Self-service transaction comprehensive service system based on bank and medical communication

Abstract

The invention discloses a self-service transaction comprehensive service system based on bank and medical information, and relates to the technical field of bank and medical information service, and the system comprises the steps: obtaining a medical order representing the specific medical information content in medical information, reserving a preset frame segmented word in a template information group from the medical order, screening out key information, and storing the key information in a database; each piece of key information is endowed with a key identifier, so that identifiers of all the key information are obtained, the key identifiers are used for replacing the key information and are combined with the frame segmented words, and then alternative medical information is formed by fusing user identifiers; the medical information of the user can be hidden, so that the privacy of the user is better protected; and meanwhile, the repeated payment condition can be verified, and the method is simple, effective and easy to use.

Description

Technical Field

[0001] The present invention belongs to the technical field of silver-medical communication services, and specifically relates to a self-service transaction integrated service system based on silver-medical communication. Background Art

[0002] A patent with the publication number CN113792333A discloses a silver-medical communication system based on big data, including: a silver-medical communication server, a client, an access service module, an information leakage monitoring module, a forwarding data encryption module, a database server, an outgoing service module, and a HIS server. The access data of the client is forwarded to the HIS server through the silver-medical communication server, the communication between the client and the silver-medical communication server is processed through the access service module, when the client fills in information through the client, the information leakage monitoring module monitors the page displayed after obscuring the key information in real time, and sends an information leakage warning signal when an unknown content appears on the monitored page. After receiving the warning signal, the forwarding data encryption module redistributes the data filled in by the client on the established N-prism model to hide the filled data, and the HIS server decrypts and receives the client access information and feeds back the information, protecting the security of medical data and improving the security awareness of customers.

[0003] However, for the silver-medical communication service system, how to better protect the medical information of users usually involves encrypting user information through various symmetric or asymmetric encryption methods, lacking a simple and effective way that can mislead users while protecting user privacy. Based on this, a solution is provided. Summary of the Invention

[0004] The present invention aims to solve at least one of the technical problems existing in the prior art; For this purpose, the present invention proposes a self-service transaction integrated service system based on silver-medical communication, including: A processing unit, which is used to perform order splitting on the user identifier and medical information extracted by the attribute extraction unit. The user identifier forms a unique mapping relationship with the user name. The specific method of order splitting is as follows: Obtain the medical order that represents the specific medical information content in the medical information, retain the frame segmentation words in the preset template information group from the medical order, screen out the key information, and preferentially select any character in the key information that is inconsistent with all the key identifiers in the key mapping table as the key identifier. If there is no character, assign a character that is inconsistent with all the key identifiers in the key mapping table, so as to obtain the identifiers of all key information. Use the key identifier to replace the key information and combine it with the frame segmentation words, and then fuse the user identifier to form the alternative medical information; Database 1, which stores an information mapping table representing the mapping relationship between the user identifier and the user name and the alternative medical information; Database Two stores a key mapping table representing the correspondence between key identifiers and key information, and a template information group.

[0005] Furthermore, medical information is obtained through a data acquisition unit. The medical information includes inspection reports, medical records, and expense details. At the same time, the medical information and its corresponding user are transmitted to an attribute extraction unit.

[0006] Furthermore, the attribute extraction unit extracts attributes from the medical information. By obtaining the username of the corresponding user, and then comparing it with the information mapping table stored in Database One. When there is no user identifier corresponding to the username, a user identifier unique to the username is assigned to it, and then the mapping relationship between the username and the user identifier is added to the information mapping table.

[0007] Furthermore, it also includes a data entry unit, which is used to verify the identity before any user calls the corresponding medical record. When the verification is passed, the connection relationships between the processing unit and Database One and Database Two will be opened simultaneously. According to the information mapping table, alternative medical information, and the key mapping table, the username and key information are restored in sequence, thereby completing the restoration of medical information and obtaining the original data.

[0008] Furthermore, when the identity verification by the data entry unit fails, only the connection relationship between the processing unit and Database One is opened. At this time, only the medical information containing the key identifier and the username can be restored through the information mapping table stored in Database One and the alternative medical information.

[0009] Furthermore, the template information group is determined by the following method: All medical information is obtained through the data acquisition unit and divided into several information categories according to the type. The information category is used to represent the specific type of medical information, and each information category contains several medical sub - bills; According to the number of occurrences of the sub - bill words in the medical sub - bills in each information category, the framework words of each information category are determined, and all the framework words constitute the template information group.

[0010] Furthermore, the specific method for determining the framework words is as follows: Select an information category arbitrarily, and then perform word segmentation on the medical sub - bills to obtain several sub - bill words. Mark the sub - bill words whose number of occurrences exceeds the preset value X1 as framework words.

[0011] Furthermore, when the data acquisition unit obtains new medical information, if it is a payment record, similar word segmentation will be performed. Specifically: Obtain the payment amount and payment item of the payment object from the payment record; Automatically retrieve all the payment records of the payment object within the preset time T1. If there is any other payment information that is consistent with the real-time payment information, a suspicion signal will be automatically generated at this time.

[0012] Furthermore, when a suspicion signal is generated, all the past payment records of the corresponding payment object will be called, and the duplicate payment times in the payment records will be automatically obtained; the duplicate payment times specifically refer to: When the user has any payment records with confirmed same payment amounts for the same payment matters within the time T1, and no refund has occurred for any of the fees, at this time, after subtracting one from the number of the same payment records, the obtained value is marked as the value of the corresponding duplicate payment times; When the duplicate payment times of the user is not zero, at this time, the real-time payment information is regarded as suspicious payment information, the payment information is stored in the database, and a reminder to verify the fees is automatically popped up to the user. If the duplicate payment times is zero, at this time, the corresponding real-time payment information is marked as secondary confirmation information, and the user's current payment will be terminated in real time, and a pop-up window will be displayed "You have made a payment with the same amount and the same name list before. Please carefully verify whether there is a duplicate payment". At this time, the user needs to make a secondary payment to complete the payment process.

[0013] Compared with the prior art, the beneficial effects of the present invention are: The present invention obtains the medical sub-invoices representing the specific medical information content in the medical information, retains the frame words in the preset template information group from the medical sub-invoices, screens out the key information, and assigns a key identifier to each key information, so as to obtain the identifiers of all the key information. Using the key identifiers to replace the key information and combining with the frame words, and then integrating the user identifier to form the alternative medical information; it can hide the user's medical information and better protect the user's privacy; At the same time, it can verify the duplicate payment situation. The present invention is simple and effective and easy to use. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 It is the system block diagram of the present invention; Figure 2 It is the system block diagram of the second embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0015] The technical solutions of the present invention will be described clearly and completely below in conjunction with the embodiments. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the protection scope of the present invention.

[0016] Please refer to Figure 1, this application provides a self-service transaction integrated service system based on the silver medical communication system, including; A data acquisition unit, which is used to acquire the medical information generated by the user during medical services on the silver medical communication system. The medical information includes inspection reports, medical records, expense details, etc., specifically including medical records, inspection lists, test reports, etc. The data acquisition unit is used to transmit the medical information corresponding to the user to the attribute extraction unit, and the attribute extraction unit is used to extract the attributes of the medical information. The specific method of attribute extraction is as follows: Acquire the medical information and at the same time acquire the user corresponding to the medical information; First, obtain the user name of the user, assign a unique user identifier to it according to the user name, and then construct an information mapping relationship between the user and its user identifier. Then transmit the information mapping relationship to the information mapping table in Database 1. In this process, it is necessary to first compare whether there is a user identifier for this user in the information mapping table. If not, a new one needs to be added. If it exists, the previously assigned user identifier will be cancelled, and the user identifier corresponding to the user name will be retrieved from the information mapping table. The information mapping table stores several user names and their corresponding unique identifiers; The attribute extraction unit is used to transmit the user identifier and its medical information to the processing unit, and the processing unit is used to perform order splitting processing on the user identifier and its medical information. The specific method of order splitting processing is as follows: First, obtain several medical visit order splits in the medical information. The medical visit order split is the content of the specific medical visit information, and the medical visit order split is one or more of inspection reports, medical records, and expense information; Then select any one medical visit order split, and obtain the template information group of this type of medical visit order split from Database 2. The template information group includes several frame segmentations. Keep the frame segmentations, screen out the rest of the content, and mark it as key information; Select any one key information, and compare it with all the key identifiers in the key mapping table in Database 2. If there are characters in the key information that are inconsistent with all the key identifiers, mark any one inconsistent character as the new key identifier corresponding to the key information. If there is no part in the key information that is inconsistent with all the key identifiers, randomly assign a key identifier different from all other key information to the key information; Replace the key information with the key identifier, and at the same time restore the key identifier to the original position corresponding to the key information, fuse it with the frame segmentation to form new medical information, and fuse the corresponding user identifier with it to form alternative medical information; And transmit the alternative medical information to Database 1 for storage; Then, the corresponding key identifiers and key information are added to the key mapping table, which is a mapping table of key identifiers and key information; the processing unit is used to transmit the key mapping table to Database 2 for storage; The template information group here is preset by the administrator and stored in Database 2; When any person needs to call the corresponding medical record, first, the user identity verification needs to be carried out through the data entry unit. The identity verification method can be password, ID card or other biometric features to identify the user identity. After verification, an approval signal is generated. When not authenticated, that is, when encountering illegal intrusion, no approval signal is generated. At this time, the processing unit can only access Database 1, that is, only the alternative medical information can be called out, and the user name is restored through the information mapping table; if an approval signal is generated, after retrieving the alternative medical information from Database 1 at the same time, the key mapping table is retrieved from Database 2 to replace the key information corresponding to the key identifier, so as to restore the medical information; Such as Figure 2 As shown, of course, as Embodiment 2 of the present application, this embodiment is carried out on the basis of Embodiment 1. This embodiment provides a method for obtaining a template information group. The specific obtaining method is as follows: All medical information generated during medical treatment is obtained through the data acquisition unit. First, it is classified according to the type of medical information to obtain several information categories. The information category is the specific type to which the content in the corresponding medical information belongs, such as the inspection report category; each information category contains several medical treatment sub-bills. The medical treatment sub-bill is the specific bill of the corresponding information category, and the medical treatment sub-bill is specifically any one of the inspection report, medical record, and expense information; Select any information category and obtain all the medical treatment sub-bills in this information category; Select any medical treatment sub-bill and perform word segmentation on it. The word segmentation is carried out with the help of existing technologies, so no specific description is given here, and several sub-bill word segments are obtained; Obtain the occurrence times of each sub-bill word segment, and mark those with occurrence times exceeding X1 as frame word segments, where X1 is a preset value; Mark all the frame word segments as the template information group; Perform the same processing on the remaining information categories to obtain the template information groups of all information categories; The data acquisition unit is used to transmit the template information group to Database 2 for real-time storage.

[0017] Of course, as Embodiment 3 of the present application, this embodiment is implemented on the basis of Embodiment 1. The difference is that when the data acquisition unit obtains new medical information, it will verify its type. If it is a payment record, automatic similarity analysis will be carried out. The specific similarity analysis method is as follows: First, obtain the name of the user corresponding to the payment record and mark it as the payment object. Obtain the payment amount and payment matters of the payment object from the payment record. The payment matters refer to the specific reasons for paying on behalf of the user, such as buying medicine, registering, consultation fees, or other examination fees. Mark the payment object and its corresponding payment amount and payment matters as real-time payment information. After that, all the payment records of the payment object within the time period T1 will be automatically retrieved. If there is any other payment information that is consistent with the real-time payment information, a suspicion signal will be automatically generated at this time. Here, T1 is a preset time. Then retrieve all the past payment records of the payment object and automatically obtain the duplicate payment times in the payment records. The duplicate payment times specifically refer to: When the user has a confirmed payment record with the same payment amount for the same payment matter within the time period T1, and no refund has occurred for any of the fees, the numerical value obtained after subtracting one from the number of identical payment records will be marked as the value of the corresponding duplicate payment times. Specifically, for example, when any user, such as Zhang San, has the following payment records: Admission Date Discharge Date Department Attending Physician Inpatient Deposit (yuan) Total Inpatient Expenses (yuan) Settlement Date Settlement Method February 1, 2025 / Department of Obstetrics and Gynecology Doctor He 3000 5000 February 2, 2025 Cash Payment (including some self - paid items and escort bed fees, etc.) February 1, 2025 / Department of Obstetrics and Gynecology Doctor He 3000 8000 February 2, 2025 Cash Payment (including some self - paid items and escort bed fees, etc.) At this time, for user Zhang San, two prepayments for the same hospital deposit are generated. The reason may be that the first prepayment amount is not enough before the medical staff gives reasonable advice, and the second recharge is made. Then the corresponding duplicate payment times is two minus one, and the obtained value is one. When the duplicate payment times of the user is not zero, at this time, the real-time payment information will be regarded as suspicious payment information, the payment information will be stored in the database, and a reminder to verify the fee will be automatically popped up to the user. If the duplicate payment times is zero, at this time, the corresponding real-time payment information will be marked as secondary confirmation information, and the user's current payment will be terminated in real time, and a pop-up window will be displayed saying "Your current payment has already occurred for the same amount and the same item. Please carefully verify whether there is a duplicate payment." At this time, the user needs to make a secondary payment to complete the payment process.

[0018] Of course, the above three embodiments of this application can also be implemented in combination.

[0019] Some of the data in the above formula are calculated by removing the dimension and taking their numerical values. The formula is obtained by software simulation of a large amount of collected data to get a formula closest to the real situation. The preset parameters and preset thresholds in the formula are set by those skilled in the art according to the actual situation or obtained through simulation of a large amount of data.

[0020] The above embodiments are only used to illustrate the technical method of the present invention and not to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical method of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical method of the present invention.

Claims

1. The self-service transaction integrated service system based on Bank-Medical Link is characterized by: include: The processing unit is used to process the user identifier and medical information extracted by the attribute extraction unit into separate orders. The user identifier and the user name form a unique mapping relationship. The specific method of the separate order processing is as follows: Obtaining a medical consultation form representing specific medical information content from the medical information, retaining the frame segmentation in a preset template information group from the medical consultation form, filtering out key information, preferentially selecting any character in the key information that is inconsistent with all key identifiers in the key mapping table as a key identifier, and if there is no character, assigning a character that is inconsistent with all key identifiers in the key mapping table, thereby obtaining identifiers for all key information, using the key identifier to replace the key information, combining it with the frame segmentation, and then fusing it with the user identifier to form alternative medical information; Database 1, storing an information mapping table representing a mapping relationship between user identifiers and user names and alternative medical information; The second database stores a key mapping table and a template information group indicating the correspondence between key identifiers and key information.

2. The self-service transaction integrated service system based on Bank-Medical Link according to claim 1 is characterized in that: Medical information is acquired through the data acquisition unit. The medical information includes examination reports, medical records, and expense details. At the same time, the medical information and its corresponding users are transmitted to the attribute extraction unit.

3. The self-service transaction integrated service system based on Bank-Medical Link according to claim 1 is characterized in that: The attribute extraction unit extracts attributes from the medical information, obtains the username of the corresponding user, and then compares it with the information mapping table stored in database one. When there is no user identifier corresponding to the username, it assigns a unique user identifier corresponding to the username, and then adds the mapping relationship between the username and the user identifier to the information mapping table.

4. The self-service transaction integrated service system based on Bank-Medical Link according to claim 1 is characterized in that: It also includes a data entry unit, which is used to verify the identity of any user before calling the corresponding medical record. When the verification is passed, the connection relationship between the processing unit and database one and database two will be opened at the same time. According to the information mapping table, alternative medical information and key mapping table, the user name and key information will be restored in sequence, thereby completing the restoration of the medical information and obtaining the original data.

5. The self-service transaction integrated service system based on Bank-Medical Link according to claim 4 is characterized in that: When the identity of the data entry unit is not verified, it only develops a connection relationship between the processing unit and database one. At this time, the medical information and user name containing the key identifier can only be restored through the information mapping table and alternative medical information stored in database one.

6. The self-service transaction integrated service system based on Bank-Medical Link according to claim 1 is characterized in that: The template information group is determined as follows: All medical information is obtained through the data acquisition unit and divided into several information classes according to type. The information class is used to represent the specific type of medical information. Each information class contains several medical treatment orders; According to the number of occurrences of the medical treatment order segmentation words in each information category, the frame segmentation words of each information category are determined, and all the frame segmentation words constitute the template information group.

7. The self-service transaction integrated service system based on Bank-Medical Link according to claim 6 is characterized in that: The specific method for determining frame segmentation is: Select any information category, and then perform word segmentation on the medical treatment order to obtain several order segmentation words. Mark the order segmentation words whose occurrence times exceed the preset value X1 as frame segmentation words.

8. The self-service transaction integrated service system based on Bank-Medical Link according to claim 1 is characterized in that: When the data acquisition unit obtains new medical information, if it is a payment record, it will perform similar word segmentation, specifically: Obtain the payment amount and payment items of the payee from the payment record; Automatically retrieve all payment records of the payee within the preset time T1. If there is any other payment information that is consistent with the real-time payment information, a doubt signal will be automatically generated.

9. The self-service transaction integrated service system based on Bank-Medical Link according to claim 8 is characterized in that: When a doubt signal is generated, all past payment records of the corresponding payee will be called up to automatically obtain the number of duplicate payments in the payment records; the specific number of duplicate payments refers to: When a user generates a confirmed payment record of the same payment amount for any of the same payment items within T1, and no refund is generated for any of the fees, the number of identical payment records will be subtracted by one, and the resulting value will be marked as the number of duplicate payments. When the number of duplicate payments made by a user is not zero, the real-time payment information will be classified as questionable payment information, stored in the database, and a reminder to verify the fees will be automatically popped up to the user. If the number of duplicate payments is zero, the corresponding real-time payment information will be marked as secondary confirmation information. The user's payment will be terminated in real time, and a pop-up window will be displayed saying "You have already made a payment of the same amount and the same name. Please carefully check whether there is a duplicate payment." At this time, the user needs to make a second payment to complete the payment process.

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