Internet-based self-service physical examination system and method

Abstract

The invention relates to the technical field of self-service physical examination, and particularly discloses a self-service physical examination system and method based on the Internet. Comprising a personnel basic information acquisition module, a man-machine inquiry acquisition analysis module, a health risk degree analysis module, a first physical examination item recommendation module, a second physical examination item recommendation module, a physical examination item display analysis module, a display terminal and a system storage library. According to the invention, based on the first physical examination item recommendation set corresponding to the target person, the medical history data, the physical examination information and the historical physical examination data corresponding to the target person are further analyzed, so that the accuracy and reliability of physical examination item recommendation are improved, and the targeted matching requirements of the physical examination items of the target person are met; according to the method and the system, medical resources can be allocated more accurately, limited resources can be used for examination and diagnosis which are really needed more effectively, target personnel can obtain physical examination services and related information more conveniently, and the accessibility of the services is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of self-service physical examination, and specifically to an Internet-based self-service physical examination system and method. Background Art

[0002] In the fast-paced modern life, people are facing more and more health challenges, such as high work pressure, irregular life, environmental pollution, etc. These factors all increase the risk of diseases. Early detection and prevention of diseases are crucial for improving the treatment effect, reducing medical costs, and enhancing the quality of life. In view of this, the self-service physical examination system has emerged.

[0003] The existing self-service physical examination systems mainly provide convenient experience services for users through online means, among which the physical examination items

[0004] When the current self-service physical examination system recommends physical examination items, it usually recommends physical examination items for users based on the basic information of users (such as age, gender, occupation, etc.), without deeply understanding the family medical history, past medical history, living habits (such as eating habits, exercise habits, sleep conditions, etc.) of users, resulting in the recommended physical examination items lacking pertinence and comprehensiveness and being unable to meet the personalized needs of users.

[0005] When the current self-service physical examination system recommends physical examination items, it lacks the combined analysis of historical physical examination data and does not reasonably combine and recommend physical examination items according to the disease risk degree of users, resulting in the recommended physical examination items not being accurate enough.

[0006] To solve the above defects, a technical solution is provided now. Summary of the Invention

[0007] The purpose of the present invention is to provide an Internet-based self-service physical examination system and method to solve the problems raised in the above background.

[0008] The purpose of the present invention can be achieved through the following technical solutions:

[0009] The first aspect of the present invention provides an Internet-based self-service physical examination system, including:

[0010] A personnel basic information acquisition module, configured to acquire the basic information corresponding to the target personnel to obtain the basic information corresponding to the target personnel.

[0011] The human-machine inquiry acquisition and analysis module includes a human-machine inquiry acquisition unit, a life health analysis unit, and an occupational health analysis unit. The human-machine inquiry acquisition unit is used to obtain the diet data, exercise data, sleep data, work data, and medical history data of the target person for a corresponding set period, so as to obtain the diet data, exercise data, sleep data, work data, and medical history data of the target person for the corresponding set period. The life health analysis unit is used to analyze the life health assessment index corresponding to the target person to obtain the life health assessment index corresponding to the target person. The occupational health analysis unit is used to analyze the occupational health impact index corresponding to the target person to obtain the occupational health impact index corresponding to the target person.

[0012] Preferably, the analysis of the life health assessment index corresponding to the target person is carried out in the following specific analysis method:

[0013] Extract the intake Q of various types of food of the target person within the corresponding set period from the diet data of the target person for the corresponding set period i , where i represents the number of various types of food, i = 1, 2,...., m, and m represents the total number of food type numbers. Extract the exercise duration T of each exercise type of the target person from the exercise data of the target person for the corresponding set period 1 j , and the average daily step count B. Here, j represents the number of each exercise type, j = 1, 2,...., n, and n represents the total number of exercise type numbers. Extract the average daily sleep duration T of the target person from the sleep data of the target person for the corresponding set period 2 , and the sleep quality SZ;

[0014] Extract the height, age, and weight of the target person from the basic information of the target person, perform normalization processing and take their numerical values, which are respectively denoted as SG, NL, and TZ. Use the formula ε = SG×a1 + NL×a2 + TZ×a3 to obtain the basic information assessment index ε of the target person. Here, a1, a2, and a3 respectively represent the weight factors corresponding to the set height, age, and weight;

[0015] Extract the gender of the target person from the basic information of the target person, and obtain the reference parameter set corresponding to the gender of the target person from the system repository. Based on this, extract the reference intake Q of various types of food of the target person from the reference parameter set corresponding to the gender of the target person according to the basic information assessment index of the target person i ', the reference exercise duration T of each exercise type 1 j ', the reference average daily step count B', and the reference sleep duration T 2 ';

[0016] According to the formula Calculate the life and health assessment index κ, ΔQ corresponding to the target person i It is expressed as the allowable intake difference of the i-th type of food set, and a4, a5, a6, a7, a8 are respectively expressed as the influence factors corresponding to the set intake, exercise duration, daily average number of steps, sleep duration, and sleep quality

[0017] Preferably, analyze the occupational health impact index corresponding to the target person. The specific analysis method is as follows

[0018] Extract the occupational type corresponding to the target person from the basic information corresponding to the target person, and match the occupational type corresponding to the target person with the work environment impact values corresponding to each set occupational type to obtain the work environment impact value corresponding to the target person, denoted as HY

[0019] Extract the daily average working hours T of the target person within the set period from the work data of the target person corresponding to the set period 3 and the work pressure status feedback value YL

[0020] Based on the basic information assessment index corresponding to the target person, extract the reference daily average working hours T corresponding to the target person from the reference parameter set corresponding to the gender of the target person 3 ';

[0021] According to the formula Calculate the occupational health impact index σ corresponding to the target person. a9, a10, a11 are respectively expressed as the weight factors corresponding to the set work environment impact value, daily average working hours, and work pressure status feedback value

[0022] The health risk degree analysis module is used to construct the body model corresponding to the target person and analyze the health risk of the target person to obtain the health risk degree assessment coefficient corresponding to the target person

[0023] Preferably, analyze the health risk of the target person. The specific analysis process is as follows

[0024] Obtain the waist circumference YW, hip circumference TW, and chest circumference XW corresponding to the target person from the body model corresponding to the target person

[0025] Match the gender corresponding to the target person with the first body mass impact value and the second body mass impact value corresponding to each set gender to obtain the first body mass impact value and the second body mass impact value corresponding to the target person, and denote them as YX 1 、YX 2 ;

[0026] Calculate the first body mass assessment index γ corresponding to the target person through the formula 1 ;

[0027] Calculate the second body mass assessment index γ corresponding to the target person through a formula 2 ;

[0028] According to the formula Calculate the body mass assessment coefficient γ corresponding to the target person, where b1 and b2 respectively represent the proportionality factors corresponding to the set first body mass assessment index and second body mass assessment index;

[0029] Match the gender of the target person with the reference body mass assessment coefficients corresponding to each set gender to obtain the reference body mass assessment coefficient γ' corresponding to the target person;

[0030] According to the formula Calculate the health risk degree assessment coefficient η corresponding to the target person, where Δγ represents the set allowable body mass assessment coefficient difference, and c1, c2, and c3 respectively represent the assessment factors corresponding to the set life health assessment index, occupational health impact index, and body mass assessment coefficient.

[0031] The first recommended module for physical examination items is used to analyze the first set of physical examination items corresponding to the target person based on the health risk degree assessment coefficient corresponding to the target person and the purpose of the physical examination, and obtain the first set of physical examination items corresponding to the target person.

[0032] Preferably, analyze the first set of physical examination items corresponding to the target person, and the specific analysis method is as follows:

[0033] Match the health risk degree assessment coefficient corresponding to the target person with the health risk degree assessment coefficient thresholds corresponding to each set health risk level to obtain the health risk level corresponding to the target person;

[0034] Match the health risk level corresponding to the target person with the health risk levels corresponding to each set basic physical examination item set to obtain the basic physical examination item set corresponding to the target person;

[0035] Extract the purpose of the physical examination corresponding to the target person from the basic information of the target person, and match it with the set of mandatory physical examination items corresponding to each purpose of the physical examination to obtain the set of mandatory physical examination items corresponding to the target person; among them, the purpose of the physical examination includes but is not limited to: employment physical examination, school entrance physical examination, occupational physical examination, pre-marital physical examination, pre-pregnancy physical examination;

[0036] Perform a union operation on the basic physical examination item set and the mandatory physical examination item set corresponding to the target person to form the first set of physical examination items corresponding to the target person, denoted as set A.

[0037] The second recommended module for physical examination items is used to analyze the second set of physical examination items corresponding to the target person based on the medical history data and physical examination information corresponding to the target person, so as to obtain the second set of physical examination items corresponding to the target person.

[0038] Preferably, the analysis of the second set of physical examination items corresponding to the target person based on the medical history data and physical examination information corresponding to the target person is carried out according to the following specific analysis steps:

[0039] 5-1: Extract the family medical history data and past medical history data corresponding to the target person from the medical history data corresponding to the target person. If the target person has no family medical history data, execute step 5-1; otherwise, execute step 5-3.

[0040] 5-2: If the target person has no past medical history data, execute step 5-2; otherwise, execute step 5-4.

[0041] 5-3: Extract the family medical history type corresponding to the target person from the family medical history data corresponding to the target person, and match the family medical history type corresponding to the target person with the set of screening physical examination item sets corresponding to each medical history type to obtain the set of screening physical examination items corresponding to the target person, denoted as set B.

[0042] 5-4: Extract the past medical history type and treatment status corresponding to the target person from the past medical history data corresponding to the target person. If the treatment status of the past medical history corresponding to the target person is cured after treatment, no operation is required. If the treatment status of the past medical history corresponding to the target person is not cured after treatment, match the past medical history type corresponding to the target person with the set of review physical examination item sets corresponding to each medical history type set to obtain the set of review physical examination items corresponding to the target person, denoted as set C.

[0043] 5-5: Extract the physical examination information corresponding to the target person from the system repository. If the physical examination information corresponding to the target person is a first physical examination, execute step 5-5; otherwise, execute step 5-6.

[0044] 5-6: Extract the abnormal physical examination items and the abnormal index values corresponding to the abnormal physical examination items of each historical physical examination in the historical physical examination report corresponding to the target person from the system repository, and integrate the same abnormal physical examination items of each historical physical examination corresponding to the target person to obtain the number of times of the same abnormal physical examination items corresponding to the target person, denoted as N f , f represents the number of each same abnormal physical examination item, f = 1, 2,...., g, and g represents the total number of the numbers of each same abnormal physical examination item;

[0045] 5-7: Integrate the abnormal index values corresponding to each same abnormal physical examination item of the target person to obtain a set of abnormal index values corresponding to each same abnormal physical examination item of the target person. Sort the set of abnormal index values in the order of physical examination time to obtain each abnormal index value corresponding to each same abnormal physical examination item of the target person, denoted as k represents the number of each abnormal index value, k = 1, 2,...., l, where l represents the total number of abnormal index value numbers;

[0046] 5-8: Match the gender of the target person with the first disease risk influence value corresponding to each set gender to obtain the first disease risk influence value corresponding to the target person, denoted as JB 1 , match the age of the target person with the second disease risk influence value corresponding to each set age interval to obtain the second disease risk influence value corresponding to the target person, denoted as JB 2 ;

[0047] 5-9: According to the formula Calculate the disease risk degree evaluation index corresponding to each same abnormal physical examination item of the target person Represents the set reference abnormal index value threshold, Represents the (k - 1)th abnormal index value of the fth same abnormal physical examination item, and d1, d2, d3, d4, d5 respectively represent the proportionality factors corresponding to the set number of times, reference abnormal index value threshold, adjacent abnormal index values, first disease risk influence value, and second disease risk influence value;

[0048] 5-10: Compare the disease risk degree evaluation index corresponding to each same abnormal physical examination item of the target person with the set disease risk degree evaluation index threshold for each same abnormal physical examination item. If the disease risk degree evaluation index corresponding to a certain same abnormal physical examination item of the target person is greater than the set disease risk degree evaluation index threshold for this same abnormal physical examination item, it is determined that this same abnormal physical examination item requires in-depth physical examination; otherwise, it is determined that this same abnormal physical examination item does not require in-depth physical examination;

[0049] 5-11: If a certain same abnormal physical examination item requires in-depth physical examination, obtain the in-depth physical examination items for this same abnormal physical examination item, denoted as set D;

[0050] The second physical examination item set corresponding to the target person is composed of set B, set C, and set D.

[0051] The physical examination item display and analysis module is used to analyze the physical examination item set corresponding to the target person to obtain the physical examination item set corresponding to the target person.

[0052] Preferably, the analysis of the physical examination item set corresponding to the target person is carried out in the following specific analysis method:

[0053] If the medical history data corresponding to the target person is none and it is the first physical examination, then use the first physical examination item set A corresponding to the target person as the physical examination item set corresponding to the target person;

[0054] If the medical history data corresponding to the target person shows there is a family medical history but no past medical history and it is the first physical examination, then perform the union operation on set A and set B as the physical examination item set corresponding to the target person;

[0055] If the medical history data corresponding to the target person shows there is a family medical history but no past medical history and it is not the first physical examination, then perform the union operation on set A, set B, and set D as the physical examination item set corresponding to the target person;

[0056] If the medical history data corresponding to the target person shows there is a family medical history and there is a past medical history and it is the first physical examination, then perform the union operation on set A, set B, and set C as the physical examination item set corresponding to the target person;

[0057] If the medical history data corresponding to the target person shows there is a family medical history and there is a past medical history and it is not the first physical examination, then perform the union operation on set A, set B, set C, and set D as the physical examination item set corresponding to the target person.

[0058] A display terminal for correspondingly displaying the physical examination item set corresponding to the target person.

[0059] A system repository for storing the reference parameter set corresponding to the gender of the target person, storing the physical examination information corresponding to the target person, and storing the historical physical examination reports corresponding to the target person.

[0060] The second aspect of the present invention provides an Internet-based self-service physical examination method, including the following steps:

[0061] S1. Obtaining basic personal information: Obtain the basic information corresponding to the target person to get the basic information corresponding to the target person;

[0062] S2. Obtaining human-machine inquiry data: Obtain the diet data, exercise data, sleep data, work data, and medical history data corresponding to the target person for a set period to get the diet data, exercise data, sleep data, work data, and medical history data corresponding to the target person for the set period;

[0063] S3. Analyzing life and health: Analyze the life and health assessment index corresponding to the target person to get the life and health assessment index corresponding to the target person;

[0064] S4. Analyzing occupational health: Analyze the occupational health impact index corresponding to the target person to get the occupational health impact index corresponding to the target person;

[0065] S5. Health risk level analysis: Construct a body model corresponding to the target person, analyze the health risks of the target person, and obtain the health risk level assessment coefficient corresponding to the target person;

[0066] S6. First recommended physical examination items: Based on the health risk level assessment coefficient and the purpose of the physical examination corresponding to the target person, analyze the first physical examination item set corresponding to the target person to obtain the first physical examination item set corresponding to the target person;

[0067] S7. Second recommended physical examination items: Based on the medical history data and physical examination information corresponding to the target person, analyze the second physical examination item set corresponding to the target person to obtain the second physical examination item set corresponding to the target person;

[0068] S8. Analysis of physical examination item display: Analyze the physical examination item set corresponding to the target person to obtain the physical examination item set corresponding to the target person;

[0069] S9. Display: Perform corresponding display on the physical examination item set corresponding to the target person.

[0070] Advantages of the present invention:

[0071] By obtaining the basic information, life data, and work data corresponding to the target person, and accordingly analyzing the life health, body quality, and occupational health impacts corresponding to the target person, the present invention not only provides strong data support for the subsequent health risk analysis of the target person, but also comprehensively analyzes the health status of the target person through multi-dimensional evaluation, which helps to detect potential health problems at an early stage.

[0072] By analyzing the health risk level and the purpose of the physical examination corresponding to the target person, the present invention obtains the first recommended physical examination item set corresponding to the target person, which not only realizes the pertinence and effectiveness of allocating basic physical examination items according to the health risk level of the target person, but also avoids duplicate and unnecessary examination items, improves the efficiency and effect of the physical examination, can meet the physical examination needs of the target person in different scenarios, and adapts to diverse physical examination requirements.

[0073] Based on the first recommended physical examination item set corresponding to the target person, the present invention further analyzes the medical history data, physical examination information, and historical physical examination data corresponding to the target person, which not only improves the accuracy and reliability of the recommended physical examination items, realizes the targeted matching requirements of the physical examination items for the target person, helps to allocate medical resources more precisely, enables limited resources to be more effectively used for the examinations and diagnoses that are truly needed, makes it more convenient for the target person to obtain physical examination services and relevant information, and improves the accessibility of the service. Description of the Drawings

[0074] The present invention will be further described below with reference to the accompanying drawings.

[0075] Figure 1 It is a system block diagram of the present invention.

[0076] Figure 2 It is a method flow chart of the present invention. Detailed implementation manners

[0077] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0078] Please refer to Figure 1 As shown, the present invention is an Internet-based self-service physical examination system, including: a basic personal information acquisition module, a human-machine inquiry acquisition and analysis module, a health risk degree analysis module, a first physical examination item recommendation module, a second physical examination item recommendation module, a physical examination item display and analysis module, a display terminal, and a system repository.

[0079] The basic personal information acquisition module is used to acquire the basic information corresponding to the target person, where the basic information corresponding to the target person is: height, age, weight, occupation type, gender, physical examination purpose, and a full-body picture. The specific acquisition methods for the height, age, weight, occupation type, gender, and physical examination purpose corresponding to the target person are: by setting a basic information pop-up window, automatically popping up a basic information filling window, which can specifically be: "Please fill in your height, age, weight, occupation type, gender, and physical examination purpose". The specific acquisition method for the full-body picture corresponding to the target person is: taking a full-body photo of the entire body corresponding to the target person, thereby obtaining the basic information corresponding to the target person.

[0080] The human-machine inquiry acquisition and analysis module includes a human-machine inquiry acquisition unit, a life and health analysis unit, and an occupational health analysis unit:

[0081] The human-machine inquiry acquisition unit is used to inquire about the diet of the target person corresponding to a set period through a robot customer service. The specific inquiry method is: "Please fill in the food types and portions of each meal of the target person within the set period", where the set period is a general term and can be five days, seven days, etc., and the portion can be measurement units such as "bowl", "cup", etc. It should be noted that the sizes of the bowl and cup.

[0082] The robot customer service asks about the target person's exercise during a corresponding set period. The specific way of asking is: "Please fill in how long you have engaged in activities of the exercise type during the set period" and "Please fill in approximately how many steps you take per day on average during the set period". Thus, the exercise duration and average daily steps of each exercise type of the target person during the corresponding set period are obtained. Among them, the exercise types include but are not limited to: running, swimming, playing ball, and skipping rope.

[0083] The robot customer service asks about the target person's sleep during a corresponding set period. The specific way of asking is: "Please fill in approximately how long your average daily sleep duration is during the set period" and "Please fill in your sleep quality during the set period". Among them, the sleep quality includes the following options: whether it is easy to fall asleep, whether you have many dreams, and whether it is easy to wake up. And for the option of whether it is easy to fall asleep, if it is yes, it is assigned X1; if it is no, it is assigned X2. For the option of whether you have many dreams, if it is yes, it is assigned X2; if it is no, it is assigned X1. For the option of whether it is easy to wake up, if it is yes, it is assigned X2; if it is no, it is assigned X1, where X1 > X2. Thus, the target person's average daily sleep duration and sleep quality during the corresponding set period are obtained.

[0084] In a specific embodiment, if the sleep quality options of the target person during the corresponding set period are: the option of whether it is easy to fall asleep is yes, the option of whether you have many dreams is no, and the option of whether it is easy to wake up is no, then the sleep quality of the target person during the corresponding set period is assigned 3X1.

[0085] The robot customer service asks about the target person's work during a corresponding set period. The specific way of asking is: "Please fill in approximately how long your average daily working hours are during the set period" and "Please fill in your work pressure status during the set period". Among them, the work pressure status includes the following options: low pressure, medium pressure, high pressure, and extremely high pressure. And low pressure is assigned Y1, medium pressure is assigned Y2, high pressure is assigned Y3, and extremely high pressure is assigned Y4, where Y1 > Y2 > Y3 > Y4. Thus, the target person's average daily working hours and the feedback value of the work pressure status during the corresponding set period are obtained.

[0086] In a specific embodiment, if the work pressure status of the target person during the corresponding set period is extremely high pressure, then the feedback value of the work pressure status of the target person during the corresponding set period is Y4.

[0087] The robot customer service asks about the target person's family medical history and past medical history. The specific way of asking is: "Please fill in whether you have a family medical history and the type of family medical history" and "Please fill in whether you have a past medical history, the type of past medical history, and the treatment situation". Among them, the treatment situation includes the following options: whether you have been treated and whether you have recovered.

[0088] Thus, the diet data, exercise data, sleep data, work data, and medical history data of the target person for the corresponding set period are constituted.

[0089] The life and health analysis unit is used to analyze the life and health assessment index corresponding to the target person. The specific analysis method is as follows:

[0090] Obtain the intake of various types of foods of the target person within the corresponding set period. The specific acquisition method is: classify the diet of the target person for the corresponding set period according to various types of foods to obtain the diet of various types of foods of the target person for the corresponding set period, and extract the weight of various types of foods of the target person from the diet of the target person for the corresponding set period, so as to obtain the intake Q of various types of foods of the target person for the corresponding set period. i , where i represents the number of various types of foods, i = 1, 2,...., m, and m represents the total number of food type numbers. Extract the exercise duration T of each exercise type of the target person from the exercise data of the target person for the corresponding set period. 1 j , the average daily step count B, where j represents the number of each exercise type, j = 1, 2,...., n, and n represents the total number of exercise type numbers. Extract the average daily sleep duration T of the target person from the sleep data of the target person for the corresponding set period. 2 , and the sleep quality SZ;

[0091] Extract the height, age, and weight of the target person from the basic information of the target person, perform normalization processing and take their values, which are respectively recorded as SG, NL, and TZ. Use the formula ε = SG×a1 + NL×a2 + TZ×a3 to obtain the basic information assessment index ε of the target person. a1, a2, and a3 respectively represent the set weight factors corresponding to height, age, and weight.

[0092] Extract the gender of the target person from the basic information of the target person, and obtain the reference parameter set corresponding to the gender of the target person from the system repository. Thus, based on the basic information assessment index of the target person, extract the reference intake Q of various types of foods of the target person from the reference parameter set corresponding to the gender of the target person. i ', the reference exercise duration T of each exercise type. 1 j ', the reference average daily step count B', and the reference sleep duration T. 2 ';

[0093] According to the formula Calculate the life and health assessment index κ of the target person, ΔQ. iDenoted as the allowable intake difference of the i-th type of food set, a4, a5, a6, a7, a8 are respectively denoted as the impact factors corresponding to the set intake, exercise duration, average daily steps, sleep duration, and sleep quality.

[0094] The occupational health analysis unit is used to analyze the occupational health impact index corresponding to the target person. The specific analysis method is as follows:

[0095] Extract the occupational type corresponding to the target person from the basic information corresponding to the target person, and match the occupational type corresponding to the target person with the work environment impact values corresponding to the set occupational types to obtain the work environment impact value corresponding to the target person, denoted as HY;

[0096] Extract the average daily working hours T of the target person within the set period from the work data corresponding to the target person in the set period 3 and the work pressure status feedback value YL;

[0097] Based on the basic information evaluation index corresponding to the target person, extract the reference average daily working hours T corresponding to the target person from the reference parameter set corresponding to the gender of the target person 3 ';

[0098] According to the formula Calculate the occupational health impact index σ corresponding to the target person. a9, a10, a11 are respectively denoted as the weight factors corresponding to the set work environment impact value, average daily working hours, and work pressure status feedback value.

[0099] In a specific embodiment, the present invention obtains the basic information, life data, and work data corresponding to the target person, and accordingly analyzes the life health, body mass, and occupational health impacts corresponding to the target person, which not only provides strong data support for the subsequent health risk analysis of the target person, but also the multi-dimensional evaluation more comprehensively analyzes the health status of the target person, helping to detect potential health problems at an early stage.

[0100] The health risk degree analysis module is used to construct a three-dimensional model based on the all-round body picture in the basic information corresponding to the target person to obtain the body model corresponding to the target person, and analyze the health risk of the target person. The specific analysis process is as follows:

[0101] Obtain the waist circumference YW, hip circumference TW, and chest circumference XW corresponding to the target person from the body model corresponding to the target person;

[0102] Match the gender corresponding to the target person with the first body mass impact value and the second body mass impact value corresponding to the set genders to obtain the first body mass impact value and the second body mass impact value corresponding to the target person, and denote them as YX respectively1 , YX 2 ;

[0103] Through the formula calculate the first body mass assessment index γ corresponding to the target person 1 ;

[0104] Through the formula calculate the second body mass assessment index γ corresponding to the target person 2 ;

[0105] According to the formula calculate the body mass assessment coefficient γ corresponding to the target person, where b1 and b2 respectively represent the proportionality factors corresponding to the set first body mass assessment index and the second body mass assessment index;

[0106] Match the gender of the target person with the reference body mass assessment coefficients corresponding to each set gender to obtain the reference body mass assessment coefficient γ' corresponding to the target person;

[0107] According to the formula calculate the health risk degree assessment coefficient η corresponding to the target person, where Δγ represents the set allowable body mass assessment coefficient difference, and c1, c2, and c3 respectively represent the assessment factors corresponding to the set life health assessment index, occupational health impact index, and body mass assessment coefficient.

[0108] The first recommended physical examination item module is used to analyze the first physical examination item set corresponding to the target person based on the health risk degree assessment coefficient corresponding to the target person and the purpose of the physical examination. The specific analysis method is as follows:

[0109] Match the health risk degree assessment coefficient corresponding to the target person with the health risk degree assessment coefficient thresholds corresponding to each set health risk level to obtain the health risk level corresponding to the target person;

[0110] Match the health risk level corresponding to the target person with the health risk levels corresponding to each set basic physical examination item set to obtain the basic physical examination item set corresponding to the target person;

[0111] Extract the purpose of the physical examination corresponding to the target person from the basic information of the target person, and match it with the set of mandatory physical examination items corresponding to each purpose of the physical examination to obtain the set of mandatory physical examination items corresponding to the target person; among them, the purpose of the physical examination includes but is not limited to: employment physical examination, school entrance physical examination, occupational physical examination, pre-marital physical examination, pre-pregnancy physical examination;

[0112] Perform a union operation on the basic physical examination item set corresponding to the target person and the necessary physical examination item set, thereby forming the first physical examination item set corresponding to the target person, denoted as set A.

[0113] In a specific embodiment, the present invention analyzes the health risk level and physical examination purpose corresponding to the target person to obtain the first set of recommended physical examination items corresponding to the target person, which not only realizes the pertinence and effectiveness of allocating basic physical examination items according to the health risk level of the target person, but also avoids redundant and unnecessary examination items, improves the efficiency and effect of physical examination, can meet the physical examination needs of the target person in different scenarios, and adapts to diverse physical examination needs.

[0114] The second recommended physical examination item module is used to analyze the second set of physical examination items corresponding to the target person based on the medical history data and physical examination information corresponding to the target person. The specific analysis steps are as follows:

[0115] 5-1: Extract the family medical history data and past medical history data corresponding to the target person from the medical history data corresponding to the target person. If the target person has no family medical history data, execute step 5-1; otherwise, execute step 5-3.

[0116] 5-2: If the target person has no past medical history data, execute step 5-2; otherwise, execute step 5-4.

[0117] 5-3: Extract the family medical history type corresponding to the target person from the family medical history data corresponding to the target person, and match the family medical history type corresponding to the target person with the set screening physical examination item sets corresponding to each medical history type to obtain the screening physical examination item set corresponding to the target person, denoted as set B.

[0118] 5-4: Extract the past medical history type and treatment status corresponding to the target person from the past medical history data corresponding to the target person. If the treatment status of the past medical history corresponding to the target person is cured after treatment, no operation is required. If the treatment status of the past medical history corresponding to the target person is untreated or not completely cured after treatment, match the past medical history type corresponding to the target person with the set reexamination physical examination item sets corresponding to each medical history type.

[0119] Obtain the reexamination physical examination item set corresponding to the target person, denoted as set C.

[0120] 5-5: Extract the physical examination information corresponding to the target person from the system repository. If the physical examination information corresponding to the target person is a first physical examination, execute step 5-5; otherwise, execute step 5-6.

[0121] 5-6: Extract the abnormal physical examination items and the abnormal index values corresponding to the abnormal physical examination items in each historical physical examination from the historical physical examination reports corresponding to the target person in the system repository, and integrate the same abnormal physical examination items in each historical physical examination corresponding to the target person to obtain the number of times of the same abnormal physical examination items corresponding to the target person, denoted as Nf , where \(f\) represents the number of each identical abnormal physical examination item, \(f = 1, 2,\cdots, g\), and \(g\) represents the total number of the numbers of each identical abnormal physical examination item;

[0122] 5 - 7: Integrate the abnormal index values corresponding to each identical abnormal physical examination item of the target person to obtain the set of abnormal index values corresponding to each identical abnormal physical examination item of the target person. Sort the set of abnormal index values in the chronological order of physical examination time to obtain each abnormal index value corresponding to each identical abnormal physical examination item of the target person, denoted as , where \(k\) represents the number of each abnormal index value, \(k = 1, 2,\cdots, l\), and \(l\) represents the total number of the numbers of abnormal index values;

[0123] 5 - 8: Match the gender of the target person with the first disease risk impact value corresponding to each set gender to obtain the first disease risk impact value corresponding to the target person, denoted as \(JB\) 1 , match the age of the target person with the second disease risk impact value corresponding to each set age interval to obtain the second disease risk impact value corresponding to the target person, denoted as \(JB\) 2 ;

[0124] 5 - 9: According to the formula , calculate the disease risk degree assessment index corresponding to each identical abnormal physical examination item of the target person represents the set reference abnormal index value threshold, represents the \((k - 1)\)th abnormal index value of the \(f\)th identical abnormal physical examination item, and \(d1\), \(d2\), \(d3\), \(d4\), \(d5\) respectively represent the proportionality factors corresponding to the set number of times, reference abnormal index value threshold, adjacent abnormal index values, first disease risk impact value, and second disease risk impact value;

[0125] 5 - 10: Compare the disease risk degree assessment index corresponding to each identical abnormal physical examination item of the target person with the disease risk degree assessment index threshold corresponding to each identical abnormal physical examination item set. If the disease risk degree assessment index corresponding to a certain identical abnormal physical examination item of the target person is greater than the disease risk degree assessment index threshold corresponding to this identical abnormal physical examination item set, it is determined that this identical abnormal physical examination item requires in - depth physical examination; otherwise, it is determined that this identical abnormal physical examination item does not require in - depth physical examination;

[0126] 5 - 11: If a certain identical abnormal physical examination item requires in - depth physical examination, obtain the in - depth physical examination items of this identical abnormal physical examination item, denoted as set \(D\);

[0127] The second physical examination item set corresponding to the target person is composed of set \(B\), set \(C\), and set \(D\).

[0128] In a specific embodiment, the present invention further analyzes the medical history data, physical examination information, and historical physical examination data corresponding to the target person based on the first set of recommended physical examination items corresponding to the target person, not only improving the accuracy and reliability of the recommended physical examination items, achieving the targeted matching requirements for the physical examination items of the target person, helping to allocate medical resources more precisely, enabling limited resources to be more effectively used for the examinations and diagnoses that are truly needed, making it more convenient for the target person to obtain physical examination services and related information, and improving the accessibility of the services.

[0129] A physical examination item display and analysis module, which is used to analyze the set of physical examination items corresponding to the target person to obtain the set of physical examination items corresponding to the target person;

[0130] If the medical history data corresponding to the target person is none and it is the first physical examination, then the first set of physical examination items A corresponding to the target person is used as the set of physical examination items corresponding to the target person;

[0131] If the medical history data corresponding to the target person shows a family history but no past medical history and it is the first physical examination, then the union of set A and set B is processed as the set of physical examination items corresponding to the target person;

[0132] If the medical history data corresponding to the target person shows a family history but no past medical history and it is not the first physical examination, then the union of set A, set B, and set D is processed as the set of physical examination items corresponding to the target person;

[0133] If the medical history data corresponding to the target person shows a family history and a past medical history and it is the first physical examination, then the union of set A, set B, and set C is processed as the set of physical examination items corresponding to the target person;

[0134] If the medical history data corresponding to the target person shows a family history and a past medical history and it is not the first physical examination, then the union of set A, set B, set C, and set D is processed as the set of physical examination items corresponding to the target person.

[0135] A display terminal, which is used to display the set of physical examination items corresponding to the target person accordingly.

[0136] A system repository, which is used to store the set of reference parameters corresponding to the gender of the target person, store the physical examination information corresponding to the target person, and store the historical physical examination reports corresponding to the target person.

[0137] Please refer to Figure 2 As shown, the present invention is an Internet-based self-service physical examination method, including the following steps:

[0138] S1. Obtaining basic information of the person: Obtain the basic information corresponding to the target person to obtain the basic information corresponding to the target person;

[0139] S2. Human-machine query data acquisition: By acquiring the diet data, exercise data, sleep data, work data, and medical history data of the target person for a corresponding set period, the diet data, exercise data, sleep data, work data, and medical history data of the target person for the corresponding set period are obtained;

[0140] S3. Life and health analysis: Analyze the life and health assessment index corresponding to the target person to obtain the life and health assessment index corresponding to the target person;

[0141] S4. Occupational health analysis: Analyze the occupational health impact index corresponding to the target person to obtain the occupational health impact index corresponding to the target person;

[0142] S5. Health risk degree analysis: Construct a physical model corresponding to the target person and analyze the health risks of the target person to obtain the health risk degree assessment coefficient corresponding to the target person;

[0143] S6. First recommendation of physical examination items: Based on the health risk degree assessment coefficient and the purpose of physical examination corresponding to the target person, analyze the first set of physical examination items corresponding to the target person to obtain the first set of physical examination items corresponding to the target person;

[0144] S7. Second recommendation of physical examination items: Based on the medical history data and physical examination information corresponding to the target person, analyze the second set of physical examination items corresponding to the target person to obtain the second set of physical examination items corresponding to the target person;

[0145] S8. Analysis of physical examination item display: Analyze the set of physical examination items corresponding to the target person to obtain the set of physical examination items corresponding to the target person;

[0146] S9. Display: Make corresponding displays for the set of physical examination items corresponding to the target person.

[0147] In this application, the specific sizes of the weight factor, influence factor, weight value factor, evaluation factor, and proportional factor are not given. Their sizes are all custom-set by those skilled in the art according to actual use and stored in the system repository; and the involved formulas are all custom empirical formulas, which are pre-stored in the system repository.

[0148] The above content is only an example and explanation of the structure of the present invention. Those skilled in the art of this technology make various modifications or supplements to the described specific embodiments or use similar methods for substitution. As long as they do not deviate from the structure of the invention or exceed the scope defined by this claim book, they should all fall within the protection scope of the present invention.

Claims

1. The Internet-based self-service physical examination system is characterized by: include: The personnel basic information acquisition module is used to acquire the basic information corresponding to the target personnel and obtain the basic information corresponding to the target personnel; The human-machine inquiry acquisition and analysis module includes a human-machine inquiry acquisition unit, a life and health analysis unit, and an occupational health analysis unit. The human-machine inquiry acquisition unit is used to acquire the target person's diet data, exercise data, sleep data, work data, and medical history data corresponding to the set period, and obtain the target person's diet data, exercise data, sleep data, work data, and medical history data corresponding to the set period; the life and health analysis unit is used to analyze the life and health assessment index corresponding to the target person, and obtain the life and health assessment index corresponding to the target person; The occupational health analysis unit is used to analyze the occupational health impact index corresponding to the target personnel to obtain the occupational health impact index corresponding to the target personnel; The health risk degree analysis module is used to construct a body model corresponding to the target person, analyze the health risk of the target person, and obtain the health risk degree assessment coefficient corresponding to the target person; The first physical examination item recommendation module is used to analyze the first physical examination item set corresponding to the target person based on the health risk assessment coefficient corresponding to the target person and the physical examination purpose, and obtain the first physical examination item set corresponding to the target person; A second physical examination item recommendation module is used to analyze a second physical examination item set corresponding to the target person based on the medical history data and physical examination information corresponding to the target person, and obtain a second physical examination item set corresponding to the target person; The physical examination item display and analysis module is used to analyze the physical examination item set corresponding to the target person and obtain the physical examination item set corresponding to the target person; The display terminal is used to display the corresponding set of physical examination items of the target person; The system repository is used to store a reference parameter set corresponding to the gender of the target person, store the physical examination information corresponding to the target person, and store the historical physical examination report corresponding to the target person.

2. The Internet-based self-service physical examination system according to claim 1, characterized in that: The life health assessment index corresponding to the target personnel is analyzed, and the specific analysis method is as follows: Extract the intake of various types of food Q of the target person in the corresponding set period from the target person's dietary data for the set period i , i represents the number of each type of food, i = 1, 2, ...., m, m represents the total number of food types, and the exercise duration T1 of the target person corresponding to each exercise type is extracted from the exercise data of the target person corresponding to the set period j , average daily number of steps B, j represents the number of each exercise type, j = 1, 2, ...., n, n represents the total number of exercise type numbers, and the average daily sleep duration T2 and sleep quality SZ of the target person corresponding to the set period are extracted from the sleep data of the target person; The height, age and weight of the target person are extracted from the basic information of the target person, and normalized and taken as values, which are recorded as SG, NL and TZ respectively. The basic information evaluation index ε of the target person is obtained by using the formula ε=SG×a1+NL×a2+TZ×a3, where a1, a2 and a3 represent the weight factors corresponding to the set height, age and weight respectively. The target person's corresponding gender is extracted from the target person's corresponding basic information, and the reference parameter set of the target person's corresponding gender is obtained from the system repository, thereby extracting the reference intake Q of various types of food corresponding to the target person from the reference parameter set of the target person's corresponding gender based on the target person's corresponding basic information evaluation index. i ', Reference exercise duration T1 for each exercise type j ', reference daily average number of steps B', reference sleep duration T2'; According to the formula Calculate the life health assessment index κ, ΔQ corresponding to the target person i It is represented as the allowed intake difference of the i-th type of food, and a4, a5, a6, a7, and a8 are the influencing factors corresponding to the set intake, exercise duration, average daily steps, sleep duration, and sleep quality, respectively.

3. The Internet-based self-service physical examination system according to claim 1, characterized in that: The occupational health impact index corresponding to the target personnel is analyzed in the following specific analysis methods: Extract the occupation type corresponding to the target person from the basic information corresponding to the target person, and match the occupation type corresponding to the target person with the set work environment impact value corresponding to each occupation type to obtain the work environment impact value corresponding to the target person, recorded as HY; Extract the average daily working time T3 and the work pressure state feedback value YL of the target personnel in the set period from the work data of the target personnel in the set period; Based on the basic information evaluation index corresponding to the target personnel, the reference daily average working hours T3' corresponding to the target personnel are extracted from the reference parameter set corresponding to the gender of the target personnel; According to the formula The occupational health impact index σ corresponding to the target personnel is calculated, and a9, a10, and a11 represent the weight factors corresponding to the set working environment impact value, average daily working hours, and working pressure state feedback value, respectively.

4. The Internet-based self-service physical examination system according to claim 1, characterized in that: The health risk of the target personnel is analyzed, and the specific analysis process is as follows: Obtain the waist circumference YW, hip circumference TW, and chest circumference XW corresponding to the target person from the body model corresponding to the target person; Match the gender corresponding to the target person with the set first influence value of body mass and second influence value of body mass corresponding to each gender, and obtain the first influence value of body mass and second influence value of body mass corresponding to the target person, which are recorded as YX1 and YX2 respectively; The first body mass assessment index γ1 corresponding to the target person is calculated by the formula; The second body mass assessment index γ2 corresponding to the target person is calculated by the formula; According to the formula Calculate the body mass assessment coefficient γ corresponding to the target person, where b1 and b2 represent the proportional factors corresponding to the set first body mass assessment index and second body mass assessment index respectively; Match the gender corresponding to the target person with the reference body mass assessment coefficient corresponding to each gender, and obtain the reference body mass assessment coefficient γ' corresponding to the target person; According to the formula The health risk assessment coefficient η corresponding to the target personnel is calculated, Δγ is represented by the set allowable physical quality assessment coefficient difference, and c1, c2, and c3 are respectively represented by the assessment factors corresponding to the set life health assessment index, occupational health impact index, and physical quality assessment coefficient.

5. The Internet-based self-service physical examination system according to claim 1, characterized in that: The first set of physical examination items corresponding to the target person is analyzed, and the specific analysis method is as follows: The health risk level assessment coefficient corresponding to the target person is matched with the health risk level assessment coefficient threshold corresponding to each set health risk level to obtain the health risk level corresponding to the target person; Match the health risk level corresponding to the target person with the health risk level corresponding to each set of basic physical examination items to obtain the basic physical examination item set corresponding to the target person; Extract the physical examination purpose corresponding to the target person from the basic information corresponding to the target person, and match it with the set of required physical examination items corresponding to each set physical examination purpose to obtain the set of required physical examination items corresponding to the target person; wherein the physical examination purpose includes but is not limited to: pre-employment physical examination, school entrance physical examination, occupational physical examination, pre-marital physical examination, and pre-pregnancy physical examination; The basic physical examination item set and the required physical examination item set corresponding to the target person are combined to form a first physical examination item set corresponding to the target person, which is recorded as set A.

6. The Internet-based self-service physical examination system according to claim 1, characterized in that: The second set of physical examination items corresponding to the target person is analyzed based on the medical history data and physical examination information corresponding to the target person. The specific analysis steps are as follows: 5-1: Extract the family medical history data and past medical history data corresponding to the target person from the medical history data corresponding to the target person. If the target person has no family medical history data, execute step 5-1, otherwise, execute step 5-3; 5-2: If the target person has no previous medical history data, execute step 5-2, otherwise, execute step 5-4; 5-3: Extract the family medical history type corresponding to the target person from the family medical history data corresponding to the target person, match the family medical history type corresponding to the target person with the set of screening physical examination items corresponding to each medical history type, and obtain the set of screening physical examination items corresponding to the target person, recorded as set B; 5-4: Extract the target person's corresponding medical history type and treatment status from the target person's corresponding medical history data. If the target person's corresponding medical history treatment status is cured, no operation is required. If the target person's corresponding medical history treatment status is uncured, match the target person's corresponding medical history type with the set of reexamination and physical examination items corresponding to each set of medical history types to obtain the set of reexamination and physical examination items corresponding to the target person, recorded as set C. 5-5: extract the physical examination information corresponding to the target person from the system repository. If the physical examination information corresponding to the target person is the first physical examination, execute step 5-5; otherwise, execute step 5-6; 5-6: Extract the abnormal physical examination items of each historical physical examination in the historical physical examination report of the target person and the abnormal index values ​​corresponding to the abnormal physical examination items of each historical physical examination from the system repository, and integrate the same abnormal physical examination items of each historical physical examination of the target person to obtain the number of times the target person has each same abnormal physical examination item, recorded as N f , f represents the number of each identical abnormal physical examination item, f=1,2,....,g, g represents the total number of each identical abnormal physical examination item number; 5-7: Integrate the abnormal index values ​​corresponding to the same abnormal physical examination items of the target person to obtain the abnormal index value set corresponding to the same abnormal physical examination items of the target person, sort the abnormal index value set according to the order of physical examination time, and obtain the abnormal index values ​​of the target person corresponding to the same abnormal physical examination items, recorded as k represents the number of each abnormal index value, k=1,2,....,l,l represents the total number of abnormal index value numbers; 5-8: Match the gender of the target person with the first impact value of the disease risk corresponding to each gender, and obtain the first impact value of the disease risk corresponding to the target person, recorded as JB1; match the age of the target person with the second impact value of the disease risk corresponding to each age range, and obtain the second impact value of the disease risk corresponding to the target person, recorded as JB2; 5-9: According to the formula Calculate the disease risk assessment index of the target person corresponding to each abnormal physical examination item Represents the set reference abnormal index value threshold, It is represented as the k-1th abnormal index value of the fth same abnormal physical examination item, d1, d2, d3, d4, d5 respectively represent the proportional factors corresponding to the set number of times, the reference abnormal index value threshold, the adjacent abnormal index value, the first impact value of disease risk, and the second impact value of disease risk; 5-10: Compare the disease risk assessment index of the target person corresponding to each of the same abnormal physical examination items with the set disease risk assessment index threshold of each of the same abnormal physical examination items. If the disease risk assessment index of the target person corresponding to a certain same abnormal physical examination item is greater than the set disease risk assessment index threshold of the same abnormal physical examination item, it is determined that the same abnormal physical examination item requires an in-depth physical examination. Otherwise, it is determined that the same abnormal physical examination item does not require an in-depth physical examination. 5-11: If a certain abnormal physical examination item needs an in-depth physical examination, obtain the in-depth physical examination items of the same abnormal physical examination item, which are recorded as set D; The second inspection item set corresponding to the target person is composed of set B, set C, and set D.

7. The Internet-based self-service physical examination system according to claim 1, characterized in that: The physical examination item set corresponding to the target person is analyzed, and the specific analysis method is as follows: If the medical history data corresponding to the target person is none and it is the first physical examination, the first physical examination item set A corresponding to the target person is used as the physical examination item set corresponding to the target person; If the medical history data corresponding to the target person is that there is a family medical history but no previous medical history and it is the first physical examination, then the set A and the set B are combined as the set of physical examination items corresponding to the target person; If the medical history data corresponding to the target person is that there is a family medical history but no previous medical history and it is not the first physical examination, then the set A, set B, and set D are processed as the set of physical examination items corresponding to the target person; If the medical history data corresponding to the target person has a family medical history, a past medical history, and is the first physical examination, then the set A, set B, and set C are combined as the set of physical examination items corresponding to the target person; If the medical history data corresponding to the target person has a family medical history or a past medical history and it is not the first physical examination, then Set A, Set B, Set C, and Set D are unioned as the set of physical examination items corresponding to the target person.

8. The Internet-based self-service physical examination method is characterized by: The Internet-based self-service physical examination system applied to any one of claims 1 to 7 comprises the following steps: S1. Obtaining basic information of personnel: Obtaining basic information corresponding to the target personnel to obtain basic information corresponding to the target personnel; S2, human-machine interrogation data acquisition: by acquiring the target person's diet data, exercise data, sleep data, work data and medical history data corresponding to the set period, the target person's diet data, exercise data, sleep data, work data and medical history data corresponding to the set period are obtained; S3. Life and health analysis: Analyze the life and health assessment index corresponding to the target person to obtain the life and health assessment index corresponding to the target person; S4. Occupational health analysis: Analyze the occupational health impact index corresponding to the target personnel to obtain the occupational health impact index corresponding to the target personnel; S5. Health risk degree analysis: construct a body model corresponding to the target person, analyze the health risk of the target person, and obtain the health risk degree assessment coefficient corresponding to the target person; S6. First recommendation of physical examination items: Based on the health risk assessment coefficient corresponding to the target person and the purpose of the physical examination, the first set of physical examination items corresponding to the target person is analyzed to obtain the first set of physical examination items corresponding to the target person; S7, second recommendation of physical examination items: analyzing the second set of physical examination items corresponding to the target person based on the medical history data and physical examination information corresponding to the target person, and obtaining the second set of physical examination items corresponding to the target person; S8. Physical examination item display analysis: analyzing the physical examination item set corresponding to the target person to obtain the physical examination item set corresponding to the target person; S9. Display: Display the corresponding set of physical examination items for the target person.

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