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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM58329
Volume:
10 |
3 |
Mar 2026
Pages:
Publication Frequency:
Monthly (12 issues per year)
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.
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.
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Publication Date
6/2/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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