MediCard+ An AI-Driven Smart Healthcare System for Centralized Medical Records and Decision Support

Abstract: This paper presents MediCard+, an AI-driven centralized healthcare system designed to address fragmented medical records and inefficient clinical decision-making. The platform enables secure storage, retrieval, and management of patient records across multiple hospitals using role-based access control. A key feature is an AI- powered chatbot that uses Natural Language Processing (NLP) and a pre-trained LLaMA-based model to analyze medical data and provide real-time insights. It supports medical history summarization, detection of critical conditions, and prediction of long-term disease risks. To ensure privacy, MediCard+ includes patient-controlled data sharing and a privacy-preserving AI pipeline that prevents direct exposure of sensitive data. The system uses MongoDB for structured data, cloud storage for documents, and a Node.js backend for scalability. Experimental results show improved data accessibility, faster response time, and better clinical decision support, making MediCard+ a scalable and secure solution for modern healthcare systems.
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Keywords: Centralized EHR, Clinical Decision Support, Healthcare AI Chatbot, Role-Based Access Control, Medical Data Security, NLP in Healthcare