Cancer early warning management method and system based on physical examination report
Through cancer warning management methods and systems based on physical examination reports, important positive results are pushed to the doctor's end, and the abnormality is judged using convolutional neural network, which solves the problem of insufficient management after physical examination, realizes timely diagnosis and treatment, saves medical resources, and improves Physical examination service efficiency.
Patent Information
- Application Number
- CN202411134784.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-08-19
- Publication Date
- 2024-12-13
AI Technical Summary
The existing physical examination centers focus on physical examinations, but lack post-examination management, which makes it difficult for the subject to identify important abnormal results, which may lead to delays in diagnosis and treatment.
Provide a cancer warning management method and system based on physical examination reports. By obtaining important positive results data in the physical examination report, it is pushed to the doctor to decide whether a specialist consultation is needed, and formulate the next diagnosis and treatment plan based on the suggestions of the specialist, using the volume Ji neural network judges the abnormality of physical examination reports and achieves efficient management of cancer indicators.
Timely discover abnormalities in the physical examination report, avoid diagnosis delays, save medical resources, and improve the efficiency and quality of physical examination services.
Smart Images
Figure CN119132593A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of health management information technology, and in particular to a cancer early warning management method and system based on physical examination reports. Background Art
[0002] With the improvement of living standards, people pay more and more attention to health and physical examinations. At present, most physical examination centers (health management centers) only focus on physical examinations, not post-examination management. The examinees often lack professional medical knowledge and cannot distinguish the key contents of the physical examination report, such as which abnormal results should be treated in time and which abnormal results can be re-examined later. This may eventually lead to the examinees not being diagnosed and treated in time, thus delaying their condition. Summary of the invention
[0003] The purpose of the present invention is to overcome the above-mentioned deficiencies in the prior art and to provide a cancer early warning management method and system based on physical examination reports, which can timely detect the condition of the examinee and provide timely treatment to avoid delaying the condition.
[0004] In order to achieve the above-mentioned object of the invention, the present invention provides the following technical solutions:
[0005] A cancer early warning system management method based on physical examination reports comprises the following steps:
[0006] Obtain important positive result data information of the subject's related cancer from the patient's physical examination report. If the important positive result data information in the subject's physical examination report reaches or exceeds a preset value, i.e., a warning value, the subject's report is pushed to the doctor's end;
[0007] The first-visit doctor on the doctor's side decides whether a specialist consultation is necessary based on the important positive result information, questionnaire information, and historical report information;
[0008] If a specialist consultation is required, the specialist will consult with the patient by phone or in person to decide on the next treatment plan;
[0009] If a specialist consultation is not required, the first doctor will decide the next review time and notify the patient in person, by phone or text message, informing him / her of the importance and time of the review, and recording it in the system, presetting the next review and follow-up time. By the time of the next review, the system will automatically send the patient's information and enter the next cycle to achieve efficient, closed-loop management of the patient's important positive results. Further, the specific content of the next diagnosis and treatment plan is determined as follows:
[0010] If the specialist recommends puncture or surgery, the patient will be directly transferred to the corresponding specialist for diagnosis and treatment;
[0011] If the specialist recommends medication or a follow-up examination, the specialist will prescribe the medicine and determine the next follow-up examination date.
[0012] Furthermore, the important positive results of the related cancers are important positive results of lung nodules, breast nodules and thyroid nodules. Important positive results of lung nodules include physical examination report prompts: lung nodules ≥ 8mm, indicating lung cancer or lung tumors, etc. Important positive results of breast nodules include physical examination report prompts: breast nodules BI-RADS classification ≥ 4a. Important positive results of thyroid nodules include physical examination report prompts: thyroid nodules TI-RADS classification ≥ 4a.
[0013] Furthermore, obtaining important positive result information related to cancer from the physical examination report includes the following steps:
[0014] Obtain text information and numerical information in the physical examination report through the corresponding module of cancer early warning in the physical examination system;
[0015] The important positive results of the relevant cancer are matched with textual and numerical information through algorithmic matching of text or numerical values.
[0016] Furthermore, a sample set of important positive results of related cancers is constructed, and then an important positive detection model of related cancers is established based on a convolutional neural network, and then the sample set of important positive results of related cancers is imported into the important positive detection model and trained, thereby achieving accuracy calibration of the model;
[0017] Then, the text information and numerical information of the relevant cancer in the physical examination report are imported into the important positive detection model of the relevant cancer, so as to determine whether the physical examination report is abnormal; the sample set is the important positive result text information or numerical information of the relevant cancer.
[0018] Another aspect of the present invention provides a cancer early warning system based on a physical examination report, which is used to implement the above-mentioned cancer early warning system management method based on a physical examination report, comprising:
[0019] A physical examination report analysis platform, which is used to extract relevant cancer data from the physical examination report and determine whether the patient's relevant cancer indicators are abnormal, and then transmit the physical examination information of patients whose relevant cancer indicators reach or exceed the warning value;
[0020] A first-visit doctor platform, which is used to receive the physical examination information of patients with abnormal cancer indicators transmitted by the physical examination report analysis platform;
[0021] The specialist doctor platform is used to receive the physical examination information of patients that reaches or exceeds the warning value transmitted by the first-visit doctor platform.
[0022] Compared with the prior art, the present invention has the following advantages and beneficial effects:
[0023] By timely evaluating the patient's physical examination report, abnormalities in the physical examination report are discovered, and the abnormal physical examination report is sent to the doctor side. Then the first doctor on the doctor side makes a judgment on the patient's condition. If a specialist consultation is required, it is forwarded to a specialist for processing. The present invention can timely discover the patient's condition and treat it in time to avoid delaying the condition, and it can also save medical resources. BRIEF DESCRIPTION OF THE DRAWINGS
[0024] Figure 1 It is a schematic diagram of the process of the present invention. DETAILED DESCRIPTION
[0025] The present invention is further described in detail below in conjunction with test examples and specific implementation methods. However, this should not be understood as the scope of the above subject matter of the present invention being limited to the following embodiments, and all technologies realized based on the content of the present invention belong to the scope of the present invention.
[0026] This embodiment provides a cancer early warning system management method based on physical examination reports, such as Figure 1 As shown, the following steps are included:
[0027] Obtain important positive result data information of the subject's related cancer from the patient's physical examination report. If the important positive result data information in the subject's physical examination report reaches or exceeds a preset value, i.e., a warning value, the subject's report is pushed to the doctor's end;
[0028] The first-visit doctor on the doctor's side decides whether a specialist consultation is necessary based on the important positive result information, questionnaire information, and historical report information;
[0029] If a specialist consultation is required, the specialist will consult with the patient by phone or in person to decide on the next treatment plan;
[0030] If a specialist consultation is not required, the first doctor will decide the next review time and notify the examinee in person, by phone or text message, informing him of the importance and time of the review, and recording it in the system, presetting the next review and follow-up time. By the time of the next review, the system will automatically send the examinee's information and enter the next cycle to achieve efficient, closed-loop management of the examinee's important positive results.
[0031] By timely evaluating the patient's physical examination report, abnormalities in the physical examination report are discovered, and the physical examination report that reaches or exceeds the warning value is sent to the doctor side. Then the first doctor on the doctor side judges the patient's condition. If a specialist consultation is required, it is forwarded to a specialist for processing and the patient's condition is notified in time. The present invention can timely discover the patient's condition and treat it in time to avoid delaying the condition, and it can also save medical resources.
[0032] The above embodiment is further optimized to determine the specific content of the next diagnosis and treatment plan:
[0033] If the specialist recommends puncture or surgery, the patient will be directly transferred to the corresponding specialist for diagnosis and treatment;
[0034] If the specialist recommends medication or a follow-up examination, the specialist will prescribe the medicine and determine the next follow-up examination date.
[0035] The above embodiment is further optimized, and the important positive results of the related cancers are important positive results of lung nodules, breast nodules and thyroid nodules. The important positive results of lung nodules include the following: nodules ≥ 8 mm, indicating lung cancer or lung tumors, etc. The important positive results of breast nodules include the following: breast nodule BI-RADS classification ≥ 4a. The important positive results of thyroid nodules include the following: thyroid nodule TI-RADS classification ≥ 4a.
[0036] Further optimizing the above embodiment, obtaining important positive result information related to cancer from the physical examination report includes the following steps:
[0037] Obtain text information and numerical information in the physical examination report through the corresponding module of cancer early warning in the physical examination system;
[0038] The important positive results of the relevant cancer are matched with textual and numerical information through algorithmic matching of text or numerical values.
[0039] The above embodiment is further optimized, a sample set of important positive results of relevant cancers is constructed, and then an important positive detection model of relevant cancers is established based on a convolutional neural network, and then the sample set of important positive results of relevant cancers is imported into the important positive detection model and trained, thereby achieving accuracy calibration of the model;
[0040] Then, the text information and numerical information of the relevant cancer in the physical examination report are imported into the important positive detection model of the relevant cancer, so as to determine whether the physical examination report is abnormal; the sample set is the important positive result text information or numerical information of the relevant cancer.
[0041] Another aspect of the present invention provides a cancer early warning system based on a physical examination report, which is used to implement the above-mentioned cancer early warning system management method based on a physical examination report, comprising:
[0042] A physical examination report analysis platform, which is used to extract relevant cancer data from the physical examination report and determine whether the patient's relevant cancer indicators are abnormal, and then transmit the physical examination information of patients whose relevant cancer indicators reach or exceed the warning value; wherein, the physical examination report analysis platform has multiple physical examination report input ports, so that multiple patients can be supported for testing at the same time.
[0043] The first-visit doctor-side platform is used to receive the physical examination information of patients whose relevant cancer indicators reach or exceed the warning value transmitted by the physical examination report analysis platform; wherein the first-visit doctor-side platform has multiple doctor ports.
[0044] The specialist doctor platform is used to receive the patient physical examination information that reaches or exceeds the warning value transmitted by the first-visit doctor platform, wherein the specialist doctor platform has multiple specialist diagnosis ports responsible for different cancers.
[0045] Take the three most common types of nodules in physical examinations as an example (lung nodules, breast nodules, and thyroid nodules). These three types of nodules have a high diagnosis rate and multiple grades. Without a medical professional background, it is difficult to distinguish the early warning characteristics of cancer. After receiving the physical examination report, the examinee cannot understand the professional vocabulary and cannot identify the early warning characteristics of cancer; at the same time, it is time-consuming and labor-intensive to go to various departments to register for medical treatment. Therefore, many examinees ignore the physical examination report. When the disease progresses and symptoms appear, it is too late to go to the doctor, and the purpose of early diagnosis and early treatment of the physical examination is not achieved. The present invention identifies important positive results by the system and issues a warning, pushes it to the doctor, and the doctor makes professional suggestions and conducts one-to-one diagnosis and treatment guidance, avoiding missed diagnosis due to the examinee's inability to identify early cancer warning signals; at the same time, this system and method is equivalent to a green medical channel, saving the examinee's own registration cost and time. At the level of hospitals or physical examination institutions, this system and method can also improve the efficiency and quality of their physical examination services, thereby expanding their influence.
[0046] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.
Claims
1. A cancer early warning system management method based on physical examination reports, It is characterized in that The steps include: Obtain important positive result data information of the subject's related cancer from the patient's physical examination report. If the important positive result data information in the subject's physical examination report reaches or exceeds a preset value, i.e., a warning value, the subject's report is pushed to the doctor's end; The first-visit doctor on the doctor's side decides whether a specialist consultation is necessary based on the important positive result information, questionnaire information, and historical report information; If a specialist consultation is required, the specialist will consult with the patient by phone or in person to decide on the next treatment plan; If consultation with a specialist is not required, the first attending physician will decide the next follow-up examination time and notify the patient in person, by phone or text message, informing him / her of the importance and time of the follow-up examination. The information will be recorded in the system and the next follow-up and follow-up time will be preset. By the next follow-up time, the system will automatically send the patient's information and enter the next cycle to achieve efficient, closed-loop management of the patient's important positive results.
2. A cancer early warning system management method based on physical examination reports according to claim 1, It is characterized in that The specific contents of the next treatment plan are as follows: If the specialist recommends puncture or surgery, the patient will be directly transferred to the corresponding specialist for diagnosis and treatment; If the specialist recommends medication or a follow-up examination, the specialist will prescribe the medicine and determine the next follow-up examination date.
3. According to claim 1, a cancer early warning system management method based on physical examination reports, It is characterized in that The important positive results of the related cancers are important positive results of lung nodules, breast nodules and thyroid nodules.
4. According to claim 3, a cancer early warning system management method based on physical examination reports, It is characterized in that Important positive results of lung nodules include those prompted in the physical examination report: lung nodules ≥8mm, indicating lung cancer or lung tumors; important positive results of breast nodules include those prompted in the physical examination report: breast nodule BI-RADS classification ≥4a; important positive results of thyroid nodules include those prompted in the physical examination report: thyroid nodule TI-RADS classification ≥4a.
5. According to claim 3, a cancer early warning system management method based on physical examination reports, It is characterized in that The steps to obtain important positive results related to cancer from the physical examination report include the following: Obtain text information and numerical information in the physical examination report through the corresponding module of cancer early warning in the physical examination system; The important positive results of the relevant cancer are then matched with the numerical information through a text or numerical algorithm.
6. According to claim 4, a cancer early warning system management method based on physical examination reports, It is characterized in that Constructing a sample set of important positive results of relevant cancers, then establishing an important positive detection model of relevant cancers based on a convolutional neural network, and then importing the sample set of important positive results of relevant cancers into the important positive detection model and training it, so as to achieve accuracy calibration of the model; Then, the text information and numerical information of the relevant cancer in the physical examination report are imported into the important positive detection model of the relevant cancer, so as to determine whether the physical examination report is abnormal; the sample set is the important positive result text information or numerical information of the relevant cancer.
7. A cancer early warning system based on a physical examination report, used to implement the cancer early warning system management method based on a physical examination report according to any one of claims 1 to 6, It is characterized in that include: A physical examination report analysis platform, which is used to extract relevant cancer data from the physical examination report and determine whether the patient's relevant cancer indicators are abnormal, and then transmit the physical examination information of patients whose relevant cancer indicators reach or exceed the warning value; A first-visit doctor platform, which is used to receive physical examination information of patients whose relevant cancer indicators reach or exceed warning values transmitted by the physical examination report analysis platform; The specialist doctor platform is used to receive the physical examination information of patients that reaches or exceeds the warning value transmitted by the first-visit doctor platform.