Initiatives to Enhance Social Welfare through Health Service Reform Policies Utilizing Big Data Systems

Abstract

This article explores the impact of health service reform policies on social welfare by leveraging big data systems. The study highlights the growing importance of integrating technology-driven solutions in public health management to address complex social challenges. By reviewing existing literature, we analyze how big data can enhance decision-making processes in healthcare policy formulation and implementation. The reform of health services, particularly with the support of data analytics, is shown to improve efficiency and equity in resource distribution. Additionally, the use of big data contributes to a more accurate understanding of population health needs, enabling more targeted interventions. The study emphasizes the potential of big data in supporting evidence-based policymaking, which can significantly elevate social welfare outcomes. Findings from this review suggest that adopting data-driven health policies can bridge existing gaps in healthcare access and service delivery. While the adoption of big data systems presents opportunities, challenges such as data privacy and integration across platforms remain critical issues. Future policy reforms should focus on balancing technological advancements with ethical considerations to maximize social benefits.