Medical product operation data auditing method and device, electronic equipment and storage medium

Abstract

The invention discloses a medical product operation data auditing method and device, electronic equipment and a storage medium, and relates to the technical field of information detection. The method comprises the following steps: identifying operation data to be audited to obtain a unit text area and unit text content corresponding to the unit text area; performing definition detection on each unit character area to obtain a comprehensive definition detection result of the to-be-audited operation data; when the comprehensive definition detection result of the to-be-audited operation data is clear, querying reference text content corresponding to the text content of each unit according to the identity identifier contained in the text content of each unit; performing consistency detection on the character content of each unit and the corresponding reference character content; and determining an audit result of the to-be-audited operation data according to a consistency detection result of the unit text content. According to the technical scheme of the embodiment of the invention, the auditing efficiency and auditing accuracy of the operation data of the medical product provider are improved, and the operation stability of the medical product operation platform can be ensured.

Description

Technical Field

[0001] The present invention relates to the field of information detection technology, and in particular to a method, device, electronic equipment and storage medium for reviewing business information of medical products. Background Art

[0002] Medical product providers need to provide business information to the medical product business platform. When a medical product provider first enters the medical product business platform, or when the medical product provider reaches the review cycle, the medical product business platform needs to review the business information of the medical product provider.

[0003] At present, the audit of the business information of medical product providers is mainly carried out manually. However, due to the large number of medical product providers on the medical product business platform, the amount of business information involved is large, and the business information of medical product providers needs to be audited periodically. As a result, the audit efficiency of business information is low, and it is easy to miss inspections, making it difficult to ensure the operational stability of the medical product business platform. Summary of the invention

[0004] The present invention provides a method, device, electronic device and storage medium for reviewing business information of medical products, which realizes automatic review of the business information of medical product providers, improves the review efficiency and review accuracy of the business information of medical product providers, and can ensure the operational stability of the medical product business platform.

[0005] According to one aspect of the present invention, a method for reviewing medical product business information is provided, the method comprising:

[0006] Obtaining business information to be reviewed;

[0007] Identify the business data to be reviewed to obtain at least one unit text area and unit text content corresponding to the unit text area;

[0008] Performing clarity detection on each unit text area to obtain a comprehensive clarity detection result of the business information to be reviewed;

[0009] When the comprehensive clarity test result of the business data to be reviewed is clear, querying the reference text content corresponding to each unit text content according to the identity identifier contained in each unit text content;

[0010] Performing consistency check on the text content of each unit and the corresponding reference text content;

[0011] The audit result of the business information to be audited is determined based on the consistency test result of the unit text content.

[0012] According to another aspect of the present invention, a medical product business information review device is provided, the device comprising:

[0013] The business data acquisition module is used to obtain the business data to be reviewed;

[0014] A unit text area recognition module, used to recognize the business data to be reviewed, and obtain at least one unit text area and the unit text content corresponding to the unit text area;

[0015] A comprehensive clarity detection module is used to perform clarity detection on each unit text area to obtain a comprehensive clarity detection result of the business information to be reviewed;

[0016] A reference text content query module, used for querying the reference text content corresponding to each unit text content according to the identity identifier contained in each unit text content when the comprehensive clarity detection result of the business data to be reviewed is clear;

[0017] A text content consistency detection module, used for performing consistency detection on each unit text content and the corresponding reference text content;

[0018] The audit result determination module is used to determine the audit result of the business information to be audited according to the consistency detection result of the unit text content.

[0019] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0020] at least one processor; and

[0021] a memory communicatively connected to the at least one processor; wherein,

[0022] The memory stores a computer program that can be executed by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the medical product business information review method described in any embodiment of the present invention.

[0023] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the medical product business information review method described in any embodiment of the present invention when executed.

[0024] According to another aspect of the present invention, a computer program product is provided. The computer program product includes a computer program. When the computer program is executed by a processor, the medical product business information review method described in any embodiment of the present invention is implemented.

[0025] The technical solution of the embodiment of the present invention identifies the business data to be audited, obtains at least one unit text area and the unit text content corresponding to the unit text area, performs clarity detection on each unit text area, and obtains a comprehensive clarity detection result of the business data to be audited. When the comprehensive clarity detection result of the business data to be audited is clear, the reference text content corresponding to each unit text content is queried according to the identity identifier contained in each unit text content, and a consistency detection is performed on each unit text content and the corresponding reference text content. According to the consistency detection result of the unit text content, the audit result of the business data to be audited is determined, and from the two aspects of text clarity and content consistency, the automatic audit of the business data of the medical supplies provider is realized, the audit efficiency and audit accuracy of the business data of the medical product provider are improved, and the operational stability of the medical product business platform can be guaranteed.

[0026] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0028] Figure 1 This is a flow chart of a method for reviewing medical product business information provided according to Embodiment 1 of the present invention;

[0029] Figure 2 This is a flow chart of a method for reviewing medical product business information provided according to Embodiment 2 of the present invention;

[0030] Figure 3 This is a flow chart of a method for reviewing medical product business information provided according to Embodiment 2 of the present invention;

[0031] Figure 4 This is a schematic diagram of the structure of a medical product business information review device provided according to Embodiment 3 of the present invention;

[0032] Figure 5 It is a structural schematic diagram of an electronic device for implementing the medical product business information review method according to an embodiment of the present invention. DETAILED DESCRIPTION

[0033] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0034] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0035] Embodiment 1

[0036] Figure 1 A flowchart of a method for reviewing medical product business information provided in Embodiment 1 of the present invention. The embodiment of the present invention can be applied to the case of reviewing medical product business information in a medical product business platform. The method can be performed by a medical product business information review device, which can be implemented in the form of hardware and / or software, and can be configured in an electronic device that carries the medical product business information review function.

[0037] Medical product providers need to provide business information to the medical product business platform. When a medical product provider first enters the medical product business platform, or when the review cycle of the medical product provider is reached, the medical product business platform needs to review the business information of the medical product provider. The clarity of the business information is an important indicator of whether the business information review has passed. Among them, reaching the review cycle provided by the drug provider or medical device provider can be understood as that the medical product provider has entered the medical product business platform, and the medical product business platform has conducted the first review of its business qualifications, but the medical product provider may have identity changes (such as name changes of business personnel or companies, etc.) and changes in business scope. In order to ensure the accuracy of the review of the medical product provider and the operational stability of the medical product business platform, the medical product business platform needs to conduct periodic reviews of its business qualifications. Among them, the review cycle can periodically review the corresponding time interval. For example, twice a year, three times a year, four times a year, or once a quarter, etc.

[0038] At present, the audit of the business information of medical product providers mainly adopts the manual audit method. However, due to the large number of medical product providers in the medical product business platform, the amount of business information involved is large, and the business information of medical product providers needs to be audited periodically, resulting in low efficiency in the audit of business information, and it is easy to miss inspections, making it difficult to ensure the operational stability of the medical product business platform. Among them, ensuring the operational stability of the medical product business platform can be understood as the need for the auditor to periodically audit the medical product business platform and conduct spot checks on the business qualifications involved in the medical products operated by the medical product business platform. If inconsistent business qualifications are detected, the medical product business platform and the medical product providers involved may be punished for the medical product.

[0039] See also Figure 1 The medical product business information review method shown includes:

[0040] S110. Obtain the business information to be reviewed.

[0041] Among them, the business information to be reviewed can be the business-related information provided by the medical product provider to the medical product business platform. The business information to be reviewed is used to characterize the business qualifications of the drug provider on the medical product business platform. Exemplarily, medical products include drugs or medical devices, etc. Exemplarily, the business information to be reviewed may include the identity identification and business authority of the medical product provider. Among them, the identity identification is used to identify the identity of the medical product provider. For example, a copy of the ID card, a business license or a power of attorney, etc. Business authority is used to characterize whether the medical product provider can operate medical products. Exemplarily, the business authority includes the business scope and the validity period of the business, etc. Among them, the business scope is used to characterize the scope of medical products that the medical product provider can operate. For example, the business scope may include the diagnosis and treatment scope of the business license and the special drug business license, etc. The diagnosis and treatment scope of the business license can be used to characterize the medical product provider's business authority for conventional medical products. The special drug business license can be used to characterize the medical product provider's business authority for special drugs. Optionally, the file format of the business information to be reviewed may include pictures or PDF (Portable Document Format, Portable Document Format), etc.

[0042] In an optional embodiment of the present invention, the business data to be audited includes first-time business data or periodic audit data.

[0043] The first operation data can be the business-related data provided by the medical product provider when entering the medical product business platform. The periodic audit data can be the business-related data that the medical product business platform needs to audit when the medical product provider's audit cycle is reached. Compared with the audit of medical product business data at other times, the audit workload of the first operation data and periodic audit data is greater, and the audit efficiency is lower. The effect of this solution is better.

[0044] This solution realizes the automatic review of the first-operation data or weekly review data of medical product providers by concretizing the operating data to be reviewed as first-operation data or periodic review data, thereby improving the review efficiency and accuracy of the first-operation data or weekly review data of medical product providers.

[0045] Specifically, the business information to be reviewed uploaded by medical product providers to the medical product business platform can be obtained.

[0046] S120, identifying the business data to be reviewed, and obtaining at least one unit text area and unit text content corresponding to the unit text area.

[0047] The unit text area can be an area occupied by text of a certain content category in the business information to be reviewed. Exemplarily, the unit text area can be an area occupied by a line of text in the business information to be reviewed, or an area occupied by multiple blocks of text exceeding a preset interval in a line of the business information to be reviewed. Optionally, the unit text area can be represented by the vertex coordinates of the area. Exemplarily, the unit text area can be a rectangular frame area; the four vertex coordinates of the rectangular frame can be used to represent the unit text area. The unit text content can be the specific content of the text in the unit text area.

[0048] Specifically, an OCR (Optical Character Recognition) algorithm may be used to recognize the business data to be audited, and obtain at least one unit text area and unit text content corresponding to the unit text area.

[0049] S130, performing clarity detection on the text area of ​​each unit to obtain a comprehensive clarity detection result of the business information to be reviewed.

[0050] The comprehensive clarity test result of the business data to be reviewed can be used to characterize the overall clarity of the business data to be reviewed. Exemplarily, the comprehensive clarity test result of the business data to be reviewed can include clarity or unclearness.

[0051] Specifically, the Laplace algorithm can be used to calculate the clarity of the unit text area to obtain the unit clarity of the unit text area. The unit clarity of each unit text area can be integrated, for example, the unit clarity of each unit text area is weighted summed or averaged, etc., to obtain the comprehensive clarity of the business information to be reviewed. The comprehensive clarity of the business information to be reviewed can be compared with a preset comprehensive clarity threshold. If the comprehensive clarity of the business information to be reviewed is greater than or equal to the preset comprehensive clarity threshold, the comprehensive clarity detection result of the business information to be reviewed is clear; if the comprehensive clarity of the business information to be reviewed is less than the preset comprehensive clarity threshold, the comprehensive clarity detection result of the business information to be reviewed is unclear. Among them, the comprehensive clarity can be used to characterize the overall clarity of the text contained in the business information to be reviewed.

[0052] S140. When the comprehensive clarity test result of the business data to be reviewed is clear, the reference text content corresponding to each unit text content is queried according to the identity identifier contained in each unit text content.

[0053] The reference text content may be text content pre-stored in the device for checking the correctness of the unit text content. The reference text content corresponding to the same identity identifier may be uniformly stored in the device.

[0054] Specifically, when the comprehensive clarity test result of the business information to be reviewed is clear, the reference text content corresponding to the identity identifier can be queried based on the identity identifier contained in the text content of each unit, thereby obtaining the reference text content corresponding to the text content of each unit.

[0055] S150: Perform consistency check on the text content of each unit and the corresponding reference text content.

[0056] Specifically, each unit text content and the corresponding reference text content can be vectorized to obtain each unit text content vector and the corresponding reference text content vector. Each unit text content vector and the corresponding reference text content vector can be calculated to obtain the unit similarity of each unit text content. Each unit similarity can be compared with a preset similarity threshold. When each unit similarity is greater than or equal to the preset similarity threshold, it is determined that each unit text content is consistent with the corresponding reference text content; when any unit similarity is less than the preset similarity threshold, it is determined that each unit text content is inconsistent with the corresponding reference text content. Exemplarily, the preset similarity threshold can be 100%.

[0057] Optionally, when it is determined that the text content of each unit is inconsistent with the corresponding reference text content, the medical product management platform will send an information change prompt to the medical product provider to prompt the medical product provider to update the management information in a timely manner.

[0058] Optionally, when it is determined that the text content of each unit is inconsistent with the corresponding reference text content, and the inconsistent unit text content is positioned as the business scope, the medical product business platform will issue a business scope non-compliance prompt information to the medical product provider to prompt the medical product provider to handle the corresponding medical products.

[0059] S160. Determine the audit result of the business information to be audited based on the consistency test result of the unit text content.

[0060] The audit results of the business information to be audited can represent the situation of the business information to be audited from two dimensions: clarity and content consistency. For example, the audit results of the business information to be audited can include audit passed and audit failed.

[0061] Specifically, when the consistency test result of the unit text content is that the text content of each unit is consistent with the corresponding reference text content, the audit result of the business information to be audited is determined to be passed; when the consistency test result of the unit text content is that the text content of each unit is inconsistent with the corresponding reference text content, the audit result of the business information to be audited is determined to be failed.

[0062] The technical solution of the embodiment of the present invention identifies the business data to be audited, obtains at least one unit text area and the unit text content corresponding to the unit text area, performs clarity detection on each unit text area, and obtains a comprehensive clarity detection result of the business data to be audited. When the comprehensive clarity detection result of the business data to be audited is clear, the reference text content corresponding to each unit text content is queried according to the identity identifier contained in each unit text content, and a consistency detection is performed on each unit text content and the corresponding reference text content. According to the consistency detection result of the unit text content, the audit result of the business data to be audited is determined, and from the two aspects of text clarity and content consistency, the automatic audit of the business data of the medical supplies provider is realized, the audit efficiency and audit accuracy of the business data of the medical product provider are improved, and the operational stability of the medical product business platform can be guaranteed.

[0063] Embodiment 2

[0064] Figure 2 This is a flow chart of a method for reviewing medical product business information provided in Example 2 of the present invention. Based on the above embodiments, the embodiment of the present invention specifies "identifying the business data to be audited to obtain at least one unit text area and the unit text content corresponding to the unit text area" as "identifying the business data to be audited to obtain the maximum effective text area, at least one unit text area and the unit text content corresponding to the unit text area", and specifies "performing clarity detection on each unit text area to obtain a comprehensive clarity detection result of the business data to be audited" as "performing clarity calculation on the maximum effective text area to obtain the average clarity of the maximum effective text area; performing clarity calculation on each unit text area to obtain the average clarity of each unit text area; combining the average clarity of the maximum effective text area and the unit clarity of each unit text area to obtain the comprehensive clarity of the business data to be audited; obtaining a preset comprehensive clarity threshold, and comparing the comprehensive clarity of the business data to be audited with the preset comprehensive clarity threshold to obtain a comprehensive clarity detection result of the business data to be audited", and introduces the maximum effective text area and average clarity, takes into account the overall clarity of the medical supplies business data, further improves the clarity detection accuracy of the medical supplies business data, and thus improves the audit accuracy of the medical supplies business data. It should be noted that for the parts not described in detail in the embodiments of the present invention, reference may be made to the descriptions of other embodiments.

[0065] See also Figure 2 The medical product business information review method shown includes:

[0066] S210. Obtain the business information to be reviewed.

[0067] S220. Identify the business data to be reviewed, and obtain the maximum effective text area, at least one unit text area, and the unit text content corresponding to the unit text area.

[0068] Among them, the maximum effective text area can be the area with text left after the white margin without text is cut off from the business information to be reviewed. Generating the maximum effective text area can be understood as removing some areas without text or no difference from the background on the edge, that is, removing the area that does not need to be identified by clarity. For example, the business information to be reviewed can be a scaled file of the identity identification. The maximum effective text area can be the actual area occupied by the identity identification in the business information to be reviewed. For another example, the business information to be reviewed can be a power of attorney. The maximum effective text area can be the minimum rectangular frame area that can frame all the text in the power of attorney; that is, the effective text area excluding the page margin. For another example, the business information to be reviewed can be a scaled file of the business license. The maximum effective text area can include the actual area occupied by the business license in the business information to be reviewed or the further cropping result of the actual area occupied by the business license in the business information to be reviewed. It can be understood that when the business license is a color file, the maximum effective text area can be the actual area occupied by the business license in the business information to be reviewed. When the business license is a black and white file, the maximum effective text area can be the further cropping result of the actual area occupied by the business license in the business information to be reviewed. Exemplarily, the maximum valid text area can be represented by the vertex coordinates of the area.

[0069] Specifically, an edge detection algorithm may be used to crop the business data to be audited to obtain the maximum effective text area. An OCR algorithm may be used to identify the business data to be audited to obtain at least one unit text area and the unit text content corresponding to each unit text area. Exemplarily, the edge detection algorithm may include a Sobel edge detection algorithm (edge ​​detection method based on first-order derivatives), a Roberts edge detection algorithm (cross differential algorithm), or a Canny edge detection algorithm (classic edge detection method), etc.

[0070] In an optional embodiment of the present invention, after obtaining the maximum effective text area, at least one unit text area and the unit text content corresponding to the unit text area, it also includes: detecting and removing the official seal area in the maximum effective text area.

[0071] The test results of technicians show that the official seal may affect the accuracy of the average clarity test of the maximum effective text area, thereby affecting the accuracy of the clarity test of the medical product business information. The official seal area can be the area occupied by the official seal in the business information to be reviewed.

[0072] Specifically, after obtaining the maximum effective text area, at least one unit text area, and the unit text content corresponding to the unit text area, the official seal recognition algorithm can be used to identify the business data to be reviewed to obtain the official seal area. The official seal area can be removed from the maximum effective text area. Exemplarily, the official seal recognition algorithm can be a pre-trained official seal recognition model.

[0073] This solution introduces the detection of the official seal area. By eliminating the official seal area from the maximum effective text area, the clarity detection accuracy of the medical product business information can be improved, thereby improving the audit accuracy of the medical product business information.

[0074] S230, calculating the clarity of the maximum effective text area to obtain an average clarity of the maximum effective text area.

[0075] The average clarity can be the clarity of the maximum effective text area. The average clarity can represent the clarity of the business information to be reviewed from a global perspective. The higher the average clarity, the clearer the maximum effective text area; the lower the average clarity, the less clear the maximum effective text area.

[0076] Specifically, the Laplace algorithm may be used to calculate the clarity of the maximum effective text area to obtain the average clarity of the maximum effective text area.

[0077] S240, calculating the clarity of each unit text area to obtain the unit clarity of each unit text area.

[0078] The unit clarity can be the clarity of the text in the unit text area. The unit clarity can characterize the clarity of a single group of text from a local perspective. It can be understood that the higher the unit clarity, the clearer the text in the unit text area; the lower the unit clarity, the less clear the text in the unit text area.

[0079] Specifically, the Laplace algorithm may be used to calculate the clarity of the unit text area to obtain the unit clarity of the unit text area.

[0080] S250, combining the average clarity of the largest effective text area and the unit clarity of each unit text area to obtain the comprehensive clarity of the business data to be reviewed.

[0081] Comprehensive clarity can represent the clarity of the business data to be audited from two dimensions: the overall picture and the overall text.

[0082] Specifically, the average clarity of the maximum effective text area and the mean value of the unit clarity of each unit text area may be weightedly summed to obtain the comprehensive clarity of the business information to be reviewed.

[0083] Optionally, the average value of the unit clarity of each unit text area can be calculated. The average clarity of the maximum effective text area and the average value of the unit clarity of each unit text area can be weighted and summed to obtain the comprehensive clarity of the business data to be reviewed.

[0084] For example, the following formula can be used to calculate the comprehensive clarity of the business information to be reviewed:

[0085] Average clarity = Laplactian algorithm value of the largest effective text area;

[0086] Mean value of unit clarity = sum (Laplactian algorithm value of unit text area) / number of unit text areas;

[0087] Comprehensive clarity = 0.6*average clarity + 0.4*mean unit clarity;

[0088] In the formula, the Laplacian algorithm value of the maximum effective text area is the result of calculating the clarity of the maximum effective text area using the Laplace algorithm; the Laplacian algorithm value of the unit text area is the result of calculating the clarity of the unit text area using the Laplace algorithm; 0.6 is the weight of the average clarity; 0.4 is the weight of the unit clarity mean.

[0089] S260: Obtain a preset comprehensive clarity threshold, and compare the comprehensive clarity of the business information to be reviewed with the preset comprehensive clarity threshold to obtain a comprehensive clarity detection result of the business information to be reviewed.

[0090] The preset comprehensive clarity threshold may be a reference detection value of the comprehensive clarity of the business data to be reviewed. For example, the preset comprehensive clarity threshold may be 500. Based on the test results of technicians, the detection accuracy of the preset comprehensive clarity threshold of 500 is 95%.

[0091] Specifically, a preset comprehensive clarity threshold value pre-stored in the device may be obtained. The comprehensive clarity of the business data to be reviewed may be compared with the preset comprehensive clarity threshold value. If the comprehensive clarity of the business data to be reviewed is greater than or equal to the preset comprehensive clarity threshold value, the comprehensive clarity detection result of the business data to be reviewed is clear; if the comprehensive clarity of the business data to be reviewed is less than the preset comprehensive clarity threshold value, the comprehensive clarity detection result of the business data to be reviewed is unclear.

[0092] S270. When the comprehensive clarity test result of the business information to be reviewed is clear, the reference text content corresponding to each unit text content is queried based on the identity identifier contained in each unit text content.

[0093] S280: Perform consistency check on the text content of each unit and the corresponding reference text content.

[0094] S290. Determine the audit result of the business information to be audited based on the consistency test result of the unit text content.

[0095] The technical solution of the embodiment of the present invention introduces the maximum effective text area and average clarity, takes into account the overall clarity of the medical supplies business information, further improves the clarity detection accuracy of the medical supplies business information, and thus improves the review accuracy of the medical supplies business information.

[0096] In an optional embodiment of the present invention, after obtaining the business data to be audited, it also includes: detecting the template type of the business data to be audited; when the template type of the business data to be audited is detected, detecting at least one key text area of ​​the business data to be audited; calculating the unit key clarity of each key text area; integrating the unit key clarity of each key text area to obtain the key clarity of each key text area; obtaining a preset key clarity threshold, and comparing the key clarity of each key text area with the preset key clarity threshold to obtain the key clarity detection result of the business data to be audited; after obtaining the comprehensive clarity detection result of the business data to be audited, it also includes: when it is detected that the comprehensive clarity detection result of the business data to be audited is unclear or the key clarity detection result of the key text area of ​​the business data to be audited is unclear, determining that the business data to be audited is unclear.

[0097] The template type of the business information to be reviewed can be used to characterize the category of the business information to be reviewed. The key text area can be a relatively important text area in the business information to be reviewed, such as the specific content corresponding to the identity identification and business authority in the business information to be reviewed. The template type of the business information to be reviewed has a corresponding key text area. Exemplarily, the key text area can be characterized by the vertex coordinates of the area. Optionally, the template type of the business information to be reviewed is associated with the vertex coordinates of each corresponding key text area and stored in a database. The unit key clarity can be the clarity of the text in a single key text area. The unit key clarity can further characterize the clarity of the key text from a local perspective. Among them, the higher the key clarity, the clearer the text in the key text area; the lower the key clarity, the less clear the text in the key text area. The key clarity can be used to characterize the overall clarity of the key text contained in the business information to be reviewed. Exemplarily, the key clarity can be the average value of the unit key clarity of each key text area. The preset key clarity threshold can be a reference detection value of the key clarity of the business information to be reviewed. Exemplarily, the preset key clarity threshold can be a value between 600-1000. The key clarity test results of the business information to be audited may include clear or unclear.

[0098] Specifically, the business data to be audited can be identified by a template detection algorithm to determine the template type of the business data to be audited. Exemplarily, the template detection algorithm can be a template detection model. The business data to be audited can be input into the template detection model, and the reference template type and the corresponding reference confidence of the business data to be audited can be output; the maximum value of the reference confidence can be compared with the preset confidence threshold, and when the maximum value of the reference confidence is less than the preset confidence threshold, it is determined that the template type of the business data to be audited has not been queried; when the reference confidence is greater than or equal to the preset confidence threshold, the reference template type corresponding to the maximum value of the reference confidence is determined as the template type of the business data to be audited. Exemplarily, the preset confidence threshold can be 0.8. Optionally, the business data to be audited can be input into the template detection model, and the reference template type and the corresponding reference confidence of the business data to be audited can be output, and at least one key text area corresponding to each reference template type can be output. The Laplace algorithm can be used to calculate the clarity of the key text area to obtain the unit key clarity of the key text area. The key clarity of each key text area can be weighted and summed to obtain the key clarity of each key text area. The key clarity of each key text area of ​​the business data to be reviewed can be compared with a preset key clarity threshold. If the key clarity of each key text area of ​​the business data to be reviewed is greater than or equal to the preset key clarity threshold, the key clarity detection result of the key text area of ​​the business data to be reviewed is clear; if the key clarity of each key text area of ​​the business data to be reviewed is less than the preset key clarity threshold, the key clarity detection result of the key text area of ​​the business data to be reviewed is unclear.

[0099] For example, the following formula may be used to calculate the key clarity of each key text area:

[0100] Key clarity = sum (Laplactian algorithm value of key text area) / number of key text areas;

[0101] Wherein, the Laplacian algorithm value of the key text area is the result of calculating the clarity of the key text area using the Laplace algorithm, that is, the unit key clarity.

[0102] This scheme detects the template type of the business data to be audited. When the template type of the business data to be audited is detected, key text area detection is introduced on the basis of the maximum effective text area and the unit text area. At the same time, on the basis of the average clarity and the unit clarity, the calculation of key clarity is introduced again. When it is detected that the comprehensive clarity detection result of the business data to be audited is unclear or the key clarity detection result of the key text area of ​​the business data to be audited is unclear, it is determined that the business data to be audited is unclear. In comparison, the clarity of the key text in the key text area is more important than the clarity of the text in the unit text area. Therefore, on the basis of the unit clarity detection of the unit text area, the clarity detection process of the key text in the key text area is further added, the clarity of the key text of the medical supplies business data is taken into consideration, and the clarity detection accuracy of the medical supplies business data is further improved, thereby improving the audit accuracy of the medical supplies business data.

[0103] Figure 3 This is a flow chart of a method for reviewing the business information of medical products. Figure 3 This is a preferred embodiment of the present invention. Figure 3 The medical product business information method shown includes:

[0104] S310. Obtain the business information to be reviewed, and detect the template type of the business information to be reviewed.

[0105] S320. When the template type of the business data to be reviewed is not detected, a general processing flow is adopted to detect the business data to be reviewed, and a comprehensive clarity detection result of the business data to be reviewed is obtained.

[0106] Among them, the general processing flow may include: identifying the business data to be audited, obtaining the maximum effective text area, at least one unit text area and the unit text content corresponding to each unit text area of ​​the business data to be audited; using the Laplace algorithm to calculate the maximum effective text area to obtain the average clarity of the maximum effective text area; using the Laplace algorithm to identify each unit text area to obtain the unit clarity of each unit text area; calculating the mean unit clarity of each unit text area; taking a weighted sum of the average clarity of the maximum effective text area and the mean unit clarity of each unit text area to obtain the comprehensive clarity of the business data to be audited; comparing the comprehensive clarity of the business data to be audited with a preset comprehensive clarity threshold. If the comprehensive clarity of the business data to be audited is greater than or equal to the preset comprehensive clarity threshold, the comprehensive clarity detection result of the business data to be audited is clear; if the comprehensive clarity of the business data to be audited is less than the preset comprehensive clarity threshold, the comprehensive clarity detection result of the business data to be audited is unclear.

[0107] S330. When the template type of the business data to be audited is detected, a general processing flow is adopted to detect the business data to be audited, and a comprehensive clarity detection result of the business data to be audited is obtained. At the same time, a key text area processing flow is adopted to detect the business data to be audited, and a key clarity detection result of the business data to be audited is obtained; based on the comprehensive clarity detection result and the key clarity detection result, the comprehensive clarity detection result of the business data to be audited is updated.

[0108] The key text area processing flow may include: when the template type of the business data to be reviewed is detected, detecting at least one key text area of ​​the business data to be reviewed; calculating the unit key clarity of each key text area; integrating the unit key clarity of each key text area to obtain the key clarity of each key text area; obtaining a preset key clarity threshold, and comparing the key clarity of each key text area with the preset key clarity threshold to obtain the key clarity detection result of the business data to be reviewed.

[0109] Specifically, when it is detected that the comprehensive clarity test result of the business materials to be audited is clear and the key clarity test result of the key text area of ​​the business materials to be audited is clear, the comprehensive clarity of the business materials to be audited is updated to clear; when it is detected that the comprehensive clarity test result of the business materials to be audited is unclear or the key clarity test result of the key text area of ​​the business materials to be audited is unclear, the comprehensive clarity of the business materials to be audited is updated to unclear.

[0110] Optionally, when the comprehensive clarity of the business information to be reviewed is detected to be unclear, feedback can be provided to the medical product management platform to prompt the medical product management platform to manually review the clarity of the business information to be reviewed.

[0111] S340: Perform consistency check on the unit text content of the business data to be reviewed and the corresponding reference text content to obtain the consistency check result of the business data to be reviewed.

[0112] The reference text content may be pre-stored in a database.

[0113] S350. Determine the audit results of the business information to be audited based on the comprehensive clarity test results and consistency test results of the business information to be audited.

[0114] Specifically, when the consistency test results of the unit text contents and the comprehensive clarity test results of the business materials to be audited are clear, which means that the text contents of each unit are consistent with the corresponding reference text contents, the audit result of the business materials to be audited is determined to be passed; when the consistency test results of the unit text contents are inconsistent with the corresponding reference text contents or the comprehensive clarity test results of the business materials to be audited are unclear, the audit result of the business materials to be audited is determined to be failed.

[0115] This solution can improve the efficiency of reviewing medical product business information, thereby increasing the review pass rate.

[0116] Embodiment 3

[0117] Figure 4 This is a schematic diagram of the structure of a medical product business information review device provided in Embodiment 3 of the present invention. The embodiment of the present invention can be applied to the situation of reviewing the medical product business information in the medical product business platform. The device can execute the medical product business information review method. The device can be implemented in the form of hardware and / or software. The device can be configured in an electronic device that carries the medical product business information review function.

[0118] See also Figure 4 The medical product business information review device shown includes: a business information acquisition module 410, a unit text area recognition module 420, a comprehensive clarity detection module 430, a reference text content query module 440, a text content consistency detection module 450 and an audit result determination module 460. Among them, the business information acquisition module 410 is used to obtain the business information to be reviewed; the unit text area identification module 420 is used to identify the business information to be reviewed and obtain at least one unit text area and the unit text content corresponding to the unit text area; the comprehensive clarity detection module 430 is used to perform clarity detection on each of the unit text areas to obtain a comprehensive clarity detection result of the business information to be reviewed; the reference text content query module 440 is used to query the reference text content corresponding to each of the unit text contents according to the identity identifier contained in each of the unit text contents when the comprehensive clarity detection result of the business information to be reviewed is clear; the text content consistency detection module 450 is used to perform consistency detection on each of the unit text contents and the corresponding reference text content; the audit result determination module 460 is used to determine the audit result of the business information to be reviewed according to the consistency detection result of the unit text content.

[0119] The technical solution of the embodiment of the present invention identifies the business data to be audited, obtains at least one unit text area and the unit text content corresponding to the unit text area, performs clarity detection on each unit text area, and obtains a comprehensive clarity detection result of the business data to be audited. When the comprehensive clarity detection result of the business data to be audited is clear, the reference text content corresponding to each unit text content is queried according to the identity identifier contained in each unit text content, and a consistency detection is performed on each unit text content and the corresponding reference text content. According to the consistency detection result of the unit text content, the audit result of the business data to be audited is determined, and from the two aspects of text clarity and content consistency, the automatic audit of the business data of the medical supplies provider is realized, the audit efficiency and audit accuracy of the business data of the medical product provider are improved, and the operational stability of the medical product business platform can be guaranteed.

[0120] In an optional embodiment of the present invention, the unit text area identification module includes: a maximum effective text area identification unit, which is used to identify the business data to be reviewed, and obtain the maximum effective text area, at least one unit text area and the unit text content corresponding to the unit text area; the comprehensive clarity detection module includes: an average clarity calculation unit, which is used to calculate the clarity of the maximum effective text area and obtain the average clarity of the maximum effective text area; a unit clarity calculation unit, which is used to calculate the clarity of each of the unit text areas and obtain the unit clarity of each of the unit text areas; a comprehensive clarity calculation unit, which is used to combine the average clarity of the maximum effective text area and the unit clarity of each of the unit text areas to obtain the comprehensive clarity of the business data to be reviewed; a comprehensive clarity detection unit, which is used to compare the comprehensive clarity of the business data to be reviewed with a preset comprehensive clarity threshold to obtain a comprehensive clarity detection result of the business data to be reviewed.

[0121] In an optional embodiment of the present invention, the device further includes: a template type detection module, which is used to detect the template type of the business data to be audited after the business data to be audited is obtained; a key text area detection module, which is used to detect at least one key text area of ​​the business data to be audited when the template type of the business data to be audited is detected; a unit key clarity calculation module, which is used to calculate the unit key clarity of each of the key text areas; a key clarity calculation module, which is used to integrate the unit key clarity of each of the key text areas to obtain the key clarity of each of the key text areas; a key clarity detection module, which is used to obtain a preset key clarity threshold, and compare the key clarity of each of the key text areas with the preset key clarity threshold to obtain a key clarity detection result of the business data to be audited; the audit result determination module also includes: an audit result determination unit, which is used to determine that the business data to be audited is unclear after the comprehensive clarity detection result of the business data to be audited is obtained, when it is detected that the comprehensive clarity detection result of the business data to be audited is unclear or the key clarity detection result of the key text area of ​​the business data to be audited is unclear.

[0122] In an optional embodiment of the present invention, the device further includes: an official seal text area removal module, which is used to detect and remove the official seal text area in each unit text area after obtaining at least one unit text area and the unit text content corresponding to the unit text area.

[0123] In an optional embodiment of the present invention, the business data to be reviewed includes first-time business data or periodic business data.

[0124] The medical product business information review device provided in the embodiment of the present invention can execute the medical product business information review method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0125] In the technical solution of the embodiment of the present invention, the acquisition, storage and application of the business information to be reviewed, the preset comprehensive clarity threshold and the preset key clarity threshold, etc., all comply with the provisions of relevant laws and regulations and do not violate public order and good morals.

[0126] Embodiment 4

[0127] Figure 5A schematic diagram of the structure of an electronic device 500 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0128] like Figure 5 As shown, the electronic device 500 includes at least one processor 501, and a memory connected to the at least one processor 501 in communication, such as a read-only memory (ROM) 502, a random access memory (RAM) 503, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 501 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 502 or the computer program loaded from the storage unit 508 to the random access memory (RAM) 503. In the RAM 503, various programs and data required for the operation of the electronic device 500 can also be stored. The processor 501, the ROM 502, and the RAM 503 are connected to each other via a bus 504. An input / output (I / O) interface 505 is also connected to the bus 504.

[0129] Multiple components in the electronic device 500 are connected to the I / O interface 505, including: an input unit 506, such as a keyboard, a mouse, etc.; an output unit 507, such as various types of displays, speakers, etc.; a storage unit 508, such as a disk, an optical disk, etc.; and a communication unit 509, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 509 allows the electronic device 500 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0130] Processor 501 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of processor 501 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, digital signal processors (DSPs), and any appropriate processors, controllers, microcontrollers, etc. Processor 501 performs the various methods and processes described above, such as a medical product business data review method.

[0131] In some embodiments, the medical product business data audit method can be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 508. In some embodiments, part or all of the computer program can be loaded and / or installed on the electronic device 500 via the ROM 502 and / or the communication unit 509. When the computer program is loaded into the RAM 503 and executed by the processor 501, one or more steps of the medical product business data audit method described above can be performed. Alternatively, in other embodiments, the processor 501 can be configured to execute the medical product business data audit method in any other appropriate manner (e.g., by means of firmware).

[0132] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0133] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0134] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in combination with an instruction execution system, device or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0135] To provide interaction with a user, the systems and techniques described herein may be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0136] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0137] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The relationship between the client and the server is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or a cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS (Virtual Private Server) services.

[0138] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0139] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for reviewing medical product business information, characterized in that: The method comprises: Obtaining business information to be reviewed; Identify the business data to be reviewed to obtain at least one unit text area and unit text content corresponding to the unit text area; Performing clarity detection on each unit text area to obtain a comprehensive clarity detection result of the business information to be reviewed; When the comprehensive clarity test result of the business data to be reviewed is clear, querying the reference text content corresponding to each unit text content according to the identity identifier contained in each unit text content; Performing consistency check on the text content of each unit and the corresponding reference text content; The audit result of the business information to be audited is determined based on the consistency test result of the unit text content.

2. The method according to claim 1, characterized in that The step of identifying the business data to be reviewed to obtain at least one unit text area and unit text content corresponding to the unit text area includes: Identify the business data to be reviewed to obtain a maximum effective text area, at least one unit text area, and unit text content corresponding to the unit text area; The clarity detection of each unit text area is performed to obtain a comprehensive clarity detection result of the business information to be reviewed, including: Calculating the clarity of the maximum effective text area to obtain an average clarity of the maximum effective text area; Calculating the clarity of each unit text area to obtain the unit clarity of each unit text area; The average clarity of the maximum effective text area and the unit clarity of each unit text area are combined to obtain the comprehensive clarity of the business information to be reviewed; A preset comprehensive clarity threshold is obtained, and the comprehensive clarity of the business information to be reviewed is compared with the preset comprehensive clarity threshold to obtain a comprehensive clarity detection result of the business information to be reviewed.

3. The method according to claim 2, characterized in that After obtaining the business information to be reviewed, it also includes: Testing the template type of the business information to be reviewed; When the template type of the business information to be reviewed is detected, detecting at least one key text area of ​​the business information to be reviewed; Calculating the unit key clarity of each key text area; The unit key clarity of each key text area is integrated to obtain the key clarity of each key text area; Obtaining a preset key clarity threshold, and comparing the key clarity of each of the key text areas with the preset key clarity threshold to obtain a key clarity detection result of the business information to be reviewed; After obtaining the comprehensive clarity test results of the business information to be reviewed, it also includes: When it is detected that the comprehensive clarity detection result of the business data to be reviewed is unclear or the key clarity detection result of the key text area of ​​the business data to be reviewed is unclear, it is determined that the business data to be reviewed is unclear.

4. The method according to claim 2, characterized in that: After obtaining the maximum effective text area, at least one unit text area and the unit text content corresponding to the unit text area, the method further includes: In the maximum valid text area, the official seal area is detected and removed.

5. The method according to claim 1, characterized in that The operating information to be reviewed includes first-time operating information or periodic operating information.

6. A medical product business information review device, characterized in that: The device comprises: The business data acquisition module is used to obtain the business data to be reviewed; A unit text area recognition module, used to recognize the business data to be reviewed, and obtain at least one unit text area and the unit text content corresponding to the unit text area; A comprehensive clarity detection module is used to perform clarity detection on each unit text area to obtain a comprehensive clarity detection result of the business information to be reviewed; A reference text content query module, used for querying the reference text content corresponding to each unit text content according to the identity identifier contained in each unit text content when the comprehensive clarity detection result of the business data to be reviewed is clear; A text content consistency detection module, used for performing consistency detection on each unit text content and the corresponding reference text content; The audit result determination module is used to determine the audit result of the business information to be audited according to the consistency detection result of the unit text content.

7. The device according to claim 6, characterized in that The unit text area recognition module includes: A maximum effective text area identification unit, used to identify the business information to be reviewed, and obtain a maximum effective text area, at least one unit text area, and unit text content corresponding to the unit text area; The comprehensive clarity detection module comprises: An average clarity calculation unit, used for calculating the clarity of the maximum effective text area to obtain an average clarity of the maximum effective text area; A unit clarity calculation unit, used for calculating the clarity of each unit text area to obtain the unit clarity of each unit text area; A comprehensive clarity calculation unit, used for synthesizing the average clarity of the maximum effective text area and the unit clarity of each unit text area to obtain the comprehensive clarity of the business information to be reviewed; The comprehensive clarity detection unit is used to compare the comprehensive clarity of the business data to be reviewed with a preset comprehensive clarity threshold to obtain a comprehensive clarity detection result of the business data to be reviewed.

8. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the medical product business information review method described in any one of claims 1-5.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the medical product business information review method according to any one of claims 1 to 5 when executed.

10. A computer program product, characterized in that The computer program product comprises a computer program, and when the computer program is executed by a processor, the method for reviewing the business information of medical products according to any one of claims 1 to 5 is implemented.

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