Intelligent ETL Automation Frameworks for HIPAA-Compliant Healthcare Claims Processing
Keywords:
ETL automation, healthcare claims processing, HIPAA compliance, intelligent testing frameworks, quality engineeringAbstract
Healthcare Organizations increasingly depend on ETL pipelines to process electronic claims and maintainregulatory compliance across complex adjudication workflows. Traditional testing methods struggle withthe scale and regulatory requirements of modern claims ecosystems. Manual validation approaches create bottlenecks that delay critical releases and allow defects
References
Mani Kanta Pothuri, "Designing a Metadata-Driven Framework for Automated Data Profiling, Data Analysis, Data Management, Integration at Scale in Medicaid Healthcare Ecosystems," International Journal of Multidisciplinary Research and Growth Evaluation, 2025. Available: https://www.allmultidisciplinaryjournal.com/uploads/archives/20250908123451_MGE-2025-4348.1.pdf
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Published
2026-01-31
How to Cite
Devi Manoharan. (2026). Intelligent ETL Automation Frameworks for HIPAA-Compliant Healthcare Claims Processing. Journal of Computational Analysis and Applications (JoCAAA), 35(1), 1060–1073. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/4840
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