Service Based on Emotional Dialogue Analysis and Sentence Generation", (IEEE).

4.Jones, J. Bradley, and N. Sakimura, (2015), "JSON Web Token (JWT)", IETF RFC 7519.

5.Sandhu, D. Ferraiolo, and R. Kuhn, (2000), "The NIST model for role-based access control", Proceedings of the 5th ACM Workshop on Role- Based Access Control, pp. 47–63.

6.Li, R., et al. (2020), "Deep Learning in Healthcare: A Review of Applications and Challenges," (IEEE Access).

7.Zhang, P., et al. (2018), "FHIRChain: Applying Blockchain to Health Data Sharing," (Journal of Medical Systems).

8.Griebel, L., et al. (2015), "Cloud computing in healthcare: A scoping review," (BMC Medical Informatics and Decision Making).
Ethics and Compliance
✓ All ethical standards met
This article has undergone plagiarism screening and double-blind peer review. Editorial policies have been followed. Authors retain copyright under CC BY-NC 4.0 license. The research complies with ethical standards and institutional guidelines.
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