Cloud-Native Healthcare Regulatory Data Architecture: Snowflake-Enabled SaaS/DaaS Transformation Framework

Abstract

This article explores the strategic transformation of healthcare regulatory workflows through cloud-native SaaS and DaaS architectures, with particular emphasis on Snowflake-enabled platforms for addressing the critical limitations of legacy healthcare infrastructure systems. The article shows the comprehensive migration from traditional on-premises solutions to cloud-based architectures that provide enhanced scalability, improved regulatory compliance management, and automated audit trail capabilities essential for modern healthcare operations. Through detailed article analysis of implementation methodologies and operational improvements, the article demonstrates how cloud-native platforms address fundamental challenges in healthcare data management, including insufficient scalability, inadequate data integration capabilities, and limited real-time analytics functionality. The article encompasses Electronic Data Interchange file generation, compliance dashboard development, client onboarding optimization, and comprehensive data lineage management within cloud environments. Key findings reveal substantial improvements in operational efficiency, cost reduction, data accessibility, and regulatory compliance adherence across healthcare organizations implementing comprehensive cloud migration strategies. The article provides strategic implications for healthcare organizations transitioning to cloud-centric operational models and offers practical recommendations for successful implementation approaches that prioritize clinical workflow continuity while maximizing transformation benefits through phased deployment strategies and comprehensive staff development programs.