Enhancing Healthcare Decision-Making with AI-Powered Business Intelligence and Real-Time Data Analytics
Keywords:
AI in healthcare, Business Intelligence, real-time analytics, predictive analytics, healthcare decision-makingAbstract
Healthcare organizations are initiating AI and BI technologies driven by advanced analytics,predictive modeling, collaboration through insightful depth enabling decision-making. Byusing machine learning algorithms, natural language processing, and advanced datavisualization techniques, AI-powered BI systems enable the processing of significant clinical
References
Razzak, M. I., Imran, M., & Xu, G. (2018). Big data analytics for preventive healthcare. Journal of Healthcare Engineering, 2018, 1-10.
https://doi.org/10.1155/2018/3487154
He, X., Wu, S., & Deng, Y. (2020). Artificial intelligence in healthcare: Past, present and future. Journal of Healthcare Engineering, 2020, 1-15.
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Published
2024-08-14
How to Cite
Viswanatha raju Sangaraju. (2024). Enhancing Healthcare Decision-Making with AI-Powered Business Intelligence and Real-Time Data Analytics . Journal of Computational Analysis and Applications (JoCAAA), 33(08), 3632–3650. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/2542
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