AI-Powered Claims Processing Transformation: Automation, Analysis, and Fraud Detection

The healthcare industry is undergoing a profound digital transformation driven by artificial intelligence and cloud-native architectures, particularly in claims processing, provider networks, and eligibility verification. As legacy on-premises systems struggle to manage increasing data volumes, evolving regulations, and demands for real-time automation, cloud-native solutions on major platforms like Azure, AWS, and Google Cloud offer scalable and secure alternatives. This article examines how microservices, Kubernetes, serverless computing, and API-driven integrations are revolutionizing healthcare IT infrastructure. Through AI-powered claims adjudication, provider contract management, and fraud detection, healthcare payers can achieve enhanced efficiency and regulatory compliance. Case studies from leading organizations demonstrate practical implementations, providing insights into how these technologies improve processing times, interoperability, and patient outcomes in the healthcare ecosystem

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Publication Details

Journal
International Journal of Advances in Engineering and Management
Published
2025-04-01
DOI
https://doi.org/10.35629/5252-0704199207
Primary Topic
Imbalanced Data Classification Techniques
Type
article
Field-Weighted Citation Impact
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article

AI-Powered Claims Processing Transformation: Automation, Analysis, and Fraud Detection

Uday Bag Uday Bag
International Journal of Advances in Engineering and Management
Imbalanced Data Classification Techniques
article

AI-Powered Claims Processing Transformation: Automation, Analysis, and Fraud Detection

Uday Bag Uday Bag
article en

Abstract

The healthcare industry is undergoing a profound digital transformation driven by artificial intelligence and cloud-native architectures, particularly in claims processing, provider networks, and eligibility verification. As legacy on-premises systems struggle to manage increasing data volumes, evolving regulations, and demands for real-time automation, cloud-native solutions on major platforms like Azure, AWS, and Google Cloud offer scalable and secure alternatives. This article examines how microservices, Kubernetes, serverless computing, and API-driven integrations are revolutionizing healthcare IT infrastructure. Through AI-powered claims adjudication, provider contract management, and fraud detection, healthcare payers can achieve enhanced efficiency and regulatory compliance. Case studies from leading organizations demonstrate practical implementations, providing insights into how these technologies improve processing times, interoperability, and patient outcomes in the healthcare ecosystem

International Journal of Advances in Engineering and ManagementVol. 7(4)
Klinik und Poliklinik für Psychosomatik und Psychotherapie (DE)
Openalex Percentile: Top 97%
Imbalanced Data Classification Techniques
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