Enabling Predictive Healthcare with Data Engineering and AI Integration: A Case Study in Resource Optimization and Patient Flow Management

Authors

  • Harish Kumar Kanukuntla

Keywords:

Predictive Healthcare Analytics, Data Engineering, Machine Learning Forecasting, Healthcare Operations Optimization, Clinical Resource Management

Abstract

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://eudoxuspress.com/index.php/pub/article/view/5050

Issue

Vol. 35 No. 3 (2026): JOCAAA

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.