A medical document identification method and a computer readable storage medium

Abstract

The invention provides a method for identifying medical documents. The medical document reimbursement method comprises the following steps that identification information and cost information on a medical document are obtained according to a pre-trained area recognition model and a pre-trained character recognition model, the medical document is connected to a corresponding information database, reimbursement reference information corresponding to the medical document is obtained from the information database, and reimbursement information of the medical document is obtained. According to themedical document identification method provided by the invention, not only can medical insurance reimbursement information and / or commercial insurance reimbursement information be obtained, but also prompts of reimbursement materials and reimbursement modes needing to be provided can be obtained; and furthermore, the medicine information and the taking prompt are obtained to facilitate the use ofthe user. Meanwhile, for the reimbursement mechanism, the category and the amount of money are automatically identified, automatic calculation of the reimbursement amount and automatic payment are realized, and the manpower auditing cost is saved.

Description

technical field [0001] The invention belongs to the technical field of document identification, and in particular relates to a medical document identification method and a computer-readable storage medium. Background technique [0002] In the existing technology, some medical documents such as invoices or expense settlement lists issued by hospitals or pharmacies do not have medical insurance reimbursement information; The reimbursement for medical treatment in different places is also relatively complicated. It is difficult for ordinary users to distinguish the specific reimbursement content and reimbursement ratio in the face of these medical documents. [0003] At the same time, with the improvement of people's insurance awareness, people will purchase additional commercial insurance by themselves or by the company. There are many types of such commercial insurance, including medical insurance, critical illness insurance, and accident insurance. Different amounts may have...

AI Technical Summary

Problems solved by technology

[0002] In the existing technology, some medical documents such as invoices or expense settlement lists issued by hospitals or pharmacies do not have medical insurance reimbursement information; Reimbursement for medical treatment in different places is also more complicated. It is difficult for ordinary users to distinguish the specific reimbursement content and reimbursement ratio in the face of these medical documents

[0003] At the same time, with the improvement of people's insurance awareness, people will purchase additional commercial insurance by themselves or by the company. There are many types of such commercial insurance, including medical insurance, critical illness insurance, and accident insurance. Different amounts may have different restrictions. Mainland insurance, Hong Kong insurance, foreign insurance, some users have multiple different commercial insurances, which ones can be reimbursed and which ones can be superimposed, all have different clauses, reimbursement ratios and scopes are different, and the medical documents of the prior art, Usually there is no commercial insurance reimbursement information, facing medical documents, ordinary users cannot distinguish the specific reimbursement content and reimbursement ratio of commercial insurance

[0004] Furthermore, because it is difficult to distinguish specific insurance reimbursement information, it is difficult for ordinary users to grasp the materials and / or reimbursement methods that need to be provided for reimbursement, resulting in easy omission of reimbursement for a certain insurance, or even forgetting to submit and missing the reimbursement opportunity, which affects the later reimbursement processing. Bring unnecessary economic losses to users

Images