Medical Claims Processor
Claims Optimization
Problem
The client faced significant challenges in processing claims received from various hospitals due to inconsistent document formats.
Solution
A solution was implemented that leverages AI models to automatically detect and extract relevant fields from claims documents, regardless of format, through an API.
Outcome
The solution greatly reduced processing time, enabling the detection and extraction of information within minutes of receiving the claims documents.



A format-agnostic solution to easily process claims.
The client, a fintech company, faced challenges in processing medical claims from multiple hospitals due to inconsistencies in the format of the insurance claim documents. To overcome this, a solution was designed to automate the claims process and standardize the document consolidation workflow. By using computer vision, NLP, and machine learning models, the system extracted relevant information from various document formats received through an API, enabling consistent and accurate processing.



The solution dramatically improved efficiency by indexing claim-related documents within minutes of receipt, allowing for easy retrieval through an API call. This streamlined approach saved over 2,000-man days annually, significantly speeding up the claims adjudication process and reducing manual effort.
Consistent Processing, Significant Time Savings
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