Enhancing Health Data Governance Through Agile Scrum Practices and Sprint Metrics for Effective Stakeholder Collaboration and Delivery

Abstract

The increasing complexity of digital health ecosystems has intensified the need for adaptive health data governance models capable of supporting interoperability, regulatory compliance, and collaborative delivery. This study examines how Agile Scrum practices and sprint metrics enhance health data governance effectiveness within healthcare information systems. Using a mixed-methods research design, the study evaluates Scrum adoption across selected healthcare IT initiatives, analyzing governance structures, stakeholder collaboration patterns, sprint performance metrics, and delivery outcomes. Findings indicate that embedding governance activities within Agile ceremonies improves decision-making transparency, accountability, and responsiveness to regulatory requirements. Sprint metrics such as velocity, predictability, and cycle time were found to function not only as delivery indicators but also as governance instruments that enhance risk visibility, stakeholder alignment, and compliance monitoring. Empirical results demonstrate improvements in timeliness, deliverable quality, and reduction of rework and governance-related conflicts compared with traditional plan-driven governance approaches. The study further shows that clearly defined Scrum roles strengthen ownership and accountability in data stewardship processes, enabling continuous governance validation throughout development cycles. The discussion advances Agile governance theory by reframing iterative workflows as mechanisms for operational governance rather than purely technical delivery frameworks. Practical implications highlight strategies for healthcare organizations seeking to balance Agile flexibility with stringent regulatory demands. Overall, the research establishes Agile Scrum as a viable governanceenabling framework capable of improving collaboration, delivery performance, and institutional resilience in modern healthcare information environments.