CN114927199A - Medical image report and image quality control management system, method and storage medium - Google Patents
Medical image report and image quality control management system, method and storage medium Download PDFInfo
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Abstract
The embodiment of the invention discloses a quality control system and a method for medical image reports and images, wherein the quality control system comprises the following steps: the administrator workstation is used for sampling and distributing quality control tasks, and specifically comprises the following steps: receiving the operation of a quality control administrator to create a quality control sampling task; acquiring a report to be quality controlled and an image from a database according to sampling conditions in the quality control sampling task; and distributing the report to be quality controlled and the image to a quality control expert for quality control according to a distribution rule. According to the quality control system, the cloud quality control system comprising the administrator workstation, the quality control expert workstation and the like is built by utilizing the cloud computing technology, so that the medical image and the report quality can be managed and controlled, the quality control efficiency is improved by the quality control system, the reasonability and the auditability of the quality control process are guaranteed, and perfect tools and means are provided for the refined quality management of medical image administrative departments (including image departments, hospitals, industry conventions and health administrative departments).
Description
Technical Field
The invention relates to the technical field of medical image quality control, in particular to a medical image report and image quality control management system, method and storage medium.
Background
The medical image diagnosis report generally includes two parts, i.e., a medical image and a diagnosis report, which are objective bases for medical treatment by a clinician. The quality of the images and the diagnosis reports directly reflect the level and quality of the medical technology. Meanwhile, the medical image diagnosis report is a document which is communicated between the radiologist and the clinician and has certain medical legal responsibility. Based on this, quality management and control (quality control for short) of medical image reports and images play an important role in medical treatment, mainly including: (1) is a necessary means for ensuring that patients enjoy safe and high-quality services; (2) is a necessary means for daily operation quality assessment of radiology departments and image centers; (3) is a necessary means for the ability assessment of medical technicians, reporting doctors and the like.
Accordingly, there is a need to provide a quality control management system for medical image reports and images to assist quality control experts in work, so as to improve the work efficiency.
Disclosure of Invention
In view of the foregoing technical problems, an embodiment of the present invention provides a system, a method and a storage medium for quality control management of medical image reports and images.
In order to achieve the above object, in a first aspect, an embodiment of the present invention provides a quality control management system for medical image reports and images, including:
the administrator workstation comprises a first unit, is used for sampling and distributing quality control tasks, and specifically comprises:
receiving the operation of a quality control administrator to create a quality control sampling task;
acquiring a report to be quality controlled and an image from a database according to sampling conditions in the quality control sampling task;
distributing the report to be quality-controlled to a quality-control expert according to a distribution rule;
and the quality control expert workstation is used for evaluating and grading the distributed report to be quality controlled and the distributed image by the quality control expert according to the grading detailed rule of the quality control expert so as to obtain a quality control result.
In certain preferred embodiments of the present application, the quality control system further includes a data synchronization module configured to:
and acquiring medical image and report data from a His system or a cloud film system regularly, and synchronizing the medical image and the report data to the cloud quality control database.
In certain preferred embodiments of the present application, the administrator workstation further comprises:
the second unit is used for dividing the roles of the user accounts of the quality control system;
a third unit for managing the quality control image department or image center, the quality control data, the quality control expert scoring rules and the scheme; the quality control data comprises a report to be quality controlled and a quality control result;
and the fourth unit is used for generating a quality control result report according to the quality control result aiming at each image department or image center to be controlled.
As a specific embodiment of the present application, the quality control expert workstation includes:
the overview unit is used for displaying the quantity of the quality control reports accumulated by the quality control experts, the quantity of the quality control reports to be detected, the quantity of unqualified reports detected, the working progress and the historical workload;
and the task unit is used for displaying the task state of the quality control expert, wherein the task state comprises the conditions of waiting for quality control and completing neutralization.
Further, in certain preferred embodiments of the present application, the quality control system further includes:
the exhibition hall workstation is used for exhibiting the overall situation of the quality-controlled image department or the image center, wherein the overall situation comprises the number of quality-controlled image departments or the image centers, the number of quality-controlled doctors, the number of quality-controlled technicians, the total number of quality-controlled reports, the ranking situation of the quality-controlled doctors and the ranking situation of the quality-controlled technicians;
the arbitration management workstation is used for receiving a complaint request initiated by a quality control person aiming at the quality control result and distributing the complaint request to different arbitration experts;
the arbitration specialist workstation is used for processing the allocated complaint request by the arbitration specialist to obtain a complaint result;
the supervisor workstation is used for the management layer to supervise and look up the integral condition of any controlled image department or image center;
the expert management workstation is used for examining and screening quality control experts and specifically comprises the following steps:
extracting a quality control result obtained by the quality control expert according to the grading rule of the quality control expert, examining the quality control expert according to the extracted quality control result to obtain an examination score, and eliminating the quality control expert according to the examination score;
the standard query workstation is used for uploading standard data, wherein the standard data comprises image standard data and image report standard data;
and the offline quality control workstation is used for realizing on-site quality control scoring and image-text uploading.
In a second aspect, an embodiment of the present invention provides a method for quality control of medical image images and reports, which is applicable to the system described in the first aspect. The quality control method comprises the following steps:
receiving the operation of a quality control administrator to create a quality control sampling task;
acquiring a report to be quality controlled and an image from a database according to sampling conditions in the quality control sampling task;
distributing the report to be quality controlled to a quality control expert according to a distribution rule;
and receiving evaluation and grading operation of the quality control expert on the distributed report to be quality controlled according to the grading rule of the quality control expert, and obtaining a quality control result.
As a preferred embodiment of the present application, the quality control method further includes:
before a quality control sampling task is established, acquiring medical image images and report data from a His system or a cloud film system regularly, and synchronizing the medical image images and the report data to the database;
after a quality control result is obtained, a complaint request initiated by a quality control person aiming at the quality control result is received, and the complaint request is distributed to different arbitration experts;
and receiving the processing operation of the arbitration expert on the allocated complaint request to obtain a complaint result.
In a third aspect, an embodiment of the present invention provides another quality control management system for medical images and reports, including a processor, an input device, an output device, and a memory, where the processor, the input device, the output device, and the memory are connected to each other, where the memory is used to store a computer program, and the computer program includes program instructions, and the processor is configured to call the program instructions to execute the method steps of the second aspect.
In a fourth aspect, embodiments of the present invention provide a computer-readable storage medium storing a computer program comprising program instructions, which when executed by a processor, cause the processor to perform the method steps of the second aspect.
By implementing the embodiment of the invention, the cloud quality control system comprising the administrator workstation, the quality control expert workstation and the like is built by utilizing the cloud computing technology, so that the quality management and control of medical image images and reports can be realized, the quality control efficiency is improved by the quality control system, and the reasonability and auditability of the quality control process are ensured, thereby providing perfect tools and means for more precise quality management of medical image administrative departments (including image departments, hospitals, industry conventions and health administrative departments).
Drawings
In order to more clearly illustrate the detailed description of the invention or the technical solutions in the prior art, the drawings used in the detailed description or the prior art description will be briefly described below.
FIG. 1 is a flowchart of an offline quality control part of a medical image report and image quality control system according to a first embodiment of the present invention;
FIG. 2 is an interface diagram of an offline quality control workstation;
FIG. 3 is a block diagram of a system for quality control and management of medical image reports and images according to a second embodiment of the present invention;
FIG. 4 is a block diagram of an administrator workstation;
FIG. 5 is a diagram of a sample task creation interface;
FIG. 6 is a block diagram of a quality control expert workstation;
FIG. 7 is a general structural diagram of a cloud quality control system;
FIG. 8 is a schematic view of a workflow;
FIG. 9 is an overall interface diagram;
FIG. 10a is a diagram of the first interface of the quality control expert;
FIG. 10b is a diagram of a quality control expert-task list interface;
FIG. 10c is a diagram of a quality control expert-task list-report list interface;
FIG. 10d is a diagram of a quality control scoring interface;
FIG. 11 is a diagram of a quality control administrator interface;
FIG. 12 is a diagram of a supervisor workstation interface;
FIG. 13 is an arbitration management workstation interface diagram;
FIG. 14 is an arbitration expert workstation interface diagram;
FIG. 15 is an interface diagram of a standard query workstation;
FIG. 16 is another interface diagram of a standard query workstation;
fig. 17 is a report quality control score display chart;
FIG. 18 is a flowchart of a method for quality control of medical image reports and images according to an embodiment of the present invention;
fig. 19 is another structural diagram of a medical image report and image quality control system according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1
The quality control management system for medical image reports and images provided by the first embodiment of the invention mainly comprises an offline quality control part and an online quality control part.
The off-line quality control is mainly performed by the quality control department inviting quality control experts to perform the off-line quality control periodically, randomly or by selecting a target center, and the quality control process can refer to fig. 1. Optionally, the offline quality control center may be set as an offline quality control workstation in the quality control system of this embodiment, and used as a platform for on-site quality control scoring and image-text uploading. Specifically, the offline quality control workstation can check and score on site according to corresponding standard items, take pictures and upload the pictures, and perform text description on places which do not conform to the standard items; and after each standard is scored, the system automatically generates a final score, and the final score is archived and is used as the final assessment data. The image interface of the offline quality control workstation is shown in fig. 2.
The offline quality control part is mainly used for objectively evaluating the services of technicians, reporters and auditors in the imaging department or the imaging center on the cloud quality control platform, and the offline quality control part comprises but is not limited to: image quality; (ii) reporting the quality; and checking whether the doctor evaluates reasonably and the like.
Example 2
Preferably, referring to fig. 3, the quality control management system for medical image and report according to the second embodiment of the present invention mainly includes a data synchronization module 100, an administrator workstation 200, a quality control expert workstation 300, an exhibition hall workstation 400, an arbitration management workstation 500, an arbitration expert workstation 600, and a supervisor workstation 700. It should be noted that the quality control system described in the second embodiment can be understood as a cloud quality control portion in the first embodiment.
The data synchronization module 100 is used for periodically acquiring medical image images and report data from a His system or a cloud film system and synchronizing the medical image images and the report data to a cloud quality control database;
the administrator workstation 200 provides an administrator interface for user account role division, quality control task sampling and distribution, quality control image center management, quality control data management, quality control expert scoring rules, scheme management and the like;
the quality control expert workstation 300 provides a quality control expert interface through which quality control and scoring can be performed on the reports and images extracted by the image center by the quality control expert;
the exhibition hall workstation 400 is mainly used for displaying the whole situation of the quality-controlled video department or the video center;
the arbitration management workstation 500 is used for receiving a complaint request initiated by a quality control person aiming at a quality control result and distributing the complaint request to different arbitration experts;
an arbitration expert workstation 600 for arbitrating experts to process (re-discuss and review) the allocated complaint requests to obtain complaint results;
the supervisor workstation 700, the primary management layer, supervises and consults a quality-controlled overall situation of the management center.
As shown in fig. 4, the administrator workstation 200 includes:
a first unit 20, configured to sample and distribute quality control tasks;
a second unit 21, configured to divide roles of user accounts of the quality control system; the roles of the user accounts include but are not limited to 11 of diagnosticians, auditors, technicians, quality control administrators, quality control experts, supervisors, central administrators, exhibition hall interpreters, arbitration administrators, arbitration experts, system administrators and the like;
a third unit 22, which is used for managing the quality control image center, the quality control data, the quality control expert scoring rules and the scheme; the quality control data comprises a report to be quality controlled and a quality control result;
a fourth unit 23, configured to generate a quality control result report according to the quality control result for each controlled image department or image center.
Further, the first unit 20 is specifically configured to:
receiving the operation of a quality control administrator to create a quality control sampling task;
acquiring a report to be quality controlled and an image from a cloud quality control database according to sampling conditions in the quality control sampling task;
and distributing the report to be quality controlled to different quality control experts according to a distribution rule.
It should be noted that the function of the first unit 20 may be understood as quality control task sampling, which is performed according to a certain sampling condition, and the setting of the sampling condition may be set according to its own requirement, as shown in fig. 5. After the sampling condition is set, the target center is selected to finish sampling, and the sampling task is distributed to the appointed expert all the time around the mouth, so that the quality control expert can grade according to the grading rule.
Referring to fig. 6 again, the quality control expert workstation 300 mainly includes:
the overview unit 30 is used for displaying the quantity of the quality control reports accumulated by the quality control experts, the quantity of the quality control reports to be detected, the quantity of unqualified reports, a working progress bar and historical workload; clicking unfinished tasks in the work progress bar to perform quality control, wherein the quality control expert interface is divided into a left block and a right block, the left block is provided with a report and an image, and the right block is provided with a grading rule of the image and the report;
and the task unit 31 is used for displaying the task state of the quality control expert, wherein the task state comprises the task state of quality control, neutralization and completion.
In order to better understand the quality control management system, the following further description is provided.
The quality control management system is based on the internet post quality control, and a platform user can carry out various operations of medical quality control through a computer at any time and any place. By sampling the report and the image and distributing the work, the diagnosis report and the examination image are judged by a specialist with higher capability, and the judged result has positive guiding significance for improving the professional capability of a diagnostician and an examination technician; the image center manager takes the image center as a tool to establish an image department or an image center capacity improvement scheme. The general structure of the cloud quality control system is shown in fig. 7, and the workflow thereof is shown in fig. 8. The quality control management system mainly includes 11 major roles, and each module is described below with reference to fig. 7:
1. diagnosis/review/technician-statistics
The module is mainly used for doctors/technicians to check personal statistical information, and the functional points mainly comprise:
(1) the total number of the controlled quality, the total number of qualified reports, the failure rate, the total average score, the total ranking and the comparison with the latest corresponding data;
(2) accumulating the occurrence frequency of the deduction items, and the occurrence frequency of the latest deduction item;
(3) and monthly average score statistics.
2. Diagnosis/review/technician-quality control results
The quality control person can check the report result of the quality control according to the batch, if an objection exists, a complaint can be initiated, and the functional points mainly comprise:
(1) a task batch list; (2) a report list; (3) reporting details; (4) the details of the complaints.
3. Diagnosis/review/technician-complaint reporting
The functional points of the module mainly comprise: (1) viewing a list of complaint reports to initiate; (2) rapidly checking complaint details; (3) the complaint can be cancelled before entering the next link.
4. Quality control manager-task management
The functional points of the module mainly comprise:
(a) quality control manager-task management-sampling task
(1) Sampling on demand
Provide random sampling
Providing a sample type selection function: and providing independent quality control of the report and the image, and providing quality control of the report and the image together.
The function of selecting the sampling subject is provided: when the sample contains a report, the subject of the sample may choose a diagnostician or an auditor.
Providing a selection function of device type: including CT, MR, DR, etc.
Providing a time period selection function: the start time and the end time are set, and the background will take the report in the time period.
Selection function to provide scoring schema: and selecting a specified grading scheme, and carrying out expert quality control according to the scheme.
And providing a function of setting the number of the appraisal persons: one report is evaluated by an expert by default, when the setting is more than 1, the same report is controlled by multiple persons, and the final result is averaged.
Providing a selection function of scan type: including flat sweep, enhancement, etc.
Providing a selection function of case samples: case samples were negative, positive and unknown.
Providing site and examination item selection function: the sampling can be carried out according to the positions and the specific examination items.
Providing the selection function of the video department or the video center: the sampling quantity can be set proportionally or in a fixed value, and after the setting is finished, the system can automatically calculate the sampling quantity.
Providing a selection function of a sampling doctor: doctors who do not conform to the sampling can be manually removed, for example, due to the fact that the number is not selected.
And providing a task preview function: the task preview is the initial preview of all input conditions and output results of the whole newly-built task.
Provide sample task View functionality
Including creating conditions for a task
Including the total number of centers of the sampled images, the number of samples and the average score
Including the number of sampled individuals, the average score
Including excluding the sampling personnel from viewing
Including number of experts, average score
Including quality control evaluation template setup
Including single image center quality control assessment report derivation
(2) Providing replacement reporting functionality for problematic sample reports
(3) The task without starting quality control can be cancelled
(4) The un-started and cancelled tasks can be set to be not displayed
(5) Task allocation
Providing on-demand selection expert assignment: the method comprises three modes of average distribution, non-average distribution and distribution according to the center of the image.
The equal distribution is the report decimated by the selected expert equal distribution; non-equal distribution is that each expert quality control report score or percentage can be manually specified; the distribution according to the image center can specify experts to control a certain image center for a fixed number of copies.
Providing an allocation view: and displaying the distribution quantity and the distribution progress of each expert and the quality control condition of a specific distribution report.
(b) Quality control manager-task management-sampling report
And providing a retrieval function of all the distributed reports, wherein query conditions comprise a task number, a radiation number, a device type, a sampling doctor and the like.
5. Quality control manager-expert management
Expert content includes expert sources, avatars, expert excellence equipment types, excellence locations, and the like.
The main functional points of the module are: and (4) adding, deleting, modifying and checking expert resources.
6. Quality control manager-expert workload
The main functional points of the module are: the expert workload is queried by time period.
7. Quality control manager-scoring scheme
And freely combining the scoring rules according to the adaptive equipment type and type (image or report) to form a scoring scheme.
The main functional points of the module are as follows: and (5) adding, deleting, modifying and checking a scoring scheme.
8. Quality control manager-Scoring rules
And according to the type and the category (images or reports) of the adaptive equipment, the scores of the serious deduction, the options, the scores and the like, carrying out personalized entry on corresponding contents.
The scoring detail can set whether options exist, if so, the deduction score is the deduction score of a discrete value, and if not, the deduction score is the deduction score of continuous paper. The fine rule can set a serious deduction and a deduction exceeding the score of the fine rule.
The main functional points of the module are: and (4) increasing, deleting, modifying and checking scoring detailed rules.
9. Quality control manager-image center
And maintaining information such as sampling setting, starting or not, central master and the like of the image center.
The main functional points of the module are as follows: and (4) increasing, deleting, modifying and checking the image center.
10. Quality control manager-inspection project
And maintaining the mode, the part, the scanning mode and the like corresponding to the inspection item.
The main functional points of the module are: import the last 3 months of data without parts, manually correlate the part scanning mode.
11. Quality control manager-statistics
The image center evaluates the export of the report monthly, the statistics of the expert scoring condition, the statistics of the expert workload, the login statistics and the like.
12. Quality control expert-expert statistics
The method comprises the steps of counting the total quality control reports, the number of the reports to be quality controlled, the number of the detected unqualified reports, working schedule, monthly workload and the like.
13. Quality control expert-quality control task
When the expert quality control is carried out, sensitive information such as a quality controlled person and an image mechanism to which the quality controlled person belongs is hidden, fair quality control is achieved, the scores are in percentage, and a deduction mode is adopted.
The main functional points of the module are:
a task list; a report list; reporting details;
the quality control submission comprises two functions of storage and submission, wherein the storage is temporary storage, the submission is to finish the quality control of the current report, and a remark is added if a deduction score exists.
14. Supervisor-statistics
The manager checks the statistical function of each dimension of the quality control result of the own jurisdiction, and the statistical function comprises the following steps:
the quality control report quantity and the number of people are counted, the region is evenly ranked, the image center is ranked, the unqualified report is counted, and statistics according to the equipment type, the scanning mode, the part grouping and the like are provided.
15. Central administrator-statistics
The statistical function of each dimension of the quality control result of the image center comprises the following steps:
counting the number of quality control reports and the number of people, averagely ranking according to months, ranking individuals, counting unqualified reports, counting deduction items, counting score intervals, counting people falling into the score intervals and the like.
16. Exhibit interpreter-statistics
(a) Providing statistics of all hospital or department data examined
Provide a statistical display of all hospitals or departments examined: and (4) selecting the number of the image centers accessed to all hospitals or departments to be checked in time, the number of quality-controlled auditors and doctors, and the number of quality-controlled reports for statistics.
Providing statistical data result display by device type, scanning mode and part grouping
Provide a ranked result display of all examined hospital or department physicians: and ranking the national auditing doctors according to the average score of the quality control report in the selected time.
Provide a ranked result display of all hospital or department technicians examined: all hospital or department technicians under examination are ranked by the average score of the quality control images within the selected time.
Provide a region ranking results presentation: and ranking the areas according to quality control reports/images within the selected time.
Provide a presentation of the image centric ranking results: and (4) ranking the image centers by selecting quality control reports/images within time.
Provide monthly sample data trend graph presentation: the number of samples per month in the selection time is counted, and the number can be checked according to the type of equipment, the type of scanning and the number of parts.
Provide monthly fail data trend graph displays: and (4) counting the number of unqualified reports/images generated by quality control of each month in the selection time, and checking the number according to the equipment type, the scanning type and the part.
(b) Regional data statistics
Provide a region total statistics structural presentation: and selecting statistics of the number of image centers, the number of quality-controlled auditors and technicians, the number of quality-controlled reports, unqualified reports and the unqualified rate of the current area in time.
And providing statistical data result display according to equipment types, scanning modes and part groups.
Provide a display of physician ranking results within the region: and ranking the auditing doctors in the region according to the average score of the quality control report in the selected time.
Provide an in-area technician ranking results display: the technicians in the area are ranked according to the average score of the quality control image in the selected time.
Provide a regional capability display: the method comprises the following steps that (1) a controlled report/image capability is characterized in a selected time, and the report is characterized in five aspects of main diagnosis positioning, main diagnosis qualitative, main diagnosis description, secondary diagnosis, logical and standard terms; the image is characterized in four aspects of image identification, image artifacts, image position and image definition.
Provide an intra-area image-centric ranking results presentation:
and selecting the quality control report/image in the time region to rank the image centers.
Provide monthly average score trend graph displays: the average score statistics of the reports/images in each month in the time region are selected, and the number of the reports/images can be checked according to the type of equipment, the type of scanning and the number of parts.
Provide monthly fail data trend graph displays: and selecting the unqualified report/image quantity statistics generated by quality control of each month in the time region, and checking the quantity according to the equipment type, the scanning type and the part.
(c) Image center data statistics
Providing a statistical result display of the image center total number: and selecting statistics of the current image center ranking, the number of quality control reports, the number of quality control auditors and technicians, unqualified reports and the unqualified rate in time.
Providing statistical data result display by device type, scanning mode and part grouping
Provide image centric physician ranking results presentation: and ranking the auditing doctors in the image center according to the average score of the quality control report in the selected time.
Provide an in-region technician ranking results presentation: and (4) ranking the technicians in the image center according to the average score of the quality control images within the selected time.
Providing a representation of the capabilities of the image center: the method comprises the following steps that (1) a controlled report/image capability is characterized in a selected time, and the report is characterized in five aspects of main diagnosis positioning, main diagnosis qualitative, main diagnosis description, secondary diagnosis, logic and standard terms; the image is characterized in four aspects of image identification, image artifacts, image position and image definition.
Provide a presentation of the image centric ranking results: and ranking the image centers according to the quality control report/image in the selected time image center.
Provide a monthly mean trend graph display: the monthly report/image average score statistics in the time imaging center is selected, and the number of the reports/images can be checked according to the equipment type, the scanning type and the parts.
Provide monthly fail data trend graph displays: and selecting the quantity statistics of unqualified reports/images generated by quality control of each month in the time image center, and checking the quantity according to the equipment type, the scanning type and the parts.
Providing the historical quality control result display of the image center: the total number of reports per sample, the number of samples, the number of quality control auditors/technicians, the average score of each person and the like are included, and the details of each report can be checked.
(d) Personal data statistics
Provide a population count statistics display: and selecting statistics of the number of times of quality control, ranking, the number of quality control reports, unqualified reports and the unqualified rate of the personnel in the time.
And providing statistical data result display according to the device types, the scanning modes and the part groups.
Providing a personal capability display: the personnel ability in the time is selected to be characterized, and the report is characterized from five aspects of main diagnosis positioning, main diagnosis qualitative, main diagnosis description, secondary diagnosis, logical and normative terms; the image is characterized in four aspects of image identification, image artifacts, image position and image definition.
Provide a monthly mean trend graph display: the average score statistics of the reports/images of the person in each month in the selected time can be respectively checked according to the equipment type, the scanning type and the number of parts.
Provide monthly fail data trend graph displays: and (4) selecting the quantity statistics of unqualified reports/images generated by quality control of the personnel every month in the time, and checking the quantity according to the equipment type, the scanning type and the parts.
Provide all sampling reports for that person
Providing the historical quality control result display of the personnel: including the number of samples per time, average score, and sampling time, and the details of each report can also be viewed.
17. Arbitration administrator-complaint reporting
The main functional points of the module are as follows: viewing all the initiated complaint report lists; directly responding to the complaint; forwarding to an arbitration expert; the auditing and arbitrating expert returns the results, and can make modifications.
18. Arbitration expert-complaint report
The main functional points of the module are as follows: viewing a complaint report list distributed to the client; viewing the complaint details; responding to the complaint.
19. System administrator-menu management
The method mainly maintains information such as names, connections, icons and the like of the menus.
The main functional points of the module are: and (5) increasing, deleting, changing and checking the menu.
20. System administrator-role management
The method mainly maintains information such as role names and icons.
The main functional points of the module are: and (4) adding and deleting roles, and modifying and checking.
21. System administrator-role authorization
The main functional points of the module are as follows: and (4) menu distribution of roles.
22. System administrator-area management
The method is mainly used for maintaining information such as area names, structures, longitude and latitude.
The main functional points of the module are: and (5) increasing, deleting, modifying and checking the areas.
23. System administrator-user management
Mainly user name, account number, role management and the like.
The main functional points of the module are: and (4) increasing, deleting, modifying and checking the user.
Based on the above description of each module of the quality control management system, the following description is provided for the use process thereof:
logging into the system, and entering into an interface as shown in fig. 9, the modules in the interface will be described below.
Quality control expert workstation
After selecting the "quality control expert workstation" in fig. 9 and completing the input of account number and password, etc., the interface shown in fig. 10a is entered.
In the interface, the area I is a navigation area, the area II is a work progress display area, and a task list interface shown in FIG. 10b is entered by clicking 'task' or 'more'. In fig. 10b, area (i) is a task state selection area, area (ii) is a display of the progress of each task in completing quality control, and a report list of the task can be entered by clicking "view report", as shown in fig. 10 c. Clicking on "remove quality control" in the graph may enter the quality control scoring interface of the report, fig. 10 d. In the figure, a region I is a report and an image region, an image of the report can be viewed by clicking 'view image', a region II is an expert scoring region, and 'image scoring' or 'report scoring' is clicked to enter scoring interfaces of the image and the report respectively.
The scoring adopts a deduction selection mode, each scoring detail does not default to a score, each item must be selected, and reasons must be filled in a reason frame under the deduction item under the condition of the deduction; the lowest end of each report score and each image score is provided with a remarking frame for marking the score, and the impression score please fill in the whole impression score; and after the scoring is finished, clicking 'submission' to finish the scoring of the report, stopping clicking 'saving' for temporarily storing the scoring progress in the scoring process, entering the report of the example next time to continuously finish quality control scoring, and modifying the scoring result after submission.
In addition, the quality control expert workstation also develops a quality control task withdrawing function.
Second, quality control manager workstation
After entering the quality control administrator workstation from the interface shown in fig. 9, the following can be performed:
1. expert maintenance: and a quality control administrator maintains basic information of the experts, creates new experts, allocates account numbers and the like.
2. And (4) keeping the scoring detailed rules: and viewing all the scoring detailed rules, searching by adopting conditions such as detailed rule description, state, equipment type and the like, and creating and modifying the scoring detailed rules.
It should be noted that the score rule is the minimum dimension of the quality control report, and one rule can only be applied to the report or the image, and only one of the two rules can be selected.
The fine rule can be set as whether an option exists, if so, the deduction is the deduction of a discrete value, and if not, the deduction is the deduction of a continuous value.
The rules may set a severe credit, i.e., a credit that exceeds the score of the rules.
3. And (3) maintenance of a grading scheme: and viewing all the grading schemes, searching by adopting conditions such as scheme names, states, equipment types and the like, and creating and modifying the grading schemes.
It should be noted that the scoring scheme is a set of scoring rules, and when a sampling task is newly created, a scoring scheme must be specified, and then the rules in the scheme are applied to each report when the quality control is performed on the sampled reports. The type of the scheme can be selected from images, reports or images or reports, the type of the sampling task is the image, only the grading scheme of the image type can be applied, and the like.
4. Task maintenance: the method comprises the steps of creating tasks, checking the tasks, canceling the tasks, distributing the tasks, notifying the tasks and the like.
Wherein, clicking on "assign" in fig. 11, the task can be assigned to experts, supporting mean assignment, quota assignment, and assigning according to hospitals.
A report may be reviewed by a plurality of experts, such as 36 reports from a sample, with each report having a 3 reviewer count, an assignable count of 108, and at least 3 experts selected for assignment.
When the distribution is not average according to hospitals, each selected expert is defaulted to distribute all the image centers, and the image centers can be deleted automatically when individual requirements exist.
5. Maintaining an image center: and maintaining the name of the image center, searching by the name, and creating/modifying the image center.
6. And (3) data statistics: the method has the advantages that the statistics of summarizing and evaluating reports of some centers of the quality control platform are carried out, the statistics of summarizing and evaluating the workload and the grading condition of quality control experts are carried out, the statistics of user login and use conditions are carried out, and a quality control manager can conveniently make corresponding quality control schemes through data analysis and mastering various information of the platform.
7. And (4) inquiring a unqualified report: the condition search is carried out on the unqualified report and the important deduction item which are particularly concerned, so that the conditions of the unqualified report and the important deduction item in the monthly quality control task can be conveniently and directly known.
8. And (4) replacement report: because data uploading may have data confusion or data loss, which causes the situation that the image is incomplete or not matched with the report in the task of extraction, the function of replacing the report is developed.
Third, supervisor's workstation
The interface shown in fig. 9 can enter the interface of the monitoring staff workstation shown in fig. 12, the area (i) is an overview of the quality control condition of the image center, the area (ii) can select the time period for creating data, the area (iii) is a data display option, the area (iv) is a central doctor ranking list area, the area (iv) is a data statistics map area, the report list corresponding to the quality control of the doctor can be entered by clicking 'view', and the specific scoring details of the report can be viewed according to the list display.
Fourth, arbitration management workstation
From the interface shown in FIG. 9, the interface shown in FIG. 13 can be entered, where the interface can view the complaint task to be processed, and clicking "View" can view details of the complaint report.
Fifth, arbitration expert workstation
From the interface shown in FIG. 9, the interface shown in FIG. 14 can be entered, where the interface can review the complaint task to be processed and can make an assessment of the complaint task.
Sixth, exhibition hall workstation
The exhibition hall workstation interface is accessible from the interface shown in fig. 9, in which:
and (4) an area: quality control total statistics in selected time
Area two: selecting the grouping statistics of the total number in time according to the type, the position and the scanning type of the equipment, and clicking to view a specific report list
Region three: the former five ranks of doctors are audited nationwide, more auditors are audited, and the individual evaluation in the table can check the individual ability
Area (iv): national technician top five ranks, viewing more all technician ranks, personal evaluation in the table to view personal abilities
Area fifth: the area is distributed, the number of brackets is the central quantity of the quality control images of the area, the size of the circle is positively correlated with the quantity of the quality control images, and the ability of clicking the circle to view the area
Region (c): selecting image center rank within time, and clicking on viewable image center capability
Region (c): selecting monthly sampling quantity in time, clicking to check concrete report list
A region (b): selecting the number of unqualified monthly reports in time, and clicking to view a specific report list
As can be seen from the above description, the cloud quality control platform according to the embodiment of the present invention uses a cloud computing technology to build a cloud quality control system including an administrator workstation and a quality control expert workstation, so as to implement quality management and control on medical images and reports.
Example 3
The present embodiment is different from embodiment 2 only in that a standard inquiry workstation and an expert management workstation are newly added.
The standard query workstation is mainly used for standard uploading and query, and the standard is divided into an image board and an image report board.
Image plate: the images contain scanning standards and requirements and can be classified into CT, MR, DR, US, PET-CT and PET-MR according to the type of device. Routine maintenance and content update of the standard query workstation are performed by a quality control administrator, and the workstation is open to all users, and the interface is shown in fig. 15.
Image report plate: to report templates, descriptive terms and terms, visual report guides, and the like. All standards can be searched according to keywords, and maintenance and update of the standards are performed periodically, and the working interface is shown in fig. 16.
Wherein, expert management workstation is used for examining and screening the quality control expert, specifically is: every month, a certain number of reports are extracted, different experts do quality control, the overall quality control evaluation is not included, the reports are only used for checking the quality control experts, the scores obtained by each expert are transversely compared and displayed (as shown in figure 17), and the reports are eliminated if the experts do not meet the requirements.
As can be seen from the above description, the quality control management system of the present application is a cloud quality control system that is constructed by using a cloud computing technology and includes an administrator workstation and a quality control expert workstation, and can implement quality management and control on medical image images and reports, and the quality control management system improves quality control efficiency, and ensures rationality and auditability of a quality control process, thereby providing a perfect tool and means for more precise quality management of medical image administration departments (including image departments, hospitals, industry agreements and health administration departments).
It should be further emphasized that the usage scenario of the quality control management system of the present application includes, but is not limited to, a certain enterprise, a certain association, a certain hospital, a certain medical administration, a certain image department, etc. which are specialized in quality control of medical image reports. Any organization or group of organizations may use the system of the present application as far as the requirements relating to medical image reporting and image quality control are concerned, with the permission of the applicant.
Based on the same conception, the embodiment of the invention provides a quality control method for medical image reports and images, which is suitable for the embodiment of the system. As shown in fig. 18, the method mainly includes:
and S101, acquiring medical images and report data from a His system or a cloud film system regularly, and synchronizing the medical images and the report data to a database.
Specifically, the quality control system synchronizes the report data of the previous day of the existing image center from the cloud film system every morning and synchronizes the report data to the database.
And S102, maintaining the scoring rules, the scoring scheme, expert resources and the like.
And S103, receiving the operation of a cloud quality control administrator to create a quality control sampling task.
And S104, acquiring a report to be quality controlled and an image from a database according to the sampling condition in the quality control sampling task.
And S105, distributing the report to be quality controlled and the image to different quality control experts according to a distribution rule.
And S106, receiving evaluation and grading operations of the quality control expert on the distributed report to be quality controlled according to the grading rules of the quality control expert, and obtaining a quality control result.
And S107, receiving a complaint request initiated by a quality control person aiming at the quality control result, and distributing the complaint request to different arbitration experts.
And S108, receiving the processing operation of the arbitration expert on the allocated complaint request to obtain a complaint result.
Steps S103 to S108 may be understood as a process of starting quality control, specifically:
the quality control manager creates sampling tasks as required, then the system randomly samples (data is desensitized) from the sampling reports according to sampling conditions, then the quality control manager distributes to appointed experts according to rules, the experts score and submit the reports after seeing the reports distributed to the experts, after all reports sampled once are scored, doctors/technicians who are in quality control can see the quality control conditions of the reports of the experts, if the results are not different, complaints can be initiated, complaints are conducted by complaint managers, the quality control results after treatment are filed and counted, and the supervisors/central managers/exhibition hall solvers can see multi-dimensional statistical results.
Corresponding to the embodiment of the method, the invention provides a quality control system for medical images and reports provided by the embodiment of the invention. As shown in fig. 19, the system may include: one or more processors 101, one or more input devices 102, one or more output devices 103, and memory 104, the processors 101, input devices 102, output devices 103, and memory 104 being interconnected by a bus 105. The memory 104 is used for storing a computer program comprising program instructions, the processor 101 being configured for invoking the program instructions for performing the methods of the above-described method embodiment parts.
It should be understood that, in the embodiment of the present invention, the Processor 101 may be a Central Processing Unit (CPU), a deep learning graphics card (e.g., NPU, nvida GPU, google TPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an FPGA (Field-Programmable Gate Array) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The input device 102 may include a keyboard or the like, and the output device 103 may include a display (LCD or the like), a speaker, or the like.
The memory 104 may include read-only memory and random access memory, and provides instructions and data to the processor 101. A portion of the memory 104 may also include non-volatile random access memory. For example, the memory 104 may also store device type information.
In specific implementation, the processor 101, the input device 102, and the output device 103 described in the embodiment of the present invention may execute the implementation manner described in the embodiment of the quality control method for medical images and reports provided in the embodiment of the present invention, and details are not described herein again.
It should be noted that, for the specific workflow and the relevant details of the cloud quality control system of the medical images and reports in the embodiment of the present invention, please refer to the foregoing method embodiment section, and details are not repeated here.
Further, corresponding to the foregoing quality control method and the system shown in fig. 19, an embodiment of the present invention further provides a readable storage medium storing a computer program, where the computer program includes program instructions, and when the program instructions are executed by a processor, the computer program implements: the quality control method of the medical report and the image.
The computer readable storage medium may be an internal storage unit of the system according to any of the foregoing embodiments, for example, a hard disk or a memory of the system. The computer readable storage medium may also be an external storage device of the system, such as a plug-in hard drive, Smart Media Card (SMC), Secure Digital (SD) Card, Flash memory Card (Flash Card), etc. provided on the system. Further, the computer readable storage medium may also include both an internal storage unit and an external storage device of the system. The computer readable storage medium is used for storing the computer program and other programs and data required by the system. The computer readable storage medium may also be used to temporarily store data that has been output or is to be output.
Those of ordinary skill in the art will appreciate that the elements and algorithm steps of the examples described in connection with the embodiments disclosed herein may be embodied in electronic hardware, computer software, or combinations of both, and that the components and steps of the examples have been described in a functional general in the foregoing description for the purpose of illustrating clearly the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one type of logical functional division, and other divisions may be realized in practice, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may also be an electric, mechanical or other form of connection.
In addition, the functional units in the embodiments of the present invention may be integrated into one processing unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention essentially or partially contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk, and various media capable of storing program codes.
While the invention has been described with reference to specific embodiments, the invention is not limited thereto, and various equivalent modifications and substitutions can be easily made by those skilled in the art within the technical scope of the invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. A quality control management system for medical image report and image, comprising:
the administrator workstation comprises a first unit, is used for sampling and distributing quality control tasks, and specifically comprises:
receiving the operation of a quality control administrator to create a quality control sampling task;
acquiring a report to be quality controlled and an image from a database according to sampling conditions in the quality control sampling task;
distributing the report to be quality-controlled and the image to a quality-control expert according to a distribution rule;
and the quality control expert workstation is used for evaluating and grading the distributed report to be quality controlled and the distributed image by the quality control expert according to the grading detailed rule of the quality control expert so as to obtain a quality control result.
2. The quality control system of claim 1, wherein the administrator workstation further comprises:
the second unit is used for dividing the roles of the user accounts of the quality control system;
a third unit for managing the quality control image department or image center, the quality control data, the quality control expert scoring rules and the scheme; the quality control data comprises a report to be quality controlled and a quality control result;
and the fourth unit is used for generating a quality control result report according to the quality control result aiming at each image department or image center to be controlled.
3. The quality control system according to claim 1, wherein the quality control specialist workstation comprises:
the overview unit is used for displaying the quantity of the quality control reports accumulated by the quality control experts, the quantity of the quality control reports to be detected, the quantity of unqualified reports detected, the working progress and the historical workload;
and the task unit is used for displaying the task state of the quality control expert, wherein the task state comprises the conditions of waiting for quality control and completing neutralization.
4. The quality control system according to claim 1, further comprising:
the exhibition hall workstation is used for displaying the overall situation of the quality-controlled video department or the video center, wherein the overall situation comprises the number of the quality-controlled video department or the video center, the number of quality-controlled doctors, the number of quality-controlled technicians, the total number of quality-controlled reports, the ranking situation of the quality-controlled doctors and the ranking situation of the quality-controlled technicians;
the arbitration management workstation is used for receiving a complaint request initiated by a quality control person aiming at the quality control result and distributing the distribution request to different arbitration experts;
and the arbitration expert workstation is used for processing the allocated complaint request by the arbitration expert to obtain a complaint result.
5. The quality control system according to claim 4, further comprising:
the supervisor workstation is used for the management layer to supervise and look up the integral condition of any controlled image department or image center;
the expert management workstation is used for examining and screening quality control experts and specifically comprises the following steps:
and extracting a quality control result obtained by the quality control expert according to the grading rules of the quality control expert, checking the quality control expert according to the extracted quality control result to obtain a check score, and eliminating the quality control expert according to the check score.
6. The quality control system according to claim 5, further comprising:
the standard query workstation is used for uploading standard data, and the standard data comprises image standard data and image report standard data;
and the offline quality control workstation is used for realizing on-site quality control scoring and image-text uploading.
7. A quality control method for medical image reports and images, which is applied to the quality control management system according to any one of claims 1 to 6, and comprises the following steps:
receiving the operation of a quality control administrator to create a quality control sampling task;
acquiring a report to be quality controlled and an image from a database according to sampling conditions in the quality control sampling task;
distributing the report to be quality controlled and the image to a quality control expert according to a distribution rule;
and receiving evaluation and grading operation of the quality control expert on the distributed report to be quality controlled according to the grading rules of the quality control expert to obtain a quality control result.
8. The quality control method according to claim 7, further comprising:
before a quality control sampling task is established, medical images and report data are periodically acquired from a cloud film system, and are synchronized to the database;
after a quality control result is obtained, a complaint request initiated by a quality control person aiming at the quality control result is received, and the complaint request is distributed to different arbitration experts;
and receiving the processing operation of the arbitration expert on the allocated complaint request to obtain a complaint result.
9. A system for quality control management of medical image reports and images, comprising a processor, an input device, an output device and a memory, the processor, the input device, the output device and the memory being interconnected, wherein the memory is configured to store a computer program comprising program instructions, the processor being configured to invoke the program instructions to perform the method steps of claim 7 or 8.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program comprising program instructions which, when executed by a processor, cause the processor to carry out the method steps of claim 7 or 8.
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