AI and Human Collaboration in Claims Processing: Optimizing the Hybrid Approach for Healthcare Payers

AI is revolutionizing claims adjudication while maintaining essential human oversight in healthcare payment systems. This article examines the symbiotic relationship between advanced AI technologies and human expertise in modern claims processing. By exploring implementations at leading insurers like AmeriHealth, Cigna, and Blue Cross, we demonstrate how this collaborative approach enhances accuracy, prevents fraud, and ensures regulatory compliance. The integration of machine learning for pattern recognition, natural language processing for documentation review, and human judgment for complex determinations creates a robust framework that balances efficiency with quality care. Healthcare payers seeking to optimize their claims operations will discover actionable strategies for implementing hybrid systems that leverage the strengths of both artificial intelligence and human specialists while navigating the evolving regulatory landscape.

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Publication Details

Journal
International Journal of Scientific Research in Computer Science Engineering and Information Technology
Published
2025-03-30
DOI
https://doi.org/10.32628/cseit25112747
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

AI and Human Collaboration in Claims Processing: Optimizing the Hybrid Approach for Healthcare Payers

Uday Bag Uday Bag
International Journal of Scientific Research in Computer Science Engineering and Information Technology
Artificial Intelligence in Healthcare and Education
article

AI and Human Collaboration in Claims Processing: Optimizing the Hybrid Approach for Healthcare Payers

Uday Bag Uday Bag
article en

Abstract

AI is revolutionizing claims adjudication while maintaining essential human oversight in healthcare payment systems. This article examines the symbiotic relationship between advanced AI technologies and human expertise in modern claims processing. By exploring implementations at leading insurers like AmeriHealth, Cigna, and Blue Cross, we demonstrate how this collaborative approach enhances accuracy, prevents fraud, and ensures regulatory compliance. The integration of machine learning for pattern recognition, natural language processing for documentation review, and human judgment for complex determinations creates a robust framework that balances efficiency with quality care. Healthcare payers seeking to optimize their claims operations will discover actionable strategies for implementing hybrid systems that leverage the strengths of both artificial intelligence and human specialists while navigating the evolving regulatory landscape.

International Journal of Scientific Research in Computer Science Engineering and Information TechnologyVol. 11(2)
Cognizant (United States) (US)
Openalex Percentile: Top 96%
Artificial Intelligence in Healthcare and Education
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AI and Human Collaboration in Claims Processing: Optimizing the Hybrid Approach for Healthcare Payers — Uday Bag Uday Bag · International Journal of Scientific Research in Computer Science Engineering and Information Technology (2025) | TGRS Research Map | TGRS