Claims Summarization

This PoC demonstrates the summarization of insurance claims using AI models. Adjusters can upload documents (Loss Reports, Policy Documents, Medical Reports, Repair Estimates, Legal Documents) and receive concise summaries, reducing review time and improving efficiency.

Target Users

Claims Adjusters
Claims Analysts
Claims Managers

Business Benefits

Enhanced operational efficiency
Reduced processing time
Improved accuracy and consistency
Better resource allocation

How It Works

Claims adjusters spend significant time manually reviewing lengthy and complex documents, which slows down claims resolution and increases operational costs. This PoC introduces an AI-powered solution that automatically summarizes key insurance documents—such as Loss Reports, Policy Documents, Medical Reports, and Legal Opinions—enabling adjusters to quickly grasp the most important information and make faster, more informed decisions using Generative AI several chunking strategies to retain information over 100s of pages.

Operational Impact

Reduced document review time
Increased operational efficiency
Shortened claims cycle times

Customer Impact

Improved customer satisfaction
Faster claims resolution

Business Context

Claims adjusters process various documents, from Loss Reports to Legal Opinions. On average, it takes 30 minutes to several hours to review these documents due to their volume and complexity. This manual process slows decision-making, increases the likelihood of errors, and adds to the claims cycle time.

Problem Statement

Adjusters need an automated solution that can quickly and accurately summarize key documents (Loss Reports, Policy Documents, Medical Reports, Repair Estimates, and Legal Documents) to streamline the review process.

Impact and Importance

Reducing document review time will increase operational efficiency, shorten claims cycle times, and improve customer satisfaction. By automating the summarization of key documents, adjusters can focus on high-level decision-making, reducing repetitive tasks and delays.

Developer Setup

To set up and run this PoC locally, follow these steps:

Ensure you have Python 3.9+ and Flask installed on your system.
Clone the repository containing the PoC code. Navigate to the folder and install the dependencies:
```
pip install -r requirements.txt
```
Ensure the Flask service is running on localhost:5000 by executing:
```
flask run
```
Upload documents via the PoC front end for summarization.

How to Use This PoC

Follow these steps to use the PoC:

Click the &quote;Choose File&quote; button and select a document (.txt, .pdf, .docx).
Click &quote;Upload and Summarize&quote; to send the file to the Flask service.
Wait for the response, which will return a summary of the document.
The summarized text will be displayed in Markdown format on the page.