Intelligent bill solution |
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Product Function |
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Automatic classification of bills Support automatic recognition of materials such as medical record homepage, discharge summary, outpatient invoice, inpatient invoice, expense list, discharge record, outpatient fertility medical record, etc. |
Image quality inspection Support the detection of image quality for various bills and intelligent optimization of images. |
Intelligent seal recognition Support intelligent recognition of seals in bills and lists, and output seal location information and related confidence levels. |
Reasonableness identification of medical behavior By using big model technology to structurally identify and extract key fields, automatic review of medical violations can be carried out through professional medical knowledge. |
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Medical Knowledge Base Built in medical insurance three items, medical behavior violation knowledge base, etc., automatically prompt errors in recognition results. |
Highlight recognition results After text recognition, when checking the recognition content, the recognition differences can be identified by highlighting, making it convenient for staff to quickly review. |
Medical record homepage recognition It can intelligently identify the name, ID card number, telephone number, admission time, discharge time, primary diagnosis and secondary diagnosis on the front page of various disease pages. |
List type bill recognition It can identify the list details of various medical institutions across the country, support automatic correction of errors through A technology, and return credibility values for each item in the list. |
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Outpatient invoice/inpatient invoice recognition It can identify and extract key field information of outpatient/inpatient invoices from all over the country, and improve clarity through technical means to address the problem of unclear recognition effect of needle printers. |
Case identification Identifiable fields include name, hospital name, visit time, chief complaint, current medical history, past medical history, etc. And structurally extract primary and secondary diagnoses. |
Business Scenario |
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![]() Medical insurance sporadic reimbursement |
![]() Medical Business Claims |
Product Advantages |
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| High recognition accuracy By combining massive bills with big model technology for training and automatically classifying various bills for recognition, the accuracy of recognition can reach over 95%. |
| Adapt to various abnormal scenarios It can adapt to abnormal recognition scenarios, such as dim lighting, unclear seals, ghosting, needle printers, misalignment, etc. |
| Security technology escort Through data encryption technology, the sensitive information in the list, such as ID number, address, telephone, etc., is processed during data processing and labeling to ensure data security. |
| High stability Provide high reliability, elastic scalability, and high concurrency text recognition services. |
| Meeting the needs of multiple scenarios It can meet the scenarios of medical insurance, commercial insurance and other business fields, and can achieve violation review and intelligent fraud detection. |
| Customized development Customized development can be carried out according to your business scenario to make the product more suitable for your business scenario. |
Business Scenario |
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Support private deployment Support customer private deployment, implement functions within the customer's intranet or private cloud, and ensure data security. |
Offline recognition SDK Supporting mainstream platforms such as IOS and Android, providing comprehensive capabilities in terminal intelligent text recognition for various industries. |
Can provide hardware services Provide CPU/GPU servers equipped with recognition algorithm models, with multiple configurations available, integrated software and hardware, and ready to use out of the box. |