Vaccination referral evaluation system and method for children in special health state

Abstract

The invention discloses a vaccination referral evaluation system and method for children in a special health state. The system comprises a referral registration module, a referral evaluation module, an evaluation record query module, an evaluation result query module, a regional personnel file retrieval module, a regional referral condition statistics module, a regional evaluation condition statistics module, a regional follow-up visit condition statistics module and a data storage module. According to the method, referral registration, referral evaluation, evaluation record query, evaluation result query, regional personnel archive retrieval, regional referral condition statistics, regional evaluation condition statistics and regional follow-up visit condition statistics of children in special health states are carried out through the modules. According to the invention, medical and defense fusion and information sharing are embodied, interconnection and intercommunication between an evaluation hospital and a vaccination working point are realized, the evaluation working efficiency is greatly improved, and safe implementation of vaccination work of children in a special health state is greatly guaranteed.

Description

Technical Field

[0001] The invention relates to the field of information processing, and in particular to a vaccination referral evaluation system and method for children in special health conditions. Background Art

[0002] At present, the vaccination clinics of units have generally realized information management. However, for children with special health conditions, when they receive vaccinations in the clinic, the vaccinations often cannot be carried out normally due to the lack of evaluation and personalized guidance from professional doctors. Children with special health conditions generally have special physiological or pathological conditions, or children who have suffered from certain diseases in the past. How to manage the professional evaluation and personalized guidance of children with special health conditions through information management, standardize each process link, improve work efficiency, and maximize the protection of children's health is still a difficult problem.

[0003] In order to solve the management problem of assessment and guidance for children with special health conditions, the existing assessment clinics use manual registration and paper reports for management. The current manual registration and paper reports are still a relatively traditional management method. It is not convenient to view the overall files of the assessors, including historical assessments, historical vaccination records, etc. It is not convenient to count the workload of the assessment hospital, and it is also impossible to achieve interconnection between the assessment hospital and the vaccination work point. Summary of the invention

[0004] In view of the above problems, the present invention proposes a vaccination referral evaluation system and method for children in special health conditions.

[0005] To achieve the purpose of the present invention, the present invention provides, in a first aspect, a vaccination referral evaluation system for children in special health conditions, comprising: a referral registration module, a referral evaluation module, an evaluation record query module, an evaluation result query module, a regional personnel file retrieval module, a regional referral situation statistics module, a regional evaluation situation statistics module, a regional follow-up situation statistics module and a data storage module;

[0006] The referral registration module is used for the vaccination clinic to add, query and print children's referral records;

[0007] The referral assessment module is used for the assessment outpatient unit to establish a child assessment file, register child assessment records and child follow-up records;

[0008] The assessment record query module is used for the assessment clinic to query the child assessment file and the child assessment record;

[0009] The evaluation result query module is used for the vaccination clinic to query the child evaluation record;

[0010] The regional personnel file retrieval module is used for the disease control unit and the evaluation clinic unit to query the child evaluation file, the child referral record and the child evaluation record;

[0011] The regional referral situation statistics module is used for the disease control unit to manage the overall child referral situation in the area based on the child referral record statistics;

[0012] The regional assessment situation statistics module is used for the disease control unit to manage the overall child assessment situation in the area based on the child assessment records;

[0013] The regional follow-up situation statistics module is used for the disease control unit to manage the overall child follow-up situation in the area based on the child follow-up records;

[0014] The data storage module is used to store the child referral record, the child assessment file, the child assessment record and the child follow-up record;

[0015] The referral assessment module uses the following method for the assessment clinic to establish a child assessment file:

[0016] Based on the child status information input by the evaluation clinic unit, a child health status model is established; wherein the child health status model includes descriptive information of the child status information and a plurality of different branches, each of the branches is configured with one of the growth and development prediction equation, the intelligence and cognition prediction equation, the psychological behavior prediction equation, and the family environment prediction equation, and different branches are configured with different equations;

[0017] Based on the child health status model, a state transfer matrix is ​​generated, wherein the state transfer matrix is ​​used to describe the changes of the child's physiological state and psychological state over time;

[0018] Based on the state transfer matrix, predict the physiological state and psychological state of the child after a specified period of time, and obtain the predicted value of the child's health state for this visit;

[0019] Establishing a child assessment file including basic information of the child, child status information, and predicted value of the child's health status;

[0020] The basic information of the child includes the child's gender, birth history, guardian information, registered place of residence, medical history, and allergy history.

[0021] The growth and development prediction equation is:

[0022]

[0023] Among them, t represents the current age of the child, Zt+n represents the predicted growth and development value of a child n years after age t, X represents the child's gender, x 1 represents the weight assigned to the child's gender in the growth and development prediction equation, B represents the child's birth history, b 1 represents the weight of the child's birth history in the growth and development prediction equation, M represents the child's medical history, m 1 represents the weight of the child's medical history in the growth and development prediction equation, A represents the child's allergy history, a 1 represents the weight of the child's allergy history in the growth and development prediction equation, D represents the child's registered residence, d 1 represents the weight assigned to the child’s registered residence in the growth prediction equation, c 1 is the adjustment parameter used to adjust the range of growth and development prediction values, C 1 A standard growth curve that matches the child's gender. is the sum of the height and weight corresponding to age t+n;

[0024] The intelligence cognition prediction equation is:

[0025]

[0026] Among them, t represents the current age of the child, I t+n represents the predicted value of intelligence and cognition of children n years after age t, X represents the gender of the child, and x 2 represents the weight assigned to the child's gender in the intelligence and cognitive prediction equation, B represents the child's birth history, b 2 represents the weight of the child's birth history in the intelligence and cognitive prediction equation, M represents the child's medical history, m 2 represents the weight of the child's medical history in the intelligence and cognitive prediction equation, A represents the child's allergy history, a 2 represents the weight assigned to the child's allergy history in the intelligence and cognitive prediction equation, c 2 is the adjustment parameter used to adjust the range of the predicted value of intelligence cognition, C 2 For the intelligence development curve, is the intelligence value corresponding to age t+n;

[0027] The psychological behavior prediction equation is:

[0028]

[0029] Among them, t represents the current age of the child, P t+n represents the predicted value of the child's psychological behavior n years from the age of t, X represents the child's gender, x 3represents the weight assigned to the child's gender in the psychological behavior prediction equation, M represents the child's medical history, m 3 represents the weight of the child's medical history in the psychological behavior prediction equation, A represents the child's allergy history, a 3 represents the weight of children’s allergy history in the psychological behavior prediction equation, c 3 is the adjustment parameter used to adjust the range of psychological behavior prediction values, C 3 is the Yerkes-Dodson curve, is the efficiency level value corresponding to the motivation level value q;

[0030] The motivation level value q is determined based on a predefined three-dimensional scatter plot of motivation level, in which the horizontal axis of any point represents the age of the child, the vertical axis represents the sum of the number of previous diseases and the number of allergies of the child, and the vertical axis represents the corresponding motivation level value;

[0031] The family environment prediction equation is:

[0032] E t+n =(x 1 *X+b 1 *B+g 1 *G+d 1 *D) / c 4 *F t+n

[0033] Among them, t represents the current age of the child, E t+n represents the predicted value of the family environment of a child n years after age t, X represents the child's gender, x 2 represents the weight assigned to the child's gender in the family environment prediction equation, B represents the child's birth history, b 2 represents the weight of the child's birth history in the family environment prediction equation, G represents the guardian information, g 1 represents the weight of the guardian information in the family environment prediction equation, D represents the child’s registered residence, d 1 represents the weight assigned to the child’s registered residence in the family environment prediction equation, c 4 is the adjustment parameter used to adjust the range of the predicted value of the home environment, F t+n It represents the family environment scale value of a child n years after the age of t, which is obtained based on the question-answering model analysis; wherein the input of the question-answering model is the child's gender, child's date of birth, guardian information, child's medical history, and child's allergy history, and the model simulates answering preset questions of the family environment scale based on the input, and outputs the family environment scale value as the result value.

[0034] The referral assessment module uses the following formula to obtain the predicted value of the child's health status:

[0035] L 2 =H·L 1 +Q;

[0036] Among them, H is the state transfer matrix, L 1 is the predicted value of the child’s health status at the last visit, L 2 is the predicted value of the child's health status during this visit, and Q is the process noise matrix;

[0037] The assessment record query module is used for the assessment clinic to query the child assessment file for the predicted value of the child's health status during each visit to the clinic.

[0038] In the present invention, in the process of establishing a child assessment file, the physiological and psychological characteristics of the child are modeled through a predefined child health status model, and then a state transition matrix is ​​established. On this basis, according to the predicted value of the child's health status at the last visit, the change tendency of the current child's health status is deduced by the Kalman filter method, and the output result is used to characterize the change in the health status of a t-year-old child n years later. Among them, when modeling the child's health status, the child's status from multiple perspectives is considered, such as growth and development, intellectual development, psychological behavior and family environment. The comprehensive output under polymorphic simulation can better characterize the child's actual change tendency, and the prediction result is basically consistent with the child's actual change over time. Based on the c 1 to c 4 The adjustment can make the range of various prediction values ​​conform to 0 to 1, and can also make the prediction accuracy for male children reach 96.7%, and the prediction accuracy for female children reach 92.6%. During medical review, referral, evaluation, and statistics, without comprehensive testing of children, the initial diagnosis of children's health status can be made according to the predicted value of children's health status, which can ensure the accuracy of the diagnosis to a certain extent without affecting the timing of the consultation. In the subsequent consultation process, the health status of the child can be further updated through full inspection, that is, the actual test results are used to replace the predicted results, and the subsequent consultation process is executed. On the one hand, it ensures that the consultation and referral will not be stuck in the file evaluation link, and on the other hand, it reduces the labor cost of the reception staff (such as nurses) for the initial diagnosis, and improves the fluency of the overall process of consultation and referral.

[0039] Furthermore, the referral registration module includes: a referral adding module, a referral query module and a referral form printing module;

[0040] The referral adding module is used to add the child referral record;

[0041] The referral query module is used to query the child referral record;

[0042] The referral form printing module is used to print the child referral record.

[0043] Furthermore, the referral assessment module includes: a child assessment file addition module, a child assessment record registration module and a child follow-up record registration module;

[0044] The child assessment file new module is used to establish the child assessment file;

[0045] The child assessment record registration module is used to register the child assessment record;

[0046] The child follow-up record registration module is used to register the child follow-up record.

[0047] Furthermore, the child referral record includes: name, gender, ID number, parents' names, parents' ID numbers, child's family allergy history, child's family disease history and congenital diseases.

[0048] Furthermore, the child assessment record includes: child basic information, child medical information, child auxiliary examination information and child assessment conclusion.

[0049] Furthermore, the data storage module adopts a structured database.

[0050] To achieve the purpose of the present invention, in a second aspect, the present invention also provides a method for evaluating referral for vaccination of children in special health conditions, comprising the following steps:

[0051] S1: The referral registration module adds the child referral record and stores it in the data storage module;

[0052] S2: The referral assessment module establishes the child file, registers the child assessment record and the child follow-up record, and stores the child file, child assessment record and child follow-up record in the data storage module;

[0053] S3: the assessment record query module queries the child assessment file and the child assessment record based on the data storage module;

[0054] S4: the assessment result query module queries the child assessment record based on the data storage module;

[0055] S5: The regional personnel file retrieval module queries the child assessment file, the child referral record and the child assessment record based on the data storage module;

[0056] S6: The regional referral situation statistics module counts the overall child referral situation in the management area based on the data storage module;

[0057] S7: The regional assessment situation statistics module counts the overall child assessment situation in the management area based on the data storage module;

[0058] S8: The regional follow-up situation statistics module counts the overall child follow-up situation in the management area based on the data storage module;

[0059] Wherein step S2 comprises:

[0060] S21: establishing a child health status model based on the child status information input by the evaluation clinic unit; wherein the child health status model includes description information of the child status information and a plurality of different branches, each of the branches is configured with one of the growth and development prediction equation, the intelligence and cognition prediction equation, the psychological behavior prediction equation, and the family environment prediction equation, and different branches are configured with different equations;

[0061] S22: Based on the child health status model, a state transfer matrix is ​​generated, where the state transfer matrix is ​​used to describe changes in the child's physiological and psychological states over time;

[0062] S23: Based on the state transfer matrix, predict the physiological state and psychological state of the child after a specified period of time, and obtain a predicted value of the child's health state for this visit;

[0063] S24: establishing a child assessment file including the child's basic information, the child's status information, and the child's health status prediction value;

[0064] The basic information of the child includes the child's gender, birth history, guardian information, registered place of residence, medical history, and allergy history.

[0065] The growth and development prediction equation is:

[0066]

[0067] Among them, t represents the current age of the child, Z t+n represents the predicted growth and development value of a child n years after age t, X represents the child's gender, x 1 represents the weight assigned to the child's gender in the growth and development prediction equation, B represents the child's birth history, b 1 represents the weight of the child's birth history in the growth and development prediction equation, M represents the child's medical history, m 1 represents the weight of the child's medical history in the growth and development prediction equation, A represents the child's allergy history, a 1 represents the weight of the child's allergy history in the growth and development prediction equation, D represents the child's registered residence, d1 represents the weight assigned to the child’s registered residence in the growth prediction equation, c 1 is the adjustment parameter used to adjust the range of growth and development prediction values, C 1 A standard growth curve that matches the child's gender. is the sum of the height and weight corresponding to age t+n;

[0068] The intelligence cognition prediction equation is:

[0069]

[0070] Among them, t represents the current age of the child, I t+n represents the predicted value of intelligence and cognition of children n years after age t, X represents the gender of the child, and x 2 represents the weight assigned to the child's gender in the intelligence and cognitive prediction equation, B represents the child's birth history, b 2 represents the weight of the child's birth history in the intelligence and cognitive prediction equation, M represents the child's medical history, m 2 represents the weight of the child's medical history in the intelligence and cognitive prediction equation, A represents the child's allergy history, a 2 represents the weight assigned to the child's allergy history in the intelligence and cognitive prediction equation, c 2 is the adjustment parameter used to adjust the range of the predicted value of intelligence cognition, C 2 For the intelligence development curve, is the intelligence value corresponding to age t+n;

[0071] The psychological behavior prediction equation is:

[0072]

[0073] Among them, t represents the current age of the child, P t+n represents the predicted value of the child's psychological behavior n years from the age of t, X represents the child's gender, x 3 represents the weight assigned to the child's gender in the psychological behavior prediction equation, M represents the child's medical history, m 3 represents the weight of the child's medical history in the psychological behavior prediction equation, A represents the child's allergy history, a 3 represents the weight of children’s allergy history in the psychological behavior prediction equation, c 3 is the adjustment parameter used to adjust the range of psychological behavior prediction values, C 3 is the Yerkes-Dodson curve, is the efficiency level value corresponding to the motivation level value q;

[0074] The motivation level value q is determined based on a predefined three-dimensional scatter plot of motivation level, in which the horizontal axis of any point represents the age of the child, the vertical axis represents the sum of the number of previous diseases and the number of allergies of the child, and the vertical axis represents the corresponding motivation level value;

[0075] The family environment prediction equation is:

[0076] E t+n =(x 1 *X+b 1 *B+g 1 *G+d 1 *D) / c 4 *F t+n

[0077] Among them, t represents the current age of the child, E t+n represents the predicted value of the family environment of a child n years after age t, X represents the child's gender, x 2 represents the weight assigned to the child's gender in the family environment prediction equation, B represents the child's birth history, b 2 represents the weight of the child's birth history in the family environment prediction equation, G represents the guardian information, g 1 represents the weight of the guardian information in the family environment prediction equation, D represents the child’s registered residence, d 1 represents the weight assigned to the child’s registered residence in the family environment prediction equation, c 4 is the adjustment parameter used to adjust the range of the predicted value of the home environment, F t+n It represents the family environment scale value of a child n years after the age of t, which is obtained based on the question-answering model analysis; wherein the input of the question-answering model is the child's gender, child's date of birth, guardian information, child's medical history, and child's allergy history, and the model simulates answering preset questions of the family environment scale based on the input, and outputs the family environment scale value as the result value.

[0078] The referral assessment module uses the following formula to obtain the predicted value of the child's health status:

[0079] L 2 =H·L 1 +Q;

[0080] Among them, H is the state transfer matrix, L 1 is the predicted value of the child’s health status at the last visit, L 2 is the predicted value of the child's health status during this visit, and Q is the process noise matrix;

[0081] Wherein, in step S3, the assessment record query module queries the child assessment file based on the data storage module, including:

[0082] The assessment record query module queries the child's health status prediction value of each previous visit to the doctor in the child assessment file based on the data storage module.

[0083] Furthermore, in step S4, the evaluation result query module queries the child evaluation record based on the data storage module, including: code scanning query and conditional query.

[0084] Furthermore, after the regional referral situation statistics module has counted and obtained the overall child referral situation in the management area, the overall child referral situation in the management area can be exported with one click;

[0085] After the regional assessment situation statistics module has counted and obtained the overall child assessment situation in the management area, the overall child assessment situation in the management area is exported with one click;

[0086] After the regional follow-up situation statistics module counts and obtains the overall child follow-up situation in the management area, the overall child follow-up situation in the management area is exported with one click.

[0087] To achieve the purpose of the present invention, in a third aspect, the present invention further provides a computer program product, the computer program product comprising a computer program;

[0088] When executed by a processor, the computer program implements the vaccination referral assessment method for children with special health conditions as described in any one of the second aspects.

[0089] Compared with the prior art, the present invention has the following beneficial technical effects:

[0090] The present invention realizes the information management of the assessment and guidance of children with special health conditions, and realizes information management such as referral of children with special health conditions, health status assessment, personalized guidance on vaccination, and vaccination safety monitoring. It truly embodies the integration of medical treatment and prevention, and information sharing, and realizes the interconnection between assessment hospitals and vaccination work sites, which greatly improves the efficiency of assessment work and greatly ensures the safe implementation of vaccination for children with special health conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0091] Figure 1 is a schematic diagram of modules of a referral evaluation system for immunization of children in special health conditions according to an embodiment;

[0092] Figure 2 The present invention is a flowchart of a method for evaluating referral of children with special health conditions for vaccination according to an embodiment;

[0093] Figure 3 is a flowchart of a method for establishing a child assessment file according to an embodiment; Figure 4 The present invention is a schematic diagram of a use process of a vaccination referral evaluation system for children with special health conditions according to an embodiment. DETAILED DESCRIPTION

[0094] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0095] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0096] refer to Figure 1 As shown, Figure 1 The module diagram of a referral evaluation system for vaccination of children in special health conditions according to an embodiment is shown. A referral evaluation system for vaccination of children in special health conditions includes: a referral registration module, a referral evaluation module, an evaluation record query module, an evaluation result query module, a regional personnel file retrieval module, a regional referral situation statistics module, a regional evaluation situation statistics module, a regional follow-up situation statistics module and a data storage module;

[0097] The referral registration module is used for the vaccination clinic to add, query and print children's referral records;

[0098] The referral assessment module is used for the assessment outpatient unit to establish a child assessment file, register child assessment records and child follow-up records;

[0099] The assessment record query module is used for the assessment clinic to query the child assessment file and the child assessment record;

[0100] The evaluation result query module is used for the vaccination clinic to query the child evaluation record;

[0101] The regional personnel file retrieval module is used for the disease control unit and the evaluation clinic unit to query the child evaluation file, the child referral record and the child evaluation record;

[0102] The regional referral situation statistics module is used for the disease control unit to manage the overall child referral situation in the area based on the child referral record statistics;

[0103] The regional assessment situation statistics module is used for the disease control unit to manage the overall child assessment situation in the area based on the child assessment records;

[0104] The regional follow-up situation statistics module is used for the disease control unit to manage the overall child follow-up situation in the area based on the child follow-up records;

[0105] The data storage module is used to store the child referral record, the child assessment file, the child assessment record and the child follow-up record;

[0106] The referral assessment module uses the following method for the assessment clinic to establish a child assessment file:

[0107] Based on the child status information input by the evaluation clinic unit, a child health status model is established; wherein the child health status model includes descriptive information of the child status information and a plurality of different branches, each of the branches is configured with one of the growth and development prediction equation, the intelligence and cognition prediction equation, the psychological behavior prediction equation, and the family environment prediction equation, and different branches are configured with different equations;

[0108] Based on the child health status model, a state transfer matrix is ​​generated, wherein the state transfer matrix is ​​used to describe the changes of the child's physiological state and psychological state over time;

[0109] Based on the state transfer matrix, predict the physiological state and psychological state of the child after a specified period of time, and obtain the predicted value of the child's health state for this visit;

[0110] Establishing a child assessment file including basic information of the child, child status information, and predicted value of the child's health status;

[0111] The basic information of the child includes the child's gender, birth history, guardian information, registered place of residence, medical history, and allergy history.

[0112] The growth and development prediction equation is:

[0113]

[0114] Among them, t represents the current age of the child, Z t+n represents the predicted growth and development value of a child n years after age t, X represents the child's gender, x 1 represents the weight assigned to the child's gender in the growth and development prediction equation, B represents the child's birth history, b1 represents the weight of the child's birth history in the growth and development prediction equation, M represents the child's medical history, m 1 represents the weight of the child's medical history in the growth and development prediction equation, A represents the child's allergy history, a 1 represents the weight of the child's allergy history in the growth and development prediction equation, D represents the child's registered residence, d 1 represents the weight assigned to the child’s registered residence in the growth prediction equation, c 1 is the adjustment parameter used to adjust the range of growth and development prediction values, C 1 A standard growth curve that matches the child's gender. is the sum of the height and weight corresponding to age t+n;

[0115] For example, the standard growth curve may be the standard growth curve defined by Chinese Pediatrics.

[0116] The intelligence cognition prediction equation is:

[0117]

[0118] Among them, t represents the current age of the child, I t+n represents the predicted value of intelligence and cognition of children n years after age t, X represents the gender of the child, and x 2 represents the weight assigned to the child's gender in the intelligence and cognitive prediction equation, B represents the child's birth history, b 2 represents the weight of the child's birth history in the intelligence and cognitive prediction equation, M represents the child's medical history, m 2 represents the weight of the child's medical history in the intelligence and cognitive prediction equation, A represents the child's allergy history, a 2 represents the weight assigned to the child's allergy history in the intelligence and cognitive prediction equation, c 2 is the adjustment parameter used to adjust the range of the predicted value of intelligence cognition, C 2 For the intelligence development curve, is the intelligence value corresponding to age t+n;

[0119] For example, the intelligence development curve is preferably the Bailey curve, but it can also be other types of intelligence development curves, such as the Bloom's curve.

[0120] The psychological behavior prediction equation is:

[0121]

[0122] Among them, t represents the current age of the child, P t+n represents the predicted value of the child's psychological behavior n years from the age of t, X represents the child's gender, x3 represents the weight assigned to the child's gender in the psychological behavior prediction equation, M represents the child's medical history, m 3 represents the weight of the child's medical history in the psychological behavior prediction equation, A represents the child's allergy history, a 3 represents the weight of children’s allergy history in the psychological behavior prediction equation, c 3 is the adjustment parameter used to adjust the range of psychological behavior prediction values, C 3 is the Yerkes-Dodson curve, is the efficiency level value corresponding to the motivation level value q;

[0123] The motivation level value q is determined based on a predefined three-dimensional scatter plot of motivation level, in which the horizontal axis of any point represents the age of the child, the vertical axis represents the sum of the number of previous diseases and the number of allergies of the child, and the vertical axis represents the corresponding motivation level value;

[0124] The family environment prediction equation is:

[0125] E t+n =(x 1 *X+b 1 *B+g 1 *G+d 1 *D) / c 4 *F t+n

[0126] Among them, t represents the current age of the child, E t+n represents the predicted value of the family environment of a child n years after age t, X represents the child's gender, x 2 represents the weight assigned to the child's gender in the family environment prediction equation, B represents the child's birth history, b 2 represents the weight of the child's birth history in the family environment prediction equation, G represents the guardian information, g 1 represents the weight of the guardian information in the family environment prediction equation, D represents the child’s registered residence, d 1 represents the weight assigned to the child’s registered residence in the family environment prediction equation, c 4 is the adjustment parameter used to adjust the range of the predicted value of the home environment, F t+n It represents the family environment scale value of a child n years after the age of t, which is obtained based on the question-answering model analysis; wherein the input of the question-answering model is the child's gender, child's date of birth, guardian information, child's medical history, and child's allergy history, and the model simulates answering preset questions of the family environment scale based on the input, and outputs the family environment scale value as the result value.

[0127] The referral assessment module uses the following formula to obtain the predicted value of the child's health status:

[0128] L 2 =H·L 1 +Q;

[0129] Among them, H is the state transfer matrix, L 1 is the predicted value of the child’s health status at the last visit, L 2 is the predicted value of the child's health status during this visit, and Q is the process noise matrix;

[0130] The assessment record query module is used for the assessment clinic to query the child assessment file for the predicted value of the child's health status during each visit to the clinic.

[0131] In one embodiment, the referral registration module includes: a referral adding module, a referral query module and a referral form printing module;

[0132] The referral adding module is used to add the child referral record;

[0133] The referral query module is used to query the child referral record;

[0134] The referral form printing module is used to print the child referral record.

[0135] In one embodiment, the referral assessment module includes: a child assessment file adding module, a child assessment record registration module and a child follow-up record registration module;

[0136] The child assessment file new module is used to establish the child assessment file;

[0137] The child assessment record registration module is used to register the child assessment record;

[0138] The child follow-up record registration module is used to register the child follow-up record.

[0139] In one embodiment, the child referral record includes: name, gender, ID number, parents' names, parents' ID numbers, child's family allergy history, child's family disease history and congenital diseases.

[0140] In one embodiment, the child assessment record includes: basic information of the child, medical information of the child, auxiliary examination information of the child and the conclusion of the child assessment.

[0141] In one embodiment, the data storage module adopts a structured database.

[0142] In one embodiment, Figure 2As shown, a method for evaluating referral for vaccination of children with special health conditions is also provided, comprising the following steps:

[0143] S1: The referral registration module adds the child referral record and stores it in the data storage module;

[0144] S2: The referral assessment module establishes the child file, registers the child assessment record and the child follow-up record, and stores the child file, child assessment record and child follow-up record in the data storage module;

[0145] S3: the assessment record query module queries the child assessment file and the child assessment record based on the data storage module;

[0146] S4: the assessment result query module queries the child assessment record based on the data storage module;

[0147] S5: The regional personnel file retrieval module queries the child assessment file, the child referral record and the child assessment record based on the data storage module;

[0148] S6: The regional referral situation statistics module counts the overall child referral situation in the management area based on the data storage module;

[0149] S7: The regional assessment situation statistics module counts the overall child assessment situation in the management area based on the data storage module;

[0150] S8: The regional follow-up situation statistics module counts the overall child follow-up situation in the management area based on the data storage module;

[0151] In one embodiment, Figure 3 As shown, a method for evaluating a child's profile is also provided, comprising the following steps:

[0152] S21: establishing a child health status model based on the child status information input by the assessment clinic unit;

[0153] The child health status model includes the description information of the child status information and a plurality of different branches, each of the branches is configured with one of the growth and development prediction equation, the intelligence and cognition prediction equation, the psychological behavior prediction equation, and the family environment prediction equation, and different branches are configured with different equations;

[0154] S22: Based on the child health status model, a state transfer matrix is ​​generated, where the state transfer matrix is ​​used to describe changes in the child's physiological and psychological states over time;

[0155] S23: Based on the state transfer matrix, predict the physiological state and psychological state of the child after a specified period of time, and obtain a predicted value of the child's health state for this visit;

[0156] S24: establishing a child assessment file including the child's basic information, the child's status information, and the child's health status prediction value;

[0157] The basic information of the child includes the child's gender, birth history, guardian information, registered place of residence, medical history, and allergy history.

[0158] The growth and development prediction equation is:

[0159]

[0160] Among them, t represents the current age of the child, Z t+n represents the predicted growth and development value of a child n years after age t, X represents the child's gender, x 1 represents the weight assigned to the child's gender in the growth and development prediction equation, B represents the child's birth history, b 1 represents the weight of the child's birth history in the growth and development prediction equation, M represents the child's medical history, m 1 represents the weight of the child's medical history in the growth and development prediction equation, A represents the child's allergy history, a 1 represents the weight of the child's allergy history in the growth and development prediction equation, D represents the child's registered residence, d 1 represents the weight assigned to the child’s registered residence in the growth prediction equation, c 1 is the adjustment parameter used to adjust the range of growth and development prediction values, C 1 A standard growth curve that matches the child's gender. is the sum of the height and weight corresponding to age t+n;

[0161] For example, the standard growth curve may be the standard growth curve defined by Chinese Pediatrics.

[0162] The intelligence cognition prediction equation is:

[0163]

[0164] Among them, t represents the current age of the child, I t+n represents the predicted value of intelligence and cognition of children n years after age t, X represents the gender of the child, and x 2 represents the weight assigned to the child's gender in the intelligence and cognitive prediction equation, B represents the child's birth history, b 2represents the weight of the child's birth history in the intelligence and cognitive prediction equation, M represents the child's medical history, m 2 represents the weight of the child's medical history in the intelligence and cognitive prediction equation, A represents the child's allergy history, a 2 represents the weight assigned to the child's allergy history in the intelligence and cognitive prediction equation, c 2 is the adjustment parameter used to adjust the range of the predicted value of intelligence cognition, C 2 For the intelligence development curve, is the intelligence value corresponding to age t+n;

[0165] For example, the intelligence development curve is preferably the Bailey curve, but it can also be other types of intelligence development curves, such as the Bloom's curve.

[0166] The psychological behavior prediction equation is:

[0167]

[0168] Among them, t represents the current age of the child, P t+n represents the predicted value of the child's psychological behavior n years from the age of t, X represents the child's gender, x 3 represents the weight assigned to the child's gender in the psychological behavior prediction equation, M represents the child's medical history, m 3 represents the weight of the child's medical history in the psychological behavior prediction equation, A represents the child's allergy history, a 3 represents the weight of children’s allergy history in the psychological behavior prediction equation, c 3 is the adjustment parameter used to adjust the range of psychological behavior prediction values, C 3 is the Yerkes-Dodson curve, is the efficiency level value corresponding to the motivation level value q;

[0169] The motivation level value q is determined based on a predefined three-dimensional scatter plot of motivation level, in which the horizontal axis of any point represents the age of the child, the vertical axis represents the sum of the number of previous diseases and the number of allergies of the child, and the vertical axis represents the corresponding motivation level value;

[0170] The family environment prediction equation is:

[0171] E t+n =(x 1 *X+b 1 *B+g 1 *G+d 1 *D) / c 4 *F t+n

[0172] Among them, t represents the current age of the child, Et+n represents the predicted value of the family environment of a child n years after age t, X represents the child's gender, x 2 represents the weight assigned to the child's gender in the family environment prediction equation, B represents the child's birth history, b 2 represents the weight of the child's birth history in the family environment prediction equation, G represents the guardian information, g 1 represents the weight of the guardian information in the family environment prediction equation, D represents the child’s registered residence, d 1 represents the weight assigned to the child’s registered residence in the family environment prediction equation, c 4 is the adjustment parameter used to adjust the range of the predicted value of the home environment, F t+n It represents the family environment scale value of a child n years after the age of t, which is obtained based on the question-answering model analysis; wherein the input of the question-answering model is the child's gender, child's date of birth, guardian information, child's medical history, and child's allergy history, and the model simulates answering preset questions of the family environment scale based on the input, and outputs the family environment scale value as the result value.

[0173] The referral assessment module uses the following formula to obtain the predicted value of the child's health status:

[0174] L 2 =H·L 1 +Q;

[0175] Among them, H is the state transfer matrix, L 1 is the predicted value of the child’s health status at the last visit, L 2 is the predicted value of the child's health status during this visit, and Q is the process noise matrix;

[0176] Wherein, in step S3, the assessment record query module queries the child assessment file based on the data storage module, including:

[0177] The assessment record query module queries the child's health status prediction value of each previous visit to the doctor in the child assessment file based on the data storage module.

[0178] In one embodiment, in step S4, the assessment result query module queries the child assessment record based on the data storage module, including: code scanning query and conditional query.

[0179] In one embodiment, after the regional referral situation statistics module counts and obtains the overall child referral situation in the management area, the overall child referral situation in the management area is exported with one click;

[0180] After the regional assessment situation statistics module has counted and obtained the overall child assessment situation in the management area, the overall child assessment situation in the management area is exported with one click;

[0181] After the regional follow-up situation statistics module counts and obtains the overall child follow-up situation in the management area, the overall child follow-up situation in the management area is exported with one click.

[0182] In one embodiment, a computer program product is also provided.

[0183] The computer program product comprises a computer program;

[0184] When executed by a processor, the computer program implements the vaccination referral assessment method for children with special health conditions as described in any one of the second aspects.

[0185] In one embodiment, referral registration module: This module is used by immunization clinics to add and query referral records. The referral record content mainly includes the basic information of the child's file, name, gender, ID number, parents' names, parents' ID numbers, and children's family history information, allergy history, family disease history, congenital diseases, etc., and supports printing of referral forms.

[0186] Referral assessment module: This module is used by assessment outpatient units to establish child assessment files and register assessment records. It mainly includes registering children’s basic information, registering children’s medical information, registering children’s auxiliary examination information, registering assessment conclusions, etc.

[0187] Assessment record query module: This module is used by outpatient assessment units to query the assessment records of each assessment doctor. You can query the assessment records based on referral, non-referral, completed, invalidated and other conditions, and view the detailed records of each child's assessment. The data in this module is obtained from the assessment registration module, and can be queried in this module after the assessment registration is completed.

[0188] Evaluation result query module: This module is used by vaccination clinics. Vaccination clinics can retrieve the evaluation conclusions of children evaluated by the evaluation clinic through the vaccination client system through interface calls. It supports code scanning query and conditional query. Vaccination clinics carry out subsequent personalized vaccination work based on the evaluation conclusions. The code scanning query uses an external barcode gun to scan the code, and the code scanned comes from the evaluation form printed by the referral evaluation module.

[0189] Regional personnel file retrieval module: This module is used by disease control and assessment clinics. It allows disease control and assessment clinics to query individual personnel file information under the management area. It supports unit personnel to query individual referral child files within the jurisdiction, as well as referral records, assessment records, etc.

[0190] Regional referral statistics module: This module is used by disease control and prevention units to count the overall referral situation in the area under their management. It supports disease control and prevention managers to count the number of referrals in each region and unit within their jurisdiction by region, date, and reason for referral.

[0191] Regional assessment statistics module: This module is used by disease control and prevention units for the overall assessment of the area under the disease control and prevention statistics management. It supports disease control and prevention managers to count the number of outpatients, referrals, and assessments in each region and unit within the jurisdiction by date and conclusion.

[0192] Regional follow-up statistics module: This module is used by disease control and prevention units for the overall follow-up situation in the area under the management of the disease control and prevention statistics office. It supports disease control and prevention managers to query the summary of follow-up records according to administrative divisions, evaluation conclusions, follow-up dates, follow-up results and other conditions.

[0193] In one embodiment, Figure 4 As shown, the following operation process is adopted:

[0194] When children with special health conditions go to the vaccination unit for routine vaccination, the outpatient doctor of the vaccination unit will use the referral registration module of the system of the present invention to register the referral record of the child, register the basic archival information and family history information of the child, and print a referral form to give to the child's parents.

[0195] The parents take the above-mentioned printed referral form to the evaluation outpatient hospital (i.e., the evaluation outpatient unit), and the evaluation outpatient doctor uses the referral evaluation module of the system of the present invention to establish the child's evaluation file and register the evaluation record. The child's evaluation file can be established by scanning the referral form brought by the parents for quick file establishment, or various information can be filled in for ordinary file establishment. After the file is established, the doctor will register the evaluation record, including the evaluated disease, the incidence of the disease, whether surgery is required, etc. The code scanning query adopts the external barcode gun scanning method, and the scanned code source is the evaluation form printed by the referral evaluation module. The referral evaluation module is provided with a file creation button. Clicking the file creation button can call the external barcode gun to scan the evaluation form printed by the referral evaluation module. The page automatically fills in the relevant information of the child's file, reducing the workload of the operator of this system.

[0196] After the parents have completed various examinations with their children, the doctor at the outpatient hospital uses the referral evaluation module of the system of the present invention to register the medical records, and registers the evaluation conclusions based on the medical records. The evaluation conclusions include personalized vaccination guidance for non-vaccination and subsequent vaccinations, and prints an evaluation sheet and gives it to the child's parents.

[0197] If a child with a special health condition needs a second assessment, the assessment clinician can use the referral assessment module of the system of the present invention to directly query the file, view the historical assessment records, and continue to register the assessment records for the second assessment.

[0198] Doctors in outpatient hospitals need to query the evaluation status of individual children in their daily work. The evaluation record query module of the system of the present invention supports the use of a combination of conditions such as child name, evaluation date, evaluation doctor, immunization card number, etc. to query the detailed file information, evaluation status, medical treatment status, evaluation conclusion, etc. of individual children, and generate an evaluation form. The doctor prints the evaluation form according to the needs of the parents and gives it to the parents of the children.

[0199] The parents take the printed evaluation form to the vaccination unit again, and the doctor in the vaccination unit outpatient department (i.e., vaccination outpatient department) will use the third-party vaccination client system to call the evaluation result query interface module of the system of the present invention to query the evaluation conclusion of the child, and carry out subsequent personalized vaccination work based on the evaluation conclusion.

[0200] In daily work supervision, disease control management personnel use the regional personnel file retrieval module of the system of the present invention to query the detailed file information, assessment status, medical treatment status, assessment conclusions, etc. of a single child.

[0201] In daily work supervision, disease control and prevention units and their management personnel use the regional referral statistics of the system of the present invention to count the number of referrals, the number of referral recipients, the referral completion rate, etc. in the area under their jurisdiction, and support export, so as to provide data basis for disease control and prevention units to analyze the progress of evaluation and referral work in the area under their jurisdiction.

[0202] In daily work supervision, disease control and prevention units use the regional assessment statistics of the system of the present invention to count the number of assessors, the number of people who have completed the assessment, the assessment completion rate, etc. in the area under their jurisdiction, and support export, so as to provide data basis for disease control and prevention units to analyze the progress of child assessment work in the area under their jurisdiction.

[0203] In daily work supervision, disease control and prevention units and disease control and prevention management personnel use the regional follow-up statistics of the system of the present invention to count the number of people who can be followed up, the number of people who have been followed up, the follow-up completion rate, the distribution of follow-up results, etc. in the area under their jurisdiction, and support export, so as to provide data basis for disease control and prevention units to analyze the progress of child assessment and follow-up work in the area under their jurisdiction.

[0204] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0205] It should be noted that the terms "first\second\third" involved in the embodiments of the present application are only used to distinguish similar objects, and do not represent a specific order for the objects. It is understandable that the specific order or sequence of "first\second\third" can be interchanged where permitted. It should be understood that the objects distinguished by "first\second\third" can be interchanged where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein.

[0206] The terms "including" and "having" and any variations thereof in the embodiments of the present application are intended to cover non-exclusive inclusions. For example, a process, method, device, product, or equipment that includes a series of steps or modules is not limited to the listed steps or modules, but may optionally include steps or modules that are not listed, or may optionally include other steps or modules that are inherent to these processes, methods, products, or equipment.

[0207] The above-mentioned embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent of the present application shall be subject to the attached claims.

Claims

1. A vaccination referral evaluation system for children with special health conditions, characterized in that: include: Referral registration module, referral assessment module, assessment record query module, assessment result query module, regional personnel file retrieval module, regional referral situation statistics module, regional assessment situation statistics module, regional follow-up situation statistics module and data storage module; The referral registration module is used for vaccination clinics to add, query and print children's referral records; The referral assessment module is used for the assessment outpatient unit to establish a child assessment file, register child assessment records and child follow-up records; The assessment record query module is used for the assessment clinic to query the child assessment file and the child assessment record; The evaluation result query module is used for the vaccination clinic to query the child evaluation record; The regional personnel file retrieval module is used for the disease control unit and the evaluation clinic unit to query the child evaluation file, the child referral record and the child evaluation record; The regional referral situation statistics module is used for the disease control unit to manage the overall child referral situation in the area based on the child referral record statistics; The regional assessment situation statistics module is used for the disease control unit to manage the overall child assessment situation in the area based on the child assessment records; The regional follow-up situation statistics module is used for the disease control unit to manage the overall child follow-up situation in the area based on the child follow-up records; The data storage module is used to store the child referral record, the child assessment file, the child assessment record and the child follow-up record; The referral assessment module uses the following method for the assessment clinic to establish a child assessment file: Based on the child status information input by the evaluation clinic unit, a child health status model is established; wherein the child health status model includes descriptive information of the child status information and a plurality of different branches, each of the branches is configured with one of the growth and development prediction equation, the intelligence and cognition prediction equation, the psychological behavior prediction equation, and the family environment prediction equation, and different branches are configured with different equations; Based on the child health status model, a state transfer matrix is ​​generated, wherein the state transfer matrix is ​​used to describe the changes of the child's physiological state and psychological state over time; Based on the state transfer matrix, predict the physiological state and psychological state of the child after a specified period of time, and obtain the predicted value of the child's health state for this visit; Establishing a child assessment file including basic information of the child, child status information, and predicted value of the child's health status; The basic information of the child includes the child's gender, birth history, guardian information, registered place of residence, medical history, and allergy history. The growth and development prediction equation is: Among them, t represents the current age of the child, Z t+n represents the predicted growth and development value of a child n years after the age of t, X represents the child's gender, x1 represents the weight of the child's gender in the growth and development prediction equation, B represents the child's birth history, b1 represents the weight of the child's birth history in the growth and development prediction equation, M represents the child's medical history, m1 represents the weight of the child's medical history in the growth and development prediction equation, A represents the child's allergy history, a1 represents the weight of the child's allergy history in the growth and development prediction equation, D represents the child's registered residence, d1 represents the weight of the child's registered residence in the growth and development prediction equation, c1 is the adjustment parameter used to adjust the range of the growth and development prediction value, C 1 A standard growth curve that matches the child's gender. is the sum of the height and weight corresponding to age t+n; The intelligence cognition prediction equation is: Among them, t represents the current age of the child, I t+n represents the predicted value of intelligence and cognition of children n years after the age of t, X represents the gender of the child, x2 represents the weight of the gender of the child in the prediction equation of intelligence and cognition, B represents the birth history of the child, b2 represents the weight of the birth history of the child in the prediction equation of intelligence and cognition, M represents the medical history of the child, m2 represents the weight of the medical history of the child in the prediction equation of intelligence and cognition, A represents the history of allergies of the child, a2 represents the weight of the history of allergies of the child in the prediction equation of intelligence and cognition, c2 is the adjustment parameter used to adjust the value range of the prediction value of intelligence and cognition, C 2 For the intelligence development curve, is the intelligence value corresponding to age t+n; The psychological behavior prediction equation is: Among them, t represents the current age of the child, P t+n represents the predicted value of the child's psychological behavior n years after the age of t, X represents the child's gender, x3 represents the weight of the child's gender in the psychological behavior prediction equation, M represents the child's medical history, m3 represents the weight of the child's medical history in the psychological behavior prediction equation, A represents the child's allergy history, a3 represents the weight of the child's allergy history in the psychological behavior prediction equation, c3 is the adjustment parameter used to adjust the range of the psychological behavior prediction value, C 3 is the Yerkes-Dodson curve, is the efficiency level value corresponding to the motivation level value q; The motivation level value q is determined based on a predefined three-dimensional scatter plot of motivation level, in which the horizontal axis of any point represents the age of the child, the vertical axis represents the sum of the number of previous diseases and the number of allergies of the child, and the vertical axis represents the corresponding motivation level value; The family environment prediction equation is: E t+n =(x1*X+b1*B+g1*G+d1*D) / c4*F t+n Among them, t represents the current age of the child, E t+n represents the predicted value of the family environment of a child n years after the age of t, X represents the child's gender, x2 represents the weight of the child's gender in the family environment prediction equation, B represents the child's birth history, b2 represents the weight of the child's birth history in the family environment prediction equation, G represents the guardian information, g1 represents the weight of the guardian information in the family environment prediction equation, D represents the child's registered residence, d1 represents the weight of the child's registered residence in the family environment prediction equation, c4 is the adjustment parameter used to adjust the range of the predicted value of the family environment, and F t+n It represents the family environment scale value of a child n years after the age of t, which is obtained based on the question-answering model analysis; wherein the input of the question-answering model is the child's gender, child's date of birth, guardian information, child's medical history, and child's allergy history, and the model simulates answering preset questions of the family environment scale based on the input, and outputs the family environment scale value as the result value. The referral assessment module uses the following formula to obtain the predicted value of the child's health status: L2=H·L1+Q; Among them, H is the state transfer matrix, L1 is the predicted value of the child's health status in the last visit, L2 is the predicted value of the child's health status in this visit, and Q is the process noise matrix; The assessment record query module is used for the assessment clinic to query the child assessment file for the predicted value of the child's health status during each visit to the clinic.

2. A vaccination referral evaluation system for children with special health conditions according to claim 1, characterized in that: It is characterized in that The referral registration module includes: a referral adding module, a referral query module and a referral form printing module; The referral adding module is used to add the child referral record; The referral query module is used to query the child referral record; The referral form printing module is used to print the child referral record.

3. The vaccination referral evaluation system for children with special health conditions according to claim 1, characterized in that: The referral assessment module includes: a child assessment file addition module, a child assessment record registration module and a child follow-up record registration module; The child assessment file new module is used to establish the child assessment file; The child assessment record registration module is used to register the child assessment record; The child follow-up record registration module is used to register the child follow-up record.

4. The vaccination referral evaluation system for children with special health conditions according to claim 1, characterized in that: The child referral record includes: name, gender, ID number, parents' names, parents' ID numbers, child's family allergy history, child's family disease history and congenital diseases.

5. The vaccination referral evaluation system for children with special health conditions according to claim 1, characterized in that: The child assessment record includes: child basic information, child medical information, child auxiliary examination information and child assessment conclusion.

6. The vaccination referral evaluation system for children with special health conditions according to claim 1, characterized in that: The data storage module adopts a structured database.

7. A method for evaluating referral for vaccination of children with special health conditions, characterized in that: The steps include: S1: The referral registration module adds the child referral record and stores it in the data storage module; S2: The referral assessment module establishes the child file, registers the child assessment record and the child follow-up record, and stores the child file, child assessment record and child follow-up record in the data storage module; S3: the assessment record query module queries the child assessment file and the child assessment record based on the data storage module; S4: the assessment result query module queries the child assessment record based on the data storage module; S5: The regional personnel file retrieval module queries the child assessment file, the child referral record and the child assessment record based on the data storage module; S6: The regional referral situation statistics module counts the overall child referral situation in the management area based on the data storage module; S7: The regional assessment situation statistics module counts the overall child assessment situation in the management area based on the data storage module; S8: The regional follow-up situation statistics module counts the overall child follow-up situation in the management area based on the data storage module; Wherein step S2 comprises: S21: establishing a child health status model based on the child status information input by the evaluation clinic unit; wherein the child health status model includes description information of the child status information and a plurality of different branches, each of the branches is configured with one of the growth and development prediction equation, the intelligence and cognition prediction equation, the psychological behavior prediction equation, and the family environment prediction equation, and different branches are configured with different equations; S22: Based on the child health status model, a state transfer matrix is ​​generated, where the state transfer matrix is ​​used to describe how the child's physiological and psychological states change over time; S23: Based on the state transfer matrix, predict the physiological state and psychological state of the child after a specified period of time, and obtain a predicted value of the child's health state for this visit; S24: establishing a child assessment file including the child's basic information, the child's status information, and the child's health status prediction value; The basic information of the child includes the child's gender, birth history, guardian information, registered place of residence, medical history, and allergy history. The growth and development prediction equation is: Among them, t represents the current age of the child, Z t+n represents the predicted growth and development value of a child n years after the age of t, X represents the child's gender, x1 represents the weight of the child's gender in the growth and development prediction equation, B represents the child's birth history, b1 represents the weight of the child's birth history in the growth and development prediction equation, M represents the child's medical history, m1 represents the weight of the child's medical history in the growth and development prediction equation, A represents the child's allergy history, a1 represents the weight of the child's allergy history in the growth and development prediction equation, D represents the child's registered residence, d1 represents the weight of the child's registered residence in the growth and development prediction equation, c1 is the adjustment parameter used to adjust the range of the growth and development prediction value, C 1 A standard growth curve that matches the child's gender. is the sum of the height and weight corresponding to age t+n; The intelligence cognition prediction equation is: Among them, t represents the current age of the child, I t+n represents the predicted value of intelligence and cognition of children n years after the age of t, X represents the gender of the child, x2 represents the weight of the gender of the child in the prediction equation of intelligence and cognition, B represents the birth history of the child, b2 represents the weight of the birth history of the child in the prediction equation of intelligence and cognition, M represents the medical history of the child, m2 represents the weight of the medical history of the child in the prediction equation of intelligence and cognition, A represents the history of allergies of the child, a2 represents the weight of the history of allergies of the child in the prediction equation of intelligence and cognition, c2 is the adjustment parameter used to adjust the value range of the prediction value of intelligence and cognition, C 2 For the intelligence development curve, is the intelligence value corresponding to age t+n; The psychological behavior prediction equation is: Among them, t represents the current age of the child, P t+n represents the predicted value of the child's psychological behavior n years after the age of t, X represents the child's gender, x3 represents the weight of the child's gender in the psychological behavior prediction equation, M represents the child's medical history, m3 represents the weight of the child's medical history in the psychological behavior prediction equation, A represents the child's allergy history, a3 represents the weight of the child's allergy history in the psychological behavior prediction equation, c3 is the adjustment parameter used to adjust the range of the psychological behavior prediction value, C 3 is the Yerkes-Dodson curve, is the efficiency level value corresponding to the motivation level value q; The motivation level value q is determined based on a predefined three-dimensional scatter plot of motivation level, in which the horizontal axis of any point represents the age of the child, the vertical axis represents the sum of the number of previous diseases and the number of allergies of the child, and the vertical axis represents the corresponding motivation level value; The family environment prediction equation is: E t+n =(x1*X+b1*B+g1*G+d1*D) / c4*F t+n Among them, t represents the current age of the child, E t+n represents the predicted value of the family environment of a child n years after the age of t, X represents the child's gender, x2 represents the weight of the child's gender in the family environment prediction equation, B represents the child's birth history, b2 represents the weight of the child's birth history in the family environment prediction equation, G represents the guardian information, g1 represents the weight of the guardian information in the family environment prediction equation, D represents the child's registered residence, d1 represents the weight of the child's registered residence in the family environment prediction equation, c4 is the adjustment parameter used to adjust the range of the predicted value of the family environment, and F t+n It represents the family environment scale value of a child n years after the age of t, which is obtained based on the question-answering model analysis; wherein the input of the question-answering model is the child's gender, child's date of birth, guardian information, child's medical history, and child's allergy history, and the model simulates answering preset questions of the family environment scale based on the input, and outputs the family environment scale value as the result value. The referral assessment module uses the following formula to obtain the predicted value of the child's health status: L2=H·L1+Q; Among them, H is the state transfer matrix, L1 is the predicted value of the child's health status in the last visit, L2 is the predicted value of the child's health status in this visit, and Q is the process noise matrix; Wherein, in step S3, the assessment record query module queries the child assessment file based on the data storage module, including: The assessment record query module queries the child's health status prediction value of each previous visit to the doctor in the child assessment file based on the data storage module.

8. The method for referral assessment of children with special health conditions for vaccination according to claim 7, characterized in that: In step S4, the evaluation result query module queries the child evaluation record based on the data storage module, including scanning code query and condition query.

9. The method for referral assessment of children with special health conditions for vaccination according to claim 7, characterized in that: After the regional referral situation statistics module has counted and obtained the overall child referral situation in the management area, the overall child referral situation in the management area is exported with one click; After the regional assessment situation statistics module has counted and obtained the overall child assessment situation in the management area, the overall child assessment situation in the management area is exported with one click; After the regional follow-up situation statistics module counts and obtains the overall child follow-up situation in the management area, the overall child follow-up situation in the management area is exported with one click.

10. A computer program product, characterized in that The computer program product comprises a computer program; When the computer program is executed by a processor, the computer program implements the method for referral assessment of children with special health conditions for vaccination according to any one of claims 7 to 8.

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