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Research Paper | Health and Medical Sciences | United States of America | Volume 13 Issue 8, August 2024 | Rating: 4.8 / 10
Leveraging AI in ETL / ELT Designs for Enhanced Health Risk Assessment
Gokul Ramadoss
Abstract: Integrating Artificial Intelligence (AI) into Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) processes is revolutionizing healthcare data management. This paper explores the importance of ETL/ELT in healthcare and demonstrates how AI enhances data processing efficiency, improves health outcomes, and supports real-time data integration, predictive analytics, and comprehensive risk evaluation. AI-powered ETL/ELT systems facilitate faster, more accurate, and scalable health risk assessments, ultimately enhancing patient care and resource utilization.
Keywords: AI, ETL, ELT, healthcare data integration, health risk assessment, predictive analytics, automation, scalability, patient care, data processing
Edition: Volume 13 Issue 8, August 2024,
Pages: 262 - 265