TWI843357B - A health management method、 system - Google Patents

Abstract

This application provides a health management method and system, including: receiving the first physical characteristics data of the user and bed information, the first physical characteristics data measured by the smart wearable device of the user; Generate and display a health status card of the user based on the bed information and the first physical characteristics data; The first body characteristic data is detected, and the first reminder message is sent after the first body characteristic data is detected abnormal. This application ensures that the health care provider is aware of the patient's physical status while minimizing the contact between the patient and the health care provider.

Description

A health management method and system

This application involves the field of health management monitoring, and in particular, a health management method and system.

In the current environment, medical staff, as direct contacts with patients, are at great risk of infection. In related technologies, medical staff avoid infection by wearing masks and isolation suits, but they still cannot avoid contact with patients, resulting in the risk of infection for medical staff.

In view of this, this application provides a health management method and system, which can reduce the contact between medical staff and patients while ensuring that medical staff can know the patient's physical condition.

The first aspect of the present application provides a health management method, comprising: receiving a user's first body feature data and bed information, wherein the first body feature data is measured by the user's smart wearable device; generating a health status card of the user according to the bed information and the first body feature data, and displaying the health status card; detecting the first body feature data, and sending a first reminder message after detecting that the first body feature data is abnormal.

Compared with the related technologies, the embodiments of the present application have at least the following advantages: by using smart wearable devices, medical staff can measure the user's first body feature data without contacting the user; by generating a user's health status card based on bed information and the first body feature data, and displaying the health status card, on the one hand, the first body feature data of different users can be accurately distinguished. On the other hand, it enables medical staff to accurately know the physical condition of each user through the health management cloud platform without contact with the patient, greatly reducing the risk of infection for medical staff; by performing data abnormality detection on the first body feature data, and sending the first reminder message after detecting the abnormality of the first body feature data, so that medical staff can immediately know the patient's physical condition, so as to be able to track and treat the disease in real time.

In some possible implementation methods, the detecting of the first body feature data and sending the first reminder message after detecting that the first body feature data is abnormal includes: detecting whether the first body feature data is within the first valid data range; when detecting that the first body feature data is not within the first valid data range, reacquiring the first body feature data; when detecting that the first body feature data is within the first valid range, detecting whether the first body feature data is within the first preset healthy range; when detecting that the first body feature data is not within the first preset healthy range, sending the first reminder message.

By adopting this technical solution, the accuracy of the first body feature data can be ensured, thereby improving the reliability of the health management method.

In some possible implementation methods, before receiving the user's first body feature data and bed information, it also includes: the smart wearable device detects whether the first body feature data is within the second valid data range; when the smart wearable device detects that the first body feature data is not within the second valid data range, re-measures the first body feature data; when the smart wearable device detects that the first body feature data is within the second valid data range, the smart wearable device uploads the first body feature data.

By adopting this technical solution, the accuracy of the first body feature data can be ensured, thereby improving the reliability of the health management method.

In some possible implementation methods, after the re-measurement of the first body feature data, the method further includes: the smart wearable device obtains the number of measurements of the re-measurement of the first body feature data; when the number of measurements is greater than a first preset number, the smart wearable device sends an alarm message.

By adopting this technical solution, it is possible to detect whether the body feature data measurement function of the smart wearable device is abnormal, so that staff can perform immediate maintenance when the body feature data measurement function of the smart wearable device is abnormal.

In some possible implementations, the method further includes: detecting whether the number of times the first reminder message is sent is greater than a second preset number of times, and sending a measurement reminder when it is detected that the number of times the first reminder message is sent is greater than the second preset number of times; receiving second body characteristic data of the user, the second body characteristic value is measured based on a medical instrument, and the measurement of the second body characteristic value is based on the measurement reminder.

By adopting this technical solution, when the first body feature data of the user measured by the smart wearable device multiple times is abnormal, the second body feature data of the user can be measured by professional medical instruments. On the one hand, it can eliminate the factors of inaccurate measurement data of the smart wearable device, and on the other hand, it can ensure the accuracy of the second body feature data uploaded to the health management platform, so that medical staff can accurately understand the user's physical condition.

In some possible implementations, before receiving the second body feature data of the user, it further includes: detecting whether the second body feature data is within the third valid data range, and when the second body feature data is detected to be not within the third valid data range, reacquiring the second body feature data; when the second body feature data is detected to be within the third valid data range, detecting whether the second body feature data is within the second preset health range, and when the second body feature data is detected to be not within the second preset health range, generating upload confirmation information; when the second body feature data is within the second preset health range, or the response result of the upload confirmation information is confirmation upload, uploading the second body feature data.

By adopting this technical solution, the accuracy of the second body feature data can be ensured, thereby improving the reliability of the health management method.

In some possible implementations, the smart wearable device measures the first body feature data of the user once every preset time period; the method further includes: detecting whether the first body feature data is received every preset time period; and sending a timeout reminder message when it is detected that the first body feature data is not received again after the preset time period has passed since the first body feature data was received last time.

By adopting this technical solution, the user's first-person body feature data can be updated in real time, improving the reliability of the health management system.

In some possible implementations, after detecting that the first body characteristic data is abnormal, sending a first reminder message includes: when detecting that the first body characteristic data is not within a preset specific body health data range, sending the first reminder message; the method further includes: generating a card display color according to the data relationship between the first body characteristic data and the specific body health data range; generating the user's health status card according to the bed information and the first body characteristic data includes: generating the health status card according to the bed information, the first body characteristic data and the card display color.

By adopting this technical solution, medical staff can see the condition of each patient more intuitively.

In some possible implementations, the method further includes: treating the first body characteristic data that is not within the scope of the specific body health data as abnormal data, and generating a specific display color for the abnormal data; generating the user's health status card based on the bed information and the first body characteristic data includes: generating the health status card based on the bed information, the first body characteristic data and the specific display color.

By adopting this technical solution, medical staff can see the condition of each patient more intuitively.

The second aspect of this application discloses a health management system, including: a smart wearable device and a health management platform; the smart wearable device is used to bind with the user's bed information, obtain the user's first body feature data, and upload the bed information and the first body feature data to the health management platform; the health management platform is used to generate the user's health status card according to the bed information and the first body feature data, and display the health status card; the health management platform is also used to detect the first body feature data, and send a first reminder message after detecting that the first body feature data is abnormal. It can be understood that the system of the second aspect provided above corresponds to the method of the first aspect, so the beneficial effects that can be achieved can refer to the beneficial effects in the corresponding system provided above, which will not be repeated here.

1: Smart wearable devices

3: Health management platform

101, 102, 103, 201, 202, 203, 204, 205: Steps

Figure 1 is a flow chart of the health management method provided in the first embodiment of this application.

Figure 2 is a diagram showing the effect of a terminal device binding a smart wearable device to the bed information of a user's bed provided in an embodiment of this application.

Figure 3 is a schematic diagram of the display interface of the health management cloud platform provided in an embodiment of this application.

Figure 4 is a diagram showing the effect of setting the user's specific physical health data range in the health management platform provided in the first embodiment of this application.

Figure 5 is a display effect diagram of abnormal data in the health management platform provided in the first embodiment of this application.

Figure 6 is a diagram showing the effect of creating a new group in the health management platform provided in the first embodiment of this application.

Figure 7 is a rendering of the effect of adding new beds in the health management platform provided in the first embodiment of this application.

Figure 8 is a table diagram of batch importing patients in the health management platform provided in the first embodiment of this application.

Figure 9 is a diagram showing the effect of batch importing patients into the health management platform provided in the first embodiment of this application.

Figure 10 is a rendering of a single patient introduced into the health management platform provided in the first embodiment of this application.

Figure 11 is a diagram showing the effect of the health management platform notifying the smart wearable device to take active measurements, as provided in the first embodiment of this application.

Figure 12 is a diagram showing the effect of the health management platform provided in the first embodiment of this application on the user's bed conversion.

Figure 13 is a diagram showing the effect of the health management platform provided in the first embodiment of this application to release the user from isolation.

Figure 14 is a diagram showing the effect of the health management platform receiving patient feedback information provided by the first embodiment of this application.

Figure 15 is a diagram showing the effect of the health management platform receiving patient feedback information provided by the first embodiment of this application.

Figure 16 is a rendering of the patient trend chart in the health management platform provided in the first embodiment of this application.

Figure 17 is a diagram showing the effect of a single download of a patient's historical data on the health management platform provided in the first embodiment of this application.

Figure 18 is a diagram showing the effect of batch downloading of patients' historical data on the health management platform provided in the first embodiment of this application.

Figure 19 is a flow chart of the health management method provided in the first embodiment of this application.

Figure 20 is a flow chart of measuring the second body feature data provided in an embodiment of this application.

Figure 21 is a flow chart of the second body feature data uploading method provided in an embodiment of this application.

Figure 22 is a rendering of the first reminder message in the health management platform provided in the first embodiment of this application;

Figure 23 is a diagram showing the effect of sending single or batch message notifications on the health management platform provided in the first embodiment of this application.

Figure 24 is a schematic diagram of the functional modules of the health management system provided in the first embodiment of this application.

In order to more clearly understand the above-mentioned purpose, features and advantages of this application, the following is a detailed description of this application in conjunction with the attached drawings and specific implementation methods. It should be noted that the implementation methods of this application and the features in the implementation methods can be combined with each other without conflict.

In the following description, many specific details are explained to facilitate a full understanding of this application. The implementation methods described are only part of the implementation methods of this application, not all of the implementation methods.

Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by technicians in the technical field of this application. The terms used in this specification of this application are only for the purpose of describing specific implementation methods and are not intended to limit this application.

It should be further clarified that, in this article, the terms "include", "comprises" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of more restrictions, the elements defined by the phrase "comprises a ..." do not exclude the existence of other identical elements in the process, method, article or device including the element.

In this application, "at least one" means one or more, and "multiple" means two or more than two. "And/or" describes the relationship between related objects, indicating that three relationships can exist. For example, A and/or B can mean: A exists alone, A and B exist at the same time, and B exists alone, where A and B can be singular or plural. The terms "first", "second", "third", "fourth", etc. (if any) in the description, claims and drawings of this application are used to distinguish similar objects, rather than to describe a specific order or precedence.

In the embodiments of this application, words 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 interpreted as being more preferred or advantageous than other embodiments or designs. Rather, the use of words such as "exemplary" or "for example" is intended to present the relevant concepts in a concrete way.

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

This embodiment is applied to the health management platform side and includes the following steps:

Step 101: Receive the user's first body feature data and bed information, the first body feature data is measured by the user's smart wearable device.

In some embodiments, smart wearable devices include smart watches, smart bracelets and other wearable devices with health data detection functions. This embodiment does not specifically limit the type of smart wearable devices.

In some embodiments, the first body characteristic data includes one or any combination of the following: blood pressure, blood oxygen, heart rate, and respiratory rate. This embodiment does not specifically limit the type of the first body characteristic data. The smart wearable device has multiple sensors, such as an optical heart rate sensor that can monitor the user's heart rate.

In some embodiments, the smart wearable device obtains bed information by scanning the bed identification of the user's bed, such as a QR code, barcode, etc.

In some embodiments, the smart wearable device and bed information can also be bound through the terminal device. As shown in Figure 2, it is an effect diagram of the terminal device binding the smart wearable device and the bed information of the user's bed. The terminal device opens a specific application to scan the QR code of the user's bed and the QR code of the smart wearable device, and binds the smart wearable device to the bed information of the user's bed.

In some embodiments, the terminal device 2 includes: mobile phones, tablet computers, desktop computers, laptop computers, handheld computers, notebook computers and other devices with display and communication functions. This embodiment does not specifically limit the type of terminal device.

Step 102: Generate a user's health status card based on the bed information and the first body feature data, and display the health status card.

In some embodiments, the smart wearable device measures the user's first body feature data once every preset time, so that the health management platform can update the data on the health status card in real time, so that medical staff can know the user's recent physical condition, further improving the reliability of the health management method.

In some embodiments, the health management platform is also used to set a specific physical health data range of the user, and generate a card display color according to the data relationship between the first physical characteristic data and the specific physical health data range. Generating the user's health status card according to the bed information and the first physical characteristic data includes: generating the health status card according to the bed information, the first physical characteristic data and the card display color.

Please refer to Figure 3, which is a schematic diagram of the display interface of the health management platform. The health status card shown in Figure 3 has three colors: red, orange, and green. When the user's first physical characteristic data far exceeds the specific physical health data range, the corresponding health status card of the user is red; when the user's first physical characteristic data slightly exceeds the specific physical health data range, the corresponding health status card of the user is orange; when the user's first physical characteristic data does not exceed the specific physical health data range, the corresponding health status card of the user is green.

It is understandable that this embodiment does not specifically limit the types of card display colors, and can be set according to the actual needs of medical care, so that medical care can more intuitively observe the severity of each user's condition.

Please refer to Figure 4, which is a diagram showing the effect of setting the user's specific physical health data range in the health management platform. Medical care can set different specific physical health data ranges according to the actual conditions of different users to further improve the reliability of the health management system.

Please refer to Figure 5. When the user's blood oxygen, blood pressure, heart rate and other values are higher than normal values, these values will be displayed in a specific display color, so that medical staff can more intuitively observe which specific physical health data of each user is abnormal. It can be understood that this embodiment does not specifically limit the display color of the value.

Step 103: Detect the first body feature data, and after detecting that the first body feature data is abnormal, send a first reminder message.

In some embodiments, the first reminder message can be a voice broadcast reminder or a text reminder. This embodiment does not specifically limit the type of the first reminder message.

In some embodiments, the health management platform may send the first reminder message in the following manner: detecting whether the first body feature data is within the first valid data range; when detecting that the first body feature data is not within the first valid data range, reacquiring the first body feature data; when detecting that the first body feature data is within the first valid range, detecting whether the first body feature data is within the first preset health range, and when detecting that the first body feature data is not within the first preset health range, sending the first reminder message.

Specifically, taking the first body feature data as the user's body temperature as an example, assuming that the first valid data range is 33 degrees to 45 degrees, and the body temperature received by the health management platform is 50 degrees, it exceeds the first valid data range, and the user's body temperature is re-obtained; assuming that the first preset health range is 36 degrees to 37.5 degrees, the re-obtained user temperature is 39 degrees, which is within the first valid data range, but not within the first preset health range, then the first reminder message is sent.

It is understandable that this embodiment does not specifically limit the size of the first valid data range and the first preset health range, and can be set according to actual circumstances.

In some embodiments, the health management platform has the function of adding group and bed information. Please refer to Figure 3 again. New bed information can be added by clicking the "Add Patient" button, and a group can be added by clicking the "Add Group" button.

Please refer to Figure 6 and Figure 7. Figure 6 is the effect diagram of creating a new group in the health management platform, and Figure 7 is the effect diagram of adding a new bed in the health management platform. In this way, medical staff can divide different users into different groups according to actual needs for unified management.

In some embodiments, the health management platform can import patient information individually or in batches.

Please refer to Figures 8 to 10. Figure 8 is a schematic diagram of the table for batch importing patients in the health management platform, Figure 9 is a rendering of the batch importing patients in the health management platform, and Figure 10 is a rendering of the single importing patient in the health management platform. By using the "Add Multiple" button shown in Figure 9 and importing the table shown in Figure 8, batch importing of patients can be achieved.

In some embodiments, the health management platform can notify the smart wearable device to actively measure the first body feature data according to the color of the health status card.

Please refer to Figure 11, which is a diagram showing the effect of the health management platform notifying the smart wearable device of active measurement. By clicking the "Active Measurement" button, the health management platform will send active measurement information to the smart wearable device.

In some embodiments, the health management platform can change beds or release isolation for users. Please refer to Figures 12 and 13. Figure 12 is a rendering of the health management platform 3 changing beds for users, and Figure 13 is a rendering of the health management platform releasing isolation for users.

Specifically, the administrator can change the bed for the user by clicking the "Change Bed" button; the administrator can release the isolation for the user by clicking the "Release Isolation/Discharge" button. In some embodiments, the smart wearable device and/or terminal device is also used to obtain the patient feedback information of the user and upload the patient feedback information to the health management platform.

Specifically, when users find themselves feeling unwell, they can proactively send patient feedback information to the health management platform through smart wearable devices and/or terminal devices.

Please refer to Figures 14 and 15 for the effect diagram of the health management platform receiving patient feedback information. The patient feedback information is displayed in a pop-up window on the right, marking the current patient feedback information as read.

In some embodiments, the health management platform is also used to generate a data trend chart of the first body feature data based on all the first body feature data received.

Please refer to Figure 16, which is a rendering of the patient trend chart in the health management platform. By generating trend charts for each first body feature data, medical staff can more intuitively observe the user's physical changes.

In some embodiments, the health management platform can also download patients' historical data individually or in batches.

Please refer to Figures 17 and 18. Figure 17 is the effect of the health management platform downloading a patient's historical data individually, and Figure 18 is the effect of the health management platform downloading a patient's historical data in batches. In this way, it is convenient for medical staff to analyze the user's condition or the development pattern of the disease based on historical data.

Compared with the related technologies, the embodiments of the present application have at least the following advantages: by using smart wearable devices, medical staff can measure the user's first body feature data without contacting the user; by generating a user's health status card based on bed information and the first body feature data, and displaying the health status card, on the one hand, the first body feature data of different users can be accurately distinguished. On the other hand, it enables medical staff to accurately know the physical condition of each user through the health management cloud platform without contact with the patient, greatly reducing the risk of infection for medical staff; by performing data abnormality detection on the first body feature data and sending the first reminder message after detecting the abnormality of the first body feature data, medical staff can immediately know the patient's physical condition, so that they can track and treat the disease in real time.

Please refer to Figure 19, which is a flow chart of the health management method provided in an embodiment of the present application. This embodiment is a further improvement made on the basis of the aforementioned embodiment. The main improvement is that: this embodiment will also send a measurement reminder when the number of times the first reminder message is sent is greater than the second preset number of times, and receive the user's second body characteristic data. The second body characteristic number is obtained by measurement based on a medical instrument, and the measurement of the second body characteristic number is based on the measurement reminder. In this way, when the first body feature data of the user measured by the smart wearable device multiple times is abnormal, the second body feature data of the user can be measured by professional medical instruments. On the one hand, it can eliminate the factors of inaccurate measurement data of the smart wearable device, and on the other hand, it can ensure the accuracy of the second body feature data uploaded to the health management platform, so that medical staff can accurately understand the user's physical condition.

This embodiment is applied to the health management platform side and includes the following steps:

Step 201: Receive the user's first body feature data and bed information, the first body feature data is measured by the user's smart wearable device.

In some embodiments, before receiving the user's first body feature data and bed information, it also includes: the smart wearable device detects whether the first body feature data is within the second valid data range; when the smart wearable device detects that the first body feature data is not within the second valid data range, re-measures the first body feature data; when the smart wearable device detects that the first body feature data is within the second valid data range, the smart wearable device uploads the first body feature data.

Specifically, before the smart wearable device uploads the first body feature data, the smart wearable device will detect the validity of the first body feature data. The second valid data range of this embodiment can be the same as or different from the first valid data range of the aforementioned embodiment, and can be set according to actual needs.

In some embodiments, after the smart wearable device remeasures the first body feature data, it also includes: the smart wearable device obtains the number of measurements of the first body feature data; when the number of measurements is greater than the first preset number, the smart wearable device sends an alarm message. In this way, it is possible to detect whether the body feature data measurement function of the smart wearable device is abnormal, so that the staff can perform immediate maintenance when the body feature data measurement function of the smart wearable device is abnormal.

It is understandable that this embodiment does not specifically limit the number of measurements, and can be set according to actual needs.

Step 202: Generate a user's health status card based on the bed information and the first body feature data, and display the health status card.

Step 203: Detect the first body feature data, and after detecting that the first body feature data is abnormal, send a first reminder message.

Step 204: Detect whether the number of times the first reminder message is sent is greater than the second preset number of times, and send a measurement reminder when it is detected that the number of times the first reminder message is sent is greater than the second preset number of times.

In some embodiments, the second preset number of times is three times. It is understandable that this embodiment does not specifically limit the value of the preset number of times, and it can be set according to actual needs. In some embodiments, the health management platform can send the measurement reminder to medical instruments, medical care, terminal devices and smart wearable devices.

Step 205: Receive the user's second body feature data, the second body feature data is measured by a medical instrument.

In some embodiments, after receiving the second body feature data, a health status card of the user is generated based on the second body feature data.

Please refer to Figure 20, which is a flow chart of measuring the second body feature data provided in an embodiment of the present application. The health management platform is also used to detect whether the first body feature data is received every preset time period; if it is detected that the first body feature data is not received again after the preset time period has passed since the last time the first body feature data was received, a timeout reminder message is sent.

Specifically, taking the preset time period of 15 minutes as an example, after receiving the first body feature data sent by the terminal device last time, the health management platform detects whether the first body feature data is received again after 15 minutes. If not, a timeout reminder message is sent; if the first body feature data is received, it detects whether the first body feature data is abnormal three times in a row. If the first body feature data is abnormal three times in a row, a measurement reminder is sent to the medical instrument to measure the user's second body feature data using the medical instrument. If the first body feature data is not abnormal three times in a row, a re-measurement reminder is sent to the smart wearable device to ensure that the smart wearable device measures the user's first body feature data once every 15 minutes.

In some embodiments, a medical instrument is used to measure the user's second body feature data, and the second body feature data is uploaded to the health management platform through a terminal device.

In some embodiments, before the terminal device uploads the second body feature data to the health management platform, it also includes: detecting whether the second body feature data is within the third valid data range, and when the second body feature data is detected to be not within the third valid data range, reacquiring the second body feature data; when the second body feature data is detected to be within the third valid data range, detecting whether the second body feature data is within the second preset health range, and when the second body feature data is detected to be not within the second preset health range, generating upload confirmation information; when the second body feature data is within the second preset health range, or the response result of the upload confirmation information is confirmation upload, uploading the second body feature data.

Please refer to Figure 21, which is a flow chart of the method for uploading the second body feature data. The user logs the data measured by the medical instrument into the APP of the terminal device, and the terminal device detects whether the second body feature data is within the third valid data range. When it is detected that the second body feature data is not within the third valid data range, a TOAST reminder is sent, and the medical instrument is used again to measure the second body feature data; when the second body feature data is within the third valid data range, it is detected whether the value of the second body feature data exceeds the threshold. When it exceeds the threshold, the terminal device sends a pop-up reminder, and the medical staff confirms whether the value is correct. If it is confirmed to be correct, it is uploaded to the health management platform. If it is confirmed to be incorrect, the medical instrument is used again to measure the second body feature data.

In some embodiments, the second body characteristic data includes one or any combination of the following: blood pressure, blood oxygen, heart rate, and respiratory rate. This embodiment does not specifically limit the type of the second body characteristic data.

Please refer to Figure 22 and Figure 23. Figure 22 is the effect diagram of the first reminder message in the health management platform. Figure 23 is the effect diagram of the health management platform sending single or batch message notifications.

Compared with the related technologies, the embodiments of the present application have at least the following advantages: by using smart wearable devices, medical staff can measure the user's first body feature data without contacting the user; by generating a user's health status card based on bed information and the first body feature data, and displaying the health status card, on the one hand, the first body feature data of different users can be accurately distinguished. On the other hand, it enables medical staff to accurately know the physical condition of each user through the health management cloud platform without contact with the patient, greatly reducing the risk of infection for medical staff; by performing data abnormality detection on the first body feature data and sending the first reminder message after detecting the abnormality of the first body feature data, medical staff can immediately know the patient's physical condition, so that they can track and treat the disease in real time.

Please refer to Figure 24, which is a functional module schematic diagram of the health management system provided in an embodiment of the present application. The health management system includes: a smart wearable device 1 and a health management platform 2; the smart wearable device 1 is used to bind with the user's bed information, obtain the user's first body feature data, and upload the bed information and the first body feature data to the health management platform 2; the health management platform 2 is used to generate the user's health status card according to the bed information and the first body feature data, and display the health status card; the health management platform 2 is also used to detect the first body feature data, and send a first reminder message after detecting that the first body feature data is abnormal.

It can be understood that the health management method of this embodiment corresponds to the health management system of the aforementioned embodiment. Therefore, the beneficial effects that can be achieved can refer to the beneficial effects in the corresponding system provided above, which will not be elaborated here.

Compared with the related art, the embodiment of the present application has at least the following advantages: by using the smart wearable device, the smart wearable device can measure the user's first body feature data every preset time period; by binding the smart wearable device with the bed information of the user's bed, the first body feature data of different users can be accurately distinguished, and the health management platform performs data anomaly detection on each uploaded first body feature data. Detection, and send the first reminder message after detecting the abnormality of the first body feature data, so that medical staff can immediately know the patient's physical condition, so that they can track and treat the condition in real time; in addition, the display interface of the health management cloud platform displays health status cards, so that medical staff can accurately know the physical condition of each patient through the health management cloud platform without contacting the patient, which greatly reduces the infection risk of medical staff.

In several embodiments provided in this application, the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are schematic, for example, the division of the module or unit is a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another device, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

The unit described as a separate component may or may not be physically separated, and the component shown as a unit may be one physical unit or multiple physical units, that is, it may be located in one place or distributed in multiple different places. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

In addition, each functional unit in each embodiment of the present application can be integrated into a processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or software functional unit.

If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiment of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium and includes a number of instructions for a device (which can be a single-chip microcomputer, chip, etc.) or a processor to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage media include: USB flash drives, mobile hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks or optical disks, and other media that can store program codes.

The above is only the specific implementation method of this application, but the protection scope of this application is not limited to this. Any changes or replacements within the technical scope disclosed in this application should be covered by the protection scope of this application.

101, 102, 103: Steps

Claims (9)

A health management method, which includes: receiving a user's first body feature data and bed information, wherein the first body feature data is measured by the user's smart wearable device; generating the user's health status card according to the bed information and the first body feature data, and displaying the health status card; detecting the first body feature data, and sending a first reminder message after detecting that the first body feature data is abnormal; before receiving the user's first body feature data and bed information, it also includes: the smart wearable device detecting whether the first body feature data is within a second valid data range; when the smart wearable device detects that the first body feature data is not within the second valid data range, re-measuring the first body feature data; when the smart wearable device detects that the first body feature data is within the second valid data range, the smart wearable device uploads the first body feature data. The health management method as described in claim 1, wherein the detecting the first body feature data and sending the first reminder message after detecting that the first body feature data is abnormal includes: detecting whether the first body feature data is within the first valid data range; when detecting that the first body feature data is not within the first valid data range, reacquiring the first body feature data; when detecting that the first body feature data is within the first valid range, detecting whether the first body feature data is within the first preset health range, and sending the first reminder message when detecting that the first body feature data is not within the first preset health range. The health management method as described in claim 1, wherein after the re-measurement of the first body feature data, it further includes: the smart wearable device obtains the number of measurements of the re-measurement of the first body feature data; when the number of measurements is greater than the first preset number, the smart wearable device sends an alarm message. The health management method as described in claim 1, wherein the method further comprises: detecting whether the number of times the first reminder message is sent is greater than a second preset number of times, and sending a measurement reminder when it is detected that the number of times the first reminder message is sent is greater than the second preset number of times; receiving the second body feature data of the user, wherein the second body feature number is measured by a medical instrument, and the measurement of the second body feature number is based on the measurement reminder. The health management method as described in claim 4, wherein before receiving the second body feature data of the user, it further includes: detecting whether the second body feature data is within the third valid data range, and when the second body feature data is detected to be not within the third valid data range, reacquiring the second body feature data; when the second body feature data is detected to be within the third valid data range, detecting whether the second body feature data is within the second preset health range, and when the second body feature data is detected to be not within the second preset health range, generating upload confirmation information; when the second body feature data is within the second preset health range, or the response result of the upload confirmation information is confirmation upload, uploading the second body feature data. The health management method as described in claim 1, wherein the smart wearable device measures the first body feature data of the user once every preset time period; the method further comprises: detecting whether the first body feature data is received every preset time period; and sending a timeout reminder message when it is detected that the first body feature data is not received again after the preset time period has passed since the first body feature data was received last time. The health management method as described in claim 1, wherein the sending of the first reminder message after detecting that the first body characteristic data is abnormal includes: sending the first reminder message when detecting that the first body characteristic data is not within the preset specific body health data range; the method further includes: generating a card display color according to the data relationship between the first body characteristic data and the specific body health data range; the generating of the user's health status card according to the bed information and the first body characteristic data includes: generating the health status card according to the bed information, the first body characteristic data and the card display color. The health management method as described in claim 1, wherein the method further comprises: treating the first body characteristic data that is not within the scope of specific body health data as abnormal data, and generating a specific display color for the abnormal data; generating the user's health status card based on the bed information and the first body characteristic data, comprises: generating the health status card based on the bed information, the first body characteristic data and the specific display color. A health management system, including: a smart wearable device and a health management platform; the smart wearable device is used to bind with the bed information of the user, obtain the first body characteristic data of the user, and upload the bed information and the first body characteristic data to the health management platform; the health management platform is used to generate the health status card of the user according to the bed information and the first body characteristic data, and display the health status card; the health management platform is also used to detect the first body characteristic data, and send a first reminder message after detecting that the first body characteristic data is abnormal.