Health risk assessment method, terminal and storage medium

文档序号:1955337 发布日期:2021-12-10 浏览:22次 中文

阅读说明:本技术 健康风险的评估方法、终端及存储介质 (Health risk assessment method, terminal and storage medium ) 是由 贾正国 祝圆 于 2021-08-20 设计创作,主要内容包括:本申请实施例公开了一种健康风险的评估方法、终端及存储介质,属于健康管理技术领域。本申请能够令控制终端获取第一输入信息,进而据此确定体检者的身份标识,同时从体检设备中获取体检者的实测数据,再从输入组件中获取体检者的补充健康信息,最终将实测数据、补充健康信息和体检者的身份标识发送到云端服务器,最终接收到云端服务器经过风险评估后反馈的评估数据,该评估数据用于评估体检者的健康风险,从而实现了打通体检设备、控制终端和云端服务器之间的数据通道,使得体检数据能够直接接入云端服务器,同时能够综合体检者的补充健康信息获取更为贴近被测者的评估数据,提高了体检报告反映用户实际身体风险的效果。(The embodiment of the application discloses a health risk assessment method, a terminal and a storage medium, and belongs to the technical field of health management. This application can make control terminal acquire first input information, and then confirm physical examination person's identification in view of the above, obtain physical examination person's measured data from the physical examination equipment simultaneously, obtain physical examination person's supplementary health information from the input assembly again, finally with measured data, supplementary health information and physical examination person's identification send the high in the clouds server, finally receive the evaluation data that high in the clouds server fed back after the risk assessment, this evaluation data is used for assessing physical examination person's health risk, thereby realized getting through the physical examination equipment, the data channel between control terminal and the high in the clouds server, make physical examination data can the direct access high in the clouds server, simultaneously can synthesize physical examination person's supplementary health information and obtain the evaluation data that more closely measured person, the effect that physical examination report reflects user's actual health risk has been improved.)

1. A health risk assessment method is applied to a control terminal, and comprises the following steps:

determining the identity of the physical examiner according to first input information, wherein the first input information is information read by radio frequency identification equipment or an input component;

acquiring measured data from physical examination equipment, wherein the measured data is a specified physiological index obtained by the physical examination equipment measuring the physical examination person;

obtaining second input information from an input component, the second input information being indicative of supplemental health information of the physical examiner;

sending the measured data, the second input information and the identity to a cloud server;

and receiving evaluation data fed back by the cloud server, wherein the evaluation data is used for evaluating the health risk of the physical examinees.

2. The method of claim 1, wherein obtaining second input information from the input component comprises:

displaying at least one information acquisition control, wherein the information acquisition control is used for acquiring the second input information of the specified type;

and acquiring the second input information of the specified type in response to the information acquisition control being triggered.

3. The method of claim 2, wherein the second input information comprises a positive logic value or a negative logic value.

4. The method of claim 1, wherein after the receiving evaluation data fed back by the cloud server, the method further comprises:

third input information is obtained from an input component, the third input information being used to modify the evaluation data or to supplement the evaluation data.

5. The method of any of claims 1 to 4, further comprising:

acquiring a risk level of the evaluation data;

and displaying corresponding life suggestion information according to the risk level, wherein the life suggestion information is used for indicating the standard life daily life of the physical examiners.

6. A health risk assessment method is applied to a cloud server, and comprises the following steps:

receiving measured data, second input information and an identity of a physical examination person from a control terminal, wherein the measured data is a specified physiological index obtained by the physical examination equipment measuring the physical examination person, and the second input information is used for indicating supplementary health information of the physical examination person;

obtaining corresponding evaluation data through a preset risk determination model based on the measured data and the second input information, wherein the evaluation data is used for evaluating the health risk of the physical examiner;

and sending the evaluation data to the control terminal.

7. A control terminal, characterized in that it comprises a processor, a memory connected to said processor, and program instructions stored on said memory, said processor, when executing said program instructions, implementing the method for health risk assessment according to any one of claims 1 to 5.

8. Cloud server, characterized in that the cloud server comprises a processor, a memory connected to the processor, and program instructions stored in the memory, and the processor executes the program instructions to implement the method for health risk assessment according to claim 6.

9. A computer-readable storage medium, in which program instructions are stored, which program instructions, when executed by a processor, implement the method of health risk assessment according to any one of claims 1 to 5.

10. A computer-readable storage medium, in which program instructions are stored, which program instructions, when executed by a processor, implement the method of health risk assessment according to claim 6.

Technical Field

The embodiment of the application relates to the technical field of health management, in particular to a health risk assessment method, a terminal and a storage medium.

Background

The physical examination technology is an important means for detecting health, and is used for detecting physical examination persons through physical examination equipment to acquire physical examination data so as to judge whether the physical examination persons are healthy or not.

In the related art, a physical examiner goes to a physical examination institution or a hospital for physical examination. Firstly, a physical examination person needs to be detected by a physical examination instrument, and the physical examination instrument transmits acquired information to a pairing computer. The physical examination doctor reads the physical examination data in the computer and copies the corresponding data into a paper report of the physical examination person. The performance of each physical examination item is similar. After the physical examiners complete all the physical examination items, the paper physical examination reports are delivered to the report summarizing center, the physical examination doctors of the report summarizing center input the data of all the physical examination items into the report computer, and finally the report computer outputs the total physical examination report.

Disclosure of Invention

The embodiment of the application provides a health risk assessment method, a terminal and a storage medium. The technical scheme is as follows:

according to an aspect of the present application, there is provided a method for evaluating health risks, applied to a control terminal, the method including:

determining the identity of the physical examiner according to first input information, wherein the first input information is information read by radio frequency identification equipment or an input component;

acquiring measured data from physical examination equipment, wherein the measured data is a specified physiological index obtained by the physical examination equipment measuring the physical examination person;

obtaining second input information from an input component, the second input information being indicative of supplemental health information of the physical examiner;

sending the measured data, the second input information and the identity to a cloud server;

and receiving evaluation data fed back by the cloud server, wherein the evaluation data is used for evaluating the health risk of the physical examinees.

According to an aspect of the present application, there is provided a health risk assessment method applied in a cloud server, the method including:

receiving measured data, second input information and an identity of a physical examination person from a control terminal, wherein the measured data is a specified physiological index obtained by the physical examination equipment measuring the physical examination person, and the second input information is used for indicating supplementary health information of the physical examination person;

obtaining corresponding evaluation data through a preset risk determination model based on the measured data and the second input information, wherein the evaluation data is used for evaluating the health risk of the physical examiner;

and feeding back the evaluation data to the control terminal.

According to another aspect of the present application, there is provided an apparatus for evaluating health risks, which is applied to a control terminal, the apparatus including:

the identification determination module is used for determining the identity of the physical examination person according to first input information, wherein the first input information is information read by radio frequency identification equipment or an input assembly;

the physical examination equipment comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring measured data from physical examination equipment, and the measured data is a specified physiological index obtained by the physical examination equipment by measuring a physical examinee;

a second obtaining module for obtaining second input information from an input component, the second input information being indicative of supplemental health information of the physical examination person;

the first sending module is used for sending the measured data, the second input information and the identity identification to a cloud server;

the first receiving module is used for receiving evaluation data fed back by the cloud server, and the evaluation data is used for evaluating the health risk of the physical examinee.

According to another aspect of the present application, there is provided an apparatus for evaluating health risks, applied in a cloud server, the apparatus including:

the second receiving module is used for receiving measured data, second input information and the identity of a physical examination person from the control terminal, wherein the measured data is a specified physiological index obtained by the physical examination equipment measuring the physical examination person, and the second input information is used for indicating the supplementary health information of the physical examination person;

the risk evaluation module is used for obtaining corresponding evaluation data through a preset risk determination model based on the measured data and the second input information, and the evaluation data is used for evaluating the health risk of the physical examiner;

and the second sending module is used for sending the evaluation data to the control terminal.

According to another aspect of the present application, there is provided a control terminal comprising a processor and a memory, wherein the memory stores at least one instruction, and the instruction is loaded and executed by the processor to implement the method for health risk assessment performed by the control terminal as provided herein.

According to another aspect of the present application, there is provided a cloud server, including a processor and a memory, where the memory stores at least one instruction, and the instruction is loaded and executed by the processor to implement the method for health risk assessment performed by the cloud server as provided in the present application.

According to another aspect of the present application, there is provided a computer-readable storage medium disposed in a control terminal, the storage medium having at least one instruction stored therein, the instruction being loaded and executed by a processor to implement the method for health risk assessment performed by the control terminal as provided herein.

According to another aspect of the present application, a computer-readable storage medium is provided, where the storage medium is disposed in a cloud server, and at least one instruction is stored in the storage medium, and the instruction is loaded and executed by a processor to implement the health risk assessment method performed by the cloud server as provided in the present application.

In one aspect of the present application, a computer program product is provided, the computer program product being operable in a control terminal, the computer program product comprising computer instructions stored in a computer readable storage medium. The processor of the computer device reads the computer instructions from the computer readable storage medium, and the processor executes the computer instructions, so that the computer device executes the health risk assessment method executed by the control terminal.

In one aspect of the present application, a computer program product is provided, the computer program product running in a cloud server, the computer program product comprising computer instructions, the computer instructions being stored in a computer readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, and executes the computer instructions, so that the computer device executes the health risk assessment method executed by the cloud server.

The beneficial effects brought by the technical scheme provided by the embodiment of the application can include:

this application can make control terminal acquire first input information, and then confirm physical examination person's identification in view of the above, obtain physical examination person's measured data from the physical examination equipment simultaneously, obtain physical examination person's supplementary health information from the input assembly again, finally with measured data, supplementary health information and physical examination person's identification send the high in the clouds server, finally receive the evaluation data that high in the clouds server fed back after the risk assessment, this evaluation data is used for assessing physical examination person's health risk, thereby realized getting through the physical examination equipment, the data channel between control terminal and the high in the clouds server, make physical examination data can the direct access high in the clouds server, simultaneously can synthesize physical examination person's supplementary health information and obtain the evaluation data that more closely measured person, the effect that physical examination report reflects user's actual health risk has been improved.

Drawings

In order to more clearly describe the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments of the present application will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without creative efforts.

Fig. 1 is a system architecture diagram of a physical examination system according to an embodiment of the present disclosure;

fig. 2 is a system architecture diagram of another physical examination system provided in an embodiment of the present application;

FIG. 3 is a flow chart of a method for assessing health risk provided by an embodiment of the present application;

FIG. 4 is a flowchart of a method for assessing health risk provided by an embodiment of the present application;

FIG. 5 is a flowchart of a method for assessing health risk provided by an embodiment of the present application;

fig. 6 is a block diagram of a cloud server according to an exemplary embodiment of the present disclosure;

fig. 7 is a block diagram of a control terminal according to an exemplary embodiment of the present application.

Detailed Description

To make the objects, technical solutions and advantages of the present application more clear, embodiments of the present application will be described in further detail below with reference to the accompanying drawings.

When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.

In the description of the present application, it is to be understood that the terms "first," "second," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. In the description of the present application, it is to be noted that, unless otherwise explicitly specified or limited, the terms "connected" and "connected" are to be interpreted broadly, e.g., as being fixed or detachable or integrally connected; can be mechanically or electrically connected; may be directly connected or indirectly connected through an intermediate. The specific meaning of the above terms in the present application can be understood in a specific case by those of ordinary skill in the art. Further, in the description of the present application, "a plurality" means two or more unless otherwise specified. "and/or" describes the association relationship of the associated objects, meaning that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship.

As used herein, the term "if" is optionally interpreted as "when.. times", "at … …", "in response to a determination", or "in response to a detection", depending on the context. Similarly, the phrase "if determined … …" or "if (a stated condition or event) is detected" or "in response to (a stated condition or event) being detected", depending on the context.

It is noted that the use of personally identifiable information should follow privacy policies and practices that are recognized as meeting or exceeding industry or government requirements for maintaining user privacy. In particular, personally identifiable information should explicitly specify to the user the nature of authorized use during administration and processing to minimize the risk of inadvertent or unauthorized access or use.

The application environment at this application place can constitute by the field device that sets up in the physical examination mechanism and the high in the clouds equipment of setting in the high in the clouds. The field device is used for carrying out physical examination on physical examinees and primarily sorting data. The cloud device is connected with the field device through the internet and is used for analyzing and calculating data acquired by the field device and transmitting the data back to the field device. The present application describes several possible implementation environments, and is described with reference to the implementation environments shown in fig. 1 and 2 as examples.

Referring to fig. 1, fig. 1 is a system architecture diagram of a physical examination system according to an embodiment of the present disclosure. In fig. 1, the devices include a field device and a cloud device. The field devices include a control terminal 111 and a physical examination device 112. The control terminal 111 may be a dedicated computer associated with the medical examination apparatus 112, or may be a general Personal Computer (PC). In the case where the control terminal 111 is a general-purpose personal computer, software that is compatible with the medical examination equipment 112 may be installed in the control terminal 111 so that data obtained by the medical examination equipment 112 detecting the medical examinee can be normally received and processed.

In the architecture shown in fig. 1, the cloud device includes a cloud server 120. In one possible approach, the cloud server 120 runs therein a cloud software environment required by the present application. In another possible manner, the cloud server may further include a plurality of entity servers, and each server is responsible for providing part of functions required by the application, which is not limited in the application.

Accordingly, a physical examination system may include the control terminal 111, the physical examination device 112, and the cloud server 120 as shown in fig. 1.

Referring to fig. 2, fig. 2 is a system architecture diagram of another physical examination system according to an embodiment of the present application. In the system architecture shown in fig. 2, a physical examination facility includes multiple sets of field devices. In one possible approach, a set of field devices includes a body testing device and a control terminal. In another possible mode, a set of field devices comprises a body detection device and a plurality of control terminals. In another possible mode, a set of field devices comprises a body detection device and a plurality of control terminals. Based on this actual operational scenario, please refer to the system architecture provided in fig. 2 that includes multiple sets of field devices.

Fig. 2 includes a first set of field devices 21, a second set of field devices 22, a third set of field devices 23, and a fourth set of field devices 24, and a cloud server 25.

Wherein the first group of field devices 21 comprises a first control terminal 211 and a first commissioning device 212.

The second group of field devices 22 includes a second control terminal 221, a second physical examination device 222, and a third physical examination device 223.

The third group of field devices 23 includes a third control terminal 231, a fourth control terminal 232, and a fourth physical examination device 233.

The fourth set of field devices 24 includes a fifth control terminal 241 and a fifth physical examination device 242.

Optionally, the first set of field devices 21 and the fourth set of field devices 24 are identical in composition. The scene is used for showing that in practical application, most of one set of field devices comprise a body detection device and a control terminal.

It should be noted that the scenarios shown in fig. 1 and 2 are only two possible architectures of the various physical examination systems that may be employed in the present application. In practical applications, other architectures may be adopted by implementers of the present application, and the present application is not limited thereto.

In one possible approach, the system of fig. 1 or 2 may be a chronic disease global management system.

In the method, the control terminal and the cloud server cooperatively complete the evaluation method of the health risk provided by the application. The execution process of the health risk assessment method will be described below by taking the control terminal and the cloud server as execution subjects, respectively. Then, an implementation process based on interactive cooperation between the control terminal and the cloud server is introduced. See the following description for details.

Referring to fig. 3, fig. 3 is a flowchart of a health risk assessment method according to an embodiment of the present disclosure. The health risk assessment method can be applied to the control terminal shown in fig. 1 or fig. 2. In fig. 3, the method for assessing health risk includes:

step 310, the physical examination person's identity is determined based on first input information, which is read by the rfid device or the input component.

In the embodiment of the application, a special client for realizing the application can be installed in the control terminal. The special client side has the functions of acquiring measured data from the physical examination equipment and normally interacting with the cloud server. Illustratively, the dedicated client may be a cloud clinical client.

In a possible application, the control terminal may obtain the first input information through the rfid device. The radio frequency identification device can be connected with the control terminal through a wired data cable. The rfid device may read information in the rfid card. Illustratively, the radio frequency identification card includes, but is not limited to, an identification card, an employee identification card (employee badge), or a physical examination identification device. The physical examination identification device can be a device which is temporarily acquired by a physical examination person in a physical examination mechanism and uniquely corresponds to the physical examination person identification. Optionally, the physical examination identifier may be a bracelet, a chest card, a ring, or an arm band, and the specific form of the physical examination identifier is not limited in the embodiment of the present application.

In another possible application, the control terminal may obtain the first input information through the input component. It should be noted that the input component is an input device of the control terminal, including but not limited to a keyboard, a mouse, a writing pad or a microphone. The physical examination doctor inputs first input information to the control terminal through the input component.

In this example, the first input information may be the identity of the physical examination person, or may be intermediate data, where the intermediate data has a preset mapping relationship with the identity of the physical examination person, and the mapping relationship may be stored in the control terminal, so that the control terminal can obtain the identity of the physical examination person according to the intermediate data.

Optionally, the first input information may further include a name, a ethnicity, a gender, a year and month of birth, an identification number, and the like. Alternatively, the first input information may further include height, weight, blood pressure, total cholesterol, high density lipoprotein cholesterol, and the like, which is not limited in the embodiment of the present application.

Optionally, the dedicated client supports online upgrade. In one possible upgrade mode, the dedicated client may be upgraded online during normal operation. In another possible upgrading mode, the dedicated client needs to be upgraded when the normal operation is stopped.

Step 320, actual measurement data is obtained from the physical examination device, and the actual measurement data is the specified physiological index obtained by the physical examination device for measuring the physical examination person.

In this example, the control terminal can acquire measured data from the physical examination device. The measured data is a physiological index obtained by the physical examination equipment performing physical examination on a physical examinee. In a possible scenario, the physical examination device performs physical examination on a physical examinee, and the obtained measured data is sent to a matched control terminal. In another possible mode, the physical examination device analyzes a biological sample collected from a physical examiner, and the analysis result is transmitted to the control terminal. The biological sample includes, but is not limited to, body fluid, tissue slice, or solid secretion, and the like, which is not limited in the present application.

At step 330, second input information is obtained from the input component, the second input information being indicative of supplemental health information of the physical examination person.

In the embodiment of the application, the control terminal acquires the second input information from the input component. Wherein, the second input information can still be the information input into the control terminal by the physical examination doctor. This information may be obtained by the physical examination physician by way of a query. Subsequently, the physical examination doctor enters the inquired second input information into the control terminal.

In one possible implementation, the second input information may be used to reflect a lifestyle of the physical examination person, which lifestyle can characterize the supplemental health information of the physical examination person.

In another possible implementation, the second input information may be used to reflect the historical health of the physical examiner. For example, the second input information may be past illness or the like.

In another possible implementation, the second input information may be used to reflect the genetic health status of the family in which the physical examiner is located.

And step 340, sending the measured data, the second input information and the identity to a cloud server.

In this embodiment of the application, after the control terminal obtains the measured data, the second input information and the identity, the control terminal sends the information to the cloud server.

In a possible implementation manner, the measured data, the second input information and the identity identifier are packaged into a data packet, and the packaged data packet is sent to the cloud server.

And step 350, receiving evaluation data fed back by the cloud server, wherein the evaluation data is used for evaluating the health risk of the physical examinee.

In the embodiment of the application, the cloud server processes the measured data and the second input information together after receiving the measured data, the second input information and the identity, so as to obtain evaluation data, and the evaluation data is used for evaluating the health risk of the physical examinee.

In one possible approach, the assessment data may be directly appended to the physical examination report and provided to the physical examiner. Alternatively, for this evaluation data, the physical examination doctor may manually input a life advice so that the physical examination person improves the health condition in life.

Alternatively, the assessment data may be a ten-year cardiovascular disease onset risk assessment.

To sum up, this application can make control terminal acquire first input information, and then confirm physical examination person's identification in view of the above, acquire physical examination person's measured data from the physical examination equipment simultaneously, acquire physical examination person's supplementary health information from the input module again, finally with measured data, supplementary health information and physical examination person's identification send the high in the clouds server, finally receive the evaluation data that high in the clouds server fed back after the risk assessment, this evaluation data is used for assessing physical examination person's health risk, thereby realized getting through physical examination equipment, data channel between control terminal and the high in the clouds server, make physical examination data can direct access high in the clouds server, the supplementary health information that can synthesize physical examination person simultaneously acquires the evaluation data that more closely measured person, the effect of physical examination report reflection user actual health risk has been improved.

Referring to fig. 4, fig. 4 is a flowchart of a health risk assessment method according to an embodiment of the present disclosure. The health risk assessment method may be applied to the cloud server shown in fig. 1 or fig. 2. In fig. 4, the method for assessing health risk includes:

step 410, actual measurement data, second input information and the identity of the physical examination person are received from the control terminal, the actual measurement data is a specified physiological index obtained by the physical examination equipment for detecting the physical examination person, and the second input information is used for indicating the supplementary health information of the physical examination person.

In the application, the cloud server receives the measured data, the second input information and the identity of the physical examination person from the control terminal. In one possible approach, the three types of data are packed in a data packet. The cloud server analyzes the three types of data from the data packet.

Optionally, the data is transmitted between the control terminal and the cloud server, and the data can be encrypted through a preset encryption algorithm.

For an exemplary description of the measured data and the second input information, reference may be made to the relevant contents in the embodiment of fig. 3, which is not described herein again.

And step 420, obtaining corresponding evaluation data through a preset risk determination model based on the measured data and the second input information, wherein the evaluation data is used for evaluating the health risk of the physical examinee.

In this example, the cloud server calculates, based on the measured data and the second input information, the corresponding evaluation data by using a preset risk measurement model.

Alternatively, the preset risk determination model may be a machine learning model trained in advance.

Optionally, the data adopted in the training of the preset risk determination model may be physical examination data of the region where the physical examiner is located in the last n years. Wherein n is a positive integer.

In this example, the evaluation data may include hierarchical data. That is, the evaluation data may be given in terms of rank. For example, an index that is classified as low risk, medium risk, and high risk will ultimately be given in terms of a rank. If the data to be evaluated at one time includes 20 kinds, 20 pieces of data are included in the evaluation data.

The review data may be a part of the whole physical examination report or may be data of the whole physical examination report, and the present application does not limit the data.

And step 430, sending the evaluation data to the control terminal.

In the application, after the cloud server obtains the evaluation data, the cloud server can return the data to the control terminal.

In a possible mode, the cloud server packs the evaluation data and the identity of the physical examiner together and transmits the evaluation data and the identity to the control terminal.

In another possible mode, the cloud server transmits the evaluation data through a dedicated link established with the control terminal.

In summary, the health risk assessment method executed by the cloud server provided by the application can directly acquire the measured data and the second input information of the related physical examinees through the network connection with the control terminal, and the assessment data is calculated through the preset risk determination model. The method saves the steps of manually copying data to be summarized and measured in the traditional scheme by the physical examination doctor, and can also consider second input information inquired by the physical examination doctor when acquiring the evaluation data, so that the evaluation data can more closely reflect the actual health condition of the user, and the physical examination effect is improved.

Based on the two schemes in fig. 3 and fig. 4, the present application may also introduce a implementation of a landing in the present application by combining the scheme in which the cloud server and the control terminal participate, and please refer to fig. 6 for details.

Fig. 5 is a flowchart of a health risk assessment method according to an embodiment of the present application. The health risk assessment method can be implemented by the cloud server and the control terminal shown in fig. 1 or fig. 2. In fig. 5, the method for assessing health risk includes:

and step 511, the control terminal determines the identity of the physical examination person according to the first input information.

In this example, the execution manner of step 511 is similar to that of step 310, and is not described here again.

And step 512, the control terminal acquires the measured data from the physical examination equipment.

In this example, the execution manner of step 512 is similar to that of step 330, and is not described here again.

Step 513, the control terminal displays at least one information obtaining control.

The information acquisition control is used for acquiring second input information of a specified type.

In this example, the control terminal may be provided with an interactive user interface. At least one information acquisition control can be included in the user interface. Alternatively, the information acquisition control may be at least one of a selection menu, a check box, or a text box.

And step 514, in response to the triggering of the information acquisition control, controlling the terminal to acquire the second input information of the specified type.

In this example, when the information acquisition control is triggered, the control terminal acquires the second input information of the specified type. Optionally, the specified type is used to indicate the data type of the second input information, and may be a logical value or a numerical value.

In one possible case, the second input information comprises a positive logic value or a negative logic value. Where a positive logic value indicates true or correct and a negative logic value indicates false or error. For example, if the second input information of the specified type is whether there is a family hypertension history, the second input information of the type has only 2 values, a positive logical value indicates that there is a family hypertension history, and a negative logical value indicates that there is no family hypertension history.

Step 515, the control terminal sends the measured data, the second input information, and the identity to the cloud server.

In this example, the execution manner of step 515 is similar to that of step 340, and the description thereof is omitted here.

Correspondingly, the cloud server receives the measured data, the second input information and the identity of the physical examination person from the control terminal.

In step 516, the cloud server obtains corresponding evaluation data through a preset risk determination model based on the measured data and the second input information.

In this example, step 516 is performed in a manner similar to that of step 420, and is not described herein again.

And 517, the cloud server sends the evaluation data to the control terminal.

Correspondingly, the control terminal receives evaluation data sent by the cloud server.

And step 518, the control terminal acquires the risk level of the evaluation data.

In this example, the control terminal can read the attributes of its risk level from the assessment data and cache the risk level down.

And step 519, the control terminal displays corresponding life suggestion information according to the risk level, wherein the life suggestion information is used for indicating standard life daily life of the physical examiners.

In this example, the control terminal stores in advance life advice information corresponding to different risk levels. And the control terminal displays corresponding life suggestion information according to the risk level. For example, the risk level is divided into three levels, namely a high level, a medium level and a low level, which respectively correspond to a life suggestion I, a life suggestion II and a life suggestion III. Therefore, the control terminal will automatically display the corresponding life advice information according to the risk level. The life suggestion information can be displayed on a screen of the control terminal, or can be generated in a physical examination report as part of the physical examination report.

In step 520, the control terminal obtains third input information from the input component, wherein the third input information is used for modifying the evaluation data or supplementing the evaluation data.

In an alternative embodiment of the present application, the control terminal can obtain the third input information again through the input component in addition to automatically generating the life advice information. The third input information may be used to modify the evaluation data or supplement the evaluation data. In one possible implementation, the third input information may also be used to modify the life advice information or supplement the life advice information.

Illustratively, the health risk assessment method provided by the application can screen eight major cardiovascular disease categories (including hypertension, diabetes, hyperlipidemia, coronary heart disease, stroke, atrial fibrillation, heart failure and obesity), effectively monitors the physical condition of a physical examination person at high quality, and improves the accuracy of physical examination data and the reporting speed while reducing the workload of a physical examination doctor.

Illustratively, if the cloud diagnosis and treatment client is adopted, the control terminal can print the physical examination report. The physical examination report includes, among other things, assessment data.

To sum up, this application can be through with control terminal between the network connection, directly acquire relevant physical examination person's measured data and second input information, calculate through predetermineeing the risk assay model and obtain the assessment data. The method saves the steps of manually copying data to be summarized and measured in the traditional scheme by the physical examination doctor, and can also consider second input information inquired by the physical examination doctor when acquiring the evaluation data, so that the evaluation data can more closely reflect the actual health condition of the user, and the physical examination effect is improved.

To sum up, this application can make control terminal acquire first input information, and then confirm physical examination person's identification in view of the above, acquire physical examination person's measured data from the physical examination equipment simultaneously, acquire physical examination person's supplementary health information from the input module again, finally with measured data, supplementary health information and physical examination person's identification send the high in the clouds server, finally receive the evaluation data that high in the clouds server fed back after the risk assessment, this evaluation data is used for assessing physical examination person's health risk, thereby realized getting through physical examination equipment, data channel between control terminal and the high in the clouds server, make physical examination data can direct access high in the clouds server, the supplementary health information that can synthesize physical examination person simultaneously acquires the evaluation data that more closely measured person, the effect of physical examination report reflection user actual health risk has been improved.

Fig. 6 is a block diagram of a cloud server according to an exemplary embodiment of the present disclosure, as shown in fig. 1, the cloud server includes a processor 620 and a memory 640, where the memory 640 stores at least one instruction, and the instruction is loaded and executed by the processor 620 to implement a health risk assessment method according to various method embodiments of the present disclosure.

Processor 620 may include one or more processing cores. The processor 620 is connected to various portions of the entire cloud server 600 using various interfaces and lines, and executes various functions of the cloud server 600 and processes data by executing or executing instructions, programs, code sets, or instruction sets stored in the memory 640 and calling data stored in the memory 640. Optionally, the processor 620 may be implemented in at least one hardware form of Digital Signal Processing (DSP), Field-Programmable Gate Array (FPGA), and Programmable Logic Array (PLA). The processor 620 may integrate one or more of a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), a modem, and the like. Wherein, the CPU mainly processes an operating system, a user interface, an application program and the like; the GPU is used for rendering and drawing the content required to be displayed by the display screen; the modem is used to handle wireless communications. It is understood that the modem may not be integrated into the processor 620, but may be implemented by a single chip.

The Memory 640 may include a Random Access Memory (RAM) or a Read-Only Memory (ROM). Optionally, the memory 640 includes a non-transitory computer-readable medium. The memory 640 may be used to store instructions, programs, code sets, or instruction sets. The memory 640 may include a stored program area and a stored data area, wherein the stored program area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing various method embodiments described below, and the like; the storage data area may store data and the like referred to in the following respective method embodiments.

Fig. 7 is a block diagram of a control terminal according to an exemplary embodiment of the present application, and as shown in fig. 1, the control terminal includes a processor 720 and a memory 740, where the memory 740 stores at least one instruction, and the instruction is loaded and executed by the processor 720 to implement a method for assessing health risks according to various method embodiments of the present application.

Processor 720 may include one or more processing cores. The processor 720 connects various parts within the overall control terminal 700 using various interfaces and lines, performs various functions of the control terminal 700 and processes data by executing or executing instructions, programs, code sets, or instruction sets stored in the memory 740, and calling data stored in the memory 740. Optionally, the processor 720 may be implemented in at least one hardware form of Digital Signal Processing (DSP), Field-Programmable Gate Array (FPGA), and Programmable Logic Array (PLA). The processor 720 may integrate one or more of a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), a modem, and the like. Wherein, the CPU mainly processes an operating system, a user interface, an application program and the like; the GPU is used for rendering and drawing the content required to be displayed by the display screen; the modem is used to handle wireless communications. It is to be understood that the modem may not be integrated into the processor 720, but may be implemented by a single chip.

The Memory 740 may include a Random Access Memory (RAM) or a Read-Only Memory (ROM). Optionally, the memory 740 includes a non-transitory computer-readable medium (non-transitory computer-readable storage medium). The memory 740 may be used to store instructions, programs, code, sets of codes, or sets of instructions. The memory 740 may include a stored program area and a stored data area, wherein the stored program area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing various method embodiments described below, and the like; the storage data area may store data and the like referred to in the following respective method embodiments.

The embodiment of the present application further provides a computer-readable medium, where at least one instruction is stored, and the at least one instruction is loaded and executed by the processor to implement the health risk assessment method performed by the control terminal according to the above embodiments.

The embodiment of the present application further provides a computer-readable medium, where at least one instruction is stored, and the at least one instruction is loaded and executed by the processor to implement the health risk assessment method performed by the cloud server according to the above embodiments.

It should be noted that: in the health risk assessment device provided in the above embodiment, when the health risk assessment method is executed, only the division of the functional modules is illustrated, and in practical applications, the function distribution may be completed by different functional modules according to needs, that is, the internal structure of the device may be divided into different functional modules to complete all or part of the functions described above. In addition, the health risk assessment device provided in the above embodiments and the health risk assessment method embodiments belong to the same concept, and specific implementation processes thereof are described in the method embodiments, and are not described herein again.

The above-mentioned serial numbers of the embodiments of the present application are merely for description and do not represent the merits of the embodiments.

It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, where the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.

The above description is only exemplary of the implementation of the present application and is not intended to limit the present application, and any modifications, equivalents, improvements, etc. made within the spirit and principle of the present application should be included in the protection scope of the present application.

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