ARTIFICIAL INTELLIGENCE DRIVEN BUSINESS INTELLIGENCE FOR IMPROVING HEALTHCARE DECISION MAKING AND OPERATIONAL EFFICIENCY IN HOSPITAL

Authors

  • Tejaswi Rupakula Author

DOI:

https://doi.org/10.48047/wwckad19

Keywords:

Artificial Intelligence in Healthcare, AI Driven Business Intelligence, Predictive Analytics, Deep Learning, Natural Language Processing in HER, Federated Learning

Abstract

Artificial Intelligence (AI) has transformed a number of sectors including healthcare through improving 
process automation predictive analytics and decision-making. AI-powered business intelligence (BI) 
systems have greatly enhanced patient care illness prognosis and hospital and pharmaceutical 
operational efficiency in the medical field. However real-time data processing precise forecasting and 
adaptive decision-making are challenges for traditional BI systems in the healthcare industry which 
results in inefficiencies in diagnosis treatment planning and resource allocation.

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Published

2025-02-19

Issue

Vol. 54 No. 1 (2025): Year 2025, Volume 54, Issue 1

Section

Articles

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How to Cite

ARTIFICIAL INTELLIGENCE DRIVEN BUSINESS INTELLIGENCE FOR IMPROVING HEALTHCARE DECISION MAKING AND OPERATIONAL EFFICIENCY IN HOSPITAL (Tejaswi Rupakula , Trans.). (2025). Cuestiones De Fisioterapia, 54(1), 599-620. https://doi.org/10.48047/wwckad19