Unified AI Framework for Predictive Data Engineering and Real Time Prescription and Billing Systems
Abstract
The integration of artificial intelligence (AI) into healthcare and enterprise data systems has transformed the way organizations process, analyze, and utilize data. However, most existing systems operate in silos, separating predictive analytics from operational workflows such as prescription management and billing systems. This paper proposes a unified AI framework that combines predictive data engineering with real-time prescription and billing processes to enhance efficiency, accuracy, and scalability. The framework leverages machine learning models, cloud-native architectures, and real-time streaming technologies to enable seamless data integration and intelligent automation. By utilizing predictive models, the system can forecast patient needs, optimize prescription decisions, and detect anomalies in billing processes. The proposed architecture incorporates microservices, API-first design, and distributed data pipelines to ensure flexibility and high performance. Experimental analysis demonstrates that the unified system improves prediction accuracy, reduces billing errors, and enhances operational efficiency compared to traditional systems. The framework also supports scalability across multi-hospital environments and enterprise systems. Overall, this research highlights the potential of integrating predictive data engineering with real-time healthcare operations to create intelligent, data-driven systems capable of improving service quality and reducing operational costs.
Article Information
Journal |
International Journal of Advanced Engineering Science and Information Technology (IJAESIT) |
|---|---|
Volume (Issue) |
Vol. 8 No. 5 (2025): International Journal of Advanced Engineering Science and Information Technology (IJAESIT) |
DOI |
|
Pages |
17255-17261 |
Published |
October 22, 2025 |
| Copyright | |
Open Access |
This work is licensed under a Creative Commons Attribution 4.0 International License. |
How to Cite |
Dr.R.Sugumar (2025). Unified AI Framework for Predictive Data Engineering and Real Time Prescription and Billing Systems. International Journal of Advanced Engineering Science and Information Technology (IJAESIT) , Vol. 8 No. 5 (2025): International Journal of Advanced Engineering Science and Information Technology (IJAESIT) , pp. 17255-17261. https://doi.org/10.15662/IJAESIT.2025.0805008 |
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