Insurance Claims Data Extraction System

Client:  A startup in the intelligent document processing field

Objective: Create an ecosystem for insurance agencies to digitize their claim processing efforts capable of automatically detecting insurance claim type and layout, extracting typed and handwritten text.

Results: We have created an AI-powered data extraction module for insurance claims that detects document structure and extracts relevant data in a matter of minutes. The module extracts data from the claims and prepares it for further processing.

• Detection Of Claim Type

The module detects claim type (medical, business, etc.) and its layout, extracts claim type and title, and supports batch processing.

• Processing Of Multiple Template Types

The AI module can work with various claim templates and designs, allowing for seamless data extraction from different claim types. The system can detect input fields and determine their type, like free-form text boxes, time and date fields, and more, as well as extract the data from the fields.

• Input Field Detection

The AI module can detect multiple input field types, and extract data accordingly, for instance, it can detect checkboxes to determine which of the multiple options was marked.

• Detection Of Tables And Table Cells

Claims our client works with often include tables with important data that needs to be extracted and processed. The module we have developed can analyze tables of any complexity, detect table cells, extract table titles and its content into an Excel file for further editing.