International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

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DOI Prefix: 10.47001/IRJIET

AI-Enabled Data Pipelines: Modernizing Data Warehouses in Healthcare for Real-Time Analytics

Srinivasa Chakravarthy SeethalaLead Developer, Buffalo, New York, USA

Vol 4 No 12 (2020): Volume 4, Issue 12, December 2020 | Pages: 43-45

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 30-12-2020

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Abstract

This article examines the application of AI-enabled data pipelines to modernize healthcare data warehouses, focusing on real-time analytics. By addressing current challenges in healthcare data management, this paper presents a framework that combines AI with data warehousing to provide healthcare providers with advanced analytical capabilities. Through real-world case studies, the article illustrates the impact of AI-enabled data pipelines on operational efficiency, patient outcomes, and decision-making. With increasing data volumes and complexities, adopting AI-driven solutions in healthcare is imperative for achieving timely, data-driven insights and improving overall healthcare delivery.

Keywords

AI-enabled data pipelines, healthcare data warehouse modernization, real-time analytics, predictive analytics in healthcare, machine learning in healthcare, data integration, healthcare data governance, big data in healthcare, patient data management, resource optimization in healthcare


Citation of this Article

Srinivasa Chakravarthy Seethala. (2020). AI-Enabled Data Pipelines: Modernizing Data Warehouses in Healthcare for Real-Time Analytics. International Research Journal of Innovations in Engineering and Technology – IRJIET. 4(12), 43-45. Article DOI https://doi.org/10.47001/IRJIET/2020.412007

Licence Copyright (c) 2026 International Research Journal of Innovations in Engineering and Technology creative common licence This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
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