Medical post-processing information calling system, calling method and medical examination system

Abstract

The invention provides a calling system and a calling method for medical post-processing information and a medical examination system, and the calling system comprises a first server which is used for obtaining a medical image structured report from a medical image post-processing workstation, analyzing the medical image structured report to obtain analysis data, and storing the analysis data, the analysis data at least comprises detection data and patient numbers; the first client is used for acquiring an interface from the image information system, acquiring a corresponding target patient number from the interface, and sending the target patient number corresponding to the interface to the first server; and the first client is used for generating a post-processing report according to the target analysis data, the risk degree information and a preset report template. According to the invention, the completeness of the post-processing workflow can be improved.

Description

Technical Field

[0001] The present invention relates to the field of medical information processing, and in particular to a calling system and method for medical post-processing information and a medical examination system. Background Art

[0002] In the medical image post-processing workstation, for the post-processing results of the computed tomography images and magnetic resonance imaging images of the patient's examination, the technician can open the client of the medical image post-processing workstation to obtain the post-processing results of each examination. However, the detection data in the post-processing results are only the detection values ​​of the scanning equipment. The existing technology cannot analyze the detection data in the post-processing results, that is, it cannot intuitively reflect the patient's health status. In addition, there is no way to send the post-processing results directly to the imaging information system (RIS, Radiology Information System), and the integrity of the processing flow of the post-processing results needs to be improved. Therefore, there is room for improvement. Summary of the invention

[0003] In view of the above-mentioned shortcomings of the prior art, an object of the present invention is to provide a medical post-processing information calling system, a calling method and a medical examination system, which are used to improve the relative lack of integrity of the post-processing workflow in the medical image post-processing workstation of the prior art.

[0004] To achieve the above-mentioned and other related purposes, the present invention provides a medical post-processing information calling system, the system comprising:

[0005] A system for calling medical post-processing information, the system comprising:

[0006] A first server end is connected to a medical image post-processing workstation, and is used to obtain a medical image structured report from the medical image post-processing workstation, parse the medical image structured report to obtain parsed data, and store the parsed data, wherein the parsed data at least includes test data and a patient number;

[0007] A first client terminal is connected to the imaging information system, and is used to obtain an interface on the imaging information system, obtain a corresponding target patient number from the interface, and send the target patient number to the first server terminal;

[0008] The first server is used to search for target parsed data matching the target patient number based on the target patient number sent by the first client, compare the detection data in the target parsed data with preset threshold data, generate risk level information based on the comparison result, and send the risk level information to the first client;

[0009] The first client is used to generate a post-processing report according to the target analysis data, the risk level information and a preset report template.

[0010] In one embodiment of the present invention, the first server includes:

[0011] A receiving module, connected to a medical image post-processing workstation, for obtaining a medical image structured report from the medical image post-processing workstation;

[0012] a conversion module connected to the receiving module, and used for performing format conversion on the medical image structured report to obtain an extensible markup language format file, wherein the extensible markup language format file includes a plurality of node information, each of which corresponds to a certain test data or patient number of a patient;

[0013] An extraction module, connected to the conversion module, for extracting corresponding node information in the extensible markup language format file according to preset node labels to obtain corresponding parsed data;

[0014] The comparison module is used to search the target parsed data that matches the target patient number in the parsed data, compare the detection data in the target parsed data with the preset threshold data, and generate risk level information based on the comparison result.

[0015] In one embodiment of the present invention, the first server further includes:

[0016] A storage module connected to the extraction module, used to store the parsed data extracted by the extraction module, the comparison module is used to search the storage module for target parsed data matching the target patient number, and transmit the risk level information corresponding to the target parsed data to the sending module;

[0017] A sending module is connected to the storage module and is used to send the risk level information to the first client.

[0018] In one embodiment of the present invention, the first client includes:

[0019] an acquisition module, connected to the image information system, for acquiring an interface on the image information system, acquiring a corresponding target patient number by performing image recognition on the interface, and sending the target patient number to the first service end;

[0020] A report generation module, used for receiving the risk level information and generating a post-processing report according to the target analysis data, the risk level information and a preset report template;

[0021] A display module is used to display the post-processing report.

[0022] In one embodiment of the present invention, the acquisition module includes:

[0023] A capture submodule is connected to the image information system and is used to capture the interface on the image information system and capture images of the interface according to the identification position set to obtain a plurality of captured images, wherein the identification position set represents a set of positions corresponding to patient numbers on different image information system interfaces;

[0024] The identification submodule is connected to the capture submodule and is used to scan and identify a number of the captured images to obtain corresponding patient numbers.

[0025] In one embodiment of the present invention, the detection data in the target analysis data includes a lesion location and a corresponding lesion value, and the comparison module is used to compare the lesion value corresponding to the lesion location with a preset threshold interval, and generate risk level information based on the threshold interval in which the lesion value corresponding to the lesion location is located.

[0026] In one embodiment of the present invention, the display module is further used to transmit the post-processing report to the image information system.

[0027] In one embodiment of the present invention, the display module starts the medical image post-processing workstation to process corresponding data based on the lesion value by calling a component.

[0028] The present invention also proposes a method for calling medical post-processing information, the method comprising:

[0029] Sending the medical image structured report on the medical image post-processing workstation to the first server, parsing the medical image structured report on the first server to obtain parsed data, and storing the parsed data, wherein the parsed data at least includes the detection data and the patient number;

[0030] The first client obtains an interface on the image information system, and on the first client, uses the

[0031] The interface obtains the corresponding target patient number, and sends the target patient number to the first server;

[0032] On the first server, based on the target patient number sent by the first client, searching for target parsed data matching the target patient number, comparing the detection data in the target parsed data with preset threshold data, generating risk level information based on the comparison result, and sending the risk level information to the first client;

[0033] On the first client, a post-processing report is generated according to the target analysis data, the risk level information and a preset report template.

[0034] The present invention also provides a medical examination system, the system comprising:

[0035] A medical image post-processing workstation connected to the scanning device, used to receive the medical image transmitted by the scanning device, and post-process the medical image to obtain a medical image structured report;

[0036] A first server end is connected to the medical image post-processing workstation, and is used to obtain a medical image structured report from the medical image post-processing workstation, parse the medical image structured report to obtain parsed data, and store the parsed data, wherein the parsed data at least includes test data and a patient number;

[0037] The imaging information system has an interface with patient number information;

[0038] A first client terminal is connected to the imaging information system, and is used to obtain an interface on the imaging information system, obtain a corresponding target patient number from the interface, and send the target patient number to the first server terminal;

[0039] The first server is used to search for target parsed data matching the target patient number based on the target patient number sent by the first client, compare the detection data in the target parsed data with preset threshold data, generate risk level information based on the comparison result, and send the risk level information to the first client;

[0040] The first client is used to generate a post-processing report according to the target analysis data, the risk level information and a preset report template.

[0041] As described above, the medical post-processing information calling system, calling method and medical examination system of the present invention can parse the medical image structured report to obtain the target parsing data, compare the detection data in the target parsing data with the preset threshold data, and generate risk level information based on the comparison result. The detection data is scanned by a scanning device and obtained by post-processing through a medical image post-processing workstation. The detection data itself does not reflect the actual medical information, that is, the detection data cannot directly reflect the patient's health status. In the post-processing report of the present invention, the risk level information generated by the comparison result reflects the intermediate information of the patient's health status, thereby improving the integrity of the post-processing workflow. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1This is a structural block diagram of a medical examination system provided in one embodiment of the present invention.

[0043] Figure 2 A structural block diagram of a system for calling medical post-processing information provided by an embodiment of the present invention.

[0044] Figure 3 A schematic diagram of the steps of a method for calling medical post-processing information provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0045] The following describes the embodiments of the present invention by specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and the details in this specification can also be modified or changed in various ways based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the following embodiments and features in the embodiments can be combined with each other without conflict.

[0046] It should be noted that the illustrations provided in the following embodiments are only schematic illustrations of the basic concept of the present invention, and thus the drawings only show components related to the present invention rather than being drawn according to the number, shape and size of components in actual implementation. In actual implementation, the type, quantity and proportion of each component may be changed arbitrarily, and the component layout may also be more complicated.

[0047] In the following description, numerous details are discussed to provide a more thorough explanation of the embodiments of the present invention. However, it is obvious to those skilled in the art that the embodiments of the present invention can be implemented without these specific details. In other embodiments, well-known structures and devices are shown in the form of block diagrams rather than in detail to avoid making the embodiments of the present invention difficult to understand.

[0048] See also Figure 1 and Figure 2 The present invention proposes a medical post-processing information calling system, calling method and medical examination system, which can be applied in the field of medical information processing, for example, in the post-processing results of computed tomography (CT) images and magnetic resonance imaging (MRI) images. The present invention can generate a post-processing report based on a medical image structured report (SR), and can add risk level information to the post-processing report to improve the integrity of the post-processing workflow.

[0049] See also Figure 1 and Figure 2In one embodiment of the present invention, a medical post-processing information calling system is proposed, which may include a first server 40 and a first client 30.

[0050] In one embodiment of the present invention, the first server 40 is connected to a medical image post-processing workstation, and the first server 40 obtains a medical image structured report (SR) from the medical image post-processing workstation. The medical image post-processing workstation may be a syngo workstation of Siemens Medical, and the medical image post-processing workstation receives the medical image transmitted by the scanning device 70, and the medical image post-processing workstation performs post-processing on the medical image to obtain a corresponding structured report. Post-processing of medical images refers to further processing of the image through various algorithms and techniques after the original medical image is acquired to improve the image quality, extract useful information or generate more intuitive visualization results. The scanning device 70 may be a computed tomography (CT) device, a magnetic resonance imaging (MRI) device or an ultrasonic device.

[0051] Specifically, the first server 40 analyzes the medical image structured report to obtain analysis data. The first server 40 stores the analysis data, which at least includes the detection data and the patient number.

[0052] For example, the patient ID is used to indicate the patient's identity information. Of course, in this embodiment, the accession number can also be used to indicate the examination number. The identity information can also include name, age, gender, examination time and other information.

[0053] For example, the detection data may include the location of the lesion and the corresponding lesion value, and the lesion location may be, for example, the lung, pleura, heart, aorta, etc. The lesion value may refer to the calcium integral value, coronary analysis value and / or vascular analysis value corresponding to the lesion location. The higher the calcium integral value, the more serious the degree of coronary artery calcification and the higher the risk of cardiovascular disease. The coronary analysis value can be expressed by the percentage of coronary artery stenosis, and the vascular analysis value can be expressed by the percentage of vascular stenosis.

[0054] In one embodiment of the present invention, the first client 30 is connected to the imaging information system 20, and the first client 30 obtains an interface from the imaging information system 20, and the interface may include an examination interface, a report interface, etc. The first client 30 obtains the corresponding target patient number from the interface, and the first client 30 sends the target patient number corresponding to the interface to the first server 40.

[0055] Specifically, the image information system 20 is a system used by the hospital's radiology, ultrasound, endoscopy, and pathology departments, involving X-ray detection, nuclear magnetic resonance detection, and computed tomography (CT) detection, etc. The image information system 20 may include a radiology information management system (RIS) and a medical image archiving and communication system (PACS). The image information system 20 has an interface with patient number information, but the interface does not include post-processing information related to the medical image structured report.

[0056] In one embodiment of the present invention, the first server 40 is used to search for target resolution data that matches the target patient number based on the target patient number sent by the first client 30. The first server 40 compares the detection data in the target resolution data with preset threshold data, generates risk level information based on the comparison result, and sends the risk level information to the first client 30.

[0057] The first client 30 is used to receive the risk level information sent by the first server 40, and generate a post-processing report according to the target parsing data, the risk level information and the preset report template. For example, the first client 30 fills the test data, the patient number in the target parsing data, and the risk level information corresponding to the test data in the target parsing data into the report template according to the preset position relationship to obtain the post-processing report.

[0058] Specifically, the post-processing report may display the patient number, test data, and risk level information. Different lesion locations in the test data may be displayed in different areas of the post-processing report, and the lesion locations are associated with the corresponding lesion values. Different lesion locations and corresponding lesion values ​​are displayed in different entries on the post-processing report.

[0059] Since the lesion value in the test data in the post-processing report does not reflect the actual medical information, that is, the lesion value cannot directly reflect the patient's health status, the doctor still needs to obtain the patient's health status based on relevant materials such as clinical guidelines when seeing the lesion value, and then provide effective treatment suggestions for the patient. In this embodiment, by adding corresponding risk level information to the test data, the doctor can understand the intermediate information of the patient's health status when seeing the test data, so as to provide effective treatment suggestions for the patient more efficiently, and improve the integrity of the post-processing workflow.

[0060] See also Figure 1 and Figure 2In one embodiment of the present invention, the first server 40 may include a receiving module 41, a conversion module 42, an extraction module 43 and a comparison module 45. The receiving module 41 is connected to the medical image post-processing workstation, the conversion module 42 is connected to the extraction module 41, and the extraction module 43 is connected to the conversion module 42.

[0061] Specifically, the receiving module 41 is used to obtain a medical image structured report from a medical image post-processing workstation. The medical image structured report is a DICOM file. That is, the medical image structured report has a specific typesetting format requirement, and the detection data in the medical image structured report cannot be edited, which may result in the inability to directly transmit the detection data in the medical image structured report to the image information system 20.

[0062] Specifically, the conversion module 42 is used to parse the medical image structured report to obtain an Extensible Markup Language (XML) file. The Extensible Markup Language file includes a plurality of node information, each of which may correspond to a certain test data or patient number of a patient. By parsing the medical image structured report to obtain an Extensible Markup Language file, the test data and patient number information in the medical image structured report can be extracted.

[0063] Specifically, the extraction module 43 is used to extract corresponding node information in the extensible markup language format file according to preset node labels and child-parent node relationships to obtain corresponding parsed data.

[0064] Specifically, the comparison module 45 is used to search for target parsed data that matches the target patient number in the parsed data, compare the detection data in the target parsed data with the preset threshold data, and obtain risk level information based on the comparison result.

[0065] See also Figure 1 and Figure 2 In one embodiment of the present invention, the first server 40 may include a storage module 44 and a sending module 46. The storage module 44 is connected to the extraction module 43, the comparison module 45 is connected to the storage module 44, and the sending module 46 is connected to the comparison module 45.

[0066] Specifically, the storage module 44 is used to store the parsed data extracted by the extraction module 43, the comparison module 45 is used to search the storage module 44 for target parsed data that matches the target patient number, and the comparison module 45 transmits the risk level information generated by the target parsed data to the sending module 46. The sending module 46 is used to send the risk level information to the first client 30.

[0067] See also Figure 1 and Figure 2 In one embodiment of the present invention, the comparison module 45 is used to search the storage module 44 for target parsed data that matches the target patient number, and the detection data in the target parsed data includes the lesion location and the corresponding lesion value.

[0068] The comparison module 45 is used to compare the lesion value corresponding to the lesion position with a preset threshold interval, and generate risk level information according to the threshold interval in which the lesion value corresponding to the lesion position is located.

[0069] Specifically, the lesion location is, for example, the lung, pleura, heart, aorta, etc. The lesion value may refer to the calcium integral value, coronary analysis value and / or vascular analysis value corresponding to the lesion location. The higher the calcium integral value, the more serious the degree of coronary artery calcification and the higher the risk of cardiovascular disease. The coronary analysis value can be expressed by the percentage of coronary artery stenosis, and the vascular analysis value can be expressed by the percentage of vascular stenosis.

[0070] Since in the post-processing report, the lesion value in the test data itself does not reflect the actual medical information, that is, the lesion value cannot directly reflect the patient's health status, this embodiment adds corresponding risk level information to the test data, so that the doctor can understand the intermediate information of the patient's health status when seeing the test data, thereby more efficiently providing effective treatment suggestions to the patient and improving the integrity of the post-processing workflow.

[0071] See also Figure 1 and Figure 2 In one embodiment of the present invention, the lesion value corresponding to the lesion position includes a calcium integral value, a coronary analysis value and / or a vascular analysis value. The comparison module 45 is used to compare the calcium integral value, the coronary analysis value and / or the vascular analysis value corresponding to the lesion position with the corresponding threshold intervals, and generate risk level information corresponding to the calcium integral value, the coronary analysis value and / or the vascular analysis value based on the threshold intervals in which the calcium integral value, the coronary analysis value and / or the vascular analysis value are located.

[0072] The comparison module 45 is also used to fill in the calcium integral value and the corresponding risk level information, the coronary analysis value and the corresponding risk level information and / or the blood vessel analysis value and the corresponding risk level information into different report templates respectively.

[0073] See also Figure 1 and Figure 2In one embodiment of the present invention, the first client 30 may include an acquisition module 300, a report generation module 33 and a display module 34. The acquisition module 300 is connected to the image information system 20 and is used to acquire the interface from the image information system 20. The corresponding target patient number can be obtained by inputting the corresponding target patient number on the interface or by performing image recognition on the interface, and the acquisition module 300 sends the target patient number corresponding to the interface to the first server 40.

[0074] Specifically, for the patient number on the interface, the acquisition module 300 may provide an input box, and the target patient number may be input in the input box by keyboard input, mouse input, or voice input, so that the acquisition module 300 acquires the target patient number. Alternatively, for the target patient number on the interface, since the acquisition module 300 has acquired the picture of the interface, the acquisition module 300 may also acquire the corresponding target patient number by performing image recognition on the interface.

[0075] Specifically, the report generation module 33 is connected to the display module 34. The report generation module 33 is used to generate a post-processing report according to the target analysis data, risk level information and a preset report template. The display module 34 is used to display the post-processing report.

[0076] See also Figure 1 and Figure 2 In one embodiment of the present invention, the acquisition module 300 may include a grabbing submodule 31 and an identification submodule 32 , the grabbing submodule 31 is connected to the image information system 20 , and the identification submodule 32 is connected to the grabbing submodule 31 .

[0077] Specifically, the capture submodule 31 is used to capture the interface (including the examination interface, the report interface, etc.) from the image information system 20, and perform image processing on the interface according to the recognition position set to obtain an image that can be optically recognized (OCR, Optical Character Recognition), which is recorded as a number of captured images. Among them, the recognition position set represents the position set corresponding to the patient number on different image information system interfaces. The recognition submodule 32 is used to scan and recognize the number of captured images to obtain the corresponding target patient number.

[0078] See also Figure 1 and Figure 2 In one embodiment of the present invention, the display module 34 includes a calling component, the medical image post-processing workstation includes a second server 50 and a second client 60, the second client 60 is connected to the second server 50, and the display module 34 is connected to the second client 60. The display module can start the second client 60 according to different applications (calcium integration, coronary analysis, vascular analysis, etc.) by calling the component, and connect to the second server 50 to process the corresponding data.

[0079] Specifically, in this embodiment, the display module 34 can be associated with the second server 50 and the second client 60, so that the display module 34 can call the calcium score application, start the second client 60, and connect to the second server 50 to process the corresponding data of the calcium score. Similarly, the display module 34 can call the coronary analysis application, start the second client 60, and connect to the second server 50 to process the corresponding data of the coronary analysis. The display module 34 can call the blood vessel analysis application, start the second client 60, and connect to the second server 50 to process the corresponding data of the blood vessel analysis.

[0080] See also Figure 1 and Figure 2 In one embodiment of the present invention, the display module 34 is also used to transmit the post-processing report to the imaging information system 20. For example, the post-processing report is copied on the display module 34 and then the post-processing report can be pasted into the imaging information system 20.

[0081] See also Figure 3 In one embodiment of the present invention, a method for calling medical post-processing information may be proposed, and the method may include the following steps.

[0082] Step S10: Send the medical image structured report on the medical image post-processing workstation to the first server. On the first server, parse the medical image structured report to obtain parsed data, and store the parsed data. The parsed data at least includes the detection data and the patient number.

[0083] Step S20: The first client obtains an interface on the imaging information system, obtains the corresponding target patient number on the first client using the imaging information system interface, and sends the target patient number to the first server.

[0084] Step S30: On the first server, based on the target patient number sent by the first client, search for target analysis data that matches the target patient number, compare the detection data in the target analysis data with the preset threshold data, generate risk level information based on the comparison result, and send the risk level information to the first client.

[0085] Step S40: On the first client, a post-processing report is generated according to the target analysis data, risk level information and a preset report template.

[0086] See also Figure 1 and Figure 2In one embodiment of the present invention, a medical examination system may be proposed, which may include an imaging information system 20, a first client 30, a first server 40, and a medical imaging post-processing workstation, wherein the medical imaging post-processing workstation includes a second server 50 and a second client 60.

[0087] Specifically, the doctor terminal 10 may be a computer terminal operated by a doctor, and is used to deploy and use the imaging information system 20. The scanning device 70 is used to scan the patient's body to obtain a medical image.

[0088] The second service end 50 of the medical image post-processing workstation is connected to the scanning device 70, and is used to receive the medical image transmitted by the scanning device 70, and post-process the medical image to obtain a medical image structured report.

[0089] The first server end 40 is connected to the second server end 50 of the medical image post-processing workstation, and is used to obtain a medical image structured report from the second server end 50 of the medical image post-processing workstation, and parse the medical image structured report to obtain parsed data, and store the parsed data, wherein the parsed data at least includes detection data and patient number.

[0090] The image information system 20 has an interface with patient number information.

[0091] The first client 30 is connected to the imaging information system 20 , and is used to obtain an interface from the imaging information system 20 , obtain a corresponding target patient number from the interface, and send the target patient number corresponding to the interface to the first server 40 .

[0092] The first server 40 is used to search for target analysis data matching the target patient number based on the target patient number sent by the first client 30, and compare the detection data in the target analysis data with preset threshold data, generate risk level information based on the comparison result, and send the risk level information to the first client 30.

[0093] The first client 30 is used to generate a post-processing report according to the target analysis data, risk level information and a preset report template.

[0094] The above-mentioned integrated unit implemented in the form of a software function module can be stored in a computer-readable storage medium, and the computer-readable storage medium can be non-volatile or volatile. The above-mentioned software function module is stored in a storage medium, including a number of instructions for enabling a computer device (which can be a personal computer, a computer device, or a network device, etc.) or a processor to perform part of the functions of the medical post-processing information calling system of each embodiment of the present application.

[0095] In summary, the medical post-processing information calling system, calling method and medical examination system disclosed in the present invention can parse the medical image structured report to obtain target parsing data, compare the detection data in the target parsing data with the preset threshold data, and generate risk level information based on the comparison result. In the post-processing report, the present invention reflects the intermediate information of the patient's health status through the risk level information generated by the comparison result, thereby improving the integrity of the post-processing workflow. Therefore, the present invention effectively overcomes the various shortcomings in the prior art and has a high industrial utilization value.

[0096] The above embodiments are merely illustrative of the principles and effects of the present invention, and are not intended to limit the present invention. Anyone familiar with the art may modify or alter the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or alterations made by a person of ordinary skill in the art without departing from the spirit and technical concept disclosed by the present invention shall still be covered by the claims of the present invention.

Claims

1. A medical post-processing information calling system, characterized in that: The system comprises: A first server end is connected to a medical image post-processing workstation, and is used to obtain a medical image structured report from the medical image post-processing workstation, parse the medical image structured report to obtain parsed data, and store the parsed data, wherein the parsed data at least includes test data and a patient number; A first client terminal is connected to the imaging information system, and is used to obtain an interface on the imaging information system, obtain a corresponding target patient number from the interface, and send the target patient number to the first server terminal; The first server is used to search for target parsed data matching the target patient number based on the target patient number sent by the first client, compare the detection data in the target parsed data with preset threshold data, generate risk level information based on the comparison result, and send the risk level information to the first client; The first client is used to generate a post-processing report according to the target analysis data, the risk level information and a preset report template.

2. The medical post-processing information calling system according to claim 1, characterized in that: The first server includes: A receiving module, connected to a medical image post-processing workstation, for obtaining a medical image structured report from the medical image post-processing workstation; a conversion module connected to the receiving module, and used for performing format conversion on the medical image structured report to obtain an extensible markup language format file, wherein the extensible markup language format file includes a plurality of node information, each of which corresponds to a certain test data or patient number of a patient; An extraction module, connected to the conversion module, for extracting corresponding node information in the extensible markup language format file according to preset node labels to obtain corresponding parsed data; The comparison module is used to search the target parsed data that matches the target patient number in the parsed data, compare the detection data in the target parsed data with the preset threshold data, and generate risk level information based on the comparison result.

3. The medical post-processing information calling system according to claim 2, characterized in that: The first server also includes: A storage module connected to the extraction module, used to store the parsed data extracted by the extraction module, the comparison module is used to search the storage module for target parsed data matching the target patient number, and transmit the risk level information corresponding to the target parsed data to the sending module; A sending module is connected to the storage module and is used to send the risk level information to the first client.

4. The medical post-processing information calling system according to claim 1, characterized in that: The first client comprises: an acquisition module, connected to the image information system, for acquiring an interface on the image information system, acquiring a corresponding target patient number by performing image recognition on the interface, and sending the target patient number to the first service end; A report generation module, used for receiving the risk level information and generating a post-processing report according to the target analysis data, the risk level information and a preset report template; A display module is used to display the post-processing report.

5. The medical post-processing information calling system according to claim 4, characterized in that: The acquisition module comprises: A capture submodule is connected to the image information system and is used to capture the interface on the image information system and capture images of the interface according to the identification position set to obtain a plurality of captured images, wherein the identification position set represents a set of positions corresponding to patient numbers on different image information system interfaces; The identification submodule is connected to the capture submodule and is used to scan and identify a number of the captured images to obtain corresponding patient numbers.

6. The medical post-processing information calling system according to claim 4, characterized in that: The display module is also used to transmit the post-processing report to the image information system.

7. According to the calling system of medical post-processing information according to claim 2, the detection data in the target analysis data includes the lesion location and the corresponding lesion value, and the comparison module is used to compare the lesion value corresponding to the lesion location with a preset threshold interval, and generate risk level information according to the threshold interval in which the lesion value corresponding to the lesion location is located.

8. The medical post-processing information calling system according to claim 4, characterized in that: The detection data in the target parsed data includes the lesion location and the corresponding lesion value. The display module starts the medical image post-processing workstation to process the corresponding data based on the lesion value by calling a component.

9. A method for calling medical post-processing information, characterized in that: The method comprises: Sending the medical image structured report on the medical image post-processing workstation to the first server, parsing the medical image structured report on the first server to obtain parsed data, and storing the parsed data, wherein the parsed data at least includes the detection data and the patient number; The first client obtains an interface on the imaging information system, obtains a corresponding target patient number using the interface on the first client, and sends the target patient number to the first server; On the first server, based on the target patient number sent by the first client, searching for target parsed data matching the target patient number, comparing the detection data in the target parsed data with preset threshold data, generating risk level information based on the comparison result, and sending the risk level information to the first client; On the first client, a post-processing report is generated according to the target analysis data, the risk level information and a preset report template.

10. A medical examination system, characterized in that: The system comprises: A medical image post-processing workstation connected to the scanning device, used to receive the medical image transmitted by the scanning device, and post-process the medical image to obtain a medical image structured report; A first server end is connected to the medical image post-processing workstation, and is used to obtain a medical image structured report from the medical image post-processing workstation, parse the medical image structured report to obtain parsed data, and store the parsed data, wherein the parsed data at least includes test data and a patient number; The imaging information system has an interface with patient number information; A first client terminal is connected to the imaging information system, and is used to obtain an interface on the imaging information system, obtain a corresponding target patient number from the interface, and send the target patient number to the first server terminal; The first server is used to search for target parsed data matching the target patient number based on the target patient number sent by the first client, compare the detection data in the target parsed data with preset threshold data, generate risk level information based on the comparison result, and send the risk level information to the first client; The first client is used to generate a post-processing report according to the target analysis data, the risk level information and a preset report template.

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