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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM58329

The Structural Shift: How Unified Claims Platforms Reshape Payer Economics

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM58329

Volume:

10 |

3 |

Mar 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM58329

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Nagabhushanam Bheemisetty

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Abstract

Healthcare claims processing is a significant operational cost for payers, yet most systems used are old and do not meet today’s high-volume, multi-regulatory environment. In this article, we propose a related strategic framework to transition healthcare organizations from fragmented, manual claims operations to unified, intelligent claims platforms. We provide evidence from recent implementations as well as the academic literature to make the case that consolidating legacy data systems, using machine learning to detect/fix fraud and adjudicate claims, and automating workflow orchestration can dramatically change how much it costs to do administrative work. The transformation proposed — built upon five foundational capabilities — will yield 15–30% lower administrative cost, 30–40% lower denial rework volumes, and positive ROI within 18–30 months. In addition, this transformation will transform claims processing into a strategic asset rather than a reactive liability, allowing for scalable growth, regulatory robustness, and an improved experience for key stakeholders.

KEYWORDS

Claims Processing Automation Healthcare Administrative Costs Machine Learning Fraud Detection Intelligent Adjudication Unified Data Architecture Value-Based Care Enablement

Cite This Article

Nagabhushanam Bheemisetty, "The Structural Shift: How Unified Claims Platforms Reshape Payer Economics," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 3, Mar 2026. https://doi.org/10.55041/IJSREM58329

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6/2/2026

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