GramHealth Lite: An AI-Powered Offline-First PWA for Smart Rural Healthcare Management

Srinath Venkatesan, N. Akshay, Mohammad Simer, J. Sam Sundar, C. Bala Viswanathan Department of Computer Science, New York University, New York, United States of America. Department of Artificial Intelligence and Machine Learning, SRM Institute of Science and Technology, Ramapuram, Chennai, Tamil Nadu, India.

Abstract: Under 30% of India's healthcare infrastructure is available to rural residents, despite over 70% of the population living in these areas. Frontline health workers, such as Accredited Social Health Activists (ASHA), often operate in villages with limited or no internet connectivity, making cloud-based health management solutions impractical. GramHealth Lite v2.0, an offline-first Progressive Web Application (PWA), manages patient registration, vital recording, AI-assisted prescription writing, medicine reminders, and Text-to-Speech (TTS) instructions directly in the browser, without API dependencies. The system introduces four major innovations: (1) an offline-first data architecture powered by IndexedDB for persistent, browser-native local storage that preserves records across page refreshes and browser restarts; (2) a custom Natural Language Processing (NLP) engine based on domain-specific regular expressions that converts free-text doctor notes into structured medicine records, reducing prescription writing time by 75%; (3) a smart medicine reminder system; and (4) role-based access control with secure pathways for ASHA Workers, Doctors, Patients, and Administrators. Quantitative evaluation demonstrates 33% improvement in patient registration speed, 25% improvement in vitals recording, and a 75% reduction in prescription-writing time compared with version 1.0. The AI prescription parser achieved 91% field-level accuracy on a domain-specific test set comprising 120 entries. GramHealth Lite v2.0 uniquely provides complete offline functionality, AI-assisted parsing, free browser notifications, and Text-to-Speech voice instructions at zero per-query cost. 

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Keywords: Rural Healthcare; Offline-First PWA; AI Prescription Parser; ASHA Workers; Web Notifications API; Text-to-Speech; Progressive Web Application; Healthcare Management.

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Received on: 16/06/2025Revised on: 23/08/2025Accepted on: 02/11/2025Published on: 07/03/2026

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