AI-driven intelligent document processing for healthcare and insurance

Ramesh Pingili

doi:10.30574/ijsra.2025.14.1.0194

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AI-driven intelligent document processing for healthcare and insurance

Ramesh Pingili ^*

ItechUS Inc., USA.

Research Article

International Journal of Science and Research Archive, 2025, 14(01), 1063-1077

Article DOI: 10.30574/ijsra.2025.14.1.0194

DOI url: https://doi.org/10.30574/ijsra.2025.14.1.0194

Publication history

Received on 09 December 2024; revised on 17 January 2025; accepted on 20 January 2025.

Abstract

Healthcare and insurance industries handle millions of documents daily, leading to administrative bottlenecks, errors, and inefficiencies. This paper explores AI-driven Intelligent Document Processing (IDP) for automating claims, medical records, and regulatory compliance documents. Integrating machine learning (ML), natural language processing (NLP), and RPA, IDP reduces document processing time by 80% and error rates by 90%. Case studies from top hospitals and insurers demonstrate AI’s role in streamlining workflows, enhancing patient care, and accelerating claims processing [1]. This research establishes IDP as a critical AI-driven transformation for document-heavy industries.

Keywords

Intelligent Document Processing (IDP); AI in Healthcare; AI in Insurance; Automated Claims Processing; Fraud Detection with AI; Regulatory Compliance Automation

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How to cite this article

Ramesh Pingili. AI-driven intelligent document processing for healthcare and insurance. International Journal of Science and Research Archive, 2025, 14(01), 1063-1077. Article DOI: https://doi.org/10.30574/ijsra.2025.14.1.0194.

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