Authors : Kashinath Konade; Sujana Billava; Praveen Kumar Burra; Bharani Kumar Depuru

Volume/Issue : Volume 10 - 2025, Issue 3 - March

Google Scholar : https://tinyurl.com/3shsebhp

Scribd : https://tinyurl.com/4jd2s8dx

DOI : https://doi.org/10.38124/ijisrt/25mar1267

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Abstract : Many healthcare organizations face challenges with scattered data, inefficient use of resources, and difficulty in gaining useful insights. These issues affect hospital operations, patient care, and financial management. To solve this problem, this project aims to create a Healthcare Analytics Platform using Power BI to help hospitals track performance, improve decision-making, and enhance patient outcomes.The platform will include interactive dashboards that provide customized views for doctors, hospital administrators, and other healthcare staff. These dashboards will show key performance indicators, trends, and real-time data to support better planning and management. Additionally, an AI- powered assistant will allow users to ask questions using simple language and get meaningful insights about hospital operations, patient care, and financial performance.For hospital administrators, the system will help in managing resources, tracking bed occupancy, monitoring equipment usage, and improving patient experience. Meanwhile, doctors and medical teams will get insights into treatment effectiveness, infection rates, and patient recovery trends, helping them make better clinical decisions.By combining real-time data analysis, AI-driven insights, and Power BI dashboards, this platform will help hospitals reduce costs, improve efficiency, and deliver better healthcare services. The system will present data in a simple, easy-to-understand format, making it accessible for all healthcare professionals.

Keywords : Hospital Analytics, CRISP-ML(Q), Data Visualization, Power BI, Predictive Analytics, Healthcare Performance.

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