Technology Empowerment | Mintai'an Medical Bill Correction and Review System Helps the High Quality Development of the Insurance Industry

In recent years, with the continuous enhancement of people's insurance awareness, the insurance industry has gradually embarked on a rapid growth path. The high insurance coverage rate and high odds often come with the processing of a large amount of unstructured information, which often requires a significant amount of manpower to input and review documents, medical receipts, and other information. However, such low value-added labor costs are high, the process is slow, prone to errors and omissions, and the cycle is long, which cannot meet customers' needs and experiences for efficiency, and also leads to an increase in comprehensive costs for insurance companies.

Taking into account the above factors, Mintai'an has launched the "Medical Bill Correction and Review System" to help the insurance industry improve its ability to extract bill information and empower high-quality development through a "technology+service" approach.

Full chain medical bill information extraction

The system utilizes OCR technology to achieve automatic text extraction. Provide automatic watermark removal and quick correction tools to achieve professional and fast auditing; Classify, calibrate, and review the entire chain of operations.

1、 Image classification

The system can instantly identify and distinguish bill types and regions, intelligently sort medical bills, lists, personal documents, invoices and other bill types, and intelligently review whether the materials submitted by customers are complete without the need for claims personnel to sort them again.

2、 Result correction

Capable of OCR recognition and analysis of all types of documents and receipts, with high-quality recognition rate, capable of deep knowledge analysis and refinement of complex non-standard medical documents (such as discharge summaries).

3、 Result review

Support structured data output according to customer requirements, can reorganize recognition results, output standard fields according to unified rules, and achieve data integration with other third-party systems.

System application scenarios

1. TPA semi process: medical document classification, document recognition, in conjunction with backend review and data services, undertaking TPA semi process business for insurance companies;

2. Card identification: Replace the fixed format card identification such as ID card, bank card, chassis number, driving license, and driver's license that need to be purchased;

3. Image table recognition: Quickly recognize and automatically input scanned images of financial reimbursement forms and business list forms;

Our advantages

1. Artificial Intelligence: Based on the foundation of artificial intelligence deep learning platform, independently customized and developed, and built Mintai'an's own OCR model.

2. Multiple recognition algorithms: including watermark blurring, automatic table framing, automatic cropping, batch processing, and other algorithms.

3. Multiple auxiliary tools: Develop individual recognition, batch recognition, intelligent sorting, information templates and other auxiliary tools for complex medical bill scenarios.

4. "Technology+Service": With the concept of "technology+service", mobilize the operational human resources of Mintai'an, and ensure accuracy through the correction and review of results.