Enhancing Healthcare Claim Processing with Generative AI: Leveraging AWS Bedrock and SageMaker for Efficiency and Accuracy
Healthcare claims processing faces significant challenges in managing operational efficiency and cost-effectiveness while maintaining regulatory compliance. Integrating Generative AI technologies, specifically through AWS Bedrock and SageMaker platforms, offers transformative solutions for automating and optimizing claims processing workflows. Implementing these advanced technologies substantially improves processing speed, accuracy, and cost reduction across various healthcare organizations. Through intelligent document processing, anomaly detection, fraud prevention, and predictive adjudication capabilities, healthcare providers have significantly reduced administrative overhead while improving claims accuracy and processing efficiency. AI-driven solutions have enabled healthcare organizations to streamline operations, reduce manual intervention requirements, and enhance overall claims management effectiveness. These implementations have demonstrated marked improvements in provider satisfaction, reduced processing times, and increased operational efficiency while maintaining high accuracy standards and regulatory compliance.
Authors
- P. Ravindran (ORCID: https://orcid.org/0000-0003-4611-011X)
Publication Details
- Journal
- International Journal on Science and Technology
- Published
- 2025-03-28
- DOI
- https://doi.org/10.71097/ijsat.v16.i1.2961
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00