To Design an AI-Based Medical Report Analytics and Virtual Care System (MEDGPT) using Machine Learning and Web Technologies

DOI

https://www.doi.org/10.59256/indjcst.20260502074

Published In

Volume 5, Issue 2 (2026)

Published Online

May-August 2026

Pages

637-645

Article Type

Original Article

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The increasing adoption of digital healthcare technologies has created a growing demand for intelligent systems capable of simplifying the analysis and interpretation of medical reports. Traditional diagnostic reports often contain complex medical terminology and numerical parameters that are difficult for patients to understand without professional assistance, resulting in delayed decision-making and reduced healthcare accessibility. To address these challenges, this paper presents MEDGPT, an AI-powered Medical Report Analysis and Health Intelligence System that automates the extraction, analysis, and visualization of healthcare data. The developed framework integrates Optical Character Recognition (OCR) techniques with a rule-based health analysis engine to process medical reports in PDF and image formats and identify critical health parameters in real time. The system employs automated parameter extraction, health score generation, abnormality detection, and risk assessment mechanisms to provide meaningful insights from diagnostic reports. Furthermore, an intelligent dashboard is incorporated to visualize medical data through interactive charts, trend analysis, and health monitoring features, enabling users to track their health conditions over time. An AI-assisted summarization module and chatbot interface are integrated to enhance user understanding by converting complex medical information into simplified explanations and personalized recommendations. Experimental evaluation demonstrates that MEDGPT improves report interpretation efficiency, enhances healthcare accessibility, and reduces dependency on manual analysis for basic medical insights. The resulting system provides a scalable, secure, and user-friendly healthcare solution suitable for real-world deployment in modern digital healthcare environments.