Radiology department follow-up visit management system and method and medium
Through the radiology follow-up management system, the problem of slow diagnosis and treatment in traditional follow-up work has been solved, efficient management of volunteers and patients has been achieved, and the efficiency of clinical examinations in the radiology department has been improved.
Patent Information
- Application Number
- CN202510593626.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-05-09
- Publication Date
- 2025-10-03
AI Technical Summary
In traditional radiology follow-up work, the diagnosis and treatment speed is slow, and it is difficult to efficiently manage the basic information of volunteers or patients, which affects the progress of scientific research.
A radiology follow-up management system is provided, which includes a role confirmation module, a questionnaire management module, an imaging data management module, an evaluation module and a diagnosis module. By collecting user information, assigning questionnaires, evaluating questionnaire levels, generating diagnosis results and providing diagnosis and treatment measures, work efficiency is improved.
It has realized batch processing of volunteers and patients, improved the efficiency of clinical examinations in the radiology department, reduced the trouble of doctors in follow-up diagnosis, and improved the efficiency of follow-up management.
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Figure CN120748664A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of medical management technology, and in particular to a radiology department follow-up management system, method and medium. Background Art
[0002] In the clinical and scientific research work of the radiology department, it is generally necessary to recruit volunteers or patients for follow-up work. Traditional radiology follow-up work is often accompanied by difficulties in managing the basic information of recruited volunteers or patients, which needs to be recorded manually through forms. Both diagnosis and treatment require professional medical staff to analyze and draw conclusions. This not only slows down the diagnosis and treatment speed, but is also not conducive to the progress of scientific research.
[0003] Therefore, how to improve the clinical research efficiency of the radiology department is a technical problem that needs to be solved urgently. Summary of the Invention
[0004] In view of the above problems, the present invention provides a radiology follow-up management system, method and medium that overcome the above problems or at least partially solve the above problems.
[0005] In a first aspect, the present invention provides a radiology follow-up management system, comprising:
[0006] A role confirmation module is used to collect basic information of the user, including medical information; and confirm the user's role information based on the basic information;
[0007] The questionnaire management module is used to assign different user questionnaire reports based on the user's role information and condition information, and collect the questionnaire results;
[0008] Radiological data management module, used to collect users' radiological reports;
[0009] An evaluation module, configured to evaluate the user's questionnaire level based on the questionnaire survey results;
[0010] A diagnosis module, configured to generate a corresponding diagnosis result based on the questionnaire level and the imaging report;
[0011] The diagnosis and treatment measure providing module is used to provide corresponding diagnosis and treatment measures based on the diagnosis results.
[0012] Preferably, it also includes:
[0013] Clinical information management module, used to collect users' clinical test results at different follow-up times;
[0014] The analysis and processing module is used to analyze the user's recovery status based on the clinical test results of the user at different follow-up times.
[0015] Preferably, the analysis and processing module is used to:
[0016] Based on the clinical test results of the user at different follow-up times, comparing the clinical test results at adjacent follow-up times to determine the difference in clinical test results;
[0017] Based on the differences, the user's recovery status is analyzed.
[0018] Preferably, the role information includes: volunteers and patients;
[0019] The user questionnaire survey report is a questionnaire survey report for any one or more of the user's cognitive level, memory level, and pain level.
[0020] Preferably, the evaluation module is used to:
[0021] Based on the questionnaire survey results, the user's cognition is evaluated according to the cognitive assessment scale, the user's memory strength is evaluated according to the memory assessment scale, and the user's pain level is evaluated according to the pain assessment scale.
[0022] Preferably, the imaging report is any one or more of the following:
[0023] DR, CT and MRI.
[0024] Preferably, it also includes:
[0025] The volunteer recruitment module is used to provide recruitment topics for different clinical studies for users to choose from.
[0026] In a second aspect, the present invention further provides a radiology follow-up management method, comprising:
[0027] Collecting basic information of the user; based on the basic information, including medical information, confirming the user's role information;
[0028] Based on the user's role information and condition information, different user questionnaire reports are assigned and the questionnaire results are collected;
[0029] Collect users' imaging reports;
[0030] Based on the questionnaire survey results, evaluating the user's questionnaire level;
[0031] generating a corresponding diagnosis result based on the questionnaire level and the imaging report;
[0032] Based on the diagnosis results, corresponding diagnosis and treatment measures are provided.
[0033] In a third aspect, the present invention further provides a computer-readable storage medium having a computer program stored thereon, which implements the method described in the second aspect when the program is executed by a processor.
[0034] One or more technical solutions in the embodiments of the present invention have at least the following technical effects or advantages:
[0035] The present invention provides a radiology follow-up management system, comprising: a role confirmation module for collecting basic information of users, the basic information including condition information; determining the role information of users based on the basic information; a questionnaire management module for allocating different user questionnaire reports based on the user's role information and condition information, and collecting questionnaire survey results; an imaging data management module for collecting the user's imaging report; an evaluation module for evaluating the user's questionnaire level based on the questionnaire survey results; a diagnosis module for generating corresponding diagnosis results based on the questionnaire level and the imaging report; and a diagnosis and treatment measure providing module for providing corresponding diagnosis and treatment measures based on the diagnosis results, thereby performing batch processing on batches of volunteers or patients to obtain corresponding diagnosis and treatment measures, thereby improving the work efficiency of clinical examinations in the radiology department. BRIEF DESCRIPTION OF THE DRAWINGS
[0036] Various other advantages and benefits will become apparent to those skilled in the art upon reading the detailed description of the preferred embodiment below. The accompanying drawings are for illustration purposes only and are not to be considered as limiting the present invention. Throughout the drawings, the same reference figures denote the same components. In the drawings:
[0037] Figure 1 It shows a structural diagram of the radiology department follow-up management system according to an embodiment of the present invention;
[0038] Figure 2 A schematic flow chart of the steps of the radiology department follow-up management method according to an embodiment of the present invention is shown. DETAILED DESCRIPTION
[0039] Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present invention are shown in the accompanying drawings, it should be understood that the present invention can be implemented in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided to enable a more thorough understanding of the present invention and to fully convey the scope of the present invention to those skilled in the art.
[0040] Example 1
[0041] The embodiment of the present invention provides a radiology follow-up management system, such as Figure 1 Shown, including:
[0042] The role confirmation module 101 is used to collect basic information of the user, including medical information; based on the basic information, confirm the user's role information;
[0043] The questionnaire management module 102 is used to assign different user questionnaire reports based on the user's role information and condition information, and collect questionnaire results;
[0044] Radiological data management module 103, used to collect radiological reports of users;
[0045] Evaluation module 104, for evaluating the user's questionnaire level based on the questionnaire survey results;
[0046] Diagnosis module 105, for generating corresponding diagnosis results based on the questionnaire level and imaging report;
[0047] The diagnosis and treatment measure providing module 106 is used to provide corresponding diagnosis and treatment measures based on the diagnosis results.
[0048] The system can not only record the follow-up information of volunteers, but also record the follow-up information of patients.
[0049] Therefore, the role confirmation module 101 can not only collect the basic information of the user, but also confirm the role information of the user based on the basic information, where the basic information includes the medical condition information.
[0050] Basic information includes: the user's name, gender, age, height, weight, and allergy history, as well as role information, such as whether the user is a patient or a volunteer.
[0051] The role confirmation module 101 confirms the identities of different users based on the role information.
[0052] After confirming the identity of the user, a questionnaire survey is conducted through the questionnaire management module 102. Specifically, based on the user's role information and condition information, different user questionnaire survey reports are assigned, and the questionnaire survey results are collected.
[0053] The questionnaire report here is a questionnaire report for any one or more of the user's cognitive level, memory level, and pain level.
[0054] Different user questionnaires are assigned to different roles. For example, volunteers have blank information and need to fill in more questionnaires. However, patients already have clear symptoms and only need to provide targeted questionnaires.
[0055] The user questionnaire report is sent to the user in the form of an electronic document. The user completes the questionnaire content and provides feedback by choosing to fill it out, so that the system can collect the questionnaire results.
[0056] Next, the imaging data management module 103 collects the user's imaging report.
[0057] Here, users can take photos and upload them themselves, or they can connect to the hospital's medical imaging center and extract them independently.
[0058] Specifically, the medical imaging report includes multiple types, including DR, CT, and MRI.
[0059] DR, or digital radiography, utilizes the penetrating power of X-rays. X-rays are penetrating, passing through the body and leaving a black-and-white image on film. They are unable to penetrate obscured areas, such as bones, and appear white on the film. Conversely, obscured areas appear black. This is like a piece of bread or a ball of cotton: the fibers inside are invisible on the surface, but become clearer when you squish them.
[0060] The scope of examination targeted by this DR is as follows: Skeletal system: DR is one of the important examination methods in clinical orthopedics. Its function is to check whether there are fractures and organic lesions in bone joints, spine and bones, and to determine the location, size, degree of the lesions and their relationship with the surrounding soft tissues. Chest: Mainly used to check whether the ribs are fractured, whether the spine is scoliotic or fractured; to determine whether the lungs have inflammation, tumors, tuberculosis, pleural effusion, pneumothorax, etc.; and to check the size of the heart shadow. Abdomen: It can help determine whether the patient has gastrointestinal perforation, gastrointestinal obstruction, and intestinal gas accumulation. Urinary system: It can detect whether there are stones; Uterine examination: It can be used to check the position of the contraceptive ring.
[0061] CT scans also work by passing X-rays through the body, which are then converted into images by a computer. This is like cutting the body horizontally into hundreds of sections, each 0.5 cm or even 1 mm apart. The contents of each section can then be visualized on the image. CT scans can be performed from head to toe, encompassing the skull, chest, abdomen, spine, pelvis, and limbs. They are particularly crucial for diagnosing early-stage lung cancer.
[0062] MRI (magnetic resonance imaging) works by using the powerful magnetic field generated by the magnetic resonance imaging device to make the hydrogen atoms in our human body produce longitudinal magnetization vectors, and then generate resonance through radio frequency pulses of different time sequences, thereby generating images with different contrasts, so that the differences between normal tissues and lesions can be observed.
[0063] Scope of application: It is suitable for examination of any part of the human body and also for diagnosis of various diseases of the human body, especially the nervous system (brain) and soft tissue (spinal cord), abdomen, etc.
[0064] For each type of imaging report, there is a corresponding reference result.
[0065] Next, the evaluation module 104 is used to evaluate the user's questionnaire level based on the questionnaire survey results.
[0066] Specifically, the evaluation module 104 is used to: evaluate the user's cognition according to the cognitive evaluation scale based on the questionnaire survey results, evaluate the user's memory strength according to the memory evaluation scale, and evaluate the user's pain level according to the pain evaluation scale.
[0067] For example, different pain locations correspond to different pain levels, durations, and symptoms. The pain level is determined based on the user's selected pain condition options, including general, moderate, very, and severe pain.
[0068] Of course, the level of cognitive ability is also determined based on the user's selection and is assessed using the cognitive assessment scale. Memory is similar.
[0069] This questionnaire evaluates user perceptions and other data to ensure they meet standards for comparison. The questionnaire process must be logically consistent. If the logic is incorrect, additional content may be needed to improve the accuracy of the results.
[0070] Then, the diagnosis module 105 is used to generate corresponding diagnosis results based on the questionnaire level and the imaging report.
[0071] For example, if the imaging report shows the location and number of lesions, which are inconsistent with the pain location shown in the questionnaire, the diagnosis is made as to whether the lesions are stretched, etc. If the imaging report matches the questionnaire level, the imaging report shall prevail and the corresponding diagnosis result shall be provided. If the imaging report does not match the questionnaire level, the imaging report and the questionnaire level shall be input into the diagnostic model to output the diagnosis result. The diagnostic model is trained using historical imaging reports, historical questionnaire levels and historical diagnosis results provided by corresponding doctors as training data to train the prediction model, thereby obtaining the diagnostic model, which is used to output the diagnosis result based on the user's imaging report and questionnaire level.
[0072] The diagnosis and treatment measure providing module 106 is used to provide corresponding diagnosis and treatment measures based on the diagnosis results.
[0073] Specifically, to obtain a diagnosis and treatment provision model, a large number of historical diagnosis results and corresponding historical diagnosis and treatment measures provided by doctors are first collected. Then, these historical diagnosis results and historical diagnosis and treatment measures are input into a neural network model for training, thereby obtaining a diagnosis and treatment provision model. Specifically, the neural network model can adopt CNN, RNN, etc.
[0074] Then, the current diagnosis result is input into the diagnosis and treatment measure providing model to obtain the corresponding diagnosis and treatment measures.
[0075] In a specific embodiment, the system further comprises: a clinical information management module for collecting clinical test results of users at different follow-up times;
[0076] The analysis and processing module is used to analyze the user's recovery status based on the user's clinical test results at different follow-up times.
[0077] After adopting appropriate diagnosis and treatment measures for users of different roles, it is necessary to follow up on the users. During the follow-up, the clinical test results corresponding to the follow-up time are recorded to analyze the user's recovery status.
[0078] For example, through drug treatment or surgical treatment, corresponding clinical test results can be obtained after 3 months or half a year of follow-up.
[0079] Specifically, the analysis and processing module is used to: based on the clinical test results of the user at different follow-up times, compare the clinical test results of adjacent follow-up times to determine the difference in clinical test results; and analyze the user's recovery status based on the difference.
[0080] For example, in a clinical trial of a certain project, it was determined that the patient had 3 lesions during the first examination. The lesions were removed through surgery. The number of lesions was 0 during the first follow-up, and the number of lesions was also 0 during the second follow-up. After nearly 1 year, it was found that the patient had recovered well and there was no recurrence.
[0081] The system can directly record and analyze the user's follow-up status, thereby providing corresponding analysis results, avoiding the trouble of doctors needing to follow up on the diagnosis, and improving the efficiency of clinical testing.
[0082] The system also provides a volunteer recruitment module for providing recruitment topics for different clinical studies for users to choose from.
[0083] Specifically, clinical researchers can publish recruitment information through this system. When volunteers or patients see this recruitment information, they can choose clinical research projects that are suitable for the current situation and sign up, thereby improving the efficiency of recruiting volunteers and patients.
[0084] One or more technical solutions in the embodiments of the present invention have at least the following technical effects or advantages:
[0085] The present invention provides a radiology follow-up management system, comprising: a role confirmation module for collecting basic information of users, the basic information including condition information; determining the role information of users based on the basic information; a questionnaire management module for allocating different user questionnaire reports based on the user's role information and condition information, and collecting questionnaire survey results; an imaging data management module for collecting the user's imaging report; an evaluation module for evaluating the user's questionnaire level based on the questionnaire survey results; a diagnosis module for generating corresponding diagnosis results based on the questionnaire level and the imaging report; and a diagnosis and treatment measure providing module for providing corresponding diagnosis and treatment measures based on the diagnosis results, thereby performing batch processing on batches of volunteers or patients to obtain corresponding diagnosis and treatment measures, thereby improving the work efficiency of clinical examinations in the radiology department.
[0086] Example 2
[0087] Based on the same inventive concept, the present invention also provides a radiology follow-up management method, such as Figure 2 Shown, including:
[0088] S201, collecting basic information of the user; based on the basic information, including medical information, confirming the user's role information;
[0089] S202, assigning different user questionnaire reports based on the user's role information and condition information, and collecting questionnaire survey results;
[0090] S203, collecting the user's imaging report;
[0091] S204, evaluating the user's questionnaire level based on the questionnaire survey results;
[0092] S205, generating a corresponding diagnosis result based on the questionnaire level and the imaging report;
[0093] S206: Providing corresponding diagnosis and treatment measures based on the diagnosis result.
[0094] In an optional embodiment, the method further includes:
[0095] Collect users' clinical test results at different follow-up times;
[0096] The user's recovery status is analyzed based on the user's clinical test results at different follow-up times.
[0097] In an optional embodiment, analyzing the user's recovery status based on the user's clinical test results at different follow-up times includes:
[0098] Based on the clinical test results of the user at different follow-up times, comparing the clinical test results at adjacent follow-up times to determine the difference in clinical test results;
[0099] Based on the differences, the user's recovery status is analyzed.
[0100] In an optional embodiment, the role information includes: volunteers and patients;
[0101] The user questionnaire survey report is a questionnaire survey report for any one or more of the user's cognitive level, memory level, and pain level.
[0102] In an optional implementation, S204 includes:
[0103] Based on the questionnaire survey results, the user's cognition is evaluated according to the cognitive assessment scale, the user's memory strength is evaluated according to the memory assessment scale, and the user's pain level is evaluated according to the pain assessment scale.
[0104] In an optional embodiment, the imaging report is any one or more of the following:
[0105] DR, CT and MRI.
[0106] In an optional embodiment, the method further includes:
[0107] Provide recruitment topics for different clinical studies for users to choose from.
[0108] Example 3
[0109] Based on the same inventive concept, an embodiment of the present invention provides a computer-readable storage medium having a computer program stored thereon, which implements the steps of the above-mentioned radiology department follow-up management method when executed by a processor.
[0110] The algorithm and display provided herein are not inherently related to any particular computer, virtual system or other device. Various general-purpose systems can also be used together with the teachings based on this. According to the above description, it is obvious that the structure required for constructing this type of system. In addition, the present invention is not directed to any specific programming language. It should be understood that various programming languages can be utilized to realize the content of the present invention described herein, and the above description of specific languages is for the purpose of disclosing the best mode of the present invention.
[0111] In the description provided herein, numerous specific details are described. However, it is understood that embodiments of the present invention may be practiced without these specific details. In some instances, well-known methods, structures, and techniques are not shown in detail so as not to obscure the understanding of this description.
[0112] Similarly, it should be understood that in order to streamline the present invention and aid in understanding one or more of the various inventive aspects, in the above description of exemplary embodiments of the present invention, various features of the present invention are sometimes grouped together into a single embodiment, figure, or description thereof. However, this disclosed method should not be interpreted as reflecting an intention that the claimed invention requires more features than those explicitly recited in each embodiment. Rather, as reflected in each embodiment, inventive aspects lie in fewer than all the features of the individual embodiments previously disclosed. Accordingly, the claims that follow the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of the present invention.
[0113] Those skilled in the art will appreciate that the modules in the devices in the embodiments may be adaptively changed and arranged in one or more devices different from the embodiments. The modules or units or components in the embodiments may be combined into one module or unit or component, and in addition may be divided into multiple submodules or subunits or subcomponents. All features disclosed in this specification (including the accompanying claims, abstracts and drawings) and all processes or units of any method or device disclosed herein may be combined in any combination, except that at least some of such features and / or processes or units are mutually exclusive. Unless expressly stated otherwise, each feature disclosed in this specification (including the accompanying claims, abstracts and drawings) may be replaced by an alternative feature providing the same, equivalent or similar purpose.
[0114] Furthermore, those skilled in the art will appreciate that although some embodiments herein include certain features included in other embodiments but not other features, combinations of features from different embodiments are intended to be within the scope of the present invention and to form different embodiments. For example, in a specific embodiment, any one of the claimed embodiments may be used in any combination.
[0115] The various component embodiments of the present invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that a microprocessor or digital signal processor (DSP) may be used in practice to implement some or all of the functions of some or all of the components of the radiology follow-up management system according to an embodiment of the present invention. The present invention may also be implemented as an apparatus or device program (e.g., a computer program and a computer program product) for executing part or all of the methods described herein. Such a program for implementing the present invention may be stored on a computer-readable medium, or may be in the form of one or more signals. Such a signal may be downloaded from an Internet website, or provided on a carrier signal, or provided in any other form.
[0116] It should be noted that the above embodiments illustrate rather than limit the invention, and that those skilled in the art may devise alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between brackets should not be construed as limiting the claims. The word "comprising" does not exclude the presence of elements or steps not listed in the claims. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The present invention may be implemented by means of hardware comprising several different elements and by means of appropriately programmed computers. In a unit claim enumerating several means, several of these means may be embodied by the same item of hardware. The use of the words first, second, and third etc. does not indicate any order. These words may be interpreted as names.
Claims
1. A radiology follow-up management system, characterized in that: include: A role confirmation module is used to collect basic information of the user, including medical condition information; Based on the basic information, confirm the user's role information; The questionnaire management module is used to assign different user questionnaire reports based on the user's role information and condition information, and collect the questionnaire results; Radiological data management module, used to collect users' radiological reports; An evaluation module, configured to evaluate the user's questionnaire level based on the questionnaire survey results; A diagnosis module, configured to generate a corresponding diagnosis result based on the questionnaire level and the imaging report; The diagnosis and treatment measure providing module is used to provide corresponding diagnosis and treatment measures based on the diagnosis results.
2. The system according to claim 1, wherein Also includes: Clinical information management module, used to collect users' clinical test results at different follow-up times; The analysis and processing module is used to analyze the user's recovery status based on the clinical test results of the user at different follow-up times.
3. The system according to claim 2, wherein: The analysis and processing module is used to: Based on the clinical test results of the user at different follow-up times, comparing the clinical test results at adjacent follow-up times to determine the difference in clinical test results; Based on the differences, the user's recovery status is analyzed.
4. The system according to claim 1, wherein: The role information includes: volunteers and patients; The user questionnaire survey report is a questionnaire survey report for any one or more of the user's cognitive level, memory level, and pain level.
5. The system according to claim 4, wherein: The evaluation module is used to: Based on the questionnaire survey results, the user's cognition is evaluated according to the cognitive assessment scale, the user's memory strength is evaluated according to the memory assessment scale, and the user's pain level is evaluated according to the pain assessment scale.
6. The system according to claim 1, wherein: The imaging report is any one or more of the following: DR, CT and MRI.
7. The system according to claim 1, wherein: Also includes: The volunteer recruitment module is used to provide recruitment topics for different clinical studies for users to choose from.
8. A radiology follow-up management method, characterized in that: include: Collecting basic information of the user, including medical condition information; Based on the basic information, confirm the user's role information; Based on the user's role information and condition information, different user questionnaire reports are assigned and the questionnaire results are collected; Collect users' imaging reports; Based on the questionnaire survey results, evaluating the user's questionnaire level; generating a corresponding diagnosis result based on the questionnaire level and the imaging report; Based on the diagnosis results, corresponding diagnosis and treatment measures are provided.
9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the method according to claim 8 is implemented.