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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM55187
Volume:
9 |
12 |
Dec 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The management of Electronic Health Records (EHRs) requires secure, scalable, and user-friendly platforms that ensure data privacy while supporting efficient healthcare workflows. Traditional systems often face challenges such as weak security, lack of scalability, and poor accessibility for patients and healthcare providers. This paper presents a Smart, Secure, and Scalable Cloud-Based Healthcare System implemented as a modern web application using a Python Flask backend and a React-based frontend. The system incorporates secure authenti- cation through JSON Web Tokens (JWT), Role-Based Access Control (RBAC), structured EHR management, appointment scheduling, and medication tracking. Two advanced features are introduced: an AI-powered CareMate Chatbot, integrated using the OpenAI API, which enables patients to interact with their health data through natural language; and an Emergency Blood Request Broadcast Module, enabling administrators to instantly notify all users during critical situations. The backend is implemented using Flask-SQLAlchemy with SQLite for devel- opment, designed for future scalability to PostgreSQL or other cloud-based databases. The frontend utilizes Tailwind CSS for a responsive user interface and Axios for RESTful communication. Testing using Postman and UI validation confirms secure access control, functional correctness, and responsive performance. The results demonstrate that the system delivers a secure, interactive, and extensible healthcare platform aligned with UN Sustainable Development Goals (SDG 3: Good Health and Well-being, and SDG 9: Industry, Innovation, and Infrastructure), providing a strong foundation for future cloud deployment and interoper- ability enhancements.
KEYWORDS
Publication Date
12/13/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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