Management Perspectives on Data Governance in Healthcare Cloud Systems

Abstract

The rapid migration of healthcare data to cloud platforms has revolutionized medical service delivery, research, and patient engagement. However, this transformation has also amplified the Date of Publication: 25-05-2026 HIPAA, GDPR, and HITECH, alongside governance models like data stewardship, metadata management, and accountability structures. Through a synthesis of literature, casebased evaluation, and empirical methodology, the study analyzes complexity of data governance— encompassing privacy, security, compliance, and ethical considerations. From a management perspective, ensuring robust data governance in healthcare cloud systems is a multidimensional challenge that intersects policy frameworks, technological controls, and organizational culture. This manuscript explores how healthcare organizations establish and manage governance frameworks that balance innovation with risk mitigation. It reviews industry standards such as managerial practices for implementing governance controls across hybrid and multi-cloud environments. The results demonstrate that effective governance correlates strongly with improved regulatory compliance, operational transparency, and patient trust. Yet, constraints such as interoperability gaps, resource scarcity, and ambiguous accountability persist. The study concludes that management must adopt a unified data strategy integrating AIdriven auditing, zero-trust architectures, andcross-functional data stewardship councils to ensure long-term governance resilience. Enhanced collaboration among clinical, IT, and compliance teams, backed by continuous policy refinement, can transform cloud-based healthcare systems into secure, compliant, and patient-centric ecosystems.