Smart document processing

AI-Powered Document Processing for Smarter Health Insurance Workflows.

The Customer

The LCM is among the largest health care organizations in Belgium that offers quality health at a low cost, but also takes good care of its members. LCM works to assure improvements in well-being through the range of services for health and prevention, as well as financial assistance to maintain access to quality care for individuals and families in Belgium.

The Problem

CM processes 5 million handwritten reimbursement documents each month, but the current scanner often fails to recognize handwriting accurately. As a result, employees still spend a lot of time manually reading and typing information from paper documents into the system.

The Goal

Implement a reliable solution that accurately recognizes and processes handwritten reimbursement documents, reducing the need for manual data entry and enabling employees to focus on higher-value tasks.

The Steps

1

Discover & Inspire

Tensr organised workshops with two main goals:
understanding existing business processes and educating LCM on what AI is and how to apply it to gain business value from it.

2

Strategise & Ideate

Tensr was responsible for translating business requirements into functional and technical solutions. A data and AI strategy were developed to ensure long term success.

3

Prototype

To ensure success, various prototypes were developed. Initially these prototypes used existing APIs for rapid iterations. These benchmarks were compared to existing solutions to illustrate the added value and demonstrated superior performance of later versions. These prototypes were crucial to ensure feasibility of the solutions.

4

Build

Our consultants integrated with the LCM development team to build, train and deploy AI models in a largely automated way. Microservices for image processing were also developed, tested and released to support the AI solutions.

5

Deploy

As part of integrating with the LCM technology stack and to guarantee consistent performance and reliability, we defined and setup AI model performance tests. This ensures that the solutions are able to process up to 100,000 certificates per day, while maintaining visibility on performance, resource management and security.

6

Support & Train

To ensure the customer remains in full control, we provided monitoring and quality assurance tools. We also gave knowledge transfers as part of the handover process and still provide support for the customers production teams.

The Solution

Using advanced preprocessing techniques we extract handwriting from the documents. Each document passes through several smart models that categorise each document after which we extract relevant fields from each document and pass it through our deep ML models. Finally we determine if a document can be processed automatically or first needs to be validated by an operator.

Customer gain

Due to the addition of AI we’ve been able to speed up the intake process of health insurance documents with a higher percentage of forms recognized thanks to the AI. This eventually leads to a faster reimbursement of healthcare costs for the customers and higher customer satisfaction.