AI transformation in healthcare claims processing: Technical overview
Year: 2025
Type: article
Abstract: The healthcare claims processing domain is experiencing a significant transformation through the integration of artificial intelligence technologies. This transformation encompasses several key components: machine learning frameworks for predictive adjudication, natural language processing implementations for document analysis, robotic process automation architectures for workflow optimization, and sophisticated fraud detection systems. These technologies collectively enhance accuracy, accelerate processing times, reduce fraudulent activities, and ensure compliance with evolving regulatory frameworks. While offering substantial benefits, AI implementation presents challenges, including data standardization across disparate sources, computational infrastructure requirements, model explainability concerns, system interoperability issues, continuous model retraining needs, and privacy considerations for sensitive patient data. The integration of these technologies represents a paradigm shift in claims processing, establishing new standards for operational efficiency while navigating complex implementation barriers.
Author: Vedicherla, Nagaraju
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W7107964312
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