AI-BASED HEALTHCARE ASSISTANT

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-organised 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. Experimental results show that the proposed system improves clinical workflow automation, patient-doctor communication, and secure management of confidential healthcare data. The combination of AI-assisted consultation and organised medical management makes the system applicable for digital healthcare applications.