Predictive Analytics and Master Data Management in Healthcare: An AI-Driven Perspective

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Dr. Elena Rodriguez

Abstract

This abstract explores the synergistic application of predictive analytics and master data management (MDM) in the healthcare domain, adopting an AI-driven perspective. The integration of artificial intelligence (AI) and machine learning (ML) technologies with robust data mastering techniques has the potential to revolutionize healthcare systems, offering enhanced predictive capabilities for patient outcomes, streamlined decision-making processes, and improved overall data quality. The study delves into the challenges and opportunities associated with implementing AI-driven predictive analytics within the context of MDM in healthcare, aiming to provide valuable insights for healthcare professionals, researchers, and policymakers involved in the intersection of data management and predictive healthcare analytics.

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Predictive Analytics and Master Data Management in Healthcare: An AI-Driven Perspective (D. E. Rodriguez , Trans.). (2024). International Journal of Creative Research In Computer Technology and Design, 6(6). https://jrctd.in/index.php/IJRCTD/article/view/36
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How to Cite

Predictive Analytics and Master Data Management in Healthcare: An AI-Driven Perspective (D. E. Rodriguez , Trans.). (2024). International Journal of Creative Research In Computer Technology and Design, 6(6). https://jrctd.in/index.php/IJRCTD/article/view/36

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