Physical examination item guiding system for triage physical examination
By designing a physical examination project guidance and guidance system for triage physical examination, the problem of insufficient accuracy of the physical examination project framing in the existing technology is solved, and the accurate classification and calculation of user information is realized, and more accurate physical examination project suggestions are provided.
Patent Information
- Application Number
- CN202411766811.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-04
- Publication Date
- 2025-03-25
AI Technical Summary
The lack of high accuracy on the framed side of the physical examination items by the existing triage system, resulting in the inability to provide more accurate guidance, especially for individuals who need to follow up and analyze the physical examination items for a long time.
A physical examination project guidance system for triage physical examination is designed, including a data acquisition module, a data analysis module, a data calculation module, a data output module and a data application unit. The system provides personalized physical examination suggestions by collecting physical indicator information, classifying and calculating data, arranging the results with the highest similarity, and arranging the important levels of physical examination items based on the results.
It realizes accurate classification and calculation of user information, improves the system's calculation accuracy, and provides more accurate important level arrangement and personalized suggestions for physical examination items to meet the needs of long-term tracking and analysis of physical examination items.
Smart Images

Figure CN119694471A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of big data medical technology, and in particular to a physical examination item guidance system for triage physical examination. Background Art
[0002] With the rapid development of Internet medical care, telemedicine, as an important application, has developed rapidly. In many applications of telemedicine, such as remote consultation and remote outpatient clinic, it is necessary to manually select the corresponding department. For applicants of telemedicine services, due to the different department settings between different hospitals, after submitting the remote electronic medical records, they usually need to manually select the relevant department based on experience, and wrong selections often occur.
[0003] With the rapid development of artificial intelligence technology, intelligent triage methods have become a research hotspot in the medical field. Intelligent triage methods mainly use advanced technologies such as machine learning and natural language processing to automatically judge and identify patients' symptoms, thereby achieving classification and triage of patients and assigning them to appropriate clinics and doctors. This method aims to improve the efficiency and accuracy of diagnosis, reduce the workload of doctors, and enable patients to receive faster medical assistance.
[0004] The triage systems currently on the market do not have high accuracy in defining physical examination items. In order to enable people who need to pay long-term attention to their physical condition to receive more accurate guidance and suggestions, a system algorithm for long-term tracking and analysis of physical examination items and giving suggestions is very important. Summary of the invention
[0005] The purpose of the present invention is to provide a physical examination item guidance system for triage physical examination to solve the problems existing in the above-mentioned prior art.
[0006] The above technical objectives of the present invention are achieved through the following technical solutions:
[0007] A medical examination item guidance system for triage medical examination, comprising:
[0008] A data collection module, wherein the data collection module is used to collect body index information;
[0009] A data analysis module, the data analysis module is used to classify data according to physical indicator information;
[0010] A data calculation module, the data calculation module is used to calculate multiple similarity results for the data in each category according to the classification data provided by the data analysis module;
[0011] A data output module, the data output module is used to perform similarity arrangement according to a plurality of similar results and output the result with the highest similarity;
[0012] and a data application unit, wherein the data application unit is used to arrange the importance levels of the physical examination items according to the results of the data output module.
[0013] By adopting the above technical solution, the data collection module can collect user information, and then analyze the collected information through the data analysis module to achieve accurate classification of user information.
[0014] In a further embodiment, the data analysis module includes a historical data recording unit, a log recording unit, a data encryption unit and a data type judgment unit; the historical data recording unit is used to record sample data, and the historical data recording unit is used to record patient physical data; the log recording unit is used to record patient operation records; the data encryption unit is used to encrypt and store user information; the data type judgment unit is used to classify according to data units.
[0015] By adopting the above technical solution, the data analysis module classifies, summarizes, organizes and stores the data according to the meaning represented by different data units, which facilitates the data calculation module to realize fast data processing and calculation, thereby organizing the messy user information into data that is easy for the system to identify, thereby increasing the accuracy of the system's calculations.
[0016] In a further embodiment, the data calculation module includes a weight calculation unit, a weight statistics unit and an interference elimination unit. The weight calculation unit is used to calculate the weight value of each type of data, the weight statistics unit is used to count the weight values of all types of data and obtain the variance value through a variance function, and the interference elimination unit is used to eliminate interference data based on historical data.
[0017] By adopting the above technical solution, real-time updating and statistics of patient data can be achieved, and more accurate calculation results can be given in combination with historical data.
[0018] In a further embodiment, the data output module is used to output the best selection results in descending order according to the user selection.
[0019] In a further embodiment, the data application unit includes a user data iteration center, a historical result statistics center and a result feedback center. The user data iteration center is used to perform algorithm optimization iterations combined with user habits based on the user's historical data, the historical result statistics center is used to count the user's historical results and the accuracy of the results, and the result feedback center is used to count the deviation of the calculation results and feed back to the user data iteration center to form an iteration.
[0020] In a further embodiment, the data encryption unit includes an encryption channel establishment center, a mobile key, a network protection center and a data authority establishment center. The encryption channel establishment center is used to establish a transmission encryption channel between the user terminal and the cloud platform, and the encryption channel establishment center is used to establish a transmission encryption channel between the viewing terminal and the cloud platform. The data authority establishment center is used to automatically divide the permissions of user information according to instructions.
[0021] In a further embodiment, the data collection module is used to collect user cases.
[0022] In a further embodiment, the data acquisition module and the data analysis module are connected via a cloud platform wired signal.
[0023] In summary, the present invention has the following beneficial effects:
[0024] 1. The data collection module can be used to collect user information, and then the collected information can be analyzed through the data analysis module to achieve the effect of accurately classifying user information. The data analysis module classifies, summarizes, and stores data according to the meaning represented by different data units, which is convenient for the data calculation module to quickly conduct data calculations, so as to organize the messy user information into data that is easy for the system to identify, thereby increasing the accuracy of the system's calculations. BRIEF DESCRIPTION OF THE DRAWINGS
[0025] Figure 1 It is the overall flow chart of the present invention;
[0026] Figure 2 is a flowchart of a data encryption unit of the present invention;
[0027] Figure 3 It is a flow chart of the data analysis module of the present invention. DETAILED DESCRIPTION
[0028] The present invention is further described in detail below in conjunction with the accompanying drawings.
[0029] The same parts are denoted by the same reference numerals. It should be noted that the words "front", "rear", "left", "right", "upper" and "lower" used in the following description refer to the attached Figure 1In the description of this specification, the words "bottom" and "top", "inside" and "outside" refer to directions toward or away from a particular component geometry, respectively. In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of this specification, the meaning of "multiple" is two or more, unless otherwise clearly and specifically defined.
[0030] Embodiment 1:
[0031] like Figure 1-Figure 3 As shown, a physical examination item guidance system for triage physical examination, a data collection module, the data collection module is used to collect physical index information, and the data collection module is used to collect user cases;
[0032] Data analysis module, the data analysis module is used to classify data according to physical indicator information, the data analysis module includes a historical data recording unit, a log recording unit, a data encryption unit and a data type judgment unit; the historical data recording unit is used to record sample data, and the historical data recording unit is used to record patient physical data; the log recording unit is used to record patient operation records; the data encryption unit is used to encrypt and store user information; the data type judgment unit is used to classify according to data units, the data encryption unit includes an encryption channel establishment center, a mobile key, a network protection center and a data authority establishment center, the encryption channel establishment center is used to establish a transmission encryption channel between the user terminal and the cloud platform, and the encryption channel establishment center is used to establish a transmission encryption channel between the viewing terminal and the cloud platform, the data authority establishment center is used to automatically divide the user information according to instructions, and the data acquisition module and the data analysis module are connected through a wired signal of the cloud platform;
[0033] Data calculation module, the data calculation module is used to calculate multiple similar results for each data in the classification according to the classification data provided by the data analysis module. The data calculation module includes a weight calculation unit, a weight statistics unit and an interference elimination unit. The weight calculation unit is used to calculate the weight value of each type of data. The weight statistics unit is used to count the weight values of all types of data and obtain the variance value through the variance function. The interference elimination unit is used to eliminate interference data according to historical data;
[0034] A data output module, the data output module is used to arrange the similarity according to multiple similar results and output the result with the highest similarity, and the data output module is used to output the best selection result in descending order according to the user's selection;
[0035] and a data application unit, the data application unit is used to arrange the importance of physical examination items according to the results of the data output module, the data application unit includes a user data iteration center, a historical result statistics center and a result feedback center, the user data iteration center is used to perform algorithm optimization iteration based on the user's historical data in combination with the user's habits, the historical result statistics center is used to count the user's historical results and the accuracy of the results, and the result feedback center is used to count the deviation of the calculated results and feed it back to the user data iteration center to form an iteration.
[0036] Specific implementation process: In modern medicine, health problems are mainly divided into seven categories, which are blood sugar problems, blood pressure problems, uric acid problems, Hashimoto's hypothyroidism, pulmonary nodules, sleep problems and weight management. Blood sugar problems are divided into thirst, fatigue, polyuria, decreased vision, skin infection and weight loss due to excessive eating. These problems can be quantified through indicators, such as thirst. In summary, there are seven problems in total, namely diabetes, hypertension, hyperglycemia, Hashimoto's hypothyroidism, pulmonary nodules, sleep disorders and none of the above. These seven problems are marked as questions 1-7 in order. When using this system, if the answer to question one is 7, you need to complete all the first-level questions to confirm whether there are any unknown health problems, and confirm the direction of the health problem according to the total score of the weight value of each question. And ask the corresponding second-level questions for each direction with health risks, and the weight of each second-level question is consistent with algorithm C;
[0037] If the answer to question 1 is any one or more of 1-6, first complete the first-level questions corresponding to the unselected health questions to avoid missing unknown health risks, and then directly ask the second-level questions corresponding to each health question selected in question 1. The weight of each second-level question is consistent with algorithm C;
[0038] If the answer to question 1 is 7, based on the health risk obtained by algorithm A, a list of physical examination items corresponding to each question direction is given, and compared with the physical examination items in the physical examination package, the items not included in the package are listed as a recommendation for their personalized self-paid physical examination plan. The list of personalized physical examination items is arranged in order of high to low health risk, and the amount and significance of the additional examination (the value of the additional test, the risk of not adding it) are given;
[0039] If the answer to question one is any one or more of 1-6, set the priority order according to the total weight score corresponding to the answer to the second-level question. If there is an obvious risk in the first-level question (determined by the total weight score of the first-level question), this risk also needs to be included. According to the above-aggregated health problem risks, give a list of physical examination items corresponding to each problem direction, compare the physical examination items in the person's physical examination package, and list the items not included in the package as a recommendation for their personalized self-paid physical examination plan. Arrange the order of the list of personalized physical examination items according to the level of health problem risk, and give the amount and the significance of the additional test (the value of the additional test, the risk of not adding it).
[0040] In the embodiments disclosed in the present invention, the terms "installed", "connected", "connected", "fixed" and the like should be understood in a broad sense. For example, "connected" can be a fixed connection, a detachable connection, or an integral connection; "connected" can be a direct connection or an indirect connection through an intermediate medium. For those of ordinary skill in the art, the specific meanings of the above terms in the embodiments disclosed in the present invention can be understood according to specific circumstances.
[0041] This specific embodiment is merely an explanation of the present invention and is not a limitation of the present invention. After reading this specification, those skilled in the art may make non-creative modifications to the present embodiment as needed. However, as long as they are within the scope of the claims of the present invention, they are protected by the patent law.
Claims
1. A medical examination item guidance system for triage medical examination, characterized in that: include: A data collection module, wherein the data collection module is used to collect body index information; A data analysis module, the data analysis module is used to classify data according to physical indicator information; A data calculation module, the data calculation module is used to calculate multiple similarity results for the data in each category according to the classification data provided by the data analysis module; A data output module, the data output module is used to perform similarity arrangement according to a plurality of similar results and output the result with the highest similarity; and a data application unit, wherein the data application unit is used to arrange the importance levels of the physical examination items according to the results of the data output module.
2. A medical examination item guidance system for triage medical examination according to claim 1, characterized in that: The data analysis module includes a historical data recording unit, a log recording unit, a data encryption unit and a data type judgment unit; the historical data recording unit is used to record sample data, and the historical data recording unit is used to record patient physical data; the log recording unit is used to record patient operation records; the data encryption unit is used to encrypt and store user information; the data type judgment unit is used to classify according to data units.
3. A medical examination item guidance system for triage medical examination according to claim 1, characterized in that: The data calculation module includes a weight calculation unit, a weight statistics unit and an interference elimination unit. The weight calculation unit is used to calculate the weight value of each type of data, the weight statistics unit is used to count the weight values of all types of data and obtain the variance value through a variance function, and the interference elimination unit is used to eliminate interference data based on historical data.
4. A medical examination item guidance system for triage medical examination according to claim 1, characterized in that: The data output module is used to output the best selection result in descending order according to the user's selection.
5. A medical examination item guidance system for triage medical examination according to claim 1, characterized in that: The data application unit includes a user data iteration center, a historical result statistics center and a result feedback center. The user data iteration center is used to perform algorithm optimization iterations combined with user habits based on the user's historical data, the historical result statistics center is used to count the user's historical results and the accuracy of the results, and the result feedback center is used to count the deviation of the calculation results and feed back to the user data iteration center to form an iteration.
6. A medical examination item guidance system for triage medical examination according to claim 2, characterized in that: The data encryption unit includes an encryption channel establishment center, a mobile key, a network protection center and a data authority establishment center. The encryption channel establishment center is used to establish a transmission encryption channel between the user terminal and the cloud platform, and the encryption channel establishment center is used to establish a transmission encryption channel between the viewing terminal and the cloud platform. The data authority establishment center is used to automatically divide the permissions of user information according to instructions.
7. A medical examination item guidance system for triage medical examination according to claim 1, characterized in that: The data collection module is used to collect user cases.
8. A medical examination item guidance system for triage medical examination according to claim 1, characterized in that: The data acquisition module is connected to the data analysis module via a cloud platform wired signal.