Home care information push method, device, computer equipment and storage medium

Abstract

The present application relates to a method, device, computer equipment and storage medium for pushing home care information. The method comprises: receiving physiological monitoring data of a service object sent by a home care terminal; the physiological monitoring data is obtained by the home care terminal identifying the collected sound data; obtaining basic information of the service object; determining the health status of the service object according to the physiological monitoring data and the basic information; generating home care information according to the health status of the service object; and pushing the home care information to the home care terminal. The use of this method can improve the service quality of home care services.

Description

Technical Field

[0001] The present application relates to the field of home care technology, and in particular to a method, device, computer equipment and storage medium for pushing home care information. Background Art

[0002] Home care refers to the provision of nursing services with the family as the core, mainly for people in need (service recipients) living at home, with the main content of solving daily life difficulties. The services of home care include life care, medical services, and spiritual care services, etc. The main form is that professionally trained service personnel provide care services to the service recipients at their homes.

[0003] However, in the process of home care services, after the service personnel measure the physiological items of the service recipients and obtain the measured values, they are unable to promptly analyze the health status of the service recipients based on the measured values ​​and then give corresponding suggestions, thereby reducing the service quality of home care services. Summary of the invention

[0004] Based on this, it is necessary to provide a home care information push method, device, computer equipment and storage medium to address the technical problem of low service quality of home care services.

[0005] A method for pushing home care information is applied to a home care server, and the method comprises:

[0006] Acquiring physiological monitoring data of the serviced person sent by the home care terminal, wherein the physiological monitoring data is obtained by the home care terminal identifying the collected sound data;

[0007] Obtaining basic information of the service recipient;

[0008] Determine the health status of the served person according to the physiological monitoring data and the basic information;

[0009] Generate home care information according to the health status of the person being served;

[0010] The home care information is pushed to the home care terminal.

[0011] In one embodiment, generating home care information according to the health condition of the served person includes:

[0012] The health condition is a normal condition, and the home care information includes health and wellness information.

[0013] In one embodiment, determining the health status of the served person according to the physiological monitoring data and the basic information; and generating home care information according to the health status of the served person include:

[0014] Acquire a recurrence risk prediction result according to the physiological monitoring data and the basic information in combination with a recurrence risk prediction model, wherein the recurrence risk prediction result includes a recurrence risk prediction value;

[0015] If the recurrence risk prediction value is higher than the first risk threshold, it is determined that the health condition of the served person is in a recurrence abnormal condition;

[0016] Home care information is generated according to the recurrence risk prediction result and the recurrence abnormal condition, and the home care information includes recurrence warning information.

[0017] In one embodiment, determining the health status of the served person according to the physiological monitoring data and the basic information; and generating home care information according to the health status of the served person include:

[0018] Obtaining historical physiological monitoring data and historical dietary information of the served person;

[0019] Obtaining a disease risk prediction result based on the physiological monitoring data, the basic information, the historical physiological monitoring data, and the historical dietary information in combination with a disease risk prediction model, wherein the disease risk prediction result includes a disease risk value;

[0020] If the disease risk value is higher than the second risk threshold, it is determined that the health condition of the served person is in an abnormal disease condition;

[0021] Home care information is generated according to the disease risk prediction result and the abnormal disease condition, and the home care information includes disease warning information.

[0022] In one embodiment, the generating of home care information according to the disease risk prediction result and the abnormal disease condition, the home care information including disease warning information, further comprising:

[0023] The disease risk prediction result also includes the name of the disease;

[0024] Generate dietary advice information according to the name of the disease, the basic information and the historical dietary information;

[0025] The step of pushing the home care information to the home care terminal comprises:

[0026] The disease warning information and the dietary advice information are pushed to the home care terminal.

[0027] A method for displaying home care information, applied to a home care terminal, comprises:

[0028] Collecting sound data through the service host or microphone box of the home care terminal, identifying the sound data, and obtaining physiological monitoring data;

[0029] sending the physiological monitoring data to the home care server;

[0030] Receiving home care information fed back by the home care server based on the physiological monitoring data;

[0031] determining the information type of the home care information;

[0032] The home care information is displayed according to the information type.

[0033] A home care information push device, the device comprising:

[0034] A physiological monitoring data receiving module, used to obtain the physiological monitoring data of the serviced person sent by the home care terminal; the physiological monitoring data is obtained by the home care terminal identifying the collected sound data;

[0035] A basic information acquisition module is used to acquire the basic information of the service recipient;

[0036] A health status determination module, used to determine the health status of the served person according to the physiological monitoring data and the basic information;

[0037] A home care information generation module, used to generate home care information according to the health status of the service recipient;

[0038] The home care information sending module is used to push the home care information to the home care terminal.

[0039] In one embodiment, the health condition is a normal condition, and the home care information includes health care information.

[0040] In one embodiment, the health status determination module and the home care information generation module are further used to:

[0041] Acquire a recurrence risk prediction result according to the physiological monitoring data and the basic information in combination with a recurrence risk prediction model, wherein the recurrence risk prediction result includes a recurrence risk prediction value;

[0042] If the recurrence risk prediction value is higher than the first risk threshold, it is determined that the health condition of the served person is in a recurrence abnormal condition;

[0043] Home care information is generated according to the recurrence risk prediction result and the recurrence abnormal condition, and the home care information includes recurrence warning information.

[0044] In one embodiment, the health status determination module and the home care information generation module are further used to:

[0045] Obtaining historical physiological monitoring data and historical dietary information of the served person;

[0046] Obtaining a disease risk prediction result based on the physiological monitoring data, the basic information, the historical physiological monitoring data, and the historical dietary information in combination with a disease risk prediction model, wherein the disease risk prediction result includes a disease risk value;

[0047] If the disease risk value is higher than the second risk threshold, it is determined that the health condition of the served person is in an abnormal disease condition;

[0048] Home care information is generated according to the disease risk prediction result and the abnormal disease condition, and the home care information includes disease warning information.

[0049] In one embodiment, the health status determination module and the home care information generation module are further used to:

[0050] The disease risk prediction result also includes the name of the disease;

[0051] Generate dietary advice information according to the name of the disease, the basic information and the historical dietary information;

[0052] The disease warning information and the dietary advice information are pushed to the home care terminal.

[0053] A home care information display device, comprising:

[0054] A sound data collection module, used to collect sound data through the service host or microphone box of the home care terminal;

[0055] A physiological monitoring data acquisition module, used to identify the sound data to obtain physiological monitoring data;

[0056] A physiological monitoring data sending module, used for sending the physiological monitoring data to the home care server;

[0057] A home care information receiving module, used for receiving the home care information fed back by the home care server based on the physiological monitoring data;

[0058] An information type determination module, used to determine the information type of the home care information;

[0059] The home care information display module is used to display the home care information according to the information type.

[0060] A computer device comprises a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of any one of the above methods when executing the computer program.

[0061] A computer-readable storage medium stores a computer program, which implements the steps of any one of the above methods when executed by a processor.

[0062] The above-mentioned home care information push method, device, computer equipment and storage medium obtain the physiological monitoring data of the service person sent by the home care terminal, the physiological monitoring data is obtained by the home care terminal identifying the collected sound data, and obtains the basic information of the service person, and then determines the health status of the service person based on the physiological monitoring data and the basic information, generates home care information based on the health status of the service person, and pushes the home care information to the home care terminal, so that the home care terminal can display the home care information, so that the service person can know his or her health status in time, thereby improving the service quality of home care services. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] Figure 1 This is an application environment diagram of a method for pushing home care information in one embodiment;

[0064] Figure 2 It is a flowchart of a method for pushing home care information in one embodiment;

[0065] Figure 3 A flowchart of a health status determination step in one embodiment;

[0066] Figure 4 A flowchart of a health status determination step in another embodiment;

[0067] Figure 5 is a flow chart of a method for displaying home care information in one embodiment;

[0068] Figure 6 It is a flowchart of a method for pushing home care information in another embodiment;

[0069] Figure 7 is a structural block diagram of a home care information push device in one embodiment;

[0070] Figure 8 is a structural block diagram of a home care information display device in one embodiment;

[0071] Fig. 9 is an internal structure diagram of a computer device in one embodiment;

[0072] Fig.10 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0073] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0074] The home care information push method provided in this application can be applied to Figure 1 In the application environment shown. Among them, the home care terminal 102 communicates with the home care server 104 through the network. The home care terminal 102 includes a service host 102a and a microphone box 102b. When the service personnel performs the home care service corresponding to the service order, the microphone box 102b can be worn on themselves, and the service host 102a is placed next to the service person. When the microphone box 102b is turned on, the microphone box 102b and the service host 102a can be connected through the network. The microphone box 102b and the service host 102a are both provided with a microphone array, and the microphone box 102b and the service host 102a can collect the voice generated during the execution of the home care service through the microphone array. After measuring the measured value of a physiological item of the service person, the service personnel can read out the measured physiological items and the corresponding measured values ​​aloud, and the microphone box 102b and the service host 102a can collect the sound data about the physiological items and the corresponding measured values. The service host 102a can identify the sound data, obtain physiological monitoring data, and send the physiological monitoring data to the home care server 104, so that the home care server 104 generates corresponding home care information according to the physiological monitoring data. Taking the above-mentioned home care information push method executed on the home care server 104 as an example, the home care server 104 obtains the physiological monitoring data of the service person sent by the home care terminal 102, and the physiological monitoring data is obtained by the home care terminal identifying the collected sound data; obtains the basic information of the service person; determines the health status of the service person according to the physiological monitoring data and the basic information; generates home care information according to the health status of the service person; and pushes the home care information to the home care terminal. Among them, the home care terminal 102 can be but is not limited to various portable devices, and the home care server 104 can be implemented by an independent server or a server cluster composed of multiple servers.

[0075] In one embodiment, Figure 2As shown, a home care information push method is provided, and the method is applied to Figure 1 The home care server in the example is used to illustrate the process, including the following steps:

[0076] S202, obtaining physiological monitoring data of the service recipient sent by the home care terminal.

[0077] Among them, the physiological monitoring data is obtained by the home care terminal identifying the collected sound data.

[0078] In one embodiment, when the service personnel is providing home care services to the person being served, the service personnel can measure the value of a certain physiological item of the person being served, and read aloud the measured physiological item and the corresponding measurement value, and the home care terminal service host or microphone box can collect the sound data corresponding to the physiological item and the corresponding measurement value, and identify the sound data to obtain physiological monitoring data, and send the physiological monitoring data to the home care server, and the home care server receives the physiological monitoring data.

[0079] S204, obtaining basic information of the service recipient.

[0080] Among them, the basic information of the service recipient is the information of the service recipient that the home care service provider needs to collect before formulating a service plan for the service recipient, including the service recipient's gender, age, medical history, allergy history and other information.

[0081] In one embodiment, when the home care recipient or the family of the recipient purchases home care services for the recipient, they will provide the home care service provider with the basic information of the recipient. The home care service provider can formulate a corresponding service plan for the recipient based on the basic information of the recipient, and also save the basic information of the recipient, so that when providing home care services to the recipient, the health status of the recipient can be determined based on the measured physiological monitoring data and basic information of the recipient.

[0082] S206, determining the health status of the served person based on the physiological monitoring data and basic information.

[0083] In one embodiment, after obtaining the physiological monitoring data and basic information of the service recipient, the home care server obtains the disease corresponding to the service recipient from the disease history of the basic information according to the physiological items corresponding to the physiological monitoring data, and determines whether the measured value of the physiological monitoring data is within the first normal range according to the disease, the age of the service recipient, and the gender of the service recipient. If it is within the first normal range, the health condition of the service recipient is determined to be normal; if it is not within the first normal range, the health condition of the service recipient is determined to be abnormal. The first normal range is the normal range corresponding to the disease.

[0084] In one embodiment, if the home care server does not obtain the corresponding disease of the service person from the disease history of the basic information according to the physiological items corresponding to the physiological monitoring data, it directly determines whether the physiological monitoring data is within the second normal range according to the gender and age of the service person. If it is within the second normal range, it determines that the health condition of the service person is normal; if it is not within the second normal range, it determines that the health condition of the service person is abnormal. The second normal range is the normal range corresponding to the condition of not being sick.

[0085] S208, generating home care information according to the health status of the person being served.

[0086] S210, pushing home care information to the home care terminal.

[0087] Among them, home care information is information about home care provided to home care service recipients, including health and wellness information and health warning information. The health warning information is used to remind home care service recipients of abnormalities in their health conditions so that they can seek medical treatment in time. The type of home care information can be at least one of text, sound, and video.

[0088] In one embodiment, if the home care server determines that the health condition of the service person is abnormal based on the physiological monitoring data and basic information, it generates corresponding health warning information based on the determined abnormal condition, and sends the health warning information to the home care terminal so that the home care terminal can display the health warning information to remind the service person that his or her health condition is abnormal.

[0089] In one embodiment, after the home care server generates corresponding health warning information according to the determined abnormal condition, it can also send the health warning information to the terminal corresponding to the family of the served person, so that the family of the served person can be informed that the health condition of the served person is abnormal, and then send the served person to the doctor in time.

[0090] In one embodiment, if the home care server determines that the health status of the service recipient is normal based on the physiological monitoring data and basic information, the server obtains relevant health and wellness information based on the basic information of the service recipient, and sends the health and wellness information to the home care terminal. After receiving the health and wellness information, the home care terminal displays the health and wellness information so that the service recipient can obtain the health and wellness information, develop more scientific living habits, and improve their own health status.

[0091] In the above embodiment, the home care server receives the physiological monitoring data of the service person sent by the home care terminal, where the physiological monitoring data is obtained by the home care terminal identifying the collected sound data, and obtains the basic information of the service person, and then determines the health status of the service person based on the physiological monitoring data and the basic information, generates home care information based on the health status of the service person, and pushes the home care information to the home care terminal, so that the home care terminal can display the home care information, so that the service person can know his or her health status in time, thereby improving the service quality of home care services.

[0092] In one embodiment, Figure 2 As shown, S206 specifically includes the following steps:

[0093] S302, obtaining a recurrence risk prediction result according to the physiological monitoring data and the basic information in combination with a recurrence risk prediction model, wherein the recurrence risk prediction result includes a recurrence risk prediction value.

[0094] Among them, the recurrence risk prediction model is used to predict the recurrence probability of a certain chronic disease suffered by the service personnel. The recurrence risk prediction model can be a recurrence risk prediction model constructed by the home care server based on a large amount of statistical patient information of a certain chronic disease, the patient's physiological monitoring data, and recurrence conditions, etc., based on statistical analysis of the analysis results.

[0095] In one embodiment, after obtaining the physiological monitoring data and basic information of the service person, the home care server obtains the corresponding recurrence risk prediction model based on the physiological monitoring data and basic information, and inputs the physiological monitoring data and basic information into the determined recurrence risk prediction model to perform recurrence risk prediction, and obtains the recurrence risk prediction result, wherein the recurrence risk prediction result includes the disease name and the corresponding recurrence risk prediction value (recurrence probability).

[0096] S304: If the recurrence risk prediction value is higher than the first risk threshold, it is determined that the health condition of the served person is in a recurrence abnormal condition.

[0097] In one embodiment, after the home care server predicts the recurrence risk of a certain disease suffered by the service person through the recurrence risk prediction model to obtain the recurrence risk prediction result, it is determined whether the recurrence risk prediction value in the recurrence risk prediction result is higher than the first risk threshold. If so, it is determined that the health condition of the service person is in an abnormal recurrence condition, that is, the recurrence risk of the service person is high. Among them, the first risk threshold is the risk threshold corresponding to the disease name in the recurrence risk prediction result.

[0098] S306, generating home care information according to the recurrence risk prediction result and the recurrence abnormality condition, wherein the home care information includes recurrence warning information.

[0099] In one embodiment, when the home care server determines that the health condition of the service person is in an abnormal recurrence condition based on the disease risk prediction result, it determines the corresponding recurrence risk level according to the recurrence risk prediction value in the recurrence risk prediction result, and generates recurrence warning information according to the abnormal recurrence condition, disease name and recurrence risk level, so as to send the recurrence warning information to the service person or the service person's family, reminding the service person or the service person's family to take preventive measures in advance, so that the service person can seek medical treatment in time.

[0100] In the above embodiment, the home care server performs recurrence risk prediction based on physiological monitoring data and basic information in combination with a recurrence risk prediction model to obtain a recurrence risk prediction result including a recurrence risk prediction value, and when the recurrence risk prediction value is higher than a first risk threshold, determines that the health status of the service person is in a recurrence abnormal condition, and generates home care information based on the recurrence abnormal condition and the recurrence risk prediction result. The home care information includes recurrence warning information, and by sending the recurrence warning information to the service person or the service person's family, the service person or the service person's family can be reminded to take precautions in advance, so that the service person can seek medical treatment in time, thereby improving the service quality of home care services.

[0101] In one embodiment, Figure 4 As shown, S206 specifically includes the following steps:

[0102] S402, obtaining historical physiological monitoring data and historical dietary information of the served person.

[0103] The historical physiological monitoring data is the physiological monitoring data sent by the home care terminal each time the home care service recipient is provided with home care services during the historical period. The historical dietary information may be the dietary information reported by the home care recipient through the home care terminal during the historical period.

[0104] In one embodiment, the home care server saves the physiological monitoring data and dietary information reported by the home care terminal each time, so that the home care server stores the historical physiological monitoring data and historical dietary information of the service person. After the home care server receives the physiological monitoring data of the service person sent by the current home care terminal, if the home care server fails to obtain the corresponding disease of the service person from the disease history of the basic information based on the physiological items corresponding to the physiological monitoring data, then the home care server directly determines whether the physiological monitoring data is within the second normal range based on the gender and age of the service person. When the physiological monitoring data is not within the second normal range, the stored historical physiological monitoring data and historical dietary information of the service person are obtained to predict the risk of the service person suffering from other diseases.

[0105] S404, predicting the disease risk by combining the physiological monitoring data, historical physiological monitoring data, historical dietary information and basic information with the disease risk prediction model to obtain a disease risk prediction result, wherein the disease risk prediction result includes a disease risk value.

[0106] Among them, the disease risk prediction model is used to predict the probability of the served person suffering from other diseases. The disease risk prediction model is constructed by the home care server based on a large amount of statistical patient information of common diseases of the served person's population, the patient's dietary information before the disease, the patient's physiological monitoring data and recurrence situation, etc. The population to which the served person belongs can be divided according to the age of the served person, the disease the served person has suffered, etc., such as the elderly, the hypertensive population, the hyperglycemic population, etc.

[0107] In one embodiment, after obtaining the historical physiological monitoring data and historical dietary information of the person being served, the home care server inputs the historical physiological monitoring data, historical dietary information, physiological monitoring data and basic information of the person being served into a disease risk prediction model to perform disease risk prediction and obtain a disease risk prediction result, wherein the disease risk prediction result includes the name of the disease and the corresponding disease risk prediction value (probability of disease).

[0108] S406: If the disease risk value is higher than the second risk threshold, it is determined that the health condition of the service recipient is in an abnormal disease condition.

[0109] In one embodiment, after the home care server predicts the risk of a certain disease of the service person through the disease risk prediction model to obtain the disease risk prediction result, it is determined whether the disease risk prediction value in the disease risk prediction result is higher than the second risk threshold. If so, it is determined that the health condition of the service person is an abnormal disease condition, that is, the service person has a high risk of a certain disease. The second risk threshold is the risk threshold corresponding to the disease name in the disease risk prediction result.

[0110] S408, generating home care information according to the disease risk prediction result and the abnormal disease condition, wherein the home care information includes disease warning information.

[0111] In one embodiment, when the home care server determines that the health status of the service person is in an abnormal disease condition based on the disease risk prediction results, it determines the corresponding disease risk level based on the disease risk prediction value in the disease risk prediction results, and generates disease warning information based on the abnormal disease condition, the name of the disease and the disease risk level, so as to send the disease warning information to the service person or the service person's family, reminding the service person or the service person's family to take precautions in advance, thereby reducing the risk of the service person becoming ill.

[0112] In the above embodiment, the home care server obtains the historical physiological monitoring data and historical dietary information of the served person, and obtains the disease risk prediction result including the disease risk value based on the physiological monitoring data, historical physiological monitoring data, historical dietary information and basic information and in combination with the disease risk prediction model. When the disease risk value is higher than the second risk threshold, the health status of the served person is determined to be an abnormal disease condition, and home care information is generated based on the disease risk prediction result and the abnormal disease condition. The home care information includes disease warning information, and by sending the disease warning information to the served person or the family of the served person, the served person or the family of the served person can be reminded to take precautions in advance, thereby reducing the risk of illness of the served person, thereby improving the service quality of home care services.

[0113] In one embodiment, after the home care server predicts the disease risk of a certain disease of the service person through a disease risk prediction model to obtain a disease risk prediction result, when it is determined that the disease risk prediction value in the disease risk prediction result is higher than a second risk threshold, dietary recommendation information is generated according to the disease name, basic information and historical dietary information in the disease risk prediction result, and the generated disease warning information and dietary recommendation information are sent to the home care terminal to remind the service person to pay attention to dietary adjustments, thereby reducing the risk of illness of the service person.

[0114] In the above embodiment, when the home care server determines that the disease risk prediction value in the disease risk prediction result is higher than the second risk threshold, it generates dietary recommendation information based on the disease name, basic information and historical dietary information in the disease risk prediction result, and sends the generated disease warning information and dietary recommendation information to the home care terminal to remind the service person to pay attention to dietary adjustments, thereby reducing the risk of illness of the service person, thereby improving the service quality of home care services.

[0115] In one embodiment, Figure 5 As shown, a method for displaying home care information is also provided, and the method is applied to Figure 1 The home care terminal in the example is used to illustrate, including the following steps:

[0116] S502, collecting sound data through the service host or microphone box of the home care terminal.

[0117] In one embodiment, the service personnel wears the microphone box of the home care terminal on themselves, the service host of the home care terminal is placed next to the person being served, the microphone box is turned on, and a communication connection has been established between the microphone box and the service host, and a microphone array is provided on both the microphone box and the service host. After the countdown of the service host begins, the service personnel starts to provide home care services corresponding to the service order of the person being served. During the home care service, both the service personnel and the person being served can speak, and at this time, the sound data generated by the service personnel and the person being served when speaking can be collected through the microphone box of the home care terminal or the service host.

[0118] In one embodiment, when the service personnel is providing home care services to the person being served, the service personnel can measure the value of a certain physiological item of the person being served, and read aloud the measured physiological item and the corresponding measurement value, and the home care terminal service host or microphone box can collect the sound data corresponding to the physiological item and the corresponding measurement value.

[0119] S504, identifying the sound data to obtain physiological monitoring data.

[0120] In one embodiment, after the service host of the home care terminal collects the sound data or receives the sound data sent by the microphone box, the sound data is recognized by the speech recognition model to obtain the physiological monitoring data. Among them, the speech recognition model is a speech recognition model trained by the home care server. After the home care server trains the speech recognition model, it sends the trained speech recognition model to the service host of the home care terminal so that the service host of the home care terminal can recognize the collected sound data. The speech recognition model is a model that converts the input sound data into language and text. It can be a speech recognition model based on algorithms such as dynamic time warping, hidden Markov model and artificial neural network. Specifically, it can be a keyword recognition model based on the Kaldi framework (Kaldi is an open source speech recognition toolkit), which mainly includes an acoustic model and a language model. The acoustic model is to calculate the probability of the input sound signal originating from a certain acoustic symbol, which is equivalent to converting the sound into the representation output of the acoustic symbol. Phoneme is an acoustic symbol. It is the most basic component unit of each language, with a clear definition and a limited number, while a phrase is composed of the continuous pronunciation of multiple phonemes. The language model estimates the probability of a word sequence by learning the characteristic relationships between words from a training speech set.

[0121] In one embodiment, the home care service host identifies the sound data to obtain a recognition result, and determines the unit of the corresponding measurement value according to the physiological items in the recognition result, thereby obtaining physiological monitoring data according to the recognition result and the unit of the measurement value. The physiological items can be body temperature, pulse, blood sugar, and blood pressure, and the corresponding measurement values ​​can be body temperature, pulse rate, blood sugar value, and blood pressure value. For example, the physiological item measured by the service personnel is blood sugar, and the measurement value is 5.6 mmol / L. After the service personnel measures the blood sugar value of the service personnel, they read out "the blood sugar value is 5.6", then the service host or the Mike box of the home care terminal will collect the sound data corresponding to "the blood sugar value is 5.6", the service host identifies the sound data, obtains the recognition result "the blood sugar value is 5.6", and determines the corresponding unit as "mmol / L" according to "blood sugar", thereby obtaining the corresponding physiological monitoring data "the blood sugar value is 5.6 mmol / L", and sends the physiological monitoring data to the home care server.

[0122] S506, sending the physiological monitoring data to the home care server.

[0123] S508, receiving home care information fed back by the home care server based on the physiological monitoring data.

[0124] In one embodiment, after the home care terminal recognizes the collected voice data to obtain physiological monitoring data, the home care terminal sends the physiological monitoring data to the home care server. After receiving the physiological monitoring data of the service person, the home care server obtains the basic information of the service person and determines the health status of the service person based on the physiological monitoring data and basic information of the service person. When the home care server determines that the health status of the service person is abnormal, it generates corresponding home care information based on the abnormal condition of the service person and sends the home care information to the home care terminal.

[0125] S510, determining the information type of the home care information.

[0126] S512, displaying the home care information according to the information type.

[0127] The information type of the home care information may be at least one of text, sound, and video.

[0128] In one embodiment, after receiving the home care information returned by the home care server, the home care terminal determines the information type of the home care information and displays the care information according to the type of the home care information. For example, if the information type of the home care information is sound, the home care terminal can play the home care information through the service host or microphone box of the home care terminal.

[0129] In the above embodiment, the home care terminal obtains physiological monitoring data by identifying the collected sound data, and sends the physiological monitoring data to the home care server, receives home care information fed back by the home care server based on the physiological monitoring data, and after determining the information type of the home care information, displays the home care information according to the information type, so that the service recipient can receive the home care information generated by the home care server according to the health status of the service recipient, so that the service recipient can know his or her health status in time, thereby improving the service quality of the home care service.

[0130] In one embodiment, Figure 6 As shown, a home care information push method is also provided, and the method is applied to Figure 1 The home care terminal in the example is used to illustrate, including the following steps:

[0131] S602, obtaining physiological monitoring data of the service recipient sent by the home care terminal.

[0132] S604, obtaining basic information of the service recipient.

[0133] S606, determining the health status of the served person based on the physiological monitoring data and basic information.

[0134] S608: If the health condition is normal, determine health and wellness information based on the basic information of the person being served.

[0135] S610, push health and wellness information to the home care terminal.

[0136] S612: If the health condition is abnormal, generate health warning information according to the abnormal condition.

[0137] S614, push the health warning information to the home care terminal.

[0138] It should be understood that although Figure 2-6 The steps in the flowchart are shown in sequence as indicated by the arrows, but these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified in this document, there is no strict order restriction for the execution of these steps, and these steps can be executed in other orders. Moreover, Figure 2-6 At least part of the steps may include multiple steps or multiple stages. These steps or stages are not necessarily performed at the same time, but can be performed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed in turn or alternately with other steps or at least part of the steps or stages in other steps.

[0139] In one embodiment, Figure 7 As shown, a home care information push device is provided, including: a physiological monitoring data receiving module 702, a basic information acquisition module 704, a health status determination module 706, a home care information generation module 708 and a home care information sending module 710, wherein:

[0140] The physiological monitoring data receiving module 702 is used to obtain the physiological monitoring data of the service person sent by the home care terminal; the physiological monitoring data is obtained by the home care terminal identifying the collected sound data;

[0141] The basic information acquisition module 704 is used to acquire the basic information of the service personnel;

[0142] A health status determination module 706 is used to determine the health status of the service recipient based on the physiological monitoring data and basic information;

[0143] The home care information generating module 708 is used to generate home care information according to the health status of the service recipient;

[0144] The home care information sending module 710 is used to push the home care information to the home care terminal.

[0145] In one embodiment, the health condition is a normal condition, and the home care information includes health care information.

[0146] In the above embodiment, the home care server receives the physiological monitoring data of the service person sent by the home care terminal, where the physiological monitoring data is obtained by the home care terminal identifying the collected sound data, and obtains the basic information of the service person, and then determines the health status of the service person based on the physiological monitoring data and the basic information, generates home care information based on the health status of the service person, and pushes the home care information to the home care terminal, so that the home care terminal can display the home care information, so that the service person can know his or her health status in time, thereby improving the service quality of home care services.

[0147] In one embodiment, the health status determination module 706 and the home care information generation module 708 are further used to:

[0148] Obtaining a recurrence risk prediction result based on physiological monitoring data and basic information in combination with a recurrence risk prediction model, wherein the recurrence risk prediction result includes a recurrence risk prediction value;

[0149] If the recurrence risk prediction value is higher than the first risk threshold, the health condition of the service recipient is determined to be an abnormal recurrence condition;

[0150] Home care information is generated based on the recurrence risk prediction results and the abnormal recurrence conditions, and the home care information includes recurrence warning information.

[0151] In the above embodiment, the home care server performs recurrence risk prediction based on physiological monitoring data and basic information in combination with a recurrence risk prediction model to obtain a recurrence risk prediction result including a recurrence risk prediction value, and when the recurrence risk prediction value is higher than a first risk threshold, determines that the health status of the service person is in a recurrence abnormal condition, and generates home care information based on the recurrence abnormal condition and the recurrence risk prediction result. The home care information includes recurrence warning information, and by sending the recurrence warning information to the service person or the service person's family, the service person or the service person's family can be reminded to take precautions in advance, so that the service person can seek medical treatment in time, thereby improving the service quality of home care services.

[0152] In one embodiment, the health status determination module 706 and the home care information generation module 708 are further used to:

[0153] Obtain historical physiological monitoring data and historical dietary information of the service personnel;

[0154] Obtaining a disease risk prediction result based on physiological monitoring data, basic information, historical physiological monitoring data, and historical dietary information in combination with a disease risk prediction model, wherein the disease risk prediction result includes a disease risk value;

[0155] If the disease risk value is higher than the second risk threshold, the health condition of the service personnel is determined to be abnormal disease condition;

[0156] Home care information is generated based on disease risk prediction results and abnormal disease conditions, and the home care information includes disease warning information.

[0157] In the above embodiment, the home care server obtains the historical physiological monitoring data and historical dietary information of the served person, and obtains the disease risk prediction result including the disease risk value based on the physiological monitoring data, historical physiological monitoring data, historical dietary information and basic information and in combination with the disease risk prediction model. When the disease risk value is higher than the second risk threshold, the health status of the served person is determined to be an abnormal disease condition, and home care information is generated based on the disease risk prediction result and the abnormal disease condition. The home care information includes disease warning information, and by sending the disease warning information to the served person or the family of the served person, the served person or the family of the served person can be reminded to take precautions in advance, thereby reducing the risk of illness of the served person, thereby improving the service quality of home care services.

[0158] In one embodiment, the health status determination module 706 and the home care information generation module 708 are further used to:

[0159] The disease risk prediction results also include the name of the disease;

[0160] Generate dietary advice information based on the name of the disease, basic information and historical dietary information;

[0161] Push disease warning information and dietary advice information to home care terminals.

[0162] In the above embodiment, when the home care server determines that the disease risk prediction value in the disease risk prediction result is higher than the second risk threshold, it generates dietary recommendation information based on the disease name, basic information and historical dietary information in the disease risk prediction result, and sends the generated disease warning information and dietary recommendation information to the home care terminal to remind the service person to pay attention to dietary adjustments, thereby reducing the risk of illness of the service person, thereby improving the service quality of home care services.

[0163] In one embodiment, Figure 8As shown, a home care information display device is provided, including: a sound data acquisition module 802, a physiological monitoring data acquisition module 804, a physiological monitoring data sending module 806, a home care information receiving module 808, an information type determination module 810 and a home care information display module 812, wherein:

[0164] The sound data collection module 802 is used to collect sound data through the service host or microphone box of the home care terminal;

[0165] A physiological monitoring data acquisition module 804 is used to identify the sound data and obtain physiological monitoring data;

[0166] A physiological monitoring data sending module 806, for sending the physiological monitoring data to a home care server;

[0167] The home care information receiving module 808 is used to receive the home care information fed back by the home care server based on the physiological monitoring data;

[0168] An information type determination module 810 is used to determine the information type of home care information;

[0169] The home care information display module 812 is used to display the home care information according to the information type.

[0170] In the above embodiment, the home care terminal obtains physiological monitoring data by identifying the collected sound data, and sends the physiological monitoring data to the home care server, receives home care information fed back by the home care server based on the physiological monitoring data, and after determining the information type of the home care information, displays the home care information according to the information type, so that the service recipient can receive the home care information generated by the home care server according to the health status of the service recipient, so that the service recipient can know his or her health status in time, thereby improving the service quality of the home care service.

[0171] The specific limitations of the home care information push device and the home care information display device can be referred to the limitations of the home care information push method and the home care information display method mentioned above, which will not be repeated here. Each module in the above-mentioned home care information push device and the home care information display device can be implemented in whole or in part by software, hardware and a combination thereof. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0172] In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as follows: Fig. 9As shown. The computer device includes a processor, a memory and a network interface connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store physiological monitoring data and basic information of the service object. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a method for pushing home care information is implemented.

[0173] In one embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as follows: Fig.10 As shown. The computer device includes a processor, a memory, a communication interface, a display screen and an input device connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, an operator network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, a method for displaying home care information is implemented. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covered on the display screen, or a button, trackball or touchpad set on the computer device housing, or an external keyboard, touchpad or mouse, etc.

[0174] Those skilled in the art will understand that Fig. 9 , 10 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0175] In one embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the computer program is executed by the processor, the processor executes the following steps: obtaining physiological monitoring data of a service recipient sent by a home care terminal, wherein the physiological monitoring data is obtained by the home care terminal identifying collected sound data; obtaining basic information of the service recipient; determining the health status of the service recipient based on the physiological monitoring data and the basic information; generating home care information based on the health status of the service recipient; and pushing the home care information to the home care terminal.

[0176] In one embodiment, when the computer program is executed by the processor to generate home care information based on the health status of the person being served, the processor specifically performs the following steps: if the health status is normal, the home care information is determined based on the basic information of the person being served, and the home care information includes health and wellness information.

[0177] In one embodiment, the computer program is executed by the processor to determine the health status of the service person based on physiological monitoring data and basic information; when generating home care information based on the health status of the service person, the processor specifically performs the following steps: obtaining a recurrence risk prediction result based on the physiological monitoring data and basic information in combination with a recurrence risk prediction model, the recurrence risk prediction result including a recurrence risk prediction value; if the recurrence risk prediction value is higher than a first risk threshold, the health status of the service person is determined to be a recurrence abnormal condition; generating home care information based on the recurrence risk prediction result and the recurrence abnormal condition, the home care information including recurrence warning information.

[0178] In one embodiment, the computer program is executed by the processor to determine the health status of the service person based on physiological monitoring data and basic information; when generating home care information based on the health status of the service person, the processor specifically performs the following steps: obtaining the historical physiological monitoring data and historical dietary information of the service person; obtaining the disease risk prediction result based on the physiological monitoring data, basic information, historical physiological monitoring data and historical dietary information and in combination with the disease risk prediction model, the disease risk prediction result includes the disease risk value; if the disease risk value is higher than the second risk threshold, the health status of the service person is determined to be an abnormal disease condition; generating home care information based on the disease risk prediction result and the abnormal disease condition, the home care information includes disease warning information.

[0179] In one embodiment, when the computer program is executed by the processor to generate home care information based on the disease risk prediction results and abnormal disease conditions, and the home care information includes disease warning information, the processor specifically performs the following steps: the disease risk prediction results also include the name of the disease; dietary recommendation information is generated based on the name of the disease, basic information and historical dietary information; when the computer program is executed by the processor to push the home care information to the home care terminal, the processor specifically performs the following steps: push the disease warning information and dietary recommendation information to the home care terminal.

[0180] In one embodiment, a computer device is also provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the computer program is executed by the processor, the processor executes the following steps: collecting sound data through a service host or a microphone box of a home care terminal; identifying the sound data to obtain physiological monitoring data; sending the physiological monitoring data to a home care server; receiving home care information fed back by the home care server based on the physiological monitoring data; determining the information type of the home care information; and displaying the home care information according to the information type.

[0181] In one embodiment, a computer-readable storage medium is further provided, storing a computer program, and when the computer program is executed by a processor, the processor performs the following steps:

[0182] Acquire the physiological monitoring data of the service recipient sent by the home care terminal, where the physiological monitoring data is obtained by the home care terminal identifying the collected sound data; acquire the basic information of the service recipient; determine the health status of the service recipient based on the physiological monitoring data and the basic information; generate home care information based on the health status of the service recipient; and push the home care information to the home care terminal.

[0183] In one embodiment, when the computer program is executed by the processor to generate home care information based on the health status of the person being served, the processor specifically performs the following steps: if the health status is normal, the home care information is determined based on the basic information of the person being served, and the home care information includes health and wellness information.

[0184] In one embodiment, the computer program is executed by the processor to determine the health status of the service person based on physiological monitoring data and basic information; when generating home care information based on the health status of the service person, the processor specifically performs the following steps: obtaining a recurrence risk prediction result based on the physiological monitoring data and basic information in combination with a recurrence risk prediction model, the recurrence risk prediction result including a recurrence risk prediction value; if the recurrence risk prediction value is higher than a first risk threshold, the health status of the service person is determined to be a recurrence abnormal condition; generating home care information based on the recurrence risk prediction result and the recurrence abnormal condition, the home care information including recurrence warning information.

[0185] In one embodiment, the computer program is executed by the processor to determine the health status of the service person based on physiological monitoring data and basic information; when generating home care information based on the health status of the service person, the processor specifically performs the following steps: obtaining the historical physiological monitoring data and historical dietary information of the service person; obtaining the disease risk prediction result based on the physiological monitoring data, basic information, historical physiological monitoring data and historical dietary information and in combination with the disease risk prediction model, the disease risk prediction result includes the disease risk value; if the disease risk value is higher than the second risk threshold, the health status of the service person is determined to be an abnormal disease condition; generating home care information based on the disease risk prediction result and the abnormal disease condition, the home care information includes disease warning information.

[0186] In one embodiment, when the computer program is executed by the processor to generate home care information based on the disease risk prediction results and abnormal disease conditions, and the home care information includes disease warning information, the processor specifically performs the following steps: the disease risk prediction results also include the name of the disease; dietary recommendation information is generated based on the name of the disease, basic information and historical dietary information; when the computer program is executed by the processor to push the home care information to the home care terminal, the processor specifically performs the following steps: push the disease warning information and dietary recommendation information to the home care terminal.

[0187] In one embodiment, a computer-readable storage medium is also provided, storing a computer program. When the computer program is executed by a processor, the processor executes the following steps: collecting sound data through a service host or a microphone box of a home care terminal; identifying the sound data to obtain physiological monitoring data; sending the physiological monitoring data to a home care server; receiving home care information fed back by the home care server based on the physiological monitoring data; determining the information type of the home care information; and displaying the home care information according to the information type.

[0188] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory or optical memory, etc. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0189] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0190] The above-mentioned embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent of the present application shall be subject to the attached claims.

Claims

1. A method for pushing home care information, applied to a home care server, characterized in that: The method comprises: Acquiring physiological monitoring data of the serviced person sent by the home care terminal, wherein the physiological monitoring data is obtained by the home care terminal identifying the collected sound data; Obtaining basic information of the service recipient; the basic information includes the gender, age, and medical history of the service recipient; When the disease corresponding to the served person is obtained from the disease history according to the physiological items corresponding to the physiological monitoring data, it is determined whether the measured value of the physiological monitoring data is within a first normal range according to the disease, the age and the gender; if it is within the first normal range, it is determined that the health condition of the served person is normal; if it is not within the first normal range, it is determined that the health condition of the served person is abnormal; the first normal range is a normal range corresponding to the case of suffering from the disease; When no disease corresponding to the served person is obtained from the disease history according to the physiological items corresponding to the physiological monitoring data, judging whether the measured value of the physiological monitoring data is within a second normal range according to the age and the gender, and if it is within the second normal range, determining that the health condition of the served person is normal; if it is not within the second normal range, determining that the health condition of the served person is abnormal; the second normal range is a normal range corresponding to the case where the served person does not suffer from the disease; Generate home care information according to the health status of the person being served; Pushing the home care information to the home care terminal; Inputting the physiological monitoring data and the basic information into a corresponding recurrence risk prediction model; the recurrence risk prediction model is constructed based on statistical analysis results, and the statistical analysis results are obtained by statistically analyzing the statistical chronic disease patient information, the patient's physiological monitoring data and the recurrence situation data; Relapse risk prediction is performed using the relapse risk prediction model to obtain a relapse risk prediction result; the relapse risk prediction result includes a disease name and a corresponding relapse risk prediction value; When the recurrence risk prediction value is higher than the first risk threshold corresponding to the disease name, determining that the health condition of the served person is in an abnormal recurrence condition, and determining the corresponding recurrence risk level according to the recurrence risk prediction value; Generate recurrence warning information according to the abnormal recurrence condition, the disease name and the recurrence risk level; The home care information including the recurrence warning information is pushed to the home care terminal.

2. The method according to claim 1, characterized in that The generating of home care information according to the health condition of the served person includes: The health condition is a normal condition, and the home care information includes health and wellness information.

3. The method according to claim 1, characterized in that The method further comprises: Obtaining historical physiological monitoring data and historical dietary information of the served person; Obtaining a disease risk prediction result based on the physiological monitoring data, the basic information, the historical physiological monitoring data, and the historical dietary information in combination with a disease risk prediction model, wherein the disease risk prediction result includes a disease risk value; If the disease risk value is higher than the second risk threshold, it is determined that the health condition of the served person is in an abnormal disease condition; Generating home care information according to the health status of the served person includes: Home care information is generated according to the disease risk prediction result and the abnormal disease condition, and the home care information includes disease warning information.

4. The method according to claim 3, characterized in that The generating of home care information according to the disease risk prediction result and the abnormal disease condition, wherein the home care information includes disease warning information, further includes: The disease risk prediction result also includes the name of the disease; Generate dietary advice information according to the name of the disease, the basic information and the historical dietary information; The step of pushing the home care information to the home care terminal comprises: The disease warning information and the dietary advice information are pushed to the home care terminal.

5. A method for displaying home care information, applied to a home care terminal, characterized in that: The method comprises: Collecting sound data through the service host or microphone box of the home care terminal, identifying the sound data, and obtaining physiological monitoring data; sending the physiological monitoring data to a home care server; Receive home care information fed back by the home care server based on the physiological monitoring data; the home care information is generated by the home care server based on the health status of the served person; the health status is determined by the home care server based on the physiological monitoring data and the basic information of the served person, the basic information includes the gender, age, and medical history of the served person, and the process of determining the health status includes: when the disease corresponding to the served person is obtained from the medical history according to the physiological items corresponding to the physiological monitoring data, judging whether the measured value of the physiological monitoring data is within a first normal range according to the disease, the age, and the gender; if it is within the first normal range, determining that the health status of the served person is normal; if it is not within the first normal range, determining that the health status of the served person is abnormal; the first normal range is the normal range corresponding to the case of suffering from the disease; when the disease corresponding to the served person is not obtained from the medical history according to the physiological items corresponding to the physiological monitoring data, judging whether the measured value of the physiological monitoring data is within a second normal range according to the age and the gender , if it is within the second normal range, it is determined that the health condition of the served person is normal; if it is not within the second normal range, it is determined that the health condition of the served person is abnormal; the second normal range is the normal range corresponding to the case where the disease is not present; or, the home care information includes recurrence warning information, and the recurrence warning information is the home care server inputting the physiological monitoring data and the basic information into the corresponding recurrence risk prediction model; recurrence risk prediction is performed through the recurrence risk prediction model to obtain a recurrence risk prediction result; the recurrence risk prediction result includes the disease name and the corresponding recurrence risk prediction value; when the recurrence risk prediction value is higher than the first risk threshold corresponding to the disease name, it is determined that the health condition of the served person is an abnormal recurrence condition, and the corresponding recurrence risk level is determined according to the recurrence risk prediction value; it is generated according to the abnormal recurrence condition, the disease name and the recurrence risk level; the recurrence risk prediction model is constructed based on the statistical analysis results, and the statistical analysis results are obtained by statistically analyzing the patient information of the statistical chronic disease, the patient's physiological monitoring data and the recurrence situation data; determining the information type of the home care information; The home care information is displayed according to the information type.

6. A home care information push device, characterized in that: The device comprises: A physiological monitoring data receiving module, used to obtain the physiological monitoring data of the serviced person sent by the home care terminal; the physiological monitoring data is obtained by the home care terminal identifying the collected sound data; A basic information acquisition module is used to acquire the basic information of the service recipient; the basic information includes the gender, age, and medical history of the service recipient; a health status determination module, for, when the disease corresponding to the served person is obtained from the disease history according to the physiological items corresponding to the physiological monitoring data, judging whether the measured value of the physiological monitoring data is within a first normal range according to the disease, the age and the gender; if it is within the first normal range, determining that the health status of the served person is normal; if it is not within the first normal range, determining that the health status of the served person is abnormal; the first normal range is a normal range corresponding to the case of suffering from the disease; when the disease corresponding to the served person is not obtained from the disease history according to the physiological items corresponding to the physiological monitoring data, judging whether the measured value of the physiological monitoring data is within a second normal range according to the age and the gender; if it is within the second normal range, determining that the health status of the served person is normal; if it is not within the second normal range, determining that the health status of the served person is abnormal; the second normal range is a normal range corresponding to the case of not suffering from the disease; A home care information generation module, used to generate home care information according to the health status of the service recipient; A home care information sending module, used for pushing the home care information to the home care terminal; The health status determination module is further used to input the physiological monitoring data and the basic information into a corresponding recurrence risk prediction model; the recurrence risk prediction model is constructed based on statistical analysis results, and the statistical analysis results are obtained by statistically analyzing the patient information of statistical chronic diseases, the patient's physiological monitoring data and the recurrence situation data; recurrence risk prediction is performed through the recurrence risk prediction model to obtain a recurrence risk prediction result; the recurrence risk prediction result includes a disease name and a corresponding recurrence risk prediction value; when the recurrence risk prediction value is higher than the first risk threshold corresponding to the disease name, it is determined that the health status of the served person is a recurrence abnormality, and the corresponding recurrence risk level is determined according to the recurrence risk prediction value; The home care information generation module is further used to generate recurrence warning information according to the abnormal recurrence condition, the disease name and the recurrence risk level; The home care information sending module is further used to push the home care information including the recurrence warning information to the home care terminal.

7. The device according to claim 6, characterized in that The health condition is a normal condition, and the home care information includes health and wellness information.

8. A home care information display device, characterized in that: The device comprises: A sound data collection module is used to collect sound data through a service host or a microphone box of a home care terminal; A physiological monitoring data acquisition module, used to identify the sound data to obtain physiological monitoring data; A physiological monitoring data sending module, used for sending the physiological monitoring data to a home care server; A home care information receiving module is used to receive the home care information fed back by the home care server based on the physiological monitoring data; the home care information is generated by the home care server based on the health status of the served person; the health status is determined by the home care server based on the physiological monitoring data and the basic information of the served person, and the basic information includes the gender, age, and medical history of the served person. The process of determining the health status includes: when the disease corresponding to the served person is obtained from the medical history according to the physiological items corresponding to the physiological monitoring data, judging whether the measured value of the physiological monitoring data is within a first normal range according to the disease, the age, and the gender; if it is within the first normal range, determining that the health status of the served person is normal; if it is not within the first normal range, determining that the health status of the served person is abnormal; the first normal range is the normal range corresponding to the case of suffering from the disease; when the disease corresponding to the served person is not obtained from the medical history according to the physiological items corresponding to the physiological monitoring data, judging whether the measured value of the physiological monitoring data is within a first normal range according to the age and the gender a second normal range, if it is within the second normal range, the health condition of the served person is determined to be normal; if it is not within the second normal range, the health condition of the served person is determined to be abnormal; the second normal range is the normal range corresponding to the case where the disease is not suffered; or, the home care information includes recurrence warning information, and the recurrence warning information is the home care server inputting the physiological monitoring data and the basic information into the corresponding recurrence risk prediction model; recurrence risk prediction is performed through the recurrence risk prediction model to obtain a recurrence risk prediction result; the recurrence risk prediction result includes the disease name and the corresponding recurrence risk prediction value; when the recurrence risk prediction value is higher than the first risk threshold corresponding to the disease name, the health condition of the served person is determined to be a recurrence abnormal condition, and the corresponding recurrence risk level is determined according to the recurrence risk prediction value; it is generated according to the recurrence abnormal condition, the disease name and the recurrence risk level; the recurrence risk prediction model is constructed based on the statistical analysis results, and the statistical analysis results are obtained by statistically analyzing the patient information of the statistical chronic disease, the patient's physiological monitoring data and the recurrence situation data; An information type determination module, used to determine the information type of the home care information; The home care information display module is used to display the home care information according to the information type.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 5 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 5 are implemented.

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