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
Authors
- Uday Bag Uday Bag
Institutions
- Klinik und Poliklinik für Psychosomatik und Psychotherapie (DE)
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
- 0.00