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Leveraging AI in ETL / ELT Designs for Enhanced Health Risk Assessment | Synapse

August 5, 2024Open Access

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Leveraging AI in ETL / ELT Designs for Enhanced Health Risk Assessment

GRGokul Ramadoss

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Resumen

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.

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Cite This Study

Gokul Ramadoss (Mon,) studied this question.

synapsesocial.com/papers/68e5d782b6db64358756d4b9 https://doi.org/https://doi.org/10.21275/sr24802003019

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