Detection and Classification of One Conductor Open Faults in Parallel Transmission Line using Artificial Neural Network [139-146]
Author: A.M. Abdel-Aziz, B. M. Hasaneen, A. A. Dawood
Ant Colony based Optimized Authentication Mechanism for Vehicular Ad Hoc Networks [147-150]
Author: Priyanka Rathore, Pankaj Kawadakar
Network Lifetime Enhancement in Mobile Ad-Hoc Network: A Review [151-154]
Author: Ashok Kumar Yadav, Ravendra Ratan Singh
Ant Colony Based Optimized Encryption Scheme for Network-Coded Mobile Ad-Hoc Networks [155-159]
Author: Garima Boriya, Anubhav Sharma
Linear-Regression Based Node Relocation Scheme for Energy Efficient Wireless Sensor Network [160-164]
Author: Rishank Rathore, Mr. Akhilesh Bansiya
Review on BAT Algorithm in IDS for Optimization [165-168]
Author: Aliya Ahmad, Bhanu Pratap Singh Senger
AI-Driven Data Warehouse Modernization in the Healthcare Sector: A Blueprint for Efficiency Modernizing Legacy Data Warehouses with AI-Enhanced Workflows/strong>
Authors:-Srinivasa Chakravarthy Seethala
Abstract-The healthcare industry is at a pivotal moment in terms of data management. Legacy data warehouses, which once served the sector’s needs, are now proving inefficient in an era of rapid technological advancements. This article proposes a framework for modernizing these legacy systems with Artificial Intelligence (AI) technologies, particularly AI-enhanced Extract, Transform, Load (ETL) workflows. These technologies have the potential to significantly improve data quality, operational efficiency, and scalability, especially in key areas such as Electronic Health Records (EHRs), Medical Imaging, Hospital Management, and Medical Research. Additionally, AI enables predictive analytics, offering healthcare organizations the ability to anticipate patient needs and optimize resource allocation. This paper explores the challenges healthcare organizations face, the benefits of AI-driven solutions, and best practices for implementation.
DOI: 10.61137/ijsret.vol.2.issue6.135
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