CN109711402B - Medical document identification method and computer-readable storage medium - Google Patents
Medical document identification method and computer-readable storage medium Download PDFInfo
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- CN109711402B CN109711402B CN201811534174.0A CN201811534174A CN109711402B CN 109711402 B CN109711402 B CN 109711402B CN 201811534174 A CN201811534174 A CN 201811534174A CN 109711402 B CN109711402 B CN 109711402B
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Abstract
The invention provides a medical document identification method, which comprises the following steps: and acquiring identification information and cost information on the medical bill according to a pre-trained area recognition model and a pre-trained character recognition model, connecting the identification information and the cost information to a corresponding information database, acquiring reimbursement reference information corresponding to the medical bill from the information database, and acquiring reimbursement information of the medical bill. The medical document identification method provided by the invention can not only obtain medical insurance reimbursement information and/or commercial insurance reimbursement information, but also further obtain the prompt of reimbursement materials and reimbursement modes required to be provided; furthermore, medicine information and taking prompts are obtained, and the use by a user is facilitated. Meanwhile, for the reimbursement mechanism, categories and amounts are automatically identified, the reimbursement amount is automatically calculated and automatically made, and the manpower auditing cost is saved.
Description
Technical Field
The invention belongs to the technical field of document identification, and particularly relates to a medical document identification method and a computer readable storage medium.
Background
In the prior art, medical documents such as invoices or expense settlement lists issued by hospitals or drugstores have no medical insurance reimbursement information; some medical insurance reimbursement information is not visual and specific enough, especially different medical insurance reimbursement proportions of cities and towns and rural villages, different outpatient services and hospitalization reimbursement, and reimbursement for a doctor in a different place is complicated, and a common user is faced with the medical documents and is difficult to distinguish the specific reimbursement content and reimbursement proportion.
Meanwhile, with the improvement of insurance awareness of people, people can purchase additional commercial insurance by themselves or companies, the commercial insurance has various types, medical insurance, serious insurance, accident insurance and different amount of money can be limited, inland insurance, hong Kong insurance and foreign insurance, some users have multiple different commercial insurance, which can be reimbursed, which can be superposed and have different terms, reimbursement proportion and range are different, and medical documents in the prior art usually have no commercial insurance reimbursement information, and facing to medical documents, ordinary users cannot distinguish the specific reimbursement content and reimbursement proportion of the commercial insurance.
Further, since it is difficult to distinguish the specific insurance reimbursement information, the ordinary user is difficult to grasp the material and/or reimbursement mode that needs to be provided for reimbursement, which results in that reimbursement of a certain insurance is easily missed, even if the user forgets to submit the insurance reimbursement information, the reimbursement opportunity is missed, the post reimbursement processing is affected, and unnecessary economic loss is brought to the user.
Disclosure of Invention
The invention provides a medical document identification method for solving the problems in the prior art.
In order to achieve the purpose, the invention is realized by the following technical scheme: a medical document identification method, comprising the steps of:
s1: identifying a first area and a second area on the medical document according to a pre-trained area identification model;
s2: acquiring first information corresponding to the first area and second information corresponding to the second area according to a pre-trained character recognition model;
s3: connecting an information database corresponding to the first information according to the first information, and acquiring reference information from the information database according to the second information;
s4, obtaining the identification information of the medical bill according to the second information and the reference information;
wherein the first information comprises identification information on the medical document;
the second information comprises cost information on the medical document;
the reference information comprises reimbursement reference information corresponding to the medical document;
the identification information comprises reimbursement information corresponding to the medical document.
Preferably, in step S1, the region identification model is obtained by the following process: labeling each medical receipt image sample in a first medical receipt image sample set to label each of a plurality of areas in each medical receipt image sample;
and training a first neural network by using the first medical document image sample set processed by the marking so as to obtain the region identification model.
Preferably, in step S2, the character recognition model is obtained by: labeling each medical document image sample in a second medical document image sample set to label characters in each of a plurality of areas in each medical document image sample;
and training a second neural network by using the second medical document image sample set subjected to the labeling processing to obtain the character recognition model.
Preferably, the method further comprises the following steps before step S1: and identifying the type of the medical document according to a pre-trained type identification model, and determining a corresponding region identification model according to the type.
Preferably, the first information includes a name of the biller and a name of the user; the second information includes a charge name, a quantity, an individual amount, a total amount, and a date.
Preferably, at least one of the information databases in step S3, the reference information includes reimbursement proportion and/or reimbursement range obtained from at least one of the information databases;
in step S4, the identification information includes an actual reimbursement proportion, an actual reimbursement classification and/or actual reimbursement information corresponding to the medical document.
Preferably, the information database in step S3 includes a medical insurance database, and user region information and medical insurance category information are acquired from the medical insurance database, so as to obtain the reference information, where the reference information includes a medical insurance reimbursement proportion and/or a medical insurance reimbursement range acquired from the medical insurance database;
in step S4, the identification information includes an actual medical insurance reimbursement proportion, an actual medical insurance reimbursement classification, and/or actual medical insurance drug reimbursement information corresponding to the medical document.
Preferably, the information database in step S3 includes a business insurance database, and user business insurance information is obtained from the business insurance database, so as to obtain the reference information, where the reference information includes business insurance reimbursement proportion and/or business insurance reimbursement range obtained from the business insurance database;
step S4, the identification information includes an actual commercial insurance reimbursement proportion, an actual commercial insurance reimbursement classification and/or actual commercial insurance reimbursement information corresponding to the medical document.
Preferably, the identification information of step S4 further includes insurance remaining reimbursement amount, material required for insurance reimbursement, and/or reimbursement method.
The invention also provides a computer readable storage medium having computer executable instructions stored thereon which, when executed, implement a medical document identification method as in any one of the above.
The invention has the beneficial effects that: the medical document identification method provided by the invention can directly acquire medical insurance reimbursement information and/or commercial insurance reimbursement information by shooting the invoice or document, and further acquire the prompt of reimbursement materials and reimbursement modes; furthermore, medicine information and taking prompts are obtained, and the use by a user is facilitated. Meanwhile, for the reimbursement mechanism, categories and amounts are automatically identified, the reimbursement amount is automatically calculated and automatically made, and the manpower auditing cost is saved.
Drawings
FIG. 1 is a flow chart of a medical document identification method according to an embodiment of the invention;
fig. 2 is a flowchart of a medical document identification method according to a first embodiment of the present invention;
fig. 3 is a flowchart of a medical document identification method according to a second embodiment of the present invention.
Detailed Description
The core idea of the invention is to provide a medical document identification method, which obtains medical insurance reimbursement information and/or commercial insurance reimbursement information, and further obtains the prompt of reimbursement materials and reimbursement modes; furthermore, medicine information and taking prompts are obtained, and the use by a user is facilitated.
In order to realize the thought, the invention provides a medical document identification method, which comprises the following steps:
s1: identifying a first area and a second area on the medical document according to a pre-trained area identification model;
s2: acquiring first information corresponding to the first area and second information corresponding to the second area according to a pre-trained character recognition model;
s3: connecting an information database corresponding to the first information according to the first information, and acquiring reference information from the information database according to the second information;
s4, obtaining the identification information of the medical bill according to the second information and the reference information;
wherein the first information comprises identification information on the medical document;
the second information comprises cost information on the medical document;
the reference information comprises reimbursement reference information corresponding to the medical document;
the identification information comprises reimbursement information corresponding to the medical document.
To make the objects, advantages and features of the present invention more apparent, a medical document identification method according to the present invention will be described in further detail with reference to fig. 1-3. It is to be noted that the drawings are in a very simplified form and are not to precise scale, which is provided solely for the purpose of facilitating and distinctly claiming the embodiments of the present invention.
First, it should be noted that the medical document referred to in the present invention refers to an entity on which information is recorded, which is set on the medical document in a certain mode and expressed in one or more of chinese characters, foreign characters, numerals, symbols, and the like. Some specific examples of the medical documents include various medical documents filled in manually and/or by machine, such as an expense invoice, receipt, or charge settlement list for a hospital or pharmacy. It will be understood by those skilled in the art that the medical documents referred to in the present invention are not limited to the specific examples listed above, nor to medical documents having official stamps thereon, and may be medical documents having printed fonts, or medical documents having handwritten fonts, or medical documents having a prescribed and/or universal format, or medical documents not having a prescribed and/or universal format.
As shown in fig. 1, a flowchart of a medical document identification method according to an embodiment of the present invention includes the following steps:
s1: identifying a first area and a second area on the medical document according to a pre-trained area identification model;
the region identification model is obtained through the following processes: labeling each medical document image sample in a first medical document image sample set to label each of a plurality of areas in each medical document image sample;
and training a first neural network by using the first medical document image sample set processed by the marking so as to obtain the region identification model.
The first medical document image sample refers to medical documents of the same category displayed in a visual mode, such as pictures, videos and the like of the medical documents; for example, the medical documents are all invoice.
S2: acquiring first information corresponding to the first area and second information corresponding to the second area according to a pre-trained character recognition model; wherein the first information comprises identification information on the medical order; the second information includes cost information on the medical document.
In an embodiment of the present invention, the first information includes a name of an invoicer and a name of a user; the second information includes a charge name, a quantity, an individual amount, a total amount, and a date.
The character recognition model is obtained through the following processes: labeling each medical document image sample in a second medical document image sample set to label characters in each of a plurality of areas in each medical document image sample; and training a second neural network by using the second medical document image sample set subjected to the labeling processing to obtain the character recognition model.
S3: connecting an information database corresponding to the first information according to the first information, and acquiring reference information from the information database according to the second information;
the information database is at least one, and the reference information comprises reimbursement proportion and/or reimbursement range acquired from at least one information database; in particular embodiments of the present invention, the information base includes, but is not limited to, a medical insurance database, a commercial insurance database, a drug information database, and/or a treatment information database.
The reference information includes reimbursement reference information corresponding to the medical document.
S4, obtaining the identification information of the medical bill according to the second information and the reference information;
the identification information comprises the actual insurance reimbursement proportion, the actual reimbursement classification and/or the actual reimbursement information corresponding to the medical document.
In another embodiment of the present invention, the method further includes the following steps before step S1: and identifying the category of the medical document according to a pre-trained category identification model, and determining a corresponding region identification model according to the category.
The category identification model is obtained through the following processes: labeling each medical document image sample in the third medical document image sample set to label the category of each medical document image sample;
and training a third neural network by using the labeled third medical document image sample set to obtain the category identification model.
The method for identifying a medical document according to the present invention will be described in more detail with reference to more specific embodiments.
< example one >
The method for identifying a medical document of the embodiment is used for acquiring actual medical insurance reimbursement information of a user, and is a flow chart of the method for identifying the medical document of the embodiment of the invention as shown in fig. 2, and comprises the following steps:
the first step is as follows: identifying a name identification area and a cost area on the medical document
In this embodiment, the first area includes a name identifier area, and the second area includes a fee area.
The second step is that: the name of the invoicer and the name of the user are obtained, as well as the name, the number, the amount of the single fund, the total amount and the date of the fee.
The first information comprises a name of an invoicer and a name of a user; the second information includes a charge name, a quantity, an individual amount, a total amount, and a date.
Because the reimbursement relates to the problem of surplus limit, the expense documents of others are prevented from being wrongly identified and counted into the reimbursement, and the name of the invoicing party and the name of the user are identified;
identifying the charge names, such as registration charges, treatment charges, inspection charges, examination charges, bed charges, hospitalization charges, nursing charges, operation charges, material charges or medicine charges, wherein the charges have different names, and if the types of medical insurance reimbursement exist, the charges are also identified, such as medical insurance type A, medical insurance type B, medical insurance type C and the like, and the quantity and the charge amount are identified, and the total amount is identified to calculate the actual reimbursement amount; a date is identified for determining whether it is within reimburseable range.
The third step: connecting to a medical insurance database according to the user information, and acquiring the user region information and the medical insurance type information from the medical insurance database to obtain the medical insurance reimbursement proportion and/or the medical insurance reimbursement range
Acquiring user regional information and social insurance type information, wherein the medical insurance type information refers to the type of participation of users, and the current medical insurance type includes the situations of new rural cooperative medical care, urban resident medical insurance, employee medical insurance, self-charge and the like. The reimbursement proportions and ranges of different insurance types are different, the reimbursement proportions and the drug reimbursement ranges of different regions are possibly different, users can select regional information such as provincial region information, and simultaneously select urban or rural medical insurance information, and specific reimbursement proportions and medical insurance reimbursement ranges are directly obtained from a medical insurance database.
The fourth step: obtaining the actual medical insurance reimbursement proportion, the actual medical insurance reimbursement classification and/or the actual medical insurance drug reimbursement information according to the charge name, the number, the single amount, the total amount and the date, the medical insurance reimbursement proportion and the medical insurance reimbursement range
And calculating medical insurance reimbursement classification and amount according to the medical insurance reimbursement proportion and/or the medical insurance reimbursement range, such as the amount of reimbursement of each item, the total amount of reimbursement and the remaining medical insurance reimbursement amount.
In other embodiments, the identification information further includes materials and/or reimbursement modes required for reimbursement of medical insurance in a remote location, in which the user needs to provide bills and proof materials for reimbursement after paying. The trouble that ordinary users may lack medical insurance reimbursement materials in different places and/or the reimbursement mode is unclear is well avoided.
< example two >
The method for identifying a medical document provided by the embodiment is used for acquiring actual commercial insurance reimbursement information of a user, and is a flow chart of the method for identifying the medical document according to the embodiment of the invention, as shown in fig. 3, and comprises the following steps:
the first step is as follows: identifying a name identification area and a cost area on the medical document
In this embodiment, the first area includes a name identifier area, and the second area includes a fee area.
The second step is that: acquiring the name of an invoicing party and the name of a user; as well as the name of the fee, the amount of the individual funds, the total amount, and the date.
Acquiring a name of an invoicing party from the medical document according to the character recognition model, wherein the name of the invoicing party is a hospital or a pharmacy for the user to see a doctor;
the first information comprises a name of an invoicer and a name of a user; the second information includes a charge name, a quantity, an individual amount, a total amount, and a date.
Because the reimbursement relates to the problem of surplus limit, the expense documents of others are prevented from being wrongly identified and counted into the reimbursement, and the name of the invoicing party and the name of the user are identified;
identifying the charge names, such as registration charges, treatment charges, inspection charges, examination charges, bed charges, hospitalization charges, nursing charges, operation charges, material charges or medicine charges, wherein the charges have different names, and if the charges are of different types, the charges are also identified, the amount and the charge amount are identified, and the total amount is identified to calculate the actual reimbursement amount; a date is identified for determining whether it is within reimburseable range.
The third step: connecting to the commercial insurance database according to the user information, and acquiring the commercial insurance reimbursement proportion and/or the commercial insurance reimbursement range from the commercial insurance database
Different types of commercial insurance covered by different users are different, and different insurance types and different covered money amounts correspond to different coverage ranges, coverage proportions and coverage amounts, so that the users are required to fill out the names and the information of covered money amounts of the commercial insurance in advance, and the information of the commercial insurance of the users is connected to a commercial insurance database covered by the users according to the information of the users to obtain the information of the commercial insurance of the users, thereby obtaining the information of the coverage proportion and the drug coverage range of the commercial insurance of the users.
The fourth step: and obtaining the actual commercial insurance reimbursement proportion, the actual commercial insurance reimbursement classification and/or the actual commercial insurance drug reimbursement information according to the expense name, the amount, the single amount, the total amount and the date, the commercial insurance reimbursement proportion and the commercial insurance reimbursement range.
Through the above disclosure of the embodiment, the commercial insurance reimbursement mechanism can identify the time, the place, the name of the hospital or pharmacy, the goods or the service, the part and the amount of reimbursement according to the user insurance information and the bills such as the medical invoice uploaded by the user, obtain the reimbursement amount according to the reimbursement types (imported drugs, domestic drugs) and the types of the drugs (ethylene propylene diene monomer) or the services (various treatment, inspection, hospitalization, nursing, and the like) and the reimbursement proportion, obtain the reimbursement amount by self-definition, acquire the user account and automatically make a payment or check out the payment and reimbursement. The identification is performed simultaneously with the determination of the validity and consistency of the ticket based on the official seal, wherein the consistency includes, but is not limited to, the identification of the official seal name and thus the agreement with the name of the invoker. Therefore, the automatic identification of categories and amount, the automatic calculation of reimbursement amount and the automatic payment are realized, and the manpower and the audit cost are saved.
Further, in other embodiments, the identification information further includes the amount of the remaining reimbursement for the commercial insurance, the material required for reimbursement for the commercial insurance, and/or the reimbursement method. Through shooting the invoice or the single data, the ordinary user obtains commercial insurance reimbursement information, obtains reimbursement materials and mode prompts, obtains medicine information and taking prompts, and convenience is brought to the user for the ordinary user is in the very best way to medical reimbursement cost, and is in the heart.
Further, it is obvious that in real life, some users participate in both medical insurance and business insurance, therefore, in other embodiments, according to the disclosure above, those skilled in the art can obtain the technical solution of obtaining the reimbursement cost of both the actual medical insurance and the actual business insurance without creative work, and it is within the scope of the present invention.
< example three >
In this embodiment, the first information is drug information, and step S3 further includes connecting a drug information database corresponding to the drug information according to the drug information, and acquiring drug identification information from the drug information database according to the drug information. The medicine identification information comprises the manufacturer, classification, instruction content and/or administration prompt of the medicine, and the administration prompt comprises administration time, dosage and dietetic restraint.
Further, in this embodiment, the information database includes a treatment information database, the reference information further includes user treatment information obtained from the treatment information database, and the treatment information includes personal information of the sex, age and weight of the user and history information of previous examination, diagnosis, treatment, medication and care condition; and providing care notes including, but not limited to, intervals of medication times, dosages, and dietary recommendations in conjunction with the user treatment information and the drug identification information.
The present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores computer-executable instructions, and when the computer-executable instructions are executed, the steps of the medical document identification method are implemented, and the specific steps are already described in detail above, and are not described herein again.
Through the description of the above embodiments, those skilled in the art will clearly understand that the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better embodiment. Based on this understanding, the portions of the present invention that contribute to the prior art can be embodied in the form of software products. The computer software product is stored on a computer readable storage medium and includes instructions for causing a device, including but not limited to a server, a network terminal, a computer, and/or a mobile phone, to perform the method according to the embodiments of the present invention.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
It should be noted that in the description of the present specification, reference to the description of "one embodiment", "some embodiments", "examples", "specific examples", or "some examples", etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Moreover, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
In summary, the above embodiments describe in detail different configurations of a medical document identification method, and it should be understood that the above description is only a description of the preferred embodiments of the present invention and is not intended to limit the scope of the present invention, and the present invention includes but is not limited to the configurations listed in the above embodiments, and those skilled in the art can take the above three examples according to the content of the above embodiments, and any changes and modifications made by those skilled in the art according to the above disclosure belong to the protection scope of the claims.
Claims (8)
1. A medical document identification method, comprising the steps of:
s1: identifying a first area and a second area on the medical document according to a pre-trained area identification model;
s2: acquiring first information corresponding to the first area and second information corresponding to the second area according to a pre-trained character recognition model;
s3: connecting an information database corresponding to the first information according to the first information, and acquiring reference information from the information database according to the second information;
s4, obtaining the identification information of the medical bill according to the second information and the reference information;
wherein the first information comprises identification information on the medical document; the first information comprises a name of an invoicer and a name of a user;
the second information comprises cost information on the medical document; the second information comprises a charge name, a quantity, an individual amount, a total amount and a date;
the benchmark information comprises reimbursement benchmark information corresponding to the medical document, the benchmark information comprises reimbursement proportion and/or reimbursement range acquired from at least one information database, and the reimbursement benchmark information comprises reimbursement proportion and/or reimbursement range;
the identification information comprises reimbursement information corresponding to the medical document;
at least one of the information databases in step S3, wherein the reference information includes reimbursement proportions and/or reimbursement ranges obtained from at least one of the information databases;
in step S4, the identification information includes an actual reimbursement proportion, an actual reimbursement classification and/or actual reimbursement information corresponding to the medical document.
2. The medical document identification method according to claim 1, wherein in step S1, the region identification model is obtained by: labeling each medical document image sample in a first medical document image sample set to label each of a plurality of areas in each medical document image sample;
and training a first neural network by using the first medical document image sample set subjected to the labeling processing to obtain the region identification model.
3. The medical document identification method according to claim 1, wherein in step S2, the character recognition model is obtained by: labeling each medical document image sample in a second medical document image sample set to label characters in each of a plurality of areas in each medical document image sample;
and training a second neural network by using the second medical document image sample set subjected to the labeling processing to obtain the character recognition model.
4. The medical document identification method according to claim 1, further comprising, before step S1, the steps of: and identifying the category of the medical document according to a pre-trained category identification model, and determining a corresponding region identification model according to the category.
5. The medical document identification method according to claim 1, wherein the information database in step S3 includes a medical insurance database, and user regional information and medical insurance category information are obtained from the medical insurance database, so as to obtain the reference information, and the reference information includes medical insurance reimbursement proportion and/or medical insurance reimbursement range obtained from the medical insurance database;
in step S4, the identification information includes an actual medical insurance reimbursement proportion, an actual medical insurance reimbursement classification, and/or actual medical insurance drug reimbursement information corresponding to the medical document.
6. The medical document identification method according to claim 1, wherein the information database comprises a commercial insurance database in step S3, and user commercial insurance information is obtained from the commercial insurance database, so as to obtain the reference information, and the reference information comprises a commercial insurance reimbursement proportion and/or a commercial insurance reimbursement range obtained from the commercial insurance database;
step S4, the identification information includes an actual commercial insurance reimbursement proportion, an actual commercial insurance reimbursement classification and/or actual commercial insurance reimbursement information corresponding to the medical document.
7. The method as claimed in claim 1, wherein the identification information of step S4 further includes the amount of insurance remaining reimbursement, the material required for insurance reimbursement, and/or the reimbursement method.
8. A computer-readable storage medium having computer-executable instructions stored thereon that, when executed, implement the medical document identification method of any one of claims 1-6.
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| CN110956739A (en) * | 2019-05-09 | 2020-04-03 | 杭州睿琪软件有限公司 | Bill identification method and device |
| CN110675270A (en) * | 2019-09-05 | 2020-01-10 | 平安健康保险股份有限公司 | Method and device for determining medical insurance deduction amount based on invoice information |
| CN112348017B (en) * | 2020-11-09 | 2024-01-23 | 浙江太美医疗科技股份有限公司 | Identification method and identification device for clinical test charging receipt |
| CN112634065A (en) * | 2020-12-21 | 2021-04-09 | 山东众阳健康科技集团有限公司 | Method and system for reimbursing remote medical care receipt |
| CN113658671A (en) * | 2021-08-19 | 2021-11-16 | 湖南和信安华区块链科技有限公司 | Medical and health mutual-aid system based on block chain |
| CN114723420A (en) * | 2022-06-07 | 2022-07-08 | 武汉金豆医疗数据科技有限公司 | Medical insurance, business and insurance integrated auditing method and device, electronic equipment and storage medium |
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