Medical auditing system document uploading quality control method and device

Abstract

The invention discloses a medical review system document uploading quality control method and device, and the method comprises the steps: obtaining a hospitalization expense list document picture to be uploaded to a medical review system, carrying out the OCR recognition of the hospitalization expense list document picture, and obtaining a picture character recognition result; page number extraction is carried out on the picture character recognition result, wherein the page number extraction comprises the current page number and the total page number; judging whether the number of the hospitalization expense list document pictures to be uploaded is the same as the total page number; if the number of the hospitalization expense list document pictures to be uploaded is smaller than the total page number, performing incomplete uploading prompt to the user; if the number of the hospitalization expense list document pictures is equal to the total page number, the current page number of the hospitalization expense list document pictures is judged repeatedly, and if the current page number of the hospitalization expense list document pictures is not repeated, a correct prompt is uploaded to a user. According to the invention, the situation that the medical examination and verification effect is not ideal due to the fact that individual data is forgotten to be uploaded is avoided, and later maintenance can be quickly and accurately carried out.

Description

Technical Field

[0001] This invention relates to the field of medical review technology, specifically to a method and apparatus for quality control of document upload in a medical review system. Background Technology

[0002] Currently, when uploading data to the medical review system, users often upload incomplete data, with missing pages or other issues.

[0003] Traditional technologies typically rely on manual verification to determine if data is incomplete or missing pages. This is not only labor-intensive and involves large volumes of data, but also slow and prone to human error, leading to incomplete verification. Missing data negatively impacts the effectiveness of medical audits. Furthermore, once issues are discovered, users need to submit documents repeatedly for verification, a time-consuming and redundant process. Therefore, implementing quality control measures for uploaded documents in medical audit systems has practical application significance. Summary of the Invention

[0004] To address this issue, the present invention provides a method and apparatus for quality control of document uploads in a medical review system, which solves the problems of low efficiency, incomplete verification, and susceptibility to errors associated with traditional manual verification.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a quality control method for document upload in a medical review system, comprising:

[0006] Obtain an image of the inpatient expense list document to be uploaded to the medical review system, and perform OCR recognition on the inpatient expense list document image to obtain the image text recognition result;

[0007] Page number extraction is performed on the image text recognition results, including the current page number and the total number of pages;

[0008] Determine whether the number of images of the hospital expense list document to be uploaded is the same as the total number of pages:

[0009] If the number of images of the hospital expense list document is less than the total number of pages, a message indicating incomplete upload will be sent to the user.

[0010] If the number of images of the hospital expense list document is equal to the total number of pages, a duplicate check is performed on the current page number of the hospital expense list document images. If there is no duplicate current page number of the hospital expense list document images, a prompt is sent to the user indicating that the upload was correct.

[0011] As a preferred method for quality control of document uploads in a medical review system, if the number of images of the inpatient expense list is less than the total number of pages, the current page number of the images of the inpatient expense list is sorted, and the current page number of the missing images of the inpatient expense list is found.

[0012] As a preferred method for quality control of document uploads in a medical review system, if the number of images of the inpatient expense list document exceeds the total number of pages, a duplicate upload prompt will be given to the user.

[0013] The system checks for duplicate page numbers in the inpatient expense list document image and prompts the user if the page number has been uploaded repeatedly.

[0014] As a preferred method for quality control of document uploads in the medical review system, the method for determining duplicate page numbers in the inpatient expense list document image is as follows:

[0015] The current page number of the inpatient expense list document image is compared, and the inpatient expense list document image with the current page number appearing more than once is determined to be a duplicate upload.

[0016] As a preferred method for quality control of document uploads in a medical review system, if the number of images of the inpatient expense list is equal to the total number of pages, and if the current page number of the inpatient expense list image is duplicated, the user will be prompted to upload duplicate pages, and the missing current page number of the inpatient expense list image will be identified.

[0017] The system prompts users with information about duplicate page numbers and missing page numbers.

[0018] The present invention also provides a quality control device for document upload in a medical review system, comprising:

[0019] The OCR recognition module is used to acquire the image of the inpatient expense list document to be uploaded to the medical review system, perform OCR recognition on the inpatient expense list document image, and obtain the image text recognition result.

[0020] The page number extraction module is used to extract page numbers from the image text recognition results. The page number extraction includes the current page number and the total page number.

[0021] The image quantity verification module is used to determine whether the number of images of the hospital expense list document to be uploaded is the same as the total number of pages;

[0022] The first prompt module is used to prompt the user that the upload is incomplete if the number of images of the inpatient expense list document is less than the total number of pages.

[0023] The duplicate detection module is used to determine the current page number of the hospital expense list document image if the number of images equals the total number of pages.

[0024] The second prompt module is used to prompt the user that the current page number of the inpatient expense list document image is not duplicated.

[0025] As a preferred solution for document upload quality control devices in medical review systems, it also includes:

[0026] The missing page number lookup module is used to sort the current page number of the hospital expense list document images if the number of images is less than the total number of pages, and then find the current page number of the missing hospital expense list document images.

[0027] As a preferred solution for document upload quality control devices in medical review systems, it also includes:

[0028] The third prompt module is used to prompt the user that the number of images of the inpatient expense list document exceeds the total number of pages, indicating that the upload has been repeated.

[0029] The third prompt module is also used to determine if the current page number of the inpatient expense list document image is duplicated, and to prompt the user that the page number has been uploaded repeatedly.

[0030] As a preferred solution for the document upload quality control device in the medical review system, the third prompt module uses the following method to determine if the current page number of the inpatient expense list document image is duplicated:

[0031] The current page number of the inpatient expense list document image is compared, and the inpatient expense list document image with the current page number appearing more than once is determined to be a duplicate upload.

[0032] As a preferred solution for the document upload quality control device in the medical review system, it also includes a fourth prompt module, which, when the number of hospital expense list document images is equal to the total number of pages, if there is a duplicate page number in the current page number of the hospital expense list document images, prompts the user for duplicate uploaded pages and finds the current page number of the missing hospital expense list document images; and prompts the user for the number of duplicate uploaded pages and the number of missing pages.

[0033] This invention has the following advantages: It acquires an image of a hospital expense statement document to be uploaded to the medical review system; performs OCR recognition on the image to obtain image text recognition results; extracts page numbers from the image text recognition results, including the current page number and the total page number; and determines whether the number of hospital expense statement document images to be uploaded is the same as the total page number: if the number of hospital expense statement document images is less than the total page number, a message indicating incomplete upload is sent to the user; if the number of hospital expense statement document images is equal to the total page number, a duplicate check is performed on the current page number of the hospital expense statement document images; if there is no duplicate current page number, a message indicating correct upload is sent to the user. This invention reduces the learning cost for users of medical review systems, provides an operation that meets user expectations, avoids unsatisfactory medical review results due to forgetting to upload individual data, and also avoids operational errors and delays that may be caused by manual intervention. It also facilitates quick and accurate post-maintenance. Attached Figure Description

[0034] To more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings in the following description are merely exemplary, and those skilled in the art can derive other embodiments based on the provided drawings without creative effort.

[0035] The structures, proportions, sizes, etc. illustrated in this specification are only for the purpose of assisting those skilled in the art in understanding and reading the content disclosed herein, and are not intended to limit the conditions under which the present invention can be implemented. Therefore, they have no substantial technical significance. Any modifications to the structure, changes in the proportions, or adjustments to the size, without affecting the effects and objectives that the present invention can produce, should still fall within the scope of the technical content disclosed in the present invention.

[0036] Figure 1 This is a schematic diagram of the document upload quality control method for the medical review system provided in Embodiment 1 of the present invention;

[0037] Figure 2 This is a schematic diagram of the document upload quality control device architecture of the medical review system provided in Embodiment 2 of the present invention. Detailed Implementation

[0038] The following specific embodiments illustrate the implementation of the present invention. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0039] Example 1

[0040] See Figure 1 Embodiment 1 of the present invention provides a quality control method for uploading documents in a medical review system, comprising the following steps:

[0041] S1. Obtain the image of the inpatient expense list document to be uploaded to the medical review system, and perform OCR recognition on the inpatient expense list document image to obtain the image text recognition result.

[0042] S2. Extract page numbers from the image text recognition results, including the current page number and the total number of pages;

[0043] S3. Determine whether the number of images of the hospital expense list document to be uploaded is the same as the total number of pages:

[0044] S31. If the number of images of the inpatient expense list document is less than the total number of pages, a notification will be sent to the user indicating that the upload is incomplete.

[0045] S32. If the number of images of the hospital expense list document is equal to the total number of pages, a duplicate check is performed on the current page number of the hospital expense list document images. If there is no duplicate current page number of the hospital expense list document images, a prompt is sent to the user indicating that the upload is correct.

[0046] In this embodiment, the OCR recognition principle used in step S1 includes image preprocessing (color image grayscale conversion, binarization, image angle change detection, correction, etc.), layout segmentation (straight line detection, tilt detection), character positioning and segmentation, character recognition, layout restoration, post-processing, and proofreading. These are existing technologies and will not be elaborated further here.

[0047] Then, in step S2, page numbers are extracted from the image text recognition results to obtain the total number of pages in the uploaded hospital expense list document images and the page number corresponding to each image.

[0048] The purpose of obtaining the image text recognition results is to extract the page number and total page number of the hospital expense statement image. Typically, the page number of the hospital expense statement image is marked in the footer or at the end of the image, in the format of page n / m, where n is the current page number and m is the total page number.

[0049] For example, for a set of hospital expense statement images with a total of 5 pages, OCR recognition can extract the page numbers as: Page 1 / 5, Page 2 / 5, Page 3 / 5, Page 4 / 5, Page 5 / 5; thus, the total number of pages is 5. Alternatively, OCR recognition can extract the page numbers as: Page 1 of 5, Page 2 of 5, Page 3 of 5, Page 4 of 5, Page 5 of 5; again, this confirms the total number of pages in the hospital expense statement image is 5.

[0050] In this embodiment, in step S3, it is determined whether the number of images of the hospital expense statement document to be uploaded is the same as the total number of pages. For example, for a set of hospital expense statement document images with a total of 5 pages, it is determined whether the user has uploaded 5 images with page numbers 1, 2, 3, 4, and 5. If the number of images uploaded by the user is less than 5, it can be determined that there is an incomplete upload.

[0051] Even if the number of images of the hospital expense list document equals the total number of pages, there may still be cases of duplicate uploads. Therefore, when the number of images of the hospital expense list document equals the total number of pages, the current page number of the hospital expense list document image can be checked for duplicates. If the current page number of the hospital expense list document image does not have a duplicate, the user will be prompted that the upload was correct.

[0052] In this embodiment, if the number of images of the inpatient expense list is less than the total number of pages, the current page number of the images of the inpatient expense list is sorted, and the current page number of the missing images of the inpatient expense list is found.

[0053] For example, if a set of hospital expense list images with a total of 5 pages is selected, and it is determined that the user uploaded fewer than 5 images, then all the extracted page numbers are sorted. If the sorting result is 1, 2, 3, 5, then it can be determined that the hospital expense list image with 4 pages was not uploaded, and a prompt will be sent to the user.

[0054] In this embodiment, the method further includes: if the number of images of the hospital expense list document is greater than the total number of pages, a duplicate upload prompt is sent to the user; the current page number of the hospital expense list document image is checked for duplicate uploads, and the user is prompted for duplicate page number uploads; the method for checking the current page number of the hospital expense list document image is as follows: the current page number of the hospital expense list document image is compared, and the hospital expense list document image whose current page number appears more than once is determined to be a duplicate upload.

[0055] Specifically, for example, given a set of hospital expense statement images with a total of 5 pages, if the number of images uploaded by the user is greater than 5, it can be determined that there is a duplicate upload. For duplicate uploaded hospital expense statement images, the corresponding page numbers will be repeated. By analyzing the number of repeated page numbers, the duplicate uploaded hospital expense statement images can be confirmed. For example, if page numbers 1, 2, 2, 3, 4, and 5 are identified, it can be confirmed that the hospital expense statement image with 2 pages is a duplicate upload.

[0056] In one possible embodiment, if the number of hospital expense list document images equals the total number of pages, and if there are duplicate current page numbers for the hospital expense list document images, the user is prompted to upload duplicate page numbers, and the missing current page numbers of the hospital expense list document images are located; the user is prompted to upload duplicate page numbers and the number of missing page numbers.

[0057] Specifically, even if the number of hospital expense statement images equals the total number of pages, there may still be cases of omissions or duplicate uploads. In such cases, the system identifies omissions or duplicate uploads. For example, if the current page numbers of the hospital expense statement images are 1, 2, 2, 3, and 5, it means that the hospital expense statement image with page number 2 has been uploaded repeatedly, while the hospital expense statement image with page number 4 is missing. The system will then notify the user of the missing or duplicate page numbers so that the user can re-upload the images.

[0058] In summary, this invention acquires an image of a hospital expense statement document to be uploaded to a medical review system, performs OCR recognition on the image to obtain image text recognition results, extracts page numbers from the image text recognition results, including the current page number and the total number of pages, and determines whether the number of hospital expense statement document images to be uploaded is the same as the total number of pages: if the number of hospital expense statement document images is less than the total number of pages, an incomplete upload prompt is sent to the user; if the number of hospital expense statement document images is equal to the total number of pages, a duplicate check is performed on the current page number of the hospital expense statement document images; if there is no duplicate current page number of the hospital expense statement document images, a correct upload prompt is sent to the user. If the number of hospital expense statement document images is less than the total number of pages, the current page numbers of the hospital expense statement document images are sorted, and the current page numbers of the missing hospital expense statement document images are found. If the number of hospital expense statement images exceeds the total number of pages, a duplicate upload prompt is sent to the user. The current page number of each hospital expense statement image is checked for duplicates, and the user is prompted for duplicate page number uploads. The method for checking for duplicate page numbers is as follows: the current page numbers of each hospital expense statement image are compared, and images with the current page number appearing more than once are considered duplicate uploads. If the number of hospital expense statement images equals the total number of pages, and there are duplicate current page numbers, the user is prompted for duplicate page number uploads, and the missing current page numbers of the hospital expense statement images are identified. The user is then prompted for both duplicate and missing page numbers. This invention reduces the learning cost for users of medical auditing, provides an expected user operation, avoids unsatisfactory medical auditing results due to forgetting to upload individual data, and avoids operational errors and delays caused by manual intervention. It also facilitates quick and accurate post-maintenance.

[0059] It should be noted that the method of this disclosure embodiment can be executed by a single device, such as a computer or server. The method of this embodiment can also be applied to a distributed scenario, where multiple devices cooperate to complete the task. In such a distributed scenario, one of these devices may execute only one or more steps of the method of this disclosure embodiment, and the multiple devices will interact with each other to complete the method described.

[0060] It should be noted that the above description describes some embodiments of this disclosure. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in a different order than that shown in the above embodiments and still achieve the desired result. Furthermore, the processes depicted in the drawings do not necessarily require a specific or sequential order to achieve the desired result. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0061] Example 2

[0062] See Figure 2 Embodiment 2 of the present invention also provides a document upload quality control device for a medical review system, comprising:

[0063] OCR recognition module 1 is used to acquire the image of the inpatient expense list document to be uploaded to the medical review system, perform OCR recognition on the inpatient expense list document image, and obtain the image text recognition result.

[0064] Page number extraction module 2 is used to extract page numbers from the image text recognition results. The page number extraction includes the current page number and the total page number.

[0065] Image quantity verification module 3 is used to determine whether the number of images of the hospital expense list document to be uploaded is the same as the total number of pages;

[0066] The first prompt module 4 is used to prompt the user that the upload is incomplete if the number of images of the inpatient expense list document is less than the total number of pages.

[0067] The duplicate detection module 5 is used to perform a duplicate detection on the current page number of the hospitalization expense list document image if the number of images is equal to the total number of pages.

[0068] The second prompt module 6 is used to prompt the user to upload correctly if the current page number of the inpatient expense list document image does not have a duplicate.

[0069] This embodiment also includes:

[0070] The missing page number lookup module 7 is used to sort the current page number of the hospital expense list document images if the number of images is less than the total number of pages, and then find the current page number of the missing hospital expense list document images.

[0071] This embodiment also includes:

[0072] The third prompt module 8 is used to prompt the user for repeated uploading if the number of images of the inpatient expense list document exceeds the total number of pages.

[0073] The third prompt module 8 is also used to determine if the current page number of the inpatient expense list document image is duplicated, and to prompt the user that the page number has been uploaded repeatedly.

[0074] In this embodiment, the third prompt module 8 determines the duplicate page number of the inpatient expense list document image as follows:

[0075] The current page number of the inpatient expense list document image is compared, and the inpatient expense list document image with the current page number appearing more than once is determined to be a duplicate upload.

[0076] In this embodiment, a fourth prompt module 9 is also included. When the number of hospital expense list document images is equal to the total number of pages, if there is a duplicate current page number of the hospital expense list document images, the module will prompt the user to upload duplicate pages and find the current page number of the missing hospital expense list document images; and prompt the user to upload duplicate pages and display the number of missing pages.

[0077] It should be noted that the information interaction and execution process between the modules of the above-mentioned device are based on the same concept as the method embodiment in Embodiment 1 of this application, and the resulting technical effects are the same as those in the method embodiment of this application. For details, please refer to the description in the method embodiment shown above in this application, and it will not be repeated here.

[0078] Example 3

[0079] Embodiment 3 of the present invention provides a non-transitory computer-readable storage medium storing program code for a medical review system document upload quality control method. The program code includes instructions for executing the medical review system document upload quality control method of Embodiment 1 or any possible implementation thereof.

[0080] Computer-readable storage media can be any available medium that a computer can access, or a data storage device such as a server or data center that integrates one or more available media. The available medium can be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., DVDs), or semiconductor media (e.g., solid-state drives, SSDs).

[0081] Example 4

[0082] Embodiment 4 of the present invention provides an electronic device, including: a memory and a processor;

[0083] The processor and the memory communicate with each other via a bus; the memory stores program instructions that can be executed by the processor, and the processor can execute the document upload quality control method of the medical review system in Embodiment 1 or any possible implementation thereof by calling the program instructions.

[0084] Specifically, a processor can be implemented in hardware or software. When implemented in hardware, the processor can be a logic circuit, an integrated circuit, etc. When implemented in software, the processor can be a general-purpose processor that reads software code stored in memory. This memory can be integrated into the processor or located outside the processor and exist independently.

[0085] In the above embodiments, implementation can be achieved, in whole or in part, through software, hardware, firmware, or any combination thereof. When implemented in software, it can be implemented, in whole or in part, as a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the processes or functions described in the embodiments of the present invention are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means.

[0086] It is obvious to those skilled in the art that the modules or steps of the present invention described above can be implemented using general-purpose computing devices. They can be centralized on a single computing device or distributed across a network of multiple computing devices. Optionally, they can be implemented using computer-executable program code, thereby storing them in a storage device for execution by a computing device. In some cases, the steps shown or described can be performed in a different order than those presented herein, or they can be fabricated as separate integrated circuit modules, or multiple modules or steps can be fabricated as a single integrated circuit module. Thus, the present invention is not limited to any particular combination of hardware and software.

[0087] Although the present invention has been described in detail above with general descriptions and specific embodiments, modifications or improvements can be made to it, which will be obvious to those skilled in the art. Therefore, all such modifications or improvements made without departing from the spirit of the present invention fall within the scope of protection claimed by the present invention.

Claims

1. A quality control method for document uploads in a medical review system, characterized in that, include: Obtain an image of the inpatient expense list document to be uploaded to the medical review system, and perform OCR recognition on the inpatient expense list document image to obtain the image text recognition result; Page number extraction is performed on the image text recognition results, including the current page number and the total number of pages; Determine whether the number of images of the hospital expense list document to be uploaded is the same as the total number of pages: If the number of images of the hospital expense list document is less than the total number of pages, a message indicating incomplete upload will be sent to the user. If the number of images of the hospital expense list document is equal to the total number of pages, a duplicate check is performed on the current page number of the hospital expense list document images. If there is no duplicate current page number of the hospital expense list document images, a prompt is sent to the user indicating that the upload was correct.

2. The method of claim 1, wherein the medical review system document upload quality control method is characterized by, If the number of images of the inpatient expense list is less than the total number of pages, sort the current page numbers of the images of the inpatient expense list and find the current page numbers of the missing images of the inpatient expense list.

3. The method of claim 1, wherein the medical review system document upload quality control method is characterized by, If the number of images of the hospital expense list document exceeds the total number of pages, a duplicate upload prompt will be sent to the user. The system checks for duplicate page numbers in the inpatient expense list document image and prompts the user if the page number has been uploaded repeatedly.

4. The method of claim 3, wherein the medical review system document upload quality control method is characterized by, The method for determining duplicate page numbers in the aforementioned hospital expense statement document image is as follows: The current page number of the inpatient expense list document image is compared, and the inpatient expense list document image with the current page number appearing more than once is determined to be a duplicate upload.

5. The method of claim 1, wherein the medical review system document upload quality control method is characterized by, If the number of images of the inpatient expense list is equal to the total number of pages, and there is a duplicate current page number for the images of the inpatient expense list, the user will be prompted to upload duplicate page numbers, and the missing current page number of the images of the inpatient expense list will be found. The system prompts users with information about duplicate page numbers and missing page numbers.

6. A medical review system document upload quality control device, comprising: include: The OCR recognition module is used to acquire the image of the inpatient expense list document to be uploaded to the medical review system, perform OCR recognition on the inpatient expense list document image, and obtain the image text recognition result. The page number extraction module is used to extract page numbers from the image text recognition results. The page number extraction includes the current page number and the total page number. The image quantity verification module is used to determine whether the number of images of the hospital expense list document to be uploaded is the same as the total number of pages; The first prompt module is used to prompt the user that the upload is incomplete if the number of images of the inpatient expense list document is less than the total number of pages. The duplicate detection module is used to determine the current page number of the hospital expense list document image if the number of images equals the total number of pages. The second prompt module is used to prompt the user that the current page number of the inpatient expense list document image is not duplicated.

7. The medical review system document upload quality control device of claim 6, wherein, Also includes: The missing page number lookup module is used to sort the current page number of the hospital expense list document images if the number of images is less than the total number of pages, and then find the current page number of the missing hospital expense list document images.

8. The medical review system document upload quality control device of claim 6, wherein, Also includes: The third prompt module is used to prompt the user that the number of images of the inpatient expense list document exceeds the total number of pages, indicating that the upload has been repeated. The third prompt module is also used to determine if the current page number of the inpatient expense list document image is duplicated, and to prompt the user that the page number has been uploaded repeatedly.

9. The medical review system document upload quality control device of claim 8, wherein, In the third prompt module, the method for determining duplicate page numbers of the inpatient expense list document image is as follows: The current page number of the inpatient expense list document image is compared, and the inpatient expense list document image with the current page number appearing more than once is determined to be a duplicate upload.

10. The medical review system document upload quality control device of claim 6, wherein, It also includes a fourth prompt module, which, when the number of images of the hospital expense list document is equal to the total number of pages, if there is a duplicate current page number of the images of the hospital expense list document, prompts the user for duplicate uploaded page numbers and finds the current page number of the missing images of the hospital expense list document; and prompts the user for the number of duplicate uploaded page numbers and the number of missing page numbers.

Images