A Comparative Analysis of e-Sanjeevani and an AI-Driven Telemedicine Chatbot Framework

International Journal of Emerging Research in Science, Engineering, and Management

Vol. 2, Issue 5, pp. 01–07, May 2026

https://doi.org/10.66710/ijersem.v2i5.1

This work is licensed under a Creative Commons Attribution 4.0 International License .

A Comparative Analysis of e-Sanjeevani and an AI-Driven Telemedicine Chatbot Framework

Sindhu Rajendran, Chandrashekar Shastry

Department of Electronics and Communication Engineering, Jain Deemed-to be University, Bengaluru-560059, India

Abstract

Telemedicine has become a cornerstone of modern healthcare delivery, particularly in resource-constrained and geographically diverse regions. India’s national telemedicine platform, e-Sanjeevani, exemplifies population-scale digital health deployment by enabling widespread access to remote medical consultations. However, teleconsultation systems remain limited in their ability to provide automated clinical interpretation and prescription safety support. In parallel, advances in artificial intelligence (AI) have enabled clinical decision support systems that enhance diagnostic reasoning and reduce medication-related errors. This paper presents a comparative systems-level analysis of e-Sanjeevani and a multimodal AI-based clinical decision support platform. The study examines their architectures, methodologies, and functional objectives, highlighting their complementary strengths. The results indicate that integrating AI-driven clinical intelligence with national telemedicine infrastructure can significantly enhance clinical safety, decision accuracy, and healthcare quality.

Keywords: Telemedicine, Clinical Decision Support Systems, Artificial Intelligence, e-Sanjeevani, Prescription Safety.

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DOI: 10.66710/ijersem.v2i5.1

Open Access • Peer Reviewed Article

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This article is part of Volume 2, Issue 5 (May 2026)

2026-05-05