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@article{186738,
author = {PREMKUMAR K and VIMAL RAJ M and THARUN KUMAR V and VIJAYALAKSHMI R},
title = {AI POWERED REAL TIME MONITORING SYSTEM FOR GOVERNMENT HOSPITALS},
journal = {International Journal of Innovative Research in Technology},
year = {2025},
volume = {12},
number = {6},
pages = {2713-2716},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=186738},
abstract = {The rapid advancement of Artificial Intelligence (AI) and data-driven technologies has significantly transformed the landscape of public healthcare management. This project introduces an AI- powered Real-Time Monitoring System for Government Hospitals, designed to enhance efficiency, transparency, and data accuracy in healthcare governance. The proposed system serves as a centralized digital platform that continuously collects and analyzes operational data from government hospitals across districts. It monitors live information on inpatients, outpatients, bed occupancy, emergency cases, and staff availability, enabling authorities such as Chief Ministers, District Health Officers, and Hospital Administrators to make timely, informed decisions. The platform incorporates interactive dashboards, district- wise analytics, and real-time alert mechanisms to detect capacity overloads, staff shortages, or rising case trends. By integrating AI-based prediction models with an intuitive web interface, the system not only improves resource utilization but also enhances situational awareness during emergencies. Scalable, secure, and cost-effective, this system demonstrates how AI can be leveraged to strengthen healthcare infrastructure and governance, ensuring better service delivery and proactive decision-making in public health administration.},
keywords = {Artificial Intelligence (AI), Real-Time Monitoring, Government Hospitals, Healthcare Analytics, Predictive Modelling, Emergency Alert System, Public Health Governance, Data-Driven Decision Making, Digital Health Platform, Smart Healthcare Management.},
month = {November},
}
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