Advancing Health Insurance Claims Automation with Optical Character Recognition

Authors

Syed Arham Akheel

Abstract

Health insurance claims processing is often delayed due to the complexity of handling unstructured data such as forms and receipts. This paper reviews the potential of Optical Character Recognition (OCR) and Natural Language Processing (NLP) technologies to automate information extraction from these documents. We examine recent advancements in OCR and NLP, evaluate their impact on efficiency in claims processing, and identify gaps in existing research. Our findings suggest that OCR and NLP integration holds promise for improving accuracy and reducing manual effort, but challenges in handling unstructured and diverse document formats remain.

Keywords

Optical Character Recognition (OCR), Natural Language Processing (NLP), Health Insurance Claims, Document Automation, Data Extraction, Machine Learning, Entity Recognition, Fraud Detection, Document Preprocessing, Automation, Claims Adjudication, Text Recognition

Advancing Health Insurance Claims Automation with Optical Character Recognition. Syed Arham Akheel. 2023. IJIRCT, Volume 9, Issue 2. Pages 1-12. https://www.ijirct.org/viewPaper.php?paperId=2412009