Transforming Value Care with Scalable Data Pipelines: Enabling Real-Time Insights for Improved Outcomes

Sravanthi Kalapati ()

Journal of Technology and Systems, 2025, vol. 7, issue 2, 1 - 6

Abstract: Purpose: This paper aims to explore the transformative role of scalable data pipelines in enabling real-time insights essential for the success of Value-Based Care (VBC). It examines how these pipelines support efficient data integration, real-time analytics, and actionable insights, driving improved healthcare outcomes. Methodology: A qualitative research design was adopted, leveraging case studies and data analytics models to investigate the impact of scalable data pipelines on healthcare efficiency and patient care optimization. Data was collected from electronic health records (EHRs), claims systems, and patient interactions to assess real-time processing and integration strategies. Findings: The study found that scalable data pipelines significantly enhance operational efficiency, reduce manual errors, and optimize clinical workflows. Real-time data integration facilitated informed decision-making, improved patient outcomes, and supported financial sustainability for healthcare organizations. Unique Contribution to Theory, Practice, and Policy: This paper contributes to theoretical knowledge by expanding on the application of scalable data pipelines in VBC. Practically, it provides actionable insights for healthcare providers to implement real-time analytics. Policy-wise, it emphasizes the importance of data standardization and interoperability for effective VBC models.

Keywords: Value-Based Care; Scalable Data Pipelines; Real-Time Insights; Healthcare Analytics; Predictive Analytics; Data Integration; Healthcare Efficiency; Regulatory Compliance (search for similar items in EconPapers)
Date: 2025
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