Real-time data integration for healthcare fiscal sustainability
1 Maharishi International University.
2 Bournemouth University.
Review Article
World Journal of Advanced Research and Reviews, 2022, 16(02), 1322-1332
Article DOI: 10.30574/wjarr.2022.16.2.1198
Publication history:
Received on 03 October 2022; revised on 19 November 2022; accepted on 28 November 2022
Abstract:
The fiscal sustainability of healthcare systems has become a critical concern for policymakers in advanced economies, particularly in programs such as Medicare that face increasing financial pressures from demographic shifts, rising treatment costs, and administrative inefficiencies. This paper reviews the role of real-time data integration as a transformative mechanism for modernizing healthcare financial management and ensuring long-term fiscal resilience. Drawing on existing literature, the study synthesizes insights across information systems, data analytics, and public finance to construct a conceptual framework that connects machine learning, streaming analytics, and enterprise resource planning (ERP) systems. The analysis highlights how these technologies collectively enable continuous financial monitoring, predictive forecasting, and evidence-based decision-making. By linking fiscal management processes through integrated data architectures, healthcare organizations can transition from reactive to proactive governance, improving efficiency, transparency, and cost control. However, achieving these outcomes requires overcoming persistent challenges, including fragmented data infrastructures, workforce skill gaps, privacy concerns, and limited policy support for digital transformation. The paper concludes that real-time data integration represents not just a technological innovation but a structural reform imperative. Strengthening data governance frameworks, promoting interoperability, and fostering public–private partnerships are essential steps toward sustainable, data-driven healthcare financing in the United States.
Keywords:
Real-Time Data Integration; Healthcare Fiscal Sustainability; Machine Learning; Streaming Analytics; Enterprise Resource Planning; Medicare; Data Governance; Public Health Finance
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Copyright © 2022 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0