• Anisha S
• Ayyanraj C
• Sathvika M
• Srividhya S
• Vijayshree R J

The "Analytic Tool for Healthcare Data of Patients in Hospitals" is designed to optimize hospital management through a robust web application that combines predictive analytics with real-time data processing. Addressing key healthcare challenges such as operational inefficiencies, patient care gaps, and financial constraints, the tool integrates patient data, real-time dashboards, operational insights, and predictive models powered by machine learning algorithms like Random Forest, ARIMA, and neural networks. These models forecast high-risk readmissions, bed occupancy, staffing, medication demand, and seasonal disease trends, enabling hospital administrators to improve resource use, streamline workflows, manage costs, and enhance patient outcomes. Scalable and secure, this application supports informed decision-making across clinical, administrative, and operational levels.

Predictive analytics, Operational efficiency, Machine learning algorithms, Random Forest, ARIMA, Neural Networks

"ANALYTIC TOOL FOR HEALTHCARE DATA OF PATIENTS IN HOSPTALS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 2, page no.d847-d853, February-2025, Available :http://www.jetir.org/papers/JETIR2502394.pdf

"ANALYTIC TOOL FOR HEALTHCARE DATA OF PATIENTS IN HOSPTALS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 2, page no. ppd847-d853, February-2025, Available at : http://www.jetir.org/papers/JETIR2502394.pdf