The Artificial Intelligence–Enhanced Telemedicine Platform for Remote Patient Monitoring

Abstract

Background: Telemedicine has become an essential instrument for providing healthcare in underprivileged and conflict-affected areas. The interplay of geographical obstacles, political turmoil, and infrastructural deficiencies in Kashmir restricts access to prompt medical care. Artificial Intelligence (AI) presents a chance to improve telemedicine through the implementation of predictive analytics, anomaly detection, and intelligent triage. The objective of this project was to build, implement, and assess TeleKashmir-AI, a prototype telemedicine system augmented by artificial intelligence, facilitating remote patient monitoring and healthcare delivery in Kashmir.

Methods: A mixed-methods approach was utilized. A cross-sectional survey involving 100 healthcare providers and 200 patients evaluated the usefulness and acceptance of AI functionalities in telemedicine. A prototype Android application was concurrently constructed, comprising four essential modules: authentication, vitals logging, video consultation, and AI Chatbot. The solution utilized client-server architecture, incorporating Firebase, Jitsi API, and AI-compatible APIs for Chatbot functionality.

Results: Survey data indicated that 85% of providers deemed the AI dashboard beneficial, 82% of patients appreciated Chatbot assistance, and 88% expressed satisfaction with Teleconsultation. Ninety percent indicated a willingness to persist in use TeleKashmir-AI. The prototype testing confirmed the efficacy of all four modules under regulated conditions.

Conclusions: TeleKashmir-AI illustrates the viability of using AI into telemedicine for resource-constrained and conflict-impacted areas. The system provides proactive, data-informed, and patient-focused healthcare delivery. Prospective enhancements encompass BLE device connectivity, augmented AI triage, and offline-first architecture.