Enabling Predictive Healthcare with Data Engineering and AI Integration: A Case Study in Resource Optimization and Patient Flow Management
Keywords:
Predictive Healthcare Analytics, Data Engineering, Machine Learning Forecasting, Healthcare Operations Optimization, Clinical Resource ManagementAbstract
This article examines the implementation and impact of integrated data engineering and artificialintelligence solutions for enabling predictive healthcare analytics across multiple clinical facilities. The article demonstrates how advanced ETL processes
References
World Health Organization. “Global strategy on digital health 2020-2025”, World Health
Organization, 2021. https://www.who.int/docs/default source/documents/gs4dhdaa2a9f352b0445bafbc79ca799dce4d.pdf
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Published
2026-03-05
How to Cite
Harish Kumar Kanukuntla. (2026). Enabling Predictive Healthcare with Data Engineering and AI Integration: A Case Study in Resource Optimization and Patient Flow Management . Journal of Computational Analysis and Applications (JoCAAA), 35(3), 24–37. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/5050
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