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

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

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

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.

Country : USA

1 Srinivasa Chakravarthy Seethala

  1. Lead Developer, Buffalo, New York, USA

IRJIET, Volume 4, Issue 12, December 2020 pp. 43-45

doi.org/10.47001/IRJIET/2020.412007

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