TWI895667B - Health management method,device,electronic equipment and storage media - Google Patents

Abstract

This application provides a health management method, device, electornic equipment and computer readable storage medium. The method includes: a processor performs obtaining an initial health questionnaire information and detection information; genarating a first test result based on the initial health questionnaire information and test information, and the first test result comprises several first health labels; obtaining a first health plan that matches each first health label; processing several first health schemes by the first preset processing rule to generate a fist comprehensive scheme; obtaining a fist detection information corresponding to the detection scheme; based on the first detection information, generating a second detection result, and the second detection result comprises several second health labels; obtaining the second health plan that matches each second health label; based on the second preset processing rule, several second health schemes are processed to generate the second comprehensive scheme. This application can improve the efficiency of group health management.

Description

Health management method, device, electronic equipment and computer-readable storage medium

This application relates to the field of health and medical technology, and in particular to a health management method, device, electronic equipment, and computer-readable storage medium.

With the continuous development of society and the continuous improvement of people's living standards, people are paying more and more attention to their health. Currently, a large number of groups, such as employees in labor-intensive industries and people living in densely populated areas, lack an efficient, intelligent, and low-cost health management approach.

For some groups, funding and other issues may prevent them from arranging health management. Furthermore, in traditional health management models, health management items are fixed each time, or group members, lacking relevant medical knowledge, make their own choices, making it impossible to tailor health testing items to their specific circumstances. This results in inadequate health monitoring, invisibility of the monitoring process, and inaccurate testing.

In light of this, this application proposes a health management method, apparatus, electronic device, and computer-readable storage medium to address issues such as inadequate health management and monitoring, process visibility, and inaccurate testing, which arise from the inability of individuals to customize health testing items to suit their health conditions due to a lack of medical knowledge.

In a first aspect, an embodiment of the present application provides a health management method, comprising: a processor obtaining an initial health questionnaire consultation and an initial test consultation stored in a memory; the processor generating a first test result based on the initial health questionnaire consultation and the initial test consultation, wherein the first test result includes a plurality of first health tags; the processor obtaining a first health plan matching each of the first health tags; and the processor processing the plurality of first health plans based on a first preset processing rule. Processing generates a first comprehensive solution, the first comprehensive solution including a detection solution; the processor obtains a first detection query corresponding to the detection solution; the processor generates a second detection result based on the first detection query, the second detection result including a plurality of second health tags; the processor obtains a second health solution matching each of the second health tags; the processor processes the plurality of second health solutions based on a second preset processing rule to generate a second comprehensive solution.

In one embodiment, the initial health questionnaire consultation includes a user consultation and a medical history consultation; and the initial testing consultation includes a physiological indicator consultation.

In one embodiment, the processor generates a first test result based on the initial health questionnaire consultation and the initial test consultation. The first test result includes a plurality of first health tags, including: if the user is determined to be in a first medical history group based on the medical history consultation and the user consultation, the processor obtains a plurality of first medical history tags that match the first medical history group; if the user is determined to be in a group without the first medical history based on the medical history consultation and the user consultation, the processor obtains a plurality of no-first medical history tags that match the group without the first medical history.

In one embodiment, the health management method further includes: the processor generating a plurality of physical fitness labels based on the user consultation and the physiological indicator consultation.

In one embodiment, the processor obtains a first health plan that matches each first health tag, including: the processor obtains a plurality of first medical history health plans corresponding to the plurality of first medical history tags based on the plurality of first medical history tags; the processor obtains a plurality of no-first medical history health plans corresponding to the plurality of no-first medical history tags based on the plurality of no-first medical history tags; and the processor obtains a plurality of physical fitness health plans corresponding to the plurality of physical fitness tags based on the plurality of physical fitness tags.

In one embodiment, the first medical history health plan includes a plurality of first medical history indicator tags and a first medical history detection frequency corresponding to the first medical history indicator tags; the no-first medical history health plan includes a no-first medical history indicator tag and a no-first medical history detection frequency corresponding to the no-first medical history indicator tag; and the physical fitness health plan includes a physical fitness indicator tag and a physical fitness detection frequency corresponding to the physical fitness indicator tag. The processor processes the plurality of first health plans based on a first preset processing rule to generate a first comprehensive plan, including: if the processor detects that the user belongs to a first medical history group, and the first medical history indicator tag and the physical fitness indicator tag are different, the processor records the first comprehensive plan as the first medical history indicator. If the processor detects that the user has no first medical history, and the no-first-medical-history indicator label and the no-first-medical-history indicator label are different from the physical index label, the processor records the first comprehensive solution as the highest value among the first medical history indicator label, the first medical history indicator label, and the physical index label. Otherwise, the processor records the first comprehensive solution as the highest value among the first medical history indicator label, the first medical history indicator label, and the physical index label. If the processor detects that the user has no first medical history, and the no-first-medical-history indicator label and the physical index label are different, the processor records the first comprehensive solution as the no-first-medical-history indicator label, the no-first-medical-history indicator label, and the physical index label. Otherwise, the processor records the first comprehensive solution as the highest value among the no-first-medical-history indicator label, the no-first-medical-history indicator label, and the physical index label.

In one embodiment, the second health tag includes a second medical history tag and a no second medical history tag; the second medical history tag includes a second medical history first-level tag and a second medical history second-level tag; the no second medical history tag includes a no second medical history first-level tag and a no second medical history second-level tag; the processor generates a second test result based on the first test consultation, including: the processor obtains the high-risk number corresponding to the second medical history tag; if the processor detects that the high-risk number corresponding to the second medical history tag is within the standard If the user's second medical history is within the preset high-risk range, the processor marks the user as having a first-level label with the second medical history; otherwise, the processor marks the user as having a second-level label with the second medical history; the processor obtains the corresponding high-risk counts from the label with no second medical history; if the processor detects that the corresponding high-risk counts from the label with no second medical history are within the preset high-risk range, the processor marks the user as having a first-level label with no second medical history; otherwise, the processor marks the user as having a second-level label with no second medical history.

In a second aspect, an embodiment of the present application provides a health management device, comprising: an initial information acquisition unit, configured to trigger a processor to acquire an initial health questionnaire and an initial test query stored in a memory; a first test result acquisition unit, configured to trigger the processor to generate a first test result based on the initial health questionnaire and the initial test query, wherein the first test result includes a plurality of first health tags; a first matching unit, configured to trigger the processor to acquire a first health plan matching each of the first health tags; and a first processing unit, configured to trigger the processor to perform a first health analysis on the plurality of first health plans based on a first preset processing rule. Processing generates a first comprehensive solution, the first comprehensive solution including a detection solution; a detection information acquisition unit configured to trigger the processor to obtain a first detection query corresponding to the detection solution; a second detection result acquisition unit configured to trigger the processor to generate a second detection result based on the first detection query, the second detection result including a plurality of second health tags; a second matching unit configured to trigger the processor to obtain a second health solution matching each of the second health tags; and a second processing unit configured to trigger the processor to process the plurality of second health solutions based on a second preset processing rule to generate a second comprehensive solution.

In a third aspect, an embodiment of the present application provides an electronic device, comprising a processor and a memory, wherein the memory is used to store instructions, and the processor is used to call the instructions in the memory, so that the electronic device executes the health management method described in the first aspect.

In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium that stores a computer program. When the computer program is executed on an electronic device, the electronic device executes the health management method described in the first aspect.

Compared to existing technologies, the aforementioned health management method, apparatus, electronic device, and computer-readable storage medium first utilize a processor to generate a first comprehensive plan based on the first test results generated by the initial health questionnaire and initial test consultation, retrieved from memory. The user can then perform health exercises and health tests based on the first comprehensive plan, obtaining a second test result corresponding to the first comprehensive plan within a preset timeframe. Finally, based on the second test result, the user can determine their health status and, at the same time, obtain a second comprehensive plan matching the second test result, allowing them to undergo another health test. This, on the one hand, can avoid the problem of low testing efficiency caused by the health status of offline testing personnel such as health managers, nurses, and doctors. On the other hand, it can recommend testing plans that suit the user's health conditions, making it easier for users without medical knowledge to conduct precise health tests. This reduces errors in test items caused by subjective judgment and improves test accuracy.

10: Health management device

11: Initial information acquisition unit

12: First test result acquisition unit

13: First matching unit

14: First processing unit

15: Detection information acquisition unit

16: Second detection result acquisition unit

17: Second matching unit

18: Second processing unit

100: Electronic equipment

20: Memory

30: Processor

40: Computer Program

S100, S200, S300, S400, S500, S600, S700, S800: Steps

Figure 1 is a schematic diagram of the steps of the health management method according to an embodiment of this application.

Figure 2 is a schematic diagram of the default diabetes determination rules in Figure 1.

Figure 3 is a schematic diagram of the default determination rule for non-diabetes in Figure 1.

Figure 4 is a schematic diagram of the structure of a health management device according to an embodiment of this application.

Figure 5 is a schematic diagram of the structure of an electronic device according to an embodiment of this application.

The following will clearly and completely describe the technical solutions in the embodiments of this application in conjunction with the accompanying figures. Obviously, the embodiments described are only part of the embodiments of this application, not all of them.

It should be noted that in the embodiments of this application, "at least one" refers to one or more, and "a plurality" refers to two or more. Unless otherwise defined, all technical and scientific terms used herein have the same meanings as commonly understood by persons skilled in the art in the art of this application. The terms used in this specification are for the purpose of describing specific embodiments only and are not intended to limit this application.

It should be noted that in the embodiments of this application, terms such as "first" and "second" are used solely for descriptive purposes and should not be construed as indicating or implying relative importance or a specific order. Features specified as "first" or "second" may explicitly or implicitly include one or more of the aforementioned features. In the description of the embodiments of this application, terms such as "exemplary" or "for example" are used to indicate examples, illustrations, or explanations. Any embodiment or design described as "exemplary" or "for example" in the embodiments of this application should not be construed as preferred or advantageous over other embodiments or designs. Rather, the use of terms such as "exemplary" or "for example" is intended to present the relevant concepts in a concrete manner.

Please refer to Figure 1, which is a schematic diagram of the steps of the health management method provided in an embodiment of this application.

Specifically, the health management method in this embodiment may include:

S100: A processor obtains an initial health questionnaire consultation and an initial test consultation stored in a memory.

In some embodiments, the initial health questionnaire consultation includes a user consultation and a medical history consultation, and the initial test consultation includes a physiological indicator consultation. For example, the user consultation may include the user's name, gender, date of birth, and height. The medical history consultation may include a current medical history consultation, a family history consultation, and a lifestyle consultation. The current medical history consultation may include questions such as whether the user suffers from hypertension, diabetes, hyperlipidemia, or fatty liver disease. The family history consultation may include questions such as whether the user's family has relatives suffering from hypertension, diabetes, hyperlipidemia, or fatty liver disease. The lifestyle consultation may include the user's daily drinking and smoking habits. Physiological indicator consultations may include body mass index, waist circumference, and systolic pressure. This application does not limit the specific content of user consultations, medical history consultations, and physiological indicator consultations.

Specifically, in some embodiments, a user logs into the health management system using a login name. The user then completes an initial health questionnaire based on their personal circumstances. The health management system then uses the completed initial health questionnaire to obtain an initial health consultation. The user then proceeds to the non-invasive testing phase, which primarily involves measuring the user's physiological indicators using an external medical device to generate a physiological indicator consultation. The external medical device then transmits the user's physiological indicator consultation to the health management system. In this embodiment, after logging into the health management system, the user can first complete the initial health questionnaire and then proceed with the non-invasive testing, or they can first undergo the non-invasive testing and then complete the initial health questionnaire. This application does not specify the order in which the user completes the initial health questionnaire and then undergoes the non-invasive testing.

S200: The processor generates a first test result based on the initial health questionnaire consultation and the initial test consultation. The first test result includes a plurality of first health tags.

In some embodiments, if the health management system detects that the user has a history of diabetes in the initial consultation questionnaire, the first health tag will be a tag related to the diabetes history, for example, a tag labeled "Diabetes - Blood Sugar to be Tested." Similarly, if the health management system detects that the user has a history of other medical conditions in the initial consultation questionnaire, the first health tag will be the medical history tag for the corresponding medical condition.

In some embodiments, if the health management system determines that a user belongs to a first medical history group based on medical history consultations and user consultations, it obtains several first medical history tags matching the first medical history group. For example, if a current medical history consultation reveals that the user has diabetes, the user is determined to be in the diabetic group. The system then obtains the diabetes medical history tags corresponding to the diabetic group. In this embodiment, the health management system stores medical history consultations and several corresponding medical history tags. For example, for diabetes, there are tags such as "Diabetes - Blood Sugar to be Measured," "Diabetes - Blood Lipids to be Measured," and "Diabetes - Cholesterol to be Measured." This embodiment uses two examples, one for a diabetic user and one for a non-diabetic user, to illustrate the system.

If the health management system determines that the user is a person with no first medical history based on the medical history consultation and the user consultation, it obtains several no first medical history labels that match the person with no first medical history. For example, if it is obtained in the current medical history consultation that the user does not have diabetes, the user is determined to be a person with no diabetes. In order to further prevent problems before they occur and prevent users from having hidden diabetes, the user's diabetes assessment value can be assessed based on the diabetes assessment form, and then the corresponding no diabetes label can be matched based on the assessment value. For example, the health management system compares the diabetes assessment form based on the initial health questionnaire consultation and the initial test consultation. The assessment rules are shown in Table 1. The scores corresponding to each scoring indicator are added to obtain the assessment value. If the assessment value is less than 25, the user is matched with the no diabetes-blood sugar to be assessed label; otherwise, the user is matched with the no diabetes-blood sugar to be measured label.

In some embodiments, the health management system can generate several physical fitness labels based on user consultations and physiological indicator consultations. For example, the health management system extracts the user's height information from the user consultation and the user's weight information from the physiological indicator consultation. Based on the user's height and weight information, the system calculates a body mass index (BMI). Finally, the system matches the user with a corresponding physical fitness label based on the BMI. Physical fitness labels may include a BMI-normal weight label, a BMI-underweight label, a BMI-overweight label, and a BMI-obese label.

S300: The processor obtains a first health plan that matches each first health tag.

In one embodiment, if the first health tag includes several first medical history tags, the health management system obtains several first medical history health plans corresponding to the several first medical history tags based on the several first medical history tags. For example, if the first medical history tags include a diabetes-blood sugar to be measured tag, the health management system will obtain a health plan corresponding to the diabetes-blood sugar to be measured tag based on the diabetes-blood sugar to be measured tag. The first medical history health plan includes a first medical history indicator tag and the first medical history detection frequency corresponding to the first medical history indicator tag. The health management system's default database stores each first health tag and the first health plan that matches the first health tag. For example, if the health management system matches a user with the "Diabetes - Blood Sugar to be measured" tag, it will obtain the primary health plan corresponding to the "Diabetes - Blood Sugar to be measured" tag: "Blood pressure twice a week, blood sugar once a week, blood lipids once a month, and blood uric acid once a month." Blood pressure, blood sugar, blood lipids, and blood uric acid are the primary medical history indicator tags, and twice a week is the corresponding testing frequency for blood pressure.

If the first health tag includes several no-first-medical-history tags, the health management system obtains several no-first-medical-history health plans corresponding to the no-first-medical-history tags based on the no-first-medical-history tags. The no-first-medical-history health plan includes a no-first-medical-history indicator tag and the no-first-medical-history test frequency corresponding to the no-first-medical-history indicator tag.

If the first health tag includes multiple physical fitness tags, the health management system obtains multiple physical fitness plans based on these tags. These plans include physical fitness indicator tags and the physical fitness test frequencies corresponding to these tags. For example, if the health management system matches the user's physical fitness tag with a normal BMI, it obtains a health plan corresponding to a normal BMI: "Check blood pressure once a week and weight once a month." Blood pressure and weight are physical fitness indicator tags.

S400: The processor processes the first health plans based on a first preset processing rule to generate a first comprehensive plan, where the first comprehensive plan includes a detection plan.

In one embodiment, if the user is a person with a first medical history and the first medical history indicator label and the physical fitness indicator label are different, the health management system records the first comprehensive plan as the first medical history indicator label, the first medical history test frequency, and the physical fitness indicator label, the physical fitness test frequency. Otherwise, the health management system records the first comprehensive plan as the highest value of the first medical history indicator label, the first medical history test frequency, and the physical fitness test frequency. For example, if the user is a diabetic, the corresponding diabetes-blood sugar measurement health plan is: "blood pressure twice a week, blood sugar once a week, blood lipids once a month, blood uric acid once a month"; the corresponding physical fitness health plan for this user is: "blood pressure once a week, weight once a month." The first default processing rule is to sequentially compare the diabetes health plan and the physical health plan to see if they have the same indicator tags. If both the diabetes health plan and the physical health plan have the blood pressure indicator tag, the highest test frequency of the two is taken, that is, blood pressure twice a week. Finally, the different indicator tags and the corresponding test frequencies are combined to obtain the final health plan: "Blood pressure twice a week, blood sugar once a week, blood lipids once a month, blood uric acid once a month, weight once a month." At the same time, based on the final health plan, the health management system matches the "Diabetes - Blood Sugar to be measured" questionnaire, the "BMI - Normal" questionnaire, "Diabetes - Blood Sugar to be measured" health education, "BMI - Normal" health education, and exercise methods. The "Diabetes - Blood Sugar Unmeasured" questionnaire and the "BMI - Normal" questionnaire can be used to assess users' knowledge of their own labels. The "Diabetes - Blood Sugar Unmeasured" and "BMI - Normal" health education programs can help users incorporate health knowledge into their daily lives, and the "Exercise Methods" questionnaire can provide users with exercise recommendations.

In some embodiments, if the user is in the group with no first medical history, and the no-first-medical-history indicator tag and the physical fitness indicator tag are different, the health management system records the first comprehensive plan as the no-first-medical-history indicator tag, the no-first-medical-history test frequency, and the physical fitness indicator tag and the physical fitness test frequency. Otherwise, the health management system records the first comprehensive plan as the highest value of the no-first-medical-history indicator tag, the no-first-medical-history test frequency, and the physical fitness test frequency. The process for obtaining the final health plan when the user is in the group with no first medical history is the same as the process for obtaining the final health plan when the user is in the group with a first medical history, and this application will not elaborate on this further.

S500: The processor obtains a first detection consultation corresponding to the detection solution.

In some embodiments, users can perform exercise and health checks based on the first comprehensive plan within a preset time period. For example, users can perform daily health learning and exercise based on the "Diabetes - Blood Sugar to be Measured" health education and "BMI - Normal" health education. At the same time, the user's knowledge of "Diabetes - Blood Sugar to be Measured" and "BMI - Normal" is assessed by filling out the "Diabetes - Blood Sugar to be Measured" questionnaire and the "BMI - Normal" questionnaire. The user then performs health checks based on the first comprehensive plan within the preset time period. The health checks include diabetes tests and physical fitness tests. Based on the user's health check records, the health management system obtains the user's health check consultation, i.e., the first check consultation. In this embodiment, the default period may be 1 month. In other embodiments, the default period may be 2 months or 4 months, and may be set based on actual circumstances.

S600: The processor generates a second detection result based on the first detection consultation, where the second detection result includes a plurality of second health tags.

In some embodiments, the health management system obtains the user's first test consultation, and then re-judges the default test method to generate a second test result. The first test consultation includes the number of tests and the test values of each health indicator of the user. Among them, the second health label includes a second medical history label and a no second medical history label; the second medical history label includes a second medical history first-level label and a second medical history second-level label. The no second medical history label includes a no second medical history first-level label and a no second medical history second-level label. For example, for the history of diabetes, the first-level diabetes label is: Diabetes-high blood sugar risk group and Diabetes-low blood sugar risk group. The second-level diabetes label is: Diabetes-poor blood sugar control group, Diabetes-good blood sugar control group and Diabetes-blood sugar abnormalities to be measured. For users with no history of diabetes, the first-level "no diabetes" labels are: "No diabetes - High blood sugar risk group" and "No diabetes - Low blood sugar risk group." The second-level "no diabetes" labels are: "No diabetes - Abnormal blood sugar group," "No diabetes - Low blood sugar risk group," "No diabetes - Blood sugar pending assessment," and "No diabetes abnormalities pending measurement." In this embodiment, when determining a user's medical history label level, a user can have one or more first-level labels for their second medical history, but can only have one second-level label.

In some embodiments, the default testing method re-evaluates the user's first test consultation and generates a second test result, including: a1. The health management system obtains the corresponding high-risk number of times in the second medical history label. If the corresponding high-risk number in the second medical history label is within the label's preset high-risk range, the health management system labels the user with a second medical history first-level label. Otherwise, the health management system labels the user with a second medical history second-level label.

In some embodiments, as shown in FIG2 , for example, if a user is diabetic, the health management system obtains the user's number of high-risk blood sugar levels and then determines whether the number of high-risk blood sugar levels is within 1-20. If the determination result is that the user's number of high-risk blood sugar levels is within 1-20, the user is marked as a diabetic with a high-risk blood sugar level. If the user's number of high-risk blood sugar levels is not within 1-20, and the health management system obtains the number of low-risk blood sugar levels, the user is marked as a diabetic with a low-risk blood sugar level.

In some embodiments, if the health management system determines that the user's actual total number of blood glucose measurements is different from the total number of times recommended in the test protocol, the user's original label is maintained. For example, if the user has been labeled as a diabetic with a high-blood glucose risk, and the health management system determines that the user's actual total number of blood glucose measurements is different from the number of times recommended in the test protocol, the user's label is maintained as a diabetic with a high-blood glucose risk label. Otherwise, the health management system makes a determination based on the user's multiple blood glucose measurements. If the number of low-blood glucose risk-points is not within the range of 1-20 times, and all measurements within the preset time period are within the normal blood glucose range, the user is labeled as a diabetic with well-controlled blood glucose. If any of the measured values within the preset time period is outside the normal blood sugar range and the user's random blood sugar abnormality frequency is between 1 and 30, or if the user's random blood sugar abnormality frequency is 0 and the user's fasting blood sugar abnormality frequency is between 1 and 30, the user will be marked as having diabetes and poor blood sugar control.

In some embodiments, the high-risk number refers to the number of times that fasting blood glucose or random blood glucose is detected to be high-risk in a cycle. Please refer to Table 2:

In some embodiments, a2. The health management system obtains the high-risk number of times corresponding to the "No Second Medical History" label. If the high-risk number of times corresponding to the "No Second Medical History" label is within the label's preset high-risk range, the health management system labels the user as having a Level 1 label of "No Second Medical History." Otherwise, the health management system labels the user as having a Level 2 label of "No Second Medical History."

In some embodiments, as shown in FIG3 , when a user is non-diabetic, the health management system determines that the user has no second medical history label in the same manner as when the user is diabetic, and the health management system determines that the user has the second medical history label. This application will not further elaborate on this.

a3. The health management system obtains the user's physical fitness value. If the user's physical fitness value is obese, the health management system marks the user as obese; if the user's physical fitness value is overweight, the health management system marks the user as overweight; if the user's physical fitness value is thin, the health management system marks the user as thin; if the user's physical fitness value is normal, the health management system marks the user as normal.

S700: The processor obtains a second health plan that matches each second health tag.

In some embodiments, the health management system retrieves a corresponding health plan based on the user's medical history tag. For example, if the user's secondary health tag is Diabetes - Well-Controlled Blood Sugar, the corresponding secondary health plan is weekly blood sugar monitoring. The user's other secondary health tags and the secondary health plans corresponding to each secondary health tag can be configured based on actual circumstances and are not limited in this application.

S800: The processor processes the plurality of second health plans based on a second preset processing rule to generate a second comprehensive plan.

In some embodiments, the health management system processes the user's multiple second health plans according to a second preset processing rule. The second preset processing rule is similar to the first preset processing rule and will not be further described in this application. For example, a user may receive the following second health plan: "Diabetes - good blood sugar control, blood pressure twice a week, blood sugar once a week, blood lipids once a month, and blood uric acid once a month"; or "BMI - normal, blood pressure once a week, weight once a month." After processing this second health plan using the second preset processing rule, the resulting second comprehensive plan is: "Diabetes - good blood sugar control, normal BMI, blood pressure twice a week, blood sugar once a week, blood lipids once a month, blood uric acid once a month, and weight once a month," along with a questionnaire for "Diabetes - good blood sugar control," a questionnaire for "BMI - normal," health education for "Diabetes - good blood sugar control," and a health education and exercise treatment plan for "BMI - normal."

In some embodiments, the user can follow the second comprehensive treatment plan and, within a preset timeframe, undergo health education, exercise, perform health indicator testing, and complete questionnaires. The user can then undergo another round of health indicator testing to ensure that their relevant medical history indicators are within normal ranges.

The health management method of this embodiment is to match a first comprehensive plan suitable for the user's own health condition based on the initial questionnaire consultation and initial health consultation filled out by the user, so that the user can carry out health learning, questionnaire filling and exercise according to the content of the first comprehensive plan within a preset time period. Then, after the preset time period, the user undergoes a second health check. Based on the content of the second health check, the health management system re-formulates a second comprehensive plan that matches the user's health condition, so that the user can know the recovery status of his or her own health indicators within the preset time period. If further recovery of health indicators is needed, the user can undergo a third health check until his or her health indicators reach the normal range. In this way, the management of the user's own health condition is improved, and the user's health condition can be checked at any time to formulate a corresponding comprehensive plan. At the same time, it also improves the efficiency of medical staff and others in managing group health conditions. They can check users' health and test results at any time and display comprehensive solutions that match the user's individual situation.

In some embodiments, this application further provides a health management device 10. As shown in FIG4 , health management device 10 includes an initial information acquisition unit 11, a first detection result acquisition unit 12, a first matching unit 13, a first processing unit 14, a detection information acquisition unit 15, a second detection result acquisition unit 16, a second matching unit 17, and a second processing unit 18. The units referred to in the embodiments of this application may refer to a series of computer program instructions capable of performing a specific function, or may be functional units formed by the combination of computer program instruction segments and hardware. The division of units is a logical functional division, and in actual implementation, other division methods may be used, which is not limited by this application.

The initial information acquisition unit 11 is used to trigger a processor to obtain an initial health questionnaire consultation and an initial test consultation stored in a memory, wherein the initial health questionnaire consultation includes a user consultation and a medical history consultation, and the initial test consultation includes a physiological indicator consultation; the first test result acquisition unit 12 is used to trigger the processor to call the medical history consultation and the user consultation from the memory to determine that the user is a first medical history The first medical history tag is obtained by selecting a first medical history tag that matches the first medical history group; if the user is determined to be a person without a first medical history based on the medical history consultation and the user consultation, a number of first medical history tags that match the person without a first medical history are obtained. The first health tags include a number of first medical history tags and a number of first medical history tags. The first matching unit 13 is used to trigger the processor to obtain a first medical history tag that matches each of the first medical history tags. A first health plan matching a health tag; a first processing unit 14 for triggering the processor to process several of the first health plans based on a first preset processing rule to generate a first comprehensive plan, wherein the first comprehensive plan includes a detection plan; a detection information obtaining unit 15 for triggering the processor to obtain a first detection query corresponding to the detection plan; a second detection result obtaining unit 16 for triggering the processor to generate a second detection result based on the first detection query, wherein the second detection result includes several second health tags; a second matching unit 17 for triggering the processor to obtain a second health plan matching each of the second health tags; and a second processing unit 18 for triggering the processor to process several of the second health plans based on a second preset processing rule to generate a second comprehensive plan.

Please refer to Figure 5, which is a schematic diagram of the structure of the electronic device 100 provided in an embodiment of this application.

Specifically, electronic device 100 includes a memory 20 and a processor 30. Memory 20 is used to store computer instructions, and processor 30 is used to call computer instructions from memory 20, causing electronic device 100 to execute the steps of the health management method described in the above embodiment. Electronic device 100 may be a device equipped with a health management system. In the embodiments of this application, the electronic device 100 is described as a device equipped with a health management system.

For example, computer instructions may be divided into one or more modules/units, which are stored in memory 20 and executed by processor 30. One or more modules/units may be instruction segments representing a series of computer instructions capable of performing specific functions. The instruction segments are used to describe the execution process of the computer instructions in electronic device 100.

Electronic device 100 can be a computing device such as a desktop computer, a laptop, a handheld computer, an industrial computer, a tablet computer, or a server. Those skilled in the art will appreciate that the schematic diagram is merely an example of electronic device 100 and does not limit the electronic device 100 . The electronic device 100 may include more or fewer components than shown, or may combine certain components or have different components. For example, the electronic device 100 may also include input/output devices, network access devices, buses, and the like.

The processor 30 can be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), other programmable logic devices or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor, a single-chip microcomputer, or any conventional processor.

The memory 20 can be used to store computer programs 40 and/or modules/units. The processor 30 implements the various functions of the electronic device 100 by running or executing the computer programs 40 and/or modules/units stored in the memory 20 and calling data stored in the memory 20. The memory 20 can mainly include a program storage area and a data storage area. The program storage area can store the operating system and applications required for at least one function (such as sound playback and image playback); the data storage area can store data generated based on the use of the electronic device 100 (such as audio data). In addition, the memory 20 may include a high-speed random access memory and a non-volatile memory, such as a hard drive, a memory card, a plug-in hard drive, a Smart Media Card (SMC), a Secure Digital (SD) card, a flash memory card, at least one magnetic disk storage device, a flash memory device, or other non-volatile solid-state storage device.

This application also discloses a computer-readable storage medium that stores a computer program 40. When the computer program 40 is executed on an electronic device 100, the electronic device 100 executes the steps of the health management method described in the above embodiment. The storage medium can be a USB flash drive, a removable hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disc, among other media capable of storing program code.

Those skilled in the art should recognize that the specific embodiments described in this specification may be named differently, and that the above descriptions are merely illustrative of the structure of this application. Any equivalent or simple variations based on the structure, features, and principles contemplated by this application are included within the scope of protection of this application. Those skilled in the art may make various modifications, additions, or employ similar methods to the specific embodiments described, as long as they do not deviate from the structure of this application or exceed the scope defined by the claims of this application. These modifications and additions are also within the scope of protection of this application.

S100, S200, S300, S400, S500, S600, S700, S800: Step

Claims (8)

A health management method, comprising: a processor obtaining an initial health questionnaire consultation and an initial test consultation stored in a memory, wherein the initial health questionnaire consultation includes a user consultation and a medical history consultation, and the initial test consultation includes a physiological indicator consultation; if the processor determines that the user is a first medical history group based on the medical history consultation and the user consultation, a plurality of first medical history tags matching the first medical history group are obtained; if the processor determines that the user is a group without a first medical history based on the medical history consultation and the user consultation, a plurality of no-first medical history tags matching the group without a first medical history are obtained, and the plurality of first health tags include a plurality of first medical history tags and a plurality of no-first medical history tags. a first medical history label; the processor obtains a first health plan that matches each of the first health labels; the processor processes several of the first health plans based on a first preset processing rule to generate a first comprehensive plan, wherein the first comprehensive plan includes a detection plan; the processor obtains a first detection consultation corresponding to the detection plan; the processor generates a second detection result based on the first detection consultation, wherein the second detection result includes several second health labels; the processor obtains a second health plan that matches each of the second health labels; the processor processes several of the second health plans based on a second preset processing rule to generate a second comprehensive plan. The health management method as described in claim 1 further includes: the processor generating a plurality of physical labels based on the user consultation and the physiological indicator consultation. A health management method as described in claim 2, wherein the processor obtains a first health plan matching each of the first health tags, including: the processor obtains a number of first medical history health plans corresponding to the first medical history tags based on the first medical history tags; the processor obtains a number of no-first medical history health plans corresponding to the no-first medical history tags based on the no-first medical history tags; the processor obtains a number of physical health plans corresponding to the physical tags based on the physical tags. A health management method as described in claim 3, wherein the first medical history health plan includes several first medical history indicator labels and first medical history detection frequencies corresponding to the first medical history indicator labels; the no-first medical history health plan includes no first medical history indicator labels and no-first medical history detection frequencies corresponding to the no-first medical history indicator labels; the physical health plan includes a physical indicator label and a physical detection frequency corresponding to the physical indicator label; the processor processes several of the first health plans based on a first preset processing rule to generate a first comprehensive plan, including: if the processor detects that the user is a first medical history population, and the first medical history indicator label is different from the physical indicator label, the processor records the first comprehensive plan as the first a medical history indicator label, the first medical history detection frequency and the physical fitness indicator label, the physical fitness detection frequency, otherwise, the processor records the first comprehensive solution as the highest value among the first medical history indicator label, the first medical history detection frequency and the physical fitness detection frequency; if the processor detects that the user is a person without a first medical history, and the no-first medical history indicator label and the physical fitness indicator label are different, the processor records the first comprehensive solution as the no-first medical history indicator label, the no-first medical history detection frequency and the physical fitness indicator label, the physical fitness detection frequency, otherwise, the processor records the first comprehensive solution as the highest value among the no-first medical history indicator label, the no-first medical history detection frequency and the physical fitness detection frequency. The health management method as described in claim 2, wherein the second health tag includes a second medical history tag and a no second medical history tag; the second medical history tag includes a second medical history first-level tag and a second medical history second-level tag; the no second medical history tag includes a no second medical history first-level tag and a no second medical history second-level tag; the processor generates a second detection result based on the first detection consultation, including: the processor obtains the corresponding high-risk number in the second medical history tag; if the processor detects the corresponding high risk number in the second medical history tag If the number of high-risk times is within the high-risk preset range of the label, the processor marks the user as the first-level label of the second medical history; otherwise, the processor marks the user as the second-level label of the second medical history; the processor obtains the corresponding high-risk times in the label of no second medical history; if the processor detects that the corresponding high-risk times in the label of no second medical history is within the high-risk preset range of the label, the processor marks the user as the first-level label of no second medical history; otherwise, the processor marks the user as the second-level label of no second medical history. A health management device, comprising: an initial information acquisition unit, configured to trigger a processor to acquire an initial health questionnaire consultation and an initial test consultation stored in a memory, wherein the initial health questionnaire consultation includes a user consultation and a medical history consultation, and the initial test consultation includes a physiological indicator consultation; a first test result acquisition unit, configured to trigger the processor to determine a use result based on the medical history consultation and the user consultation; The user is a first medical history group, and a plurality of first medical history tags matching the first medical history group are obtained; if the user is determined to be a group without a first medical history based on the medical history consultation and the user consultation, a plurality of no-first medical history tags matching the group without a first medical history are obtained, and the plurality of first health tags include a plurality of first medical history tags and a plurality of no-first medical history tags; the first matching unit is used to trigger the processor to obtain A first health plan that matches each of the first health tags; a first processing unit, used to trigger the processor to process several of the first health plans based on a first preset processing rule to generate a first comprehensive plan, wherein the first comprehensive plan includes a detection plan; a detection information acquisition unit, used to trigger the processor to obtain a first detection consultation corresponding to the detection plan; a second detection result acquisition unit, used to trigger the processor to generate a second detection result based on the first detection consultation, wherein the second detection result includes several second health tags; a second matching unit, used to trigger the processor to obtain a second health plan that matches each of the second health tags; a second processing unit, used to trigger the processor to process several of the second health plans based on a second preset processing rule to generate a second comprehensive plan. An electronic device includes a processor and a memory, wherein the memory is used to store instructions, and the processor is used to call the instructions in the memory, so that the electronic device executes the health management method described in any one of request items 1 to 5. A computer-readable storage medium is used to store a computer program. When the computer program is run on an electronic device, the electronic device executes the health management method as described in any one of claims 1 to 5.