CN112289430A - Home care information pushing method and device, computer equipment and storage medium - Google Patents

Home care information pushing method and device, computer equipment and storage medium Download PDF

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Publication number
CN112289430A
CN112289430A CN202011064987.5A CN202011064987A CN112289430A CN 112289430 A CN112289430 A CN 112289430A CN 202011064987 A CN202011064987 A CN 202011064987A CN 112289430 A CN112289430 A CN 112289430A
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home care
information
monitoring data
physiological monitoring
serviced
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廖光朝
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Audio Digital Huiyuan Shanghai Intelligent Technology Co ltd
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Audio Digital Huiyuan Shanghai Intelligent Technology Co ltd
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    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
    • G16H40/67—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/60—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to nutrition control, e.g. diets
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H80/00—ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring

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  • Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Medical Informatics (AREA)
  • Public Health (AREA)
  • Biomedical Technology (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Epidemiology (AREA)
  • Pathology (AREA)
  • Nutrition Science (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Business, Economics & Management (AREA)
  • General Business, Economics & Management (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)
  • Medical Treatment And Welfare Office Work (AREA)

Abstract

The application relates to a method and a device for pushing home care information, computer equipment and a storage medium. The method comprises the following steps: receiving physiological monitoring data of a service object sent by a home care terminal; the physiological monitoring data is obtained by identifying the collected sound data by the home care terminal; acquiring basic information of the service object; determining the health condition of the service object according to the physiological monitoring data and the basic information; generating home care information according to the health condition of the service object; and pushing the home care information to the home care terminal. By adopting the method, the service quality of home care service can be improved.

Description

Home care information pushing method and device, computer equipment and storage medium
Technical Field
The present application relates to the field of home care technologies, and in particular, to a method and an apparatus for pushing home care information, a computer device, and a storage medium.
Background
Home care is a care service that is mainly provided for people (serviced people) who live at home and need to solve difficulties in daily life, with the home as the core. The home care service contents comprise living care, medical service, mental care service and the like, and the main form is that service personnel trained by professionals are used for carrying out the care service for the serviced personnel.
However, in the process of home care service, after the service staff measures the physiological items of the serviced staff to obtain the measurement values, the health condition of the serviced staff cannot be analyzed in time according to the measurement values, and corresponding suggestions are given, so that the service quality of the home care service is reduced.
Disclosure of Invention
In view of the above, it is necessary to provide a home care information pushing method, an apparatus, a computer device, and a storage medium for solving a technical problem that a service quality of a home care service is low.
A home care information pushing method is applied to a home care server and comprises the following steps:
acquiring physiological monitoring data of a served person, which is sent by a home care terminal, wherein the physiological monitoring data is obtained by identifying collected sound data by the home care terminal;
acquiring basic information of the serviced personnel;
determining the health condition of the serviced personnel according to the physiological monitoring data and the basic information;
generating home care information according to the health condition of the serviced personnel;
and pushing the home care information to the home care terminal.
In one embodiment, the generating home care information according to the health condition of the serviced person comprises:
the health condition is a normal condition, and the home care information includes health preserving information.
In one embodiment, the determining the health condition of the serviced person from the physiological monitoring data and the base information; generating home care information according to the health condition of the serviced person, comprising:
acquiring a recurrence risk prediction result according to the physiological monitoring data and the basic information and by combining a recurrence risk prediction model, wherein the recurrence risk prediction result comprises a recurrence risk prediction value;
if the recurrence risk predicted value is higher than a first risk threshold value, judging the health condition of the serviced person as a recurrence abnormal condition;
and generating home care information according to the recurrence risk prediction result and the recurrence abnormal condition, wherein the home care information comprises recurrence early warning information.
In one embodiment, the determining the health condition of the serviced person from the physiological monitoring data and the base information; generating home care information according to the health condition of the serviced person, comprising:
acquiring historical physiological monitoring data and historical diet information of the serviced personnel;
acquiring a disease risk prediction result according to the physiological monitoring data, the basic information, the historical physiological monitoring data and the historical diet information and by combining a disease risk prediction model, wherein the disease risk prediction result comprises a disease risk value;
if the illness risk value is higher than a second risk threshold value, the health condition of the serviced person is judged to be an illness abnormal condition;
and generating home care information according to the disease risk prediction result and the disease abnormal condition, wherein the home care information comprises disease early warning information.
In one embodiment, the generating home care information according to the disease risk prediction result and the disease abnormal condition, the home care information including disease early warning information, further includes:
the disease risk prediction result also comprises a disease name;
generating diet suggestion information according to the names of the diseased diseases, the basic information and the historical diet information;
the pushing of the home care information to the home care terminal includes:
and pushing the sick early warning information and the diet suggestion information to the home care terminal.
A home care information display method is applied to a home care terminal, and comprises the following steps:
collecting sound data through a service host or a microphone box of the home care terminal, and identifying the sound data to obtain physiological monitoring data;
sending the physiological monitoring data to the home care server;
receiving home care information fed back by the home care server based on the physiological monitoring data;
determining an information type of the home care information;
and displaying the home care information according to the information type.
A home care information push device, the device comprising:
the physiological monitoring data receiving module is used for acquiring the physiological monitoring data of the served personnel, which is sent by the home care terminal; the physiological monitoring data is obtained by identifying the collected sound data by the home care terminal;
the basic information acquisition module is used for acquiring basic information of the serviced personnel;
the health condition determining module is used for determining the health condition of the serviced personnel according to the physiological monitoring data and the basic information;
the home care information generation module is used for generating home care information according to the health condition of the serviced personnel;
and the home care information sending module is used for pushing the home care information to the home care terminal.
In one embodiment, the health condition is a normal condition, and the home care information includes health preserving information.
In one embodiment, the health determination module and the home care information generation module are further to:
acquiring a recurrence risk prediction result according to the physiological monitoring data and the basic information and by combining a recurrence risk prediction model, wherein the recurrence risk prediction result comprises a recurrence risk prediction value;
if the recurrence risk predicted value is higher than a first risk threshold value, judging the health condition of the serviced person as a recurrence abnormal condition;
and generating home care information according to the recurrence risk prediction result and the recurrence abnormal condition, wherein the home care information comprises recurrence early warning information.
In one embodiment, the health determination module and the home care information generation module are further to:
acquiring historical physiological monitoring data and historical diet information of the serviced personnel;
acquiring a disease risk prediction result according to the physiological monitoring data, the basic information, the historical physiological monitoring data and the historical diet information and by combining a disease risk prediction model, wherein the disease risk prediction result comprises a disease risk value;
if the illness risk value is higher than a second risk threshold value, the health condition of the serviced person is judged to be an illness abnormal condition;
and generating home care information according to the disease risk prediction result and the disease abnormal condition, wherein the home care information comprises disease early warning information.
In one embodiment, the health determination module and the home care information generation module are further to:
the disease risk prediction result also comprises a disease name;
generating diet suggestion information according to the names of the diseased diseases, the basic information and the historical diet information;
and pushing the sick early warning information and the diet suggestion information to the home care terminal.
A home care information display apparatus, the apparatus comprising:
the voice data acquisition module is used for acquiring voice data through a service host or a microphone box of the home care terminal;
the physiological monitoring data acquisition module is used for identifying the sound data to obtain physiological monitoring data;
the physiological monitoring data sending module is used for sending the physiological monitoring data to the home nursing server;
the home care information receiving module is used for receiving home care information fed back by the home care server based on the physiological monitoring data;
the information type determining module is used for determining the information type of the home care information;
and the home care information display module is used for displaying the home care information according to the information type.
A computer device comprising a memory storing a computer program and a processor implementing the steps of any of the methods described above when the processor executes the computer program.
A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method of any of the above.
The household nursing information pushing method, the household nursing information pushing device, the computer equipment and the storage medium are characterized in that physiological monitoring data of a served person sent by a household nursing terminal are acquired, the physiological monitoring data are acquired by identifying collected sound data by the household nursing terminal, basic information of the served person is acquired, health conditions of the served person are determined according to the physiological monitoring data and the basic information, household nursing information is generated according to the health conditions of the served person, the household nursing information is pushed to the household nursing terminal, the household nursing terminal can display the household nursing information, the served person can timely know the health conditions of the served person, and service quality of household nursing service is improved.
Drawings
FIG. 1 is a diagram of an application environment of a method for pushing home care information according to an embodiment;
FIG. 2 is a flowchart illustrating a method for pushing home care information according to an embodiment;
FIG. 3 is a schematic flow chart of the health determination step in one embodiment;
FIG. 4 is a schematic flow chart of the health condition determining step in another embodiment;
FIG. 5 is a schematic flow chart diagram illustrating a method for displaying home care information in one embodiment;
fig. 6 is a schematic flow chart of a home care information pushing method in another embodiment;
FIG. 7 is a block diagram showing a configuration of a home care information delivery apparatus according to an embodiment;
FIG. 8 is a block diagram showing the construction of a home care information presentation apparatus according to an embodiment;
FIG. 9 is a diagram showing an internal structure of a computer device in one embodiment;
FIG. 10 is a diagram showing an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The method for pushing the home care information can be applied to the application environment shown in fig. 1. Wherein the home care terminal 102 communicates with the home care server 104 through a network. The home care terminal 102 includes a service host 102a and a microphone box 102b, and when the service person performs the home care service corresponding to the service order, the service person can wear the microphone box 102b on his/her own body, and the service host 102a is placed beside the serviced person. When the microphone box 102b is opened, the microphone box 102b and the service host 102a may be connected via a network. The microphone arrays are arranged on the microphone box 102b and the service host 102a, and the microphone arrays can be used by the microphone box 102b and the service host 102a to collect voice generated in the process of executing the home care service. After the measurement value of a certain physiological item of the serviced person is measured, the serviced person can read out the measured physiological item and the corresponding measurement value aloud, and the microphone box 102b and the service host 102a can collect sound data about the physiological item and the corresponding measurement value. The service host 102a may 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 home care information pushing method executed in the home care server 104 as an example, the home care server 104 obtains the physiological monitoring data of the serviced person sent by the home care terminal 102, and the physiological monitoring data is obtained by identifying the collected sound data by the home care terminal; acquiring basic information of a served person; determining the health condition of the serviced personnel according to the physiological monitoring data and the basic information; generating home care information according to the health condition of the serviced personnel; and pushing the home care information to a home care terminal. The home care terminal 102 may be, but is not limited to, various portable devices, and the home care server 104 may be implemented by a separate server or a server cluster composed of a plurality of servers.
In one embodiment, as shown in fig. 2, a method for pushing home care information is provided, which is described by taking the method as an example applied to the home care server in fig. 1, and includes the following steps:
s202, physiological monitoring data of the served person sent by the home care terminal is obtained.
The physiological monitoring data is obtained by identifying the collected sound data by the home care terminal.
In one embodiment, in the process of performing home care service on a served person, the service person may measure a measurement value of a certain physiological item of the served person, and read out the measured physiological item and a corresponding measurement value aloud, the home care terminal service host or the mike box may collect sound data corresponding to the physiological item and the corresponding measurement value, identify the sound data, 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.
And S204, acquiring basic information of the serviced personnel.
The basic information of the serviced person is information of the serviced person, which is required to be collected by a home care service provider before a service plan is made for the serviced person, and comprises information of the serviced person, such as sex, age, disease history and allergy history.
In one embodiment, when the home care serviced person or the family member of the serviced person purchases the home care service for the serviced person, the home care service provider provides basic information of the serviced person to the home care service provider, and the home care service provider can make a corresponding service plan for the serviced person according to the basic information of the serviced person and also store the basic information of the serviced person, so that when the home care service is performed for the serviced person, the health condition of the serviced person is determined according to the measured physiological monitoring data and the basic information of the serviced person.
And S206, determining the health condition of the serviced person according to the physiological monitoring data and the basic information.
In one embodiment, after obtaining the physiological monitoring data and the basic information of the serviced person, the home care server obtains a disease corresponding to the serviced person from the disease history of the basic information according to the physiological item corresponding to the physiological monitoring data, and judges whether the measured value of the physiological monitoring data is in a first normal range according to the disease, the age of the serviced person and the sex of the serviced person, and when the measured value is in the first normal range, the health condition of the serviced person is determined to be a normal condition; when the health condition of the person to be served is not in the first normal range, the health condition of the person to be served is determined to be an abnormal condition. Wherein, the first normal range is the normal range corresponding to the diseased condition.
In one embodiment, if the home care server does not acquire the disease corresponding to the serviced person from the disease history of the basic information according to the physiological item corresponding to the physiological monitoring data, the home care server directly judges whether the physiological monitoring data is in a second normal range according to the sex and age of the serviced person, and when the physiological monitoring data is in the second normal range, the home care server determines that the health condition of the serviced person is a normal condition; and when the health condition of the person to be served is not in the second normal range, determining the health condition of the person to be served as an abnormal condition. Wherein, the second normal range is the normal range corresponding to the non-diseased condition.
And S208, generating home care information according to the health condition of the person to be served.
S210, pushing the home care information to a home care terminal.
The home care information is information about home care provided by home care serviced personnel and comprises health preserving information and health early warning information, and the health early warning information is used for reminding the home care serviced personnel of abnormal health conditions so as to seek medical advice in time; the type of the home care information may be at least one of text, sound, and video.
In one embodiment, if the home care server determines that the health condition of the serviced person is an abnormal condition according to the physiological monitoring data and the basic information, corresponding health early warning information is generated according to the determined abnormal condition, and the health early warning information is sent to the home care terminal, so that the home care terminal can display the health early warning information to remind the serviced person of abnormal health condition.
In one embodiment, after the home care server generates the corresponding health early warning information according to the determined abnormal condition, the health early warning information can be sent to the terminal corresponding to the family member of the serviced person, so that the family member of the serviced person can know that the health condition of the serviced person is the abnormal condition, and then the serviced person can be timely sent to a doctor.
In one embodiment, if the home care server determines that the health condition of the serviced person is a normal condition according to the physiological monitoring data and the basic information, the home care server acquires related health information according to the basic information of the serviced person and sends the health information to the home care terminal, and the home care terminal displays the health information after receiving the health information, so that the serviced person acquires the health information, develops a more scientific living habit and improves the health condition of the serviced person.
In the above embodiment, the health monitoring data of the person being serviced that the house nursing server sent through receiving the house nursing terminal, the health monitoring data is that the house nursing terminal discerns the sound data who gathers and obtains, and acquire the basic information by the person being serviced, then confirm the health status by the person being serviced according to health monitoring data and basic information, generate the house nursing information according to the health status by the person being serviced, and with the propelling movement of house nursing information to the house nursing terminal, make the house nursing terminal can demonstrate this house nursing information, make the health status that can in time learn oneself by the person being serviced, thereby the quality of service of the house nursing service has been improved.
In one embodiment, as shown in fig. 2, S206 specifically includes the following steps:
s302, obtaining a recurrence risk prediction result by combining the physiological monitoring data and the basic information with a recurrence risk prediction model, wherein the recurrence risk prediction result comprises a recurrence risk prediction value.
The recurrence risk prediction model is used for predicting the recurrence probability of a certain chronic disease suffered by a service person, and can be constructed according to analysis results by performing statistical analysis on a home care server based on a large amount of statistical patient information of the certain chronic disease, physiological monitoring data of the patient, recurrence conditions and other data.
In one embodiment, after acquiring physiological monitoring data and basic information of a served person, the home care server acquires a corresponding recurrence risk prediction model according to the physiological monitoring data and the basic information, and inputs the physiological monitoring data and the basic information into the determined recurrence risk prediction model to perform recurrence risk prediction, so as to obtain a recurrence risk prediction result, wherein the recurrence risk prediction result includes a disease name and a corresponding recurrence risk prediction value (recurrence probability).
S304, if the recurrence risk predicted value is higher than the first risk threshold value, the health condition of the serviced person is judged to be a recurrence abnormal condition.
In one embodiment, after predicting the recurrence risk of a certain disease suffered by a service person through a recurrence risk prediction model by a home care server to obtain a recurrence risk prediction result, judging whether a recurrence risk prediction value in the recurrence risk prediction result is higher than a first risk threshold, if so, determining that the health condition of the service person is a recurrence abnormal condition, namely the recurrence risk of the service person is higher. Wherein, the first risk threshold is a risk threshold corresponding to the disease name in the recurrence risk prediction result.
And S306, generating home care information according to the recurrence risk prediction result and the recurrence abnormal condition, wherein the home care information comprises recurrence early warning information.
In one embodiment, when the home care server determines that the health condition of the serviced person is a recurrence abnormal condition according to the disease risk prediction result, the home care server determines a corresponding recurrence risk level according to a recurrence risk prediction value in the recurrence risk prediction result, and generates recurrence early warning information according to the recurrence abnormal condition, the disease name and the recurrence risk level, so that the recurrence early warning information is sent to the serviced person or a family member of the serviced person to remind the serviced person or the family member of the serviced person to prevent in advance, and the serviced person can timely seek medical advice.
In the above embodiment, the home care server performs recurrence risk prediction according to the physiological monitoring data and the basic information and in combination with the recurrence risk prediction model to obtain a recurrence risk prediction result including a recurrence risk prediction value, and determines that the health condition of the serviced person is a recurrence abnormal condition when the recurrence risk prediction value is higher than a first risk threshold value, and generates home care information according to the recurrence abnormal condition and the recurrence risk prediction result, where the home care information includes recurrence early warning information, so that the home care server can remind the serviced person or the family of the serviced person to prevent in advance by sending the recurrence early warning information to the serviced person or the family of the serviced person, so that the serviced person can timely seek medical attention, and thus the service quality of the home care service is improved.
In one embodiment, as shown in fig. 4, S206 specifically includes the following steps:
s402, obtaining historical physiological monitoring data and historical diet information of the served person.
The historical physiological monitoring data is the physiological monitoring data sent by the home care terminal when home care service is provided for home care served personnel every time in a historical period. The historical diet information can be diet information reported by the home care subjects through the home care terminal in a historical period.
In one embodiment, the home care server stores the physiological monitoring data and the diet information reported by the home care terminal each time, so that the home care server stores the historical physiological monitoring data and the historical diet information of the served personnel, after the home care server receives the physiological monitoring data of the served person sent by the current home care terminal, if the home care server does not acquire the diseases corresponding to the serviced personnel from the disease history of the basic information according to the physiological items corresponding to the physiological monitoring data, then directly judging whether the physiological monitoring data is in the second normal range according to the sex and age of the person to be served, the stored historical physiological monitoring data and historical dietary information of the serviced person are obtained to predict the serviced person's risk of other diseases.
S404, disease risk prediction is carried out according to the physiological monitoring data, the historical diet information and the basic information and by combining the disease risk prediction model to obtain a disease risk prediction result, and the disease risk prediction result comprises a disease risk value.
The illness risk prediction model is constructed by a home care server based on a large amount of statistical data of patient information of common diseases of people to which the serviced personnel belong, diet information of the patients before illness, physiological monitoring data of the patients, recurrence conditions and the like. The people to which the served person belongs may be people classified according to the age of the served person, diseases and the like that the served person has suffered from, such as aged people, hypertensive people, hyperglycemic people and the like.
In one embodiment, after obtaining the historical physiological monitoring data and the historical diet information of the served person, the home care server inputs the historical physiological monitoring data, the historical diet information, the physiological monitoring data and the basic information of the served person into the disease risk prediction model to perform disease risk prediction, so as to obtain a disease risk prediction result, wherein the disease risk prediction result comprises a disease name and a corresponding disease risk prediction value (disease probability).
And S406, if the disease risk value is higher than the second risk threshold value, the health condition of the serviced person is judged to be an abnormal disease condition.
In one embodiment, after the home care server predicts the risk of the serviced person with respect to a certain disease through the risk prediction model to obtain a risk prediction result, it is determined whether a risk prediction value in the risk prediction result is higher than a second risk threshold, and if so, it is determined that the health condition of the serviced person is an abnormal condition, that is, the risk of the serviced person with respect to a certain disease is higher. And the second risk threshold is a risk threshold corresponding to the name of the diseased disease in the disease risk prediction result.
And S408, generating home care information according to the disease risk prediction result and the disease abnormal condition, wherein the home care information comprises disease early warning information.
In one embodiment, when the home care server determines that the health condition of the serviced person is an abnormal disease condition according to the disease risk prediction result, the home care server determines a corresponding disease risk level according to the disease risk prediction value in the disease risk prediction result, and generates disease early warning information according to the abnormal disease condition, the disease name and the disease risk level, so that the disease early warning information is sent to the serviced person or a family member of the serviced person to remind the serviced person or the family member of the serviced person to prevent in advance, and further the risk of the serviced person being ill is reduced.
In the above embodiment, the home care server obtains the historical physiological monitoring data and the historical diet information of the served person, acquiring a disease risk prediction result comprising a disease risk value according to the physiological monitoring data, the historical diet information and the basic information and by combining a disease risk prediction model, judging the health condition of the serviced personnel as an abnormal disease condition when the disease risk value is higher than a second risk threshold value, generating home care information according to the disease risk prediction result and the disease abnormal condition, wherein the home care information comprises disease early warning information, therefore, the sick early warning information is sent to the serviced personnel or the family members of the serviced personnel, the serviced personnel or the family members of the serviced personnel can be reminded of preventing in advance, and further, the risk of suffering from diseases of the service personnel is reduced, so that the service quality of home care service is improved.
In one embodiment, after the home care server predicts the risk of the served person about a certain disease through the risk prediction model to obtain a risk prediction result, when the risk prediction value in the risk prediction result is higher than a second risk threshold, diet suggestion information is generated according to the disease name, basic information and historical diet information in the risk prediction result, and the generated disease early warning information and diet suggestion information are sent to the home care terminal, so that the served person is reminded to pay attention to diet adjustment, and the risk of the served person being ill is reduced.
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, the home care server generates diet suggestion information according to the disease name, the basic information, and the historical diet information in the disease risk prediction result, and sends the generated disease early warning information and the diet suggestion information to the home care terminal to remind the serviced person to pay attention to diet adjustment, so as to reduce the risk of the serviced person being ill, thereby improving the service quality of the home care service.
In an embodiment, as shown in fig. 5, there is further provided a home care information presentation method, which is described by taking the application of the method to the home care terminal in fig. 1 as an example, and includes the following steps:
and S502, collecting sound data through a service host or a microphone box of the home care terminal.
In one embodiment, the service person wears the microphone box of the home care terminal on the body of the service person, the service host of the home care terminal is placed beside the served person, the microphone box is in an open state, communication connection is established between the microphone box and the service host, and microphone arrays are arranged on the microphone box and the service host. After the countdown of the service host is started, the service personnel starts to carry out the home care service corresponding to the service order of the serviced personnel, in the process of carrying out the home care service, the service personnel and the serviced personnel can both speak, and at the moment, sound data generated when the service personnel and the serviced personnel speak can be collected through a microphone box of a home care terminal or the service host.
In one embodiment, during the process of performing home care service on the serviced person, the service person may measure a measurement value of a certain physiological item of the serviced person, and read out the measured physiological item and a corresponding measurement value aloud, and the home care terminal service host or the microphone box may collect sound data corresponding to the physiological item and the corresponding measurement value.
And S504, identifying the sound data to obtain physiological monitoring data.
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 service host identifies the sound data through the voice recognition model to obtain the physiological monitoring data. Wherein the voice recognition model is a trained voice recognition model of the home care server, the home care server sends the trained voice recognition model to the service host of the home care terminal after the voice recognition model is trained, so that the service host of the home care terminal can recognize the collected voice data, the voice recognition model is a model for converting the input voice data into language characters, the method can be a speech recognition model based on algorithms such as dynamic time warping, hidden markov models, artificial neural networks and the like, and particularly can be a keyword recognition model based on a Kaldi framework (Kaldi is an open source speech recognition toolkit), which mainly comprises an acoustic model and a language model, wherein the acoustic model is used for calculating the probability of a certain acoustic symbol from an input sound signal, namely converting the sound into a representation of the acoustic symbol and outputting the representation. A phoneme is an acoustic symbol, which is the most basic unit of each language, with clear definition and a limited number, and a phrase is composed of successive pronunciations of multiple phonemes. The language model estimates the probability of a word sequence by learning the feature relationships between words from a training speech set.
In one embodiment, the home care service host identifies the sound data to obtain an identification result, and determines a unit of the corresponding measured value according to the physiological item in the identification result, so as to obtain the physiological monitoring data according to the identification result and the unit of the measured value. The physiological items can be body temperature, pulse, blood sugar, and blood pressure, and the corresponding measured values can be body temperature value, pulse frequency, blood sugar value, and blood pressure value. For example, if the physiological item measured by the service person is blood glucose and the measured value is 5.6 mmol/l, the service person reads out "blood glucose level is 5.6" after measuring the blood glucose level of the service person, the service host or the microphone box of the home care terminal collects the voice data corresponding to "blood glucose level is 5.6", the service host identifies the voice data to obtain an identification result "blood glucose level is 5.6", and determines that the corresponding unit is "mmol/l" according to "blood glucose", so as to obtain corresponding physiological monitoring data "blood glucose level is 5.6 mmol/l", and transmits the physiological monitoring data to the home care server.
And S506, transmitting the physiological monitoring data to a home care server.
And S508, receiving home care information fed back by the home care server based on the physiological monitoring data.
In one embodiment, the home care terminal identifies collected voice data to obtain physiological monitoring data, and then sends the physiological monitoring data to the home care server, the home care server obtains basic information of a served person after receiving the physiological monitoring data of the served person, and determines the health condition of the served person according to the physiological monitoring data and the basic information of the served person, and when the home care server determines that the health condition of the served person is abnormal, corresponding home care information is generated according to the abnormal condition of the served person, and the home care information is sent to the home care terminal.
And S510, determining the information type of the home care information.
And S512, displaying the home care information according to the information type.
Wherein, the information type of the home care information can be at least one of characters, voice and video.
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 voice, the home care terminal may play the home care information through a service host or a microphone box of the home care terminal.
In the above embodiment, the home care terminal is through discerning the sound data of gathering, obtain physiology monitoring data, and send physiology monitoring data to the home care server, receive the home care information that the home care server is based on physiology monitoring data feedback, and after the information type of confirming the home care information, demonstrate the home care information according to the information type, make by the service staff can accept the home care information that the home care server generated according to the health status of the service staff, make by the service staff can in time learn own health status, thereby the quality of service of home care service has been improved.
In an embodiment, as shown in fig. 6, there is further provided a method for pushing home care information, which is described by taking the method as an example applied to the home care terminal in fig. 1, and includes the following steps:
and S602, acquiring the physiological monitoring data of the served person sent by the home care terminal.
S604, acquiring basic information of the served personnel.
And S606, determining the health condition of the serviced person according to the physiological monitoring data and the basic information.
And S608, if the health condition is normal, determining health maintenance information according to the basic information of the serviced personnel.
S610, health preserving information is pushed to the home nursing terminal.
And S612, if the health condition is an abnormal condition, generating health early warning information according to the abnormal condition.
And S614, pushing the health early warning information to a home care terminal.
It should be understood that although the various steps in the flow charts of fig. 2-6 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 2-6 may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed in turn or alternately with other steps or at least some of the other steps.
In one embodiment, as shown in fig. 7, there is provided a home care information pushing apparatus including: a physiological monitoring data receiving module 702, a basic information acquiring module 704, a health status determining module 706, a home care information generating module 708, and a home care information transmitting module 710, wherein:
a physiological monitoring data receiving module 702, configured to obtain physiological monitoring data of a served person sent by a home care terminal; the physiological monitoring data is obtained by identifying the collected sound data by the home care terminal;
a basic information obtaining module 704, configured to obtain basic information of a served person;
a health condition determination module 706 for determining the health condition of the serviced person according to the physiological monitoring data and the basic information;
a home care information generation module 708, configured to generate home care information according to the health condition of the serviced person;
the home care information sending module 710 is configured to push home care information to a home care terminal.
In one embodiment, the health condition is a normal condition and the home care information includes health preserving information.
In the above embodiment, the health monitoring data of the person being serviced that the house nursing server sent through receiving the house nursing terminal, the health monitoring data is that the house nursing terminal discerns the sound data who gathers and obtains, and acquire the basic information by the person being serviced, then confirm the health status by the person being serviced according to health monitoring data and basic information, generate the house nursing information according to the health status by the person being serviced, and with the propelling movement of house nursing information to the house nursing terminal, make the house nursing terminal can demonstrate this house nursing information, make the health status that can in time learn oneself by the person being serviced, thereby the quality of service of the house nursing service has been improved.
In one embodiment, the health determination module 706 and the home care information 708 generation module are further to:
acquiring a recurrence risk prediction result according to the physiological monitoring data and the basic information and by combining a recurrence risk prediction model, wherein the recurrence risk prediction result comprises a recurrence risk prediction value;
if the recurrence risk predicted value is higher than the first risk threshold value, judging the health condition of the serviced personnel as a recurrence abnormal condition;
and generating home care information according to the recurrence risk prediction result and the recurrence abnormal condition, wherein the home care information comprises recurrence early warning information.
In the above embodiment, the home care server performs recurrence risk prediction according to the physiological monitoring data and the basic information and in combination with the recurrence risk prediction model to obtain a recurrence risk prediction result including a recurrence risk prediction value, and determines that the health condition of the serviced person is a recurrence abnormal condition when the recurrence risk prediction value is higher than a first risk threshold value, and generates home care information according to the recurrence abnormal condition and the recurrence risk prediction result, where the home care information includes recurrence early warning information, so that the home care server can remind the serviced person or the family of the serviced person to prevent in advance by sending the recurrence early warning information to the serviced person or the family of the serviced person, so that the serviced person can timely seek medical attention, and thus the service quality of the home care service is improved.
In one embodiment, the health determination module 706 and the home care information 708 generation module are further to:
acquiring historical physiological monitoring data and historical diet information of a served person;
acquiring a disease risk prediction result according to the physiological monitoring data, the basic information, the historical physiological monitoring data and the historical diet information and by combining a disease risk prediction model, wherein the disease risk prediction result comprises a disease risk value;
if the illness risk value is higher than the second risk threshold value, the health condition of the serviced person is judged to be an illness abnormal condition;
and generating home care information according to the disease risk prediction result and the disease abnormal condition, wherein the home care information comprises disease early warning information.
In the above embodiment, the home care server obtains the historical physiological monitoring data and the historical diet information of the served person, acquiring a disease risk prediction result comprising a disease risk value according to the physiological monitoring data, the historical diet information and the basic information and by combining a disease risk prediction model, judging the health condition of the serviced personnel as an abnormal disease condition when the disease risk value is higher than a second risk threshold value, generating home care information according to the disease risk prediction result and the disease abnormal condition, wherein the home care information comprises disease early warning information, therefore, the sick early warning information is sent to the serviced personnel or the family members of the serviced personnel, the serviced personnel or the family members of the serviced personnel can be reminded of preventing in advance, and further, the risk of suffering from diseases of the service personnel is reduced, so that the service quality of home care service is improved.
In one embodiment, the health determination module 706 and the home care information 708 generation module are further to:
the disease risk prediction result also comprises the name of the disease;
generating diet suggestion information according to the names of the diseased diseases, the basic information and the historical diet information;
and pushing the sick early warning information and the diet suggestion information to a home nursing terminal.
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, the home care server generates diet suggestion information according to the disease name, the basic information, and the historical diet information in the disease risk prediction result, and sends the generated disease early warning information and the diet suggestion information to the home care terminal to remind the serviced person to pay attention to diet adjustment, so as to reduce the risk of the serviced person being ill, thereby improving the service quality of the home care service.
In one embodiment, as shown in fig. 8, there is provided a home care information presentation apparatus including: the system comprises 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:
the voice data acquisition module 802 is used for acquiring voice data through a service host or a microphone box of the home care terminal;
a physiological monitoring data obtaining module 804, configured to identify the sound data to obtain physiological monitoring data;
a physiological monitoring data sending module 806, configured to send the physiological monitoring data to a home care server;
a home care information receiving module 808, configured to receive home care information fed back by the home care server based on the physiological monitoring data;
an information type determination module 810 for determining an information type of the home care information;
and a home care information display module 812 for displaying the home care information according to the information type.
In the above embodiment, the home care terminal is through discerning the sound data of gathering, obtain physiology monitoring data, and send physiology monitoring data to the home care server, receive the home care information that the home care server is based on physiology monitoring data feedback, and after the information type of confirming the home care information, demonstrate the home care information according to the information type, make by the service staff can accept the home care information that the home care server generated according to the health status of the service staff, make by the service staff can in time learn own health status, thereby the quality of service of home care service has been improved.
Specific limitations on the home care information pushing device and the home care information display device can be referred to the above limitations on the home care information pushing method and the home care information display method, respectively, and are not described herein again. The modules in the household care information pushing device and the household care information display device can be wholly or partially realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as shown in fig. 9. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile 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 an operating system and computer programs in the non-volatile storage medium. The database of the computer device is used for storing physiological monitoring data and basic information of a service object. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a home care information push method.
In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as shown in fig. 10. The computer device includes a processor, a memory, a communication interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile 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 an operating system and computer programs in the non-volatile storage medium. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless communication can be realized through WIFI, an operator network, NFC (near field communication) or other technologies. The computer program is executed by a processor to implement a method of home care information presentation. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.
Those skilled in the art will appreciate that the configurations shown in fig. 9 and 10 are merely block diagrams of some configurations relevant to the present disclosure, and do not constitute a limitation on the computing devices to which the present disclosure may be applied, and that a particular computing device may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having stored therein a computer program that, when executed by the processor, causes the processor to perform the steps of: acquiring physiological monitoring data of a served person, which is sent by a home care terminal, wherein the physiological monitoring data is obtained by identifying collected sound data by the home care terminal; acquiring basic information of a served person; determining the health condition of the serviced personnel according to the physiological monitoring data and the basic information; generating home care information according to the health condition of the serviced personnel; and pushing the home care information to a home care terminal.
In one embodiment, the computer program, when executed by the processor, causes the processor to specifically perform the steps of: and if the health condition is normal, determining home care information according to the basic information of the serviced personnel, wherein the home care information comprises health preserving information.
In one embodiment, the computer program is executed by the processor to determine a health condition of the serviced person based on the physiological monitoring data and the underlying information; when the step of generating the home care information according to the health condition of the serviced person is performed, the processor is specifically caused to perform the following steps: acquiring a recurrence risk prediction result according to the physiological monitoring data and the basic information and by combining a recurrence risk prediction model, wherein the recurrence risk prediction result comprises a recurrence risk prediction value; if the recurrence risk predicted value is higher than the first risk threshold value, judging the health condition of the serviced personnel as a recurrence abnormal condition; and generating home care information according to the recurrence risk prediction result and the recurrence abnormal condition, wherein the home care information comprises recurrence early warning information.
In one embodiment, the computer program is executed by the processor to determine a health condition of the serviced person based on the physiological monitoring data and the underlying information; when the step of generating the home care information according to the health condition of the serviced person is performed, the processor is specifically caused to perform the following steps: acquiring historical physiological monitoring data and historical diet information of a served person; acquiring a disease risk prediction result according to the physiological monitoring data, the basic information, the historical physiological monitoring data and the historical diet information and by combining a disease risk prediction model, wherein the disease risk prediction result comprises a disease risk value; if the illness risk value is higher than the second risk threshold value, the health condition of the serviced person is judged to be an illness abnormal condition; and generating home care information according to the disease risk prediction result and the disease abnormal condition, wherein the home care information comprises disease early warning information.
In one embodiment, the computer program is configured to, when the processor executes the step of generating home care information according to the disease risk prediction result and the disease abnormal condition, and the home care information includes the disease early warning information, cause the processor to specifically execute the following steps: the disease risk prediction result also comprises the name of the disease; generating diet suggestion information according to the names of the diseased diseases, the basic information and the historical diet information; when the computer program is executed by the processor to push the home care information to the home care terminal, the processor is specifically caused to execute the following steps: and pushing the sick early warning information and the diet suggestion information to a home nursing terminal.
In one embodiment, there is also provided a computer device comprising a memory and a processor, the memory having stored therein a computer program that, when executed by the processor, causes the processor to perform the steps of: collecting sound data through a service host or a microphone box of a home care terminal; recognizing 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 a home care server based on physiological monitoring data; determining the information type of the home care information; and displaying the home care information according to the information type.
In one embodiment, there is also provided a computer readable storage medium storing a computer program which, when executed by a processor, causes the processor to perform the steps of:
acquiring physiological monitoring data of a served person, which is sent by a home care terminal, wherein the physiological monitoring data is obtained by identifying collected sound data by the home care terminal; acquiring basic information of a served person; determining the health condition of the serviced personnel according to the physiological monitoring data and the basic information; generating home care information according to the health condition of the serviced personnel; and pushing the home care information to a home care terminal.
In one embodiment, the computer program, when executed by the processor, causes the processor to specifically perform the steps of: and if the health condition is normal, determining home care information according to the basic information of the serviced personnel, wherein the home care information comprises health preserving information.
In one embodiment, the computer program is executed by the processor to determine a health condition of the serviced person based on the physiological monitoring data and the underlying information; when the step of generating the home care information according to the health condition of the serviced person is performed, the processor is specifically caused to perform the following steps: acquiring a recurrence risk prediction result according to the physiological monitoring data and the basic information and by combining a recurrence risk prediction model, wherein the recurrence risk prediction result comprises a recurrence risk prediction value; if the recurrence risk predicted value is higher than the first risk threshold value, judging the health condition of the serviced personnel as a recurrence abnormal condition; and generating home care information according to the recurrence risk prediction result and the recurrence abnormal condition, wherein the home care information comprises recurrence early warning information.
In one embodiment, the computer program is executed by the processor to determine a health condition of the serviced person based on the physiological monitoring data and the underlying information; when the step of generating the home care information according to the health condition of the serviced person is performed, the processor is specifically caused to perform the following steps: acquiring historical physiological monitoring data and historical diet information of a served person; acquiring a disease risk prediction result according to the physiological monitoring data, the basic information, the historical physiological monitoring data and the historical diet information and by combining a disease risk prediction model, wherein the disease risk prediction result comprises a disease risk value; if the illness risk value is higher than the second risk threshold value, the health condition of the serviced person is judged to be an illness abnormal condition; and generating home care information according to the disease risk prediction result and the disease abnormal condition, wherein the home care information comprises disease early warning information.
In one embodiment, the computer program is configured to, when the processor executes the step of generating home care information according to the disease risk prediction result and the disease abnormal condition, and the home care information includes the disease early warning information, cause the processor to specifically execute the following steps: the disease risk prediction result also comprises the name of the disease; generating diet suggestion information according to the names of the diseased diseases, the basic information and the historical diet information; when the computer program is executed by the processor to push the home care information to the home care terminal, the processor is specifically caused to execute the following steps: and pushing the sick early warning information and the diet suggestion information to a home nursing terminal.
In one embodiment, there is also provided a computer readable storage medium storing a computer program which, when executed by a processor, causes the processor to perform the steps of: collecting sound data through a service host or a microphone box of a home care terminal; recognizing 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 a home care server based on physiological monitoring data; determining the information type of the home care information; and displaying the home care information according to the information type.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database or other medium used in the embodiments provided herein can include at least one of non-volatile and volatile memory. Non-volatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical storage, or the like. Volatile Memory can include Random Access Memory (RAM) or external cache Memory. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims (10)

1. A home care information pushing method is applied to a home care server and is characterized by comprising the following steps:
acquiring physiological monitoring data of a served person, which is sent by a home care terminal, wherein the physiological monitoring data is obtained by identifying collected sound data by the home care terminal;
acquiring basic information of the serviced personnel;
determining the health condition of the serviced personnel according to the physiological monitoring data and the basic information;
generating home care information according to the health condition of the serviced personnel;
and pushing the home care information to the home care terminal.
2. The method of claim 1, wherein generating home care information based on the health of the serviced person comprises:
the health condition is a normal condition, and the home care information includes health preserving information.
3. The method of claim 1, wherein the determining the health condition of the serviced person is based on the physiological monitoring data and the base information; generating home care information according to the health condition of the serviced person, comprising:
acquiring a recurrence risk prediction result according to the physiological monitoring data and the basic information and by combining a recurrence risk prediction model, wherein the recurrence risk prediction result comprises a recurrence risk prediction value;
if the recurrence risk predicted value is higher than a first risk threshold value, judging the health condition of the serviced person as a recurrence abnormal condition;
and generating home care information according to the recurrence risk prediction result and the recurrence abnormal condition, wherein the home care information comprises recurrence early warning information.
4. The method of claim 1, wherein the determining the health condition of the serviced person is based on the physiological monitoring data and the base information; generating home care information according to the health condition of the serviced person, comprising:
acquiring historical physiological monitoring data and historical diet information of the serviced personnel;
acquiring a disease risk prediction result according to the physiological monitoring data, the basic information, the historical physiological monitoring data and the historical diet information and by combining a disease risk prediction model, wherein the disease risk prediction result comprises a disease risk value;
if the illness risk value is higher than a second risk threshold value, the health condition of the serviced person is judged to be an illness abnormal condition;
and generating home care information according to the disease risk prediction result and the disease abnormal condition, wherein the home care information comprises disease early warning information.
5. The method of claim 4, wherein the generating of home care information according to the disease risk prediction result and the disease abnormal condition, the home care information including disease pre-warning information, further comprises:
the disease risk prediction result also comprises a disease name;
generating diet suggestion information according to the names of the diseased diseases, the basic information and the historical diet information;
the pushing of the home care information to the home care terminal includes:
and pushing the sick early warning information and the diet suggestion information to the home care terminal.
6. A home care information display method is applied to a home care terminal, and is characterized by comprising the following steps:
collecting sound data through a service host or a microphone box of the home care terminal, and identifying the sound data to obtain physiological monitoring data;
sending the physiological monitoring data to the home care server;
receiving home care information fed back by the home care server based on the physiological monitoring data;
determining an information type of the home care information;
and displaying the home care information according to the information type.
7. A home care information pushing device, the device comprising:
the physiological monitoring data receiving module is used for acquiring the physiological monitoring data of the served personnel, which is sent by the home care terminal; the physiological monitoring data is obtained by identifying the collected sound data by the home care terminal;
the basic information acquisition module is used for acquiring basic information of the serviced personnel;
the health condition determining module is used for determining the health condition of the serviced personnel according to the physiological monitoring data and the basic information;
the home care information generation module is used for generating home care information according to the health condition of the serviced personnel;
and the home care information sending module is used for pushing the home care information to the home care terminal.
8. A home care information display apparatus, the apparatus comprising:
the voice data acquisition module is used for acquiring voice data through a service host or a microphone box of the home care terminal;
the physiological monitoring data acquisition module is used for identifying the sound data to obtain physiological monitoring data;
the physiological monitoring data sending module is used for sending the physiological monitoring data to the home nursing server;
the home care information receiving module is used for receiving home care information fed back by the home care server based on the physiological monitoring data;
the information type determining module is used for determining the information type of the home care information;
and the home care information display module is used for displaying the home care information according to the information type.
9. A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor when executing the computer program implements the steps of the method of any one of claims 1 to 5, 6.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 5, 6.
CN202011064987.5A 2020-09-30 2020-09-30 Home care information pushing method and device, computer equipment and storage medium Pending CN112289430A (en)

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