CN113298067A - Physical examination result automatic auditing method and system, electronic equipment and storage medium - Google Patents
Physical examination result automatic auditing method and system, electronic equipment and storage medium Download PDFInfo
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Abstract
A physical examination result automatic auditing method and system, electronic equipment and a storage medium. The automatic examination method for the physical examination results comprises the following steps: inputting physical examination data to be examined; analyzing physical examination data to be examined; and the system outputs an audit conclusion based on the analysis result. According to the invention, through technologies such as image character recognition, mode recognition, text processing and the like, corresponding physical examination results can be automatically analyzed from data such as characters, images and the like of the physical examination results, the degree of automation is high, a large amount of manpower and material resources can be saved, and the recruitment difficulty of auditors is reduced.
Description
Technical Field
The invention belongs to the technical field of machine learning, and particularly relates to a physical examination result automatic auditing method and system, electronic equipment and a storage medium.
Background
With the development of automation technology, various documents and reports are electronic, and the electronic reports are gradually released from the prior paper physical examination reports, so that the electronic reports are very convenient for users to inquire and carry.
For the home administration service platform, a physical examination report needs to be involved for a lot of workers, for example, a chef needs to remove the applying qualification of infectious disease carriers such as hepatitis B, and the aunt needs to be healthy and cannot carry infectious diseases such as breath and intestinal tract. The data access amount on the housekeeping service platform is very large, and the examination and verification processing of the physical examination reports of hundreds of thousands of people is very heavy work sometimes; in addition, the review of the physical examination report requires professional medical knowledge and has high requirements on the positions of auditors, so that a method and a system capable of automatically auditing the physical examination result are urgently required to be developed.
Disclosure of Invention
In view of the above, the present invention is directed to a method and system for automatically auditing physical examination results, an electronic device and a storage medium, so as to at least partially solve at least one of the above technical problems.
In order to achieve the above object, as a first aspect of the present invention, there is provided a method for automatically reviewing a physical examination result, comprising the steps of:
inputting physical examination data to be examined;
analyzing physical examination data to be examined;
and the system outputs an audit conclusion based on the analysis result.
As a second aspect of the present invention, there is also provided an automatic audit system of physical examination results, comprising:
the input module is used for inputting physical examination data to be examined;
the data analysis module is used for analyzing the physical examination data to be examined, which is input by the input module;
and the judging module is used for outputting an audit conclusion based on the analysis result obtained by the data analysis module.
As a third aspect of the present invention, there is also provided an electronic device comprising a processor and a memory, the memory storing a computer executable program, the processor executing the method for automatic review of physical examination results as described above when the computer executable program is executed by the processor.
As a fourth aspect of the present invention, there is also provided a computer-readable medium storing a computer-executable program which, when executed, implements the automatic auditing method for physical examination results as described above.
Based on the technical scheme, compared with the prior art, the method and the system for automatically auditing the physical examination results, the electronic equipment and the storage medium have at least one of the following beneficial effects:
according to the invention, through technologies such as image character recognition, mode recognition, text processing and the like, corresponding physical examination results can be automatically analyzed from data such as characters, images and the like of the physical examination results, the degree of automation is high, and a large amount of manpower and material resources can be saved;
according to the invention, through specific image recognition, the objectivity and accuracy of recognition can be improved by introducing a neural network model, and the expandability is good;
the algorithm program of the invention is simple, can be transplanted to various application platforms, and has wide application range;
the scheme of the invention can replace physical examination report auditors needing professional medical care knowledge, can reduce the recruitment difficulty of the auditors, and meanwhile, the robot replacement person can give out evaluation results more professionally and justly and is finally responsible for the health of the home administration workers (aunt) and the service of customers.
Drawings
Figure 1 is a block flow diagram of a method for automated review of physical examination results of the present invention;
FIG. 2 is a schematic diagram of the automatic examination system for physical examination results of the present invention;
FIG. 3 is a schematic diagram of the electronic device of the present invention;
FIG. 4 is a schematic diagram of a computer readable medium of the present invention.
Detailed Description
In describing particular embodiments, specific details of structures, properties, effects, or other features are set forth in order to provide a thorough understanding of the embodiments by one skilled in the art. However, it is not excluded that one skilled in the art may, in certain cases, practice the present invention in a manner that does not include the structures, properties, effects or other features described above.
The flow chart in the drawings is only an exemplary flow demonstration, and does not represent that all the contents, operations and steps in the flow chart are necessarily included in the scheme of the invention, nor does it represent that the execution is necessarily performed in the order shown in the drawings. For example, operations/steps in the flowcharts may be divided, operations/steps may be combined or partially combined, and the like, and the execution sequence shown in the flowcharts may be changed according to actual situations without departing from the gist of the present invention.
The block diagrams in the figures generally represent functional entities and do not necessarily correspond to physically separate entities. I.e. these functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different network and/or processing unit devices and/or microcontroller devices.
The same reference numerals denote the same or similar elements, components, or parts throughout the drawings, and thus, a repetitive description thereof may be omitted hereinafter. It will also be understood that, although the various devices, elements, components or sections may be described herein using terms such as first, second, third, etc. to indicate a number, these devices, elements, components or sections should not be limited by these terms. That is, these phrases are used only to distinguish one from another. For example, a first device may also be referred to as a second device without departing from the spirit of the present invention. Moreover, the terms "and/or," "and/or" refer to all combinations that include any one or more of the listed items.
The invention is provided aiming at the technical problem that a large number of physical examination reports need to be reviewed by the current household service platform, and can not only simply evaluate various numerical indexes in the physical examination reports, but also simply identify picture data such as electrocardiograms, color ultrasonography and the like generated in some physical examination processes, thereby avoiding the household practitioners from making false in the physical examination reports.
Specifically, as shown in fig. 1, the present invention provides an automatic examination method for physical examination results, which specifically includes the following steps:
inputting physical examination data to be examined;
analyzing physical examination data to be examined;
and the system outputs an audit conclusion based on the analysis result.
The physical examination data comprises paper physical examination report image data, digitalized numerical data of various physical examination items and/or image data output by instrument detection and the like. The image data detected and output by the instrument mainly refers to images printed and output by detection equipment such as an electrocardiogram, a CT image, an X-ray image, a B-ultrasonic image and the like.
The physical examination data is, for example, images photographed or scanned are actively uploaded by the client, or the physical examination data is retrieved through a communication interface with a physical examination unit, or the physical examination data is uploaded through scanning of paper physical examination reports handed by the client.
The step of analyzing the physical examination data to be audited specifically comprises the following steps:
extracting each detection index; and/or
Detecting image data identification on an instrument to judge whether a specific image exists; and/or
Disease information is analyzed from the physical examination findings.
Wherein, the step of extracting each detection index mainly comprises the following steps:
and identifying related physical examination items and physical examination results from the paper physical examination report image data through an OCR (optical character recognition), and storing the related physical examination items and the physical examination results in a corresponding database. The OCR recognition technology can adopt the existing OCR recognition technology, and can be used for assisting enhancement of partial detection items, such as partial detection indexes, such as the number of red blood cells, possibly appearing indexes, and being capable of distinguishing the partial detection indexes when the OCR recognition is needed; furthermore, as some detection results are represented by medically specific symbols, it is also necessary that the system is sensitive to them and does not recognize them as completely unintelligible symbols due to errors.
Electronic data of relevant physical examination reports are acquired from a communication interface of the physical examination units, and after the electronic data are searched and matched, corresponding physical examination items are stored in corresponding databases. The search matching means that the physical examination items of each physical examination unit are different in name, the extended word stock is required to be used for searching, and the physical examination result is stored in the corresponding physical examination item after the corresponding search item is identified.
The method for identifying the instrument detection image data to judge whether the specific image exists mainly comprises the following steps:
the type of the instrumental detection image data is discriminated, for example, from an electrocardiogram, a CT image, and an X-ray image, or from a B-mode ultrasound image, and the instrumental detection image data is analyzed to analyze the corresponding body state. Because each image is relatively complicated to analyze and is a special subject, detailed analysis is not needed in the invention, and only certain special diseases, such as severe heart diseases, malignant tumors, tuberculosis and other diseases which limit the practice can be eliminated according to the recruitment requirement, and the expressions of the limited diseases on the image data detected by corresponding instruments are known, so that the invention can judge and eliminate whether a client has a certain specific disease only by developing a specific image identification method aiming at the specific disease.
The specific recognition method is usually implemented by training an artificial intelligence model, especially a neural network model, and may be implemented by using one or more of various pattern recognition algorithms, such as a K-NN algorithm, a bayesian method, a principal component analysis algorithm, a linear discriminant analysis algorithm, and a non-negative matrix factorization algorithm.
Wherein, the step of analyzing the disease information from the physical examination conclusion specifically comprises the following steps:
performing text processing on the retrieval conclusion, for example, performing word segmentation on the retrieval conclusion to stop words;
capturing keywords such as 'abnormal vision', 'no hearing impairment', 'type I diabetes', 'heart and lung abnormality', and 'slight fatty liver', and judging whether obvious on-site restricted diseases exist;
the results are stored in a database corresponding to the physical examination items.
The system specifically comprises the following steps of outputting an audit conclusion based on the analysis result:
judging whether the detection index falls into a threshold range or not based on the extracted detection index, and judging whether a certain detection item exceeds the standard or not and whether the certain detection item can be checked to pass or not; and/or
Judging whether diseases with certain practical limitations exist or not based on whether the specific images exist or not, and whether the diseases can be checked and passed or not;
and judging whether the examination is passed or not based on the existence of the disease information obtained by analysis.
As shown in fig. 2, the present invention also discloses an automatic auditing system for physical examination results, which specifically comprises:
the input module is used for inputting physical examination data to be examined;
the data analysis module is used for analyzing the physical examination data to be examined, which is input by the input module;
and the judging module is used for outputting an audit conclusion based on the analysis result obtained by the data analysis module.
The physical examination data comprises paper physical examination report image data, digitalized numerical data of various physical examination items and/or image data output by instrument detection and the like. The image data detected and output by the instrument mainly refers to images printed and output by detection equipment such as an electrocardiogram, a CT image, an X-ray image, a B-ultrasonic image and the like.
Such as a camera, scanner, network communication device, etc. The physical examination data is, for example, images photographed or scanned are actively uploaded by the client, or the physical examination data is retrieved through a communication interface with the physical examination unit, or the physical examination data is uploaded through scanning of a paper physical examination report handed by the client.
The step of analyzing the physical examination data to be audited by the data analysis module specifically comprises the following steps:
extracting each detection index; and/or
Detecting image data identification on an instrument to judge whether a specific image exists; and/or
Disease information is analyzed from the physical examination findings.
Wherein, the step of extracting each detection index mainly comprises the following steps:
and identifying related physical examination items and physical examination results from the paper physical examination report image data through an OCR (optical character recognition), and storing the related physical examination items and the physical examination results in a corresponding database. The OCR recognition technology can adopt the existing OCR recognition technology, and can be used for assisting enhancement of partial detection items, such as partial detection indexes, such as the number of red blood cells, possibly appearing indexes, and being capable of distinguishing the partial detection indexes when the OCR recognition is needed; furthermore, as some detection results are represented by medically specific symbols, it is also necessary that the system is sensitive to them and does not recognize them as completely unintelligible symbols due to errors.
Electronic data of relevant physical examination reports are acquired from a communication interface of the physical examination units, and after the electronic data are searched and matched, corresponding physical examination items are stored in corresponding databases. The search matching means that the physical examination items of each physical examination unit are different in name, the extended word stock is required to be used for searching, and the physical examination result is stored in the corresponding physical examination item after the corresponding search item is identified.
The method for identifying the instrument detection image data to judge whether the specific image exists mainly comprises the following steps:
the type of the instrumental detection image data is discriminated, for example, from an electrocardiogram, a CT image, and an X-ray image, or from a B-mode ultrasound image, and the instrumental detection image data is analyzed to analyze the corresponding body state. Because each image is relatively complicated to analyze and is a special subject, detailed analysis is not needed in the invention, and only certain special diseases, such as severe heart diseases, malignant tumors, tuberculosis and other diseases which limit the practice can be eliminated according to the recruitment requirement, and the expressions of the limited diseases on the image data detected by corresponding instruments are known, so that the invention can judge and eliminate whether a client has a certain specific disease only by developing a specific image identification method aiming at the specific disease.
Wherein, the step of analyzing the disease information from the physical examination conclusion specifically comprises the following steps:
performing text processing on the retrieval conclusion, for example, performing word segmentation on the retrieval conclusion to stop words;
capturing keywords such as 'abnormal vision', 'no hearing impairment', 'type I diabetes', 'heart and lung abnormality', and 'slight fatty liver', and judging whether obvious on-site restricted diseases exist;
the results are stored in a database corresponding to the physical examination items.
The step of outputting the audit conclusion by the judgment module based on the analysis result specifically comprises the following steps:
judging whether the detection index falls into a threshold range or not based on the extracted detection index, and judging whether a certain detection item exceeds the standard or not and whether the certain detection item can be checked to pass or not; and/or
Judging whether diseases with certain practical limitations exist or not based on whether the specific images exist or not, and whether the diseases can be checked and passed or not;
and judging whether the examination is passed or not based on the existence of the disease information obtained by analysis.
The invention also discloses an electronic device, fig. 3 is a schematic structural diagram of the electronic device of the invention, and as shown in fig. 3, the electronic device includes a processor and a memory, the memory is used for storing a computer executable program, and when the computer executable program is executed by the processor, the processor executes the automatic auditing method for physical examination results.
As shown in fig. 3, the electronic device is in the form of a general purpose computing device. The processor may be one or more and may work together. The invention also does not exclude that distributed processing is performed, i.e. the processors may be distributed over different physical devices. The electronic device of the present invention is not limited to a single entity, and may be a sum of a plurality of entity devices.
The memory stores a computer executable program, typically machine readable code. The computer executable program may be executed by the processor to enable an electronic device to perform the method of the invention, or at least some of the steps of the method.
The memory may include volatile memory, such as Random Access Memory (RAM) and/or cache memory, and may also be non-volatile memory, such as read-only memory (ROM).
Optionally, in this embodiment, the electronic device further includes an I/O interface, which is used for data exchange between the electronic device and an external device. The I/O interface may be a local bus representing one or more of several types of bus structures, including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, and/or a memory storage device using any of a variety of bus architectures.
It should be understood that the electronic device shown in fig. 3 is only one example of the present invention, and elements or components not shown in the above example may be further included in the electronic device of the present invention. For example, some electronic devices further include a display unit such as a display screen, and some electronic devices further include a human-computer interaction element such as a button, a keyboard, and the like. Electronic devices are considered to be covered by the present invention as long as the electronic devices are capable of executing a computer-readable program in a memory to implement the method of the present invention or at least a portion of the steps of the method.
Fig. 4 is a schematic diagram of the computer-readable medium of the present invention, and as shown in fig. 4, the computer-readable medium stores therein a computer-executable program, and when the computer-executable program is executed, the method for automatically auditing physical examination results according to the present invention is implemented. The computer readable storage medium may include a propagated data signal with readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A readable storage medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a readable storage medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Python, Java, C + +, C #, or the like, as well as conventional procedural programming languages, such as the C language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider).
From the above description of the embodiments, those skilled in the art will readily appreciate that the present invention can be implemented by hardware capable of executing a specific computer program, such as the system of the present invention, and an electronic processing unit, a server, a client, a mobile phone, a control unit, a processor, etc. included in the system, and the present invention can also be implemented by a vehicle including at least a part of the above system or components. The invention can also be implemented by computer software for performing the method of the invention, for example, by control software executed by a microprocessor, an electronic control unit, a client, a server, etc. of the locomotive side. It should be noted that the computer software for executing the method of the present invention is not limited to be executed by one or a specific hardware entity, but may also be implemented in a distributed manner by hardware entities without specific details, for example, some method steps executed by a computer program may be executed at the locomotive end, and another part may be executed in a mobile terminal or an intelligent helmet, etc. For computer software, the software product may be stored in a computer readable storage medium (which may be a CD-ROM, a usb disk, a removable hard disk, etc.) or may be distributed over a network, as long as it enables the electronic device to perform the method according to the present invention.
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail below with reference to the accompanying drawings in combination with specific embodiments. It should be noted that the following examples are only for illustrating the present invention and are not intended to limit the present invention.
Example 1
This embodiment 1 discloses an automatic audit system of physical examination results, including:
the input module is used for inputting physical examination data to be examined; the input module is a scanner connected with the server and used for scanning and inputting the paper physical examination report into the system.
The data analysis module is used for analyzing the physical examination data to be examined, which is input by the input module;
and the judging module is used for outputting an audit conclusion based on the analysis result obtained by the data analysis module.
The data analysis module and the judgment module are both positioned on the server. The data analysis module comprises a character OCR recognition module, a character processing module, an instrument detection image recognition module and the like, and is respectively used for capturing character information from pictures, capturing key information from a large-section physical examination conclusion and recognizing a specific image from an instrument detection image. Therefore, after the paper physical examination report of the client is scanned and uploaded, the system can accurately identify and judge whether the client has diseases which cannot be used for home service or not and provide a conclusion of whether the physical examination passes or not no matter whether the physical examination report is a single digital detection value, or an instrument detection image such as an electrocardiogram is attached, or a large-section analytical character at the tail of the report.
Example 2
The general framework is the same as that of embodiment 1, except that the input module further comprises a communication device connected with the physical examination unit network. The communication equipment can extract the electronic physical examination report of the corresponding party from the external inquiry database of the physical examination unit and return the report for analysis.
Example 3
The general framework is the same as that of embodiment 2, and the only difference is that the identification neural network model in the instrument detection image identification module can be expanded, for example, when a physical examination unit newly introduces a color B-type ultrasound, the platform of the company can firstly train the neural network model for identifying the specific image which may appear in a specific disease in the color B-type ultrasound through offline, and then load the neural network model into the corresponding module, so as to further identify the new device, namely the detection result of the color B-type ultrasound.
While the foregoing embodiments have described the objects, aspects and advantages of the present invention in further detail, it should be understood that the present invention is not inherently related to any particular computer, virtual machine or electronic device, and various general-purpose machines may be used to implement the present invention. The invention is not limited to the specific embodiments, but rather should be construed as broadly within the spirit and scope of the invention as defined in the appended claims.
Claims (10)
1. An automatic examination method for physical examination results is characterized by comprising the following steps:
inputting physical examination data to be examined;
analyzing physical examination data to be examined;
and the system outputs an audit conclusion based on the analysis result.
2. The method of claim 1,
the physical examination data comprises paper physical examination report image data, digitalized numerical data of various physical examination items and/or image data output by instrument detection;
the image data output by the instrument detection comprises an electrocardiogram, a CT image, an X-ray image and/or a B-ultrasonic image;
the physical examination data is uploaded by the client actively through a photographed or scanned image, or retrieved through a communication interface with a physical examination unit, or uploaded through scanning of a paper physical examination report handed by the client.
3. The method of claim 1,
the step of analyzing the physical examination data to be audited comprises the following steps:
extracting each detection index; and/or
Detecting image data identification on an instrument to judge whether a specific image exists; and/or
Analyzing the disease information from the physical examination conclusion;
the step of extracting each detection index comprises the following steps:
identifying related physical examination items and physical examination results from the paper physical examination report image data through an OCR (optical character recognition), and storing the related physical examination items and the physical examination results in a corresponding database; preferably, the OCR recognition technology adopts an auxiliary enhanced OCR recognition technology, and standard-conforming enhancement is performed on the accuracy of partial symbols and characters; and/or
Electronic data of relevant physical examination reports are acquired from a communication interface of the physical examination units, and after retrieval and matching are carried out, corresponding physical examination items are stored in corresponding databases.
The step of detecting image data identification for the instrument to determine whether a specific image is present includes:
identifying the type of the instrument detection image data, analyzing the instrument detection image data, and analyzing the corresponding body state; the process of analyzing the instrument detection image data comprises a step of developing a specific image aiming at a specific disease, so that whether a client has a certain specific disease or not can be judged and eliminated.
4. The method of claim 3,
the step of analyzing disease information from the physical examination findings comprises:
performing text processing on the retrieval conclusion, including word segmentation and word deactivation;
capturing keywords in the images, and judging whether obvious employment-restricted diseases exist or not;
storing the results in a database corresponding to the physical examination items;
the step of outputting the audit conclusion based on the analysis result comprises the following steps:
judging whether the detection index falls into a threshold range or not based on the extracted detection index, and judging whether a certain detection item exceeds the standard or not and whether the detection item can be checked to pass; and/or
Judging whether a disease with certain practical limitation exists or not based on whether the specific image exists or not, and whether the disease can be checked to pass or not;
and judging whether the examination is passed or not based on the existence of the disease information obtained by analysis.
5. An automatic physical examination result auditing system, comprising:
the input module is used for inputting physical examination data to be examined;
the data analysis module is used for analyzing the physical examination data to be examined, which is input by the input module;
and the judging module is used for outputting an audit conclusion based on the analysis result obtained by the data analysis module.
6. An automatic audit system of physical examination results according to claim 5,
the physical examination data comprises paper physical examination report image data, digitalized numerical data of various physical examination items and/or image data output by instrument detection;
the image data output by the instrument detection comprises an electrocardiogram, a CT image, an X-ray image and/or a B-ultrasonic image;
the physical examination data is actively uploaded by the client through a photographed or scanned image, or retrieved through a communication interface with a physical examination unit, or scanned and uploaded through a paper physical examination report submitted by the client.
7. An automatic audit system of physical examination results according to claim 5,
the step of analyzing the physical examination data to be examined by the data analysis module comprises the following steps:
extracting each detection index; and/or
Detecting image data identification on an instrument to judge whether a specific image exists; and/or
Analyzing the disease information from the physical examination conclusion;
the step of extracting each detection index comprises the following steps:
identifying related physical examination items and physical examination results from the paper physical examination report image data through an OCR (optical character recognition), and storing the related physical examination items and the physical examination results in a corresponding database; the OCR recognition technology adopts an auxiliary enhanced OCR technology to enhance the recognition of partial symbols or characters; and/or
Acquiring electronic data of related physical examination reports from a communication interface of a physical examination unit, and storing corresponding physical examination items into a corresponding database after retrieval and matching;
the step of detecting image data identification for the instrument to determine whether a specific image is present includes:
identifying the type of the instrument detection image data, analyzing the instrument detection image data, and analyzing the corresponding body state; in particular, it is necessary to develop a method for identifying a specific image for a specific disease so as to be able to determine and exclude whether a client has a specific disease.
8. An automatic audit system of physical examination results according to claim 5,
the step of analyzing disease information from the physical examination findings comprises:
performing text processing on the retrieval conclusion, and performing word segmentation and word stop on the retrieval conclusion;
capturing keywords in the images, and judging whether obvious employment-restricted diseases exist or not;
storing the results in a database corresponding to the physical examination items;
the step of outputting the audit conclusion by the judgment module based on the analysis result comprises the following steps:
judging whether the detection index falls into a threshold range or not based on the extracted detection index, and judging whether a certain detection item exceeds the standard or not and whether the detection item can be checked to pass; and/or
Judging whether a disease with certain practical limitation exists or not based on whether the specific image exists or not, and whether the disease can be checked to pass or not;
and judging whether the examination is passed or not based on the existence of the disease information obtained by analysis.
9. An electronic device comprising a processor and a memory, the memory for storing a computer-executable program, characterized in that:
when the computer program is executed by the processor, the processor performs the automatic review method of the physical examination results of any one of claims 1-4.
10. A computer-readable medium storing a computer-executable program, wherein the computer-executable program, when executed, implements a method for automated review of physical examination results as recited in any one of claims 1-4.
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