Intelligent System For Unified Medical History Tracking And Government Healthcare Scheme Eligibility Analysis

• Author(s):

  Asvathi J | M. Amrul Aslami | A. Mohamed Asan | F. Thoufeeq Rahman | Y. Mohamed Shakeel

• Keywords:

  Centralized Health Records, Artificial Intelligence, Health ID, Government Healthcare Schemes, AI Chatbot, Cloud Database, Role-Based Access Control

• Abstract:

  The Contemporary Healthcare Ecosystem Continues To Grapple With One Of Its Most Persistent Structural Problems: The Absence Of A Unified Platform Through Which Patient Data Can Flow Securely And Intelligently Across Care Providers. Fragmented Record-keeping Forces Patients To Carry Physical Documents, Leads Physicians To Repeat Expensive Diagnostic Tests, And Prevents Timely Access To Full Clinical Histories. Against This Backdrop, This Paper Introduces HealthShield AI—a Cloud-native, AI-powered Web Platform That Consolidates Patient Medical Data Under A Universally Unique Health ID, Enabling Real-time, Role-controlled Access By Authorized Healthcare Providers At Any Affiliated Institution. Beyond Record Management, The System Incorporates An Intelligent Eligibility Engine That Matches Patients To Suitable Government-sponsored Health Schemes, A Specialist Centre Discovery Module, And An Interactive Shield AI Chatbot For Guided Decision Support. The System Is Implemented Using React.js, Node.js, Express.js, Supabase, And The OpenAI API. Evaluation On A Simulated Clinical Dataset Shows A Scheme Recommendation Accuracy Of 91.4%, An Average Record Retrieval Latency Of 340 ms, And A System Usability Scale Score Of 78.6, Collectively Affirming The Platform’s Clinical Utility And Readiness For Real-world Deployment.

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Other Details

• Paper id:

  IJSARTV12I4105068

• Published in:

  Volume: 12 Issue: 4 April 2026

• Publication Date:

  2026-04-18

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