CN113327690A - Group management method and device, electronic device and storage medium - Google Patents

Group management method and device, electronic device and storage medium Download PDF

Info

Publication number
CN113327690A
CN113327690A CN202110335271.2A CN202110335271A CN113327690A CN 113327690 A CN113327690 A CN 113327690A CN 202110335271 A CN202110335271 A CN 202110335271A CN 113327690 A CN113327690 A CN 113327690A
Authority
CN
China
Prior art keywords
disease
client
group
monitoring task
client user
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202110335271.2A
Other languages
Chinese (zh)
Inventor
张萌
邢丽娟
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Taikang Health Industry Investment Holdings Co ltd
Taikang Insurance Group Co Ltd
Original Assignee
Taikang Health Industry Investment Holdings Co ltd
Taikang Insurance Group Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Taikang Health Industry Investment Holdings Co ltd, Taikang Insurance Group Co Ltd filed Critical Taikang Health Industry Investment Holdings Co ltd
Priority to CN202110335271.2A priority Critical patent/CN113327690A/en
Publication of CN113327690A publication Critical patent/CN113327690A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • 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
    • 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
    • G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
    • 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

Landscapes

  • Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Medical Informatics (AREA)
  • Public Health (AREA)
  • Epidemiology (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Biomedical Technology (AREA)
  • Pathology (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Medical Treatment And Welfare Office Work (AREA)

Abstract

The application provides a packet management method and device, an electronic device and a storage medium, wherein the method comprises the following steps: receiving health data of a first client user, and grouping the first client user according to the health data to obtain a grouping result, wherein the grouping result comprises a disease-free service group and a chronic disease service group, and the chronic disease service group comprises a plurality of single disease groups and compound disease groups related to disease types; then determining a monitoring task corresponding to the first client user according to the grouping result; and receiving feedback information aiming at the monitoring task, and sending the feedback information to the corresponding second client so that the second client user executes related operation aiming at the feedback information. According to the embodiment of the application, different monitoring tasks can be generated according to different grouping results, and the received feedback information aiming at the monitoring tasks is sent to the corresponding second client, so that a second client user executes related operations aiming at the feedback information, and the closed-loop management of health management is realized.

Description

Group management method and device, electronic device and storage medium
Technical Field
The present application relates to the field of medical management technologies, and in particular, to a group management method and apparatus, an electronic device, and a storage medium.
Background
With the development of network technology, health management systems of the aged-care community and the rehabilitation hospital are gradually popularized. The existing health management systems of the endowment communities and the rehabilitation hospitals generally carry out grouping management according to the types of single diseases, related preventive measures are lacked for healthy people without diseases, people with various complex diseases can be divided into a plurality of disease groups corresponding to the complex diseases, and the management of each disease group is independent; the patient may need to receive various repeated examinations and treatments, which is not good for the health of the patient. Further, the conventional health management system adopts the same treatment plan for a serious patient and a mild patient suffering from the same disease, cannot treat the disease in a targeted manner, and is also disadvantageous to the health of the patient.
Therefore, the existing health management system lacks dynamic management when acquiring and formulating examination and treatment tasks of the health data of the patient on a grouping management level; and the cooperative management of patients and service personnel cannot be embodied, and the problems of poor health management quality and low efficiency exist.
Disclosure of Invention
In view of the above problems, the present application is proposed to provide a packet management method and apparatus, an electronic device, and a storage medium that overcome or at least partially solve the above problems, including:
a packet management method is applied to a health management system server, wherein the health management system server is respectively communicated with a first client and a second client, and the method comprises the following steps:
receiving health data of the first client user;
grouping the first client users according to the health data to obtain grouping results, wherein the grouping results comprise a disease-free service group and a chronic disease service group, and the chronic disease service group comprises a plurality of single disease groups and compound disease groups related to disease types;
determining a monitoring task corresponding to the first client user according to the grouping result;
and receiving feedback information aiming at the monitoring task, and sending the feedback information to a corresponding second client so that a second client user executes related operation aiming at the feedback information.
Optionally, the receiving health data of the first client user includes:
receiving survey information of the first client user aiming at a preset baseline questionnaire;
and determining health data of the first client user according to the survey information.
Optionally, the receiving health data of the first client user includes:
receiving feedback information of the first client user aiming at the monitoring task;
and determining health data of the first client user according to the feedback information.
Optionally, the method further comprises:
sending the monitoring task to the first client, so that the first client performs an operation for the monitoring task, obtains feedback information for the monitoring task, and/or,
and sending the monitoring task to the second client so that the second client performs the operation aiming at the monitoring task on the first client by the user to obtain the feedback information aiming at the monitoring task.
Optionally, the method further comprises:
when the grouping result is a first compound disease group, generating an initial compound disease monitoring task according to the disease type of the first compound disease group;
sending the initial complex disease monitoring task to a corresponding second client, so that a user of the second client corrects the initial complex disease monitoring task to obtain a target complex disease monitoring task;
and updating the monitoring task corresponding to the first client user into the target compound disease monitoring task.
Optionally, the method further comprises:
when a first disease abnormality index different from the disease type of the first compound disease group exists in the feedback information of the target compound disease monitoring task, determining the disease type corresponding to the first disease abnormality index;
and updating the grouping result according to the disease type corresponding to the first disease abnormality index, wherein the grouping result is updated from the first compound disease group to a second compound disease group, and the disease type of the second compound disease group comprises the disease type corresponding to the first disease abnormality index.
Optionally, the method further comprises:
when the grouping result is a first single disease group, determining a corresponding single disease monitoring task according to the disease type of the first single disease group;
when a second disease abnormality index different from the disease type of the first single disease group exists in the received feedback information aiming at the single disease monitoring task, determining the disease type corresponding to the second disease abnormality index;
updating the grouping result according to the disease type corresponding to the second disease abnormality index, wherein the grouping result is updated from the first single disease group to a third compound disease group; the disease type of the third composite disease group comprises the disease type of the first single disease group and the disease type corresponding to the second disease abnormality index.
Optionally, the disease-free business group comprises a health group and a chronic risk group, the method further comprising:
when the grouping result is a health group in the disease-free service group, determining that the monitoring task corresponding to the first client user is a health monitoring task;
when the number of times of the first abnormal index in the received feedback information aiming at the health monitoring task reaches a first preset number, updating the grouping result, wherein the updating of the grouping result from the health group to the chronic disease risk group is included;
and updating the monitoring task corresponding to the first client user into a chronic disease monitoring task.
Optionally, the method further comprises:
and when the frequency of the second abnormal index in the received feedback information aiming at the chronic disease monitoring task reaches a second preset frequency, updating the grouping result, including updating the grouping result from the chronic disease risk group to the chronic disease service group.
Optionally, the method further comprises:
sending the grouping result to the first client and/or the second client so that the first client user and/or the second client user can check the grouping to which the first client user belongs and the health data of the first client user;
and when the grouping result is updated, sending a corresponding notification message to the first client and/or the second client, wherein the notification message comprises the grouping result before and after the updating.
Optionally, the grouping the first client user according to the health data to obtain a grouping result, further comprising:
generating a health management label of the first client user according to the health data, wherein the health management label comprises a disease type of the first client user;
judging whether a service group corresponding to the health management label exists in a preset grouping library or not;
and if not, adding a service group corresponding to the health management label in the preset grouping library.
A packet management device, the device being applied to a health management system server, the health management system server being in communication with a first client and a second client, respectively, the device comprising:
the first receiving module is used for receiving the health data of the first client user;
the grouping determination module is used for grouping the first client users according to the health data to obtain a grouping result, wherein the grouping result comprises a disease-free service group and a chronic disease service group, and the chronic disease service group comprises a plurality of single disease groups and compound disease groups related to disease types;
the task determining module is used for determining a monitoring task corresponding to the first client user according to the grouping result;
and the second receiving module is used for receiving feedback information aiming at the monitoring task and sending the feedback information to a corresponding second client so as to display the feedback information on a display interface of the second client and enable a user of the second client to execute related operation aiming at the feedback information.
An electronic device comprising a processor, a memory and a computer program stored on the memory and capable of running on the processor, the computer program, when executed by the processor, implementing the steps of the packet management method as described above.
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 packet management method as set forth above.
The application has the following advantages:
in the embodiment of the application, the health data of a first client user is received, and the first client user is grouped according to the health data to obtain a grouping result, wherein the grouping result comprises a disease-free service group and a chronic disease service group, and the chronic disease service group comprises a plurality of single disease groups and compound disease groups related to disease types; then determining a monitoring task corresponding to the first client user according to the grouping result; and receiving feedback information aiming at the monitoring task, and sending the feedback information to the corresponding second client so that the second client user executes related operation aiming at the feedback information. According to the embodiment of the application, different monitoring tasks can be generated according to different grouping results, the received feedback information aiming at the monitoring tasks is sent to the corresponding second client, and the user of the second client is a medical worker, so that the user of the second client executes related operations aiming at the feedback information, and the closed-loop management of health management is realized. Meanwhile, the grouping result comprises a health group, so that the health management of healthy people can be realized; the grouping result comprises a plurality of compound disease groups related to disease types, and targeted health management can be performed on compound disease groups, so that the effect of health management is improved.
Drawings
In order to more clearly illustrate the technical solutions of the present application, the drawings needed to be used in the description of the present application will be briefly introduced below, and it is apparent that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive labor.
Fig. 1 is a flowchart illustrating steps of a packet management method according to an embodiment of the present application;
FIG. 2 is a schematic diagram of a health management business group according to an embodiment of the present application;
fig. 3 is a packet flow chart of a specific example of a packet management method according to an embodiment of the present application;
FIG. 4 is a flow chart of the monitoring of the health group of FIG. 3;
FIG. 5 is a flow chart of monitoring of the compound patient group shown in FIG. 3;
fig. 6 is a block diagram of a packet management device according to an embodiment of the present application.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present application more comprehensible, the present application is described in further detail with reference to the accompanying drawings and the detailed description. It is to be understood that the embodiments described are only a few embodiments of the present application and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The health management system may be adapted for health management of all people in a certain location or area, for example, may be adapted for health management of all people in an elderly care institution, may be adapted for health management of all people who use the health management system autonomously, and so on. For convenience of understanding, the embodiment of the application is applied to an old-age care institution as an example, and the type of the disease is exemplified by chronic diseases as an example.
In an embodiment of the present application, the health management system may include a health management system server and a health management system client, where the health management system client may include a first client and a second client, the first client may be a user client that receives the health management system service, and the second client may be a medical care client that provides medical care service for the health management system.
Fig. 1 is a block management method according to an embodiment of the present application, where the method may be applied to a health management system server, and the health management system server communicates with a first client and a second client respectively.
Generally, the health management system server is configured on the server and used for providing corresponding application services for the client. The server can be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, and can also be a cloud server for providing basic cloud computing services such as cloud service, a cloud database, cloud computing, cloud functions, cloud storage, network service, cloud communication, middleware service, big data and artificial intelligence platforms and the like. The client refers to a program corresponding to the server and providing a local server for the client, and the client can be installed on the terminal device. The terminal device may include an electronic device such as a desktop computer, a notebook computer, a tablet computer, a palm computer, a Personal Digital Assistant (PDA), a smart phone, and the like.
In this embodiment, the method for group management may specifically include the following steps:
step 101, receiving health data of the first client user.
And 102, grouping the first client users according to the health data to obtain a grouping result, wherein the grouping result comprises a disease-free service group and a chronic disease service group, and the chronic disease service group comprises a plurality of single disease groups and compound disease groups related to disease types.
And 103, determining a monitoring task corresponding to the first client user according to the grouping result.
And 104, receiving feedback information aiming at the monitoring task, and sending the feedback information to a corresponding second client so that a user of the second client executes related operation aiming at the feedback information.
The health management system server side receives health data of a first client user, groups the first client user according to the health data to obtain a grouping result, wherein the grouping result comprises a disease-free service group and a chronic disease service group, and the chronic disease service group comprises a plurality of single disease groups and compound disease groups related to disease types; then determining a monitoring task corresponding to the first client user according to the grouping result; and receiving feedback information aiming at the monitoring task, and sending the feedback information to the corresponding second client so that the second client user executes related operation aiming at the feedback information. According to the embodiment of the application, different monitoring tasks can be generated according to different grouping results, and the received feedback information aiming at the monitoring tasks is sent to the corresponding second client, so that a second client user (medical service staff) executes related operations aiming at the feedback information, and the closed-loop management of health management is realized. Meanwhile, the grouping result comprises a health group, so that the health management of healthy people can be realized; the grouping result comprises a plurality of compound disease groups related to disease types, and targeted health management can be performed on compound disease groups, so that the effect of health management is improved.
Next, a packet management method in the present exemplary embodiment will be further explained.
In step 101, health data of the first client user is received.
The health management system server side can receive the health data which is sent by the first client side and/or the second client side and related to the first client side user through communication with the first client side and/or the second client side.
Specifically, a first client user can directly send health data to a health management system server through a first client; the second client user (healthcare service personnel) can also send health data about the first client user to the health management system server through the second client used by the second client user. The health data may include a disease condition, including whether the disease is present, and the type and extent of the disease.
In a specific example, when a first client user logs in or uses the health management system for the first time, the first client user may be considered as a new user; the preset baseline questionnaire can be pushed to the first client corresponding to the new user, so that the first client user can fill out related survey information based on the preset baseline questionnaire, the survey information generally comprises current vital sign data, illness condition, risk factors and the like of the first client user, wherein the risk factors can comprise genetic disease history, age, weight, drinking condition, living condition and the like. After completing the filling of the preset baseline questionnaire, the first client user may send the filled preset baseline questionnaire to the health management system server. Therefore, the health management system server can receive the survey information of the first client user for the preset baseline questionnaire. The health management system server can determine the health data of the first client user according to the survey information.
In another specific example, when the first client user is not a new user, at this time, the first client user is already allocated to a corresponding group, and the health management service system may generate a monitoring task corresponding to the first client user, and the first client user or the second client user may perform relevant means such as examination and treatment on the first client user for the monitoring task to obtain corresponding feedback information, and send the feedback information to the health management system service end; the feedback information comprises current vital sign data of the first client user after the first client user performs examination, treatment and other measures related to the monitoring task. The health management system server may determine health data of the first client user based on the feedback information.
Further, when the first client user is not a new user, the feedback information about the first client user for the monitoring task and the survey information filled in for the preset baseline questionnaire can be dynamically analyzed and combined to obtain the health data of the first client user.
In step 102, the first client user is grouped according to the health data to obtain a grouping result, and the grouping result comprises a disease-free service group and a chronic disease service group, wherein the chronic disease service group comprises a plurality of single disease groups and compound disease groups related to disease types.
After the health data of the first client user is collected, the first client user can be divided into corresponding health management service groups according to the health data. As shown in fig. 2, the health management business group may include a disease-free business group including a health group and a plurality of chronic disease risk groups associated with disease types, and a chronic disease business group including a plurality of single disease groups and composite disease groups associated with disease types. Wherein, the healthy group refers to the people without chronic diseases; the chronic disease risk group refers to the group who has chronic disease characteristics but does not meet the diagnosis standard; single disease group refers to a population with a single chronic disease; the compound disease group refers to the population with at least two chronic diseases.
In the embodiment of the application, the health management service group comprises a health group, and health management of healthy people can be realized.
In the embodiment of the application, the health management service group comprises a compound disease group, so that more effective health management can be performed on people suffering from various chronic diseases.
In a specific implementation, when the first client user is a new user, the first client user may be grouped according to a diseased condition in the survey information filled by the first client user for the preset baseline questionnaire. Illustratively, when a first client user has only hypertension, the first client user is divided into hypertension groups of a single disease group.
When the first client user is not in a diseased state, whether the vital sign data and/or the risk factors reach preset quantitative indexes can be judged, if yes, the first client user is grouped according to the vital sign data and/or the risk factors, and if not, the first client user is divided into healthy groups. Illustratively, a first client user is classified into a hypertension group of a single disease group when its systolic pressure is above 140mmHg and its diastolic pressure is above 90 mmHg.
Further, the first client user may also be grouped in connection with the diseased condition, vital sign data, and risk factors. Illustratively, when a first client user has diabetes and has a systolic pressure above 140mmHg and a diastolic pressure above 90mmHg, the first client user is classified into a diabetic-hypertensive group of the composite disease group.
It should be noted that, when the first client users are grouped according to the risk factors, the system stores a disease and risk factor relational database in advance, and can predict whether the first client user has a certain disease or not through the relational database and the risk factors filled by the users, and further group the first client users according to the disease that the first client user has been predicted to have by the risk factors.
When the first client user is an old user, the grouping result of the users can be dynamically adjusted by combining the feedback information of the first client user for the monitoring task.
In step 103, a monitoring task corresponding to the first client user is determined according to the grouping result.
In the embodiment of the application, the monitoring tasks corresponding to different grouping results are different. After the grouping result of the first client user is determined, determining a monitoring task corresponding to the first client user according to the grouping result; and sending the monitoring task to the first client, so that the first client user actively executes the operation aiming at the monitoring task to obtain the feedback information aiming at the monitoring task.
When the first client user does not have the active execution capability or lacks the related device for actively executing the monitoring task, in an embodiment of the present application, the monitoring task may also be simultaneously sent to the corresponding second client, so that the second client user executes an operation for the monitoring task on the first client user, and obtains feedback information for the monitoring task. The corresponding second client can be a health manager client which is configured for the first client user in advance, provides comprehensive service for health management of the first client user and has doctor qualification, and/or a specialist client related to a monitoring task; namely, the monitoring task can be simultaneously sent to the health manager client of the first client user and/or the corresponding specialist client.
Of course, when the first client user does not have the active execution capability or lacks the related device for actively executing the monitoring task, in an embodiment of the present application, the monitoring task may also be directly sent to the second client, instead of being sent to the first client.
Specifically, the generation manner of the monitoring tasks corresponding to the users in the same group and the frequency of sending the monitoring tasks may be the same.
In step 104, feedback information for the monitoring task is received, and the feedback information is sent to a corresponding second client, so that a user of the second client performs a relevant operation on the feedback information.
In this embodiment, the health management system server may further receive feedback information about the first client user for the monitoring task through the first client or the second client, and may summarize and sort the feedback information and send the summarized feedback information to the second client.
Illustratively, when the blood pressure in the feedback information exceeds a normal value, the feedback information with abnormal blood pressure can be sent to the second client, so that the second client user intervenes in the health of the first client user, for example, the first client user is subjected to blood pressure reduction treatment, and serious consequences caused by untimely treatment of sudden hypertension of the first client are avoided.
Illustratively, when the situation that the blood pressure continuously rises is statistically obtained from the feedback information continuously and repeatedly, even if the highest blood pressure value does not exceed the normal value, the continuously rising blood pressure information can be sent to the second client, so that the second client user focuses on the blood pressure condition of the first client user to intervene in time.
It should be noted that, when the second client user is a health manager configured for the first client user, the health manager may analyze the feedback information according to its own medical experience, and determine the measures to be taken to intervene in the health condition of the first client user; the method comprises the steps of sending corresponding medical requests to related specialist doctors in the community so that the related specialist doctors can intervene in the health condition of the first client user.
Further, in the embodiment of the present application, the grouping result may dynamically change according to the actual situation, and each grouping result will be described separately below.
In an example, when the grouping result is a health group in a disease-free service group, the monitoring task corresponding to the first client user is determined to be a health monitoring task.
And when the number of times of the first abnormal index in the received feedback information aiming at the health monitoring task reaches a first preset number, updating the grouping result, including updating the grouping result from the health group to the chronic disease risk group.
And updating the monitoring task corresponding to the first client user into a chronic disease monitoring task.
In this embodiment, the health monitoring task may be preset in the health management system, and the health monitoring task may be sent to the first client user in the health group. The health monitoring task relates to a full index of the first client user.
The health management system server can receive feedback information of a first client user on the health monitoring task, and when the feedback information of the first preset times comprises first abnormal indexes, the grouping result is updated, and the grouping result is updated to a chronic disease risk group from a health group; and updating the monitoring task corresponding to the first client user into a chronic disease monitoring task. Wherein, the first abnormal index is an abnormal index corresponding to a certain disease type; the disease type of the chronic disease risk group is related to the disease type corresponding to the first abnormal index, and the chronic disease monitoring task is specifically related to the disease type corresponding to the first abnormal index.
Illustratively, when the first abnormal index is that the blood pressure is too high, the grouping result of the first client is updated to a hypertension risk group, and the monitoring task corresponding to the user of the first client is updated to a chronic disease monitoring task for preventing hypertension.
In this embodiment, sending the corresponding chronic disease monitoring task to the first client user of the chronic disease risk group is mainly performed for prevention, so that effective health management of people with potential chronic disease risk can be realized.
Optionally, the health management system server may further adjust the sending frequency of the monitoring task according to the received feedback information.
Specifically, when the feedback information includes the first abnormal index, the sending frequency of the health monitoring task is increased. For example, the transmission frequency is increased from once a week to twice a week. And recording the type and the occurrence frequency of the first abnormal index.
When the feedback information does not contain the first abnormal index, the sending frequency of the health monitoring task can be reduced. For example, the transmission frequency is reduced from once a week to once every two weeks.
In another example, when the grouping result is a chronic disease risk group in a disease-free service group, determining that the monitoring task corresponding to the first client user is a chronic disease monitoring task;
and when the frequency of the second abnormal index in the received feedback information aiming at the chronic disease monitoring task reaches a second preset frequency, updating the grouping result, including updating the grouping result from the chronic disease risk group to the chronic disease service group. The second abnormal index is an abnormal index corresponding to a certain disease type, and the disease type corresponding to the second abnormal index may be the same as the disease type corresponding to the first abnormal index.
In this embodiment, a first client user in the chronic disease risk group may record the number of times that a second abnormal indicator in feedback information of the first client user for a chronic disease monitoring task continuously appears or the number of times that the second abnormal indicator appears within a preset period; when the occurrence frequency of the second abnormal index reaches a corresponding second preset frequency, the first client user can be diagnosed with the chronic disease, and the first client user is transferred to a single disease group or a composite disease group corresponding to the chronic disease service group.
For example, when the first client user in the hypertension risk group has an abnormality with a high blood pressure value three times in the feedback information for the chronic disease monitoring task, or has an abnormality with a high blood pressure value four times in the six consecutive feedback information, the first client user may be shifted to the hypertension group of the single disease group.
For another example, when the first client user in the hypertension risk group has an abnormality with a high blood pressure value and an abnormality with a high blood sugar value continuously three times in the feedback information for the chronic disease monitoring task, or has an abnormality with a high blood pressure value and an abnormality with a high blood sugar value continuously four times in the feedback information six times, the first client user may be transferred to the hypertensive diabetic group of the composite disease group.
Further, the number of continuous times that no abnormal index appears in the feedback information of the first client user aiming at the chronic disease monitoring task can be recorded for the first client user in the chronic disease risk group. And when the number of times that the abnormal index does not appear reaches the corresponding preset number of times, the physical condition of the first client user can be considered to be recovered, and the first client user is transferred to a health group. For example, when the first client user in the hypertension risk group does not have an abnormality with a high blood pressure value for five times in the feedback information for the chronic disease monitoring task, and does not have other abnormality indexes at the same time, the first client user may be transferred to the health group.
Optionally, in order to improve the accuracy of grouping management, when the number of times that the second abnormal indicator exists in the received feedback information for the chronic disease monitoring task reaches a second preset number of times, updating the grouping result may further include:
sending a diagnosis task to a corresponding second client so that a second client user can carry out disease diagnosis aiming at the diagnosis task to obtain a diagnosis result;
receiving a diagnosis result returned by the second client;
and determining a grouping result of the first client user according to the diagnosis result.
Specifically, the corresponding user of the second client has the qualification for diagnosing diseases, and when the diagnosis result is that the chronic disease is suffered, the user of the first client is transferred into the corresponding chronic disease service group. And when the diagnosis result is not sick, keeping the current grouping result, namely the first client user continuously keeps in the corresponding chronic disease risk group. Because the first client user has an abnormal index in the feedback information for the health monitoring task in the chronic disease risk group, although the abnormal index does not meet the disease standard, the first client user still has a disease risk, and therefore, the first client user continues to remain in the current chronic disease risk group. By adding the manual diagnosis process, the accuracy of grouping management can be improved.
In another example, when the grouping result is a first single disease group, determining a corresponding single disease monitoring task according to the disease type of the first single disease group; wherein, the first single disease group refers to one single disease group in the single disease groups; the corresponding single illness monitoring task involves the full index of the first client user and focuses on the chronic illness index of the first single illness group.
And when a second disease abnormality index different from the disease type of the first single disease group exists in the received feedback information aiming at the single disease monitoring task, determining the disease type corresponding to the second disease abnormality index.
Updating the grouping result according to the disease type corresponding to the second disease abnormality index, wherein the grouping result is updated from the first single disease group to a third compound disease group; the disease type of the third composite disease group comprises the disease type of the first single disease group and the disease type corresponding to the second disease abnormality index.
In this embodiment, for a first client user of a single disease group, a corresponding single disease monitoring task may be generated and sent according to a single disease type suffered by the first client user, and feedback information corresponding to the single disease monitoring task is received, so as to periodically monitor a health condition of the first client user.
When a second disease abnormality index different from the disease type of the first single disease group exists in the feedback information, the disease type corresponding to the second disease abnormality index is determined, the grouping result of the first client user is adjusted from the first single disease group to a third composite disease group, wherein the third composite disease group is one of the composite disease groups, and the disease type of the third composite disease group comprises the disease type of the first single disease group and the disease type corresponding to the second disease abnormality index.
Illustratively, when the first single disease group is a hypertensive disease group, the first client user transfers the first client user from the current hypertensive disease group to a hypertensive diabetic group in the composite disease group when the feedback information of the health monitoring task corresponding to the hypertensive disease group includes the second abnormal disease index (blood glucose is higher abnormal).
Optionally, in order to improve the accuracy of grouping management, the updating the grouping result according to the disease type corresponding to the second disease abnormality indicator may further include:
sending a diagnosis task to a corresponding second client so that a second client user can carry out disease diagnosis aiming at the diagnosis task to obtain a diagnosis result;
receiving a diagnosis result returned by the second client;
and determining the grouping result of the first client user according to the diagnosis result.
Specifically, when the diagnosis result is that the patient has the chronic disease corresponding to the second disease abnormal index, the first client user is transferred to the corresponding complex disease service group. And when the diagnosis result is that the patient does not have the chronic disease corresponding to the second disease abnormal index, the current grouping result is kept, namely the first client user is continuously kept in the first single disease group. By adding the manual diagnosis process, the accuracy of grouping management can be improved.
In a further example, when the grouping result is a first compound disease group, generating an initial compound disease monitoring task according to the disease type of the first compound disease group; wherein the first compound disease group is one of the compound diseases. The corresponding initial composite illness monitoring task involves the full index of the first client user and focuses on the chronic illness index of the first composite illness group.
And sending the initial complex disease monitoring task to a corresponding second client so that the second client user corrects the initial complex disease monitoring task to obtain a target complex disease monitoring task.
And updating the monitoring task corresponding to the first client user into the target compound disease monitoring task.
In this embodiment, when a first client user is classified into a composite disease group, the first client user is said to have at least two chronic diseases. The method can acquire data of disease history, medication history, treatment record, risk assessment and the like of the first client user to screen main diseases from multiple diseases, and determine a specific compound disease group to which the first client user belongs according to the relationship between complications and original diseases. Illustratively, when a first client user has coronary heart disease, often accompanied by hypertension, the first client user may be classified into a coronary heart disease hypertension group. As another example, when a first client user has hypertension and diabetes, the first client user may be classified into hypertensive-diabetic groups.
After the grouping result of the first client user is determined to be the first compound disease group, a corresponding initial compound disease monitoring task can be automatically generated. Because the health management of the complex disease is more complex, in order to ensure that the complex disease monitoring task for the user has a better health management intervention effect, in the embodiment of the application, the automatically generated initial complex disease monitoring task can be sent to the corresponding second client, and the user of the second client corrects the initial complex disease monitoring task to obtain the corrected target complex disease monitoring task.
The specific correction process may be that the second client user determines whether the initial composite disease monitoring task has a conflict, and if no conflict exists, the initial composite disease monitoring task is directly determined as the target composite disease monitoring task; and if the conflict exists, the second client user modifies the initial composite disease monitoring task, determines the modified initial composite disease monitoring task as a target composite disease monitoring task, sends the target composite disease monitoring task, and receives feedback information corresponding to the target composite disease monitoring task so as to regularly monitor the health condition of the first client user.
When a first disease abnormality index different from the disease type of the first compound disease group exists in the feedback information of the target compound disease monitoring task, determining the disease type corresponding to the first disease abnormality index;
and updating the grouping result according to the disease type corresponding to the first disease abnormality index, wherein the grouping result is updated from the first compound disease group to a second compound disease group, and the disease type of the second compound disease group comprises the disease type corresponding to the first disease abnormality index.
In this embodiment, when receiving that there is a first disease abnormality index different from the disease type of the first composite disease group in the feedback information for the target composite disease monitoring task, it indicates that the first client user has a new disease, and may transfer the first client user from the current first composite disease group to a second composite disease group, where the disease type of the second composite disease group includes the disease type corresponding to the first disease abnormality index.
Illustratively, when the first composite disease group is a hypertensive diabetic group, the first client user transfers the first client user from the current hypertensive diabetic group to the second composite disease group (hypertensive diabetic coronary heart disease group) when the first client user includes the first disease abnormality index (abnormal heart rate) in the feedback information of the target composite disease monitoring task corresponding to the hypertensive diabetic group.
Optionally, in order to improve the accuracy of grouping management, the updating the grouping result according to the disease type corresponding to the first disease abnormality indicator may further include:
sending a diagnosis task to a corresponding second client so that a second client user can carry out disease diagnosis aiming at the diagnosis task to obtain a diagnosis result;
receiving a diagnosis result returned by the second client;
and determining the grouping result of the first client user according to the diagnosis result.
Specifically, when the diagnosis result is that the patient has the chronic disease corresponding to the first disease abnormality index, the first client user is transferred to the corresponding complex disease service group. And when the diagnosis result is that the chronic disease corresponding to the first disease abnormal index does not exist, keeping the current grouping result, namely the first client user continues to be kept in the first compound disease group. By adding the manual diagnosis process, the accuracy of grouping management can be improved.
Further, the health management system server can adjust the sending frequency of the monitoring task according to the received feedback information.
Exemplarily, when the feedback information shows that the sick condition of the user is better, the sending frequency of the monitoring task can be reduced; when the user's ill condition worsens, the transmission frequency of the monitoring task can be increased.
Further, in an embodiment of the present application, in order to facilitate grouping management, the grouping the first client user according to the health data to obtain a grouping result may further include:
generating a health management label of the first client user according to the health data, wherein the health management label comprises a disease type of the first client user;
judging whether a service group corresponding to the health management label exists in a preset grouping library or not;
and if not, adding a service group corresponding to the health management label in the preset grouping library.
In this embodiment, the health management tag corresponding to the first client user may be generated according to the health data of the first client user, and the first client users may be grouped according to the health management tag. The health management tag can be added to the basic information of the first client user, so that the medical staff can know the grouping result of the first client user when reading the basic information of the first client user. Dynamic grouping of the first client user may be accomplished by monitoring changes in the health management label.
In specific implementation, after the health data of the first client user is collected, data processing and processing can be performed on the health data of the first client user to analyze the physical condition of the first client user, and then a health management label corresponding to the first client user is generated. Then, searching a service group corresponding to the health management label of the first client user from the existing preset grouping library, and dividing the first client user into the corresponding service groups.
When the service group corresponding to the health management tag of the first client user does not exist in the preset grouping library, the service group may be added to the preset grouping library.
It should be noted that, when the medical staff checks the basic information of the first client, the medical staff may also judge whether the health management label of the first client user is correct according to experience, and when the health management label of the first client user is incorrect, the grouping result of the first client user is adjusted by modifying the health management label of the first client user.
Further, in an embodiment of the present application, to facilitate packet management, the method further includes:
sending the grouping result to the first client and/or the second client so that the first client user and/or the second client user can check the grouping to which the first client user belongs and the health data of the first client user;
and when the grouping result is updated, sending a corresponding notification message to the first client and/or the second client, wherein the notification message comprises the grouping result before and after the updating.
In the embodiment of the application, a first client user can view own grouping results and own health data in a client used by the first client user; the second client user may also view the grouped results and health data of the first client user of their service in the client they use. When the grouping result of the first client user is updated, a corresponding notification message can be sent to the first client and/or the second client to remind the first client user and/or the second client user serving the first client user to pay attention to the health condition of the first client user, so that the service effect of health management is optimized.
In order to make the technical solutions of the present application more clearly understood by those skilled in the art, the following description will be made with reference to fig. 3 to 5.
Referring to fig. 3, fig. 3 is a packet management flowchart of a specific example of a packet management method according to an embodiment of the present application.
Step 301, a user stays in; for ease of description, the users in fig. 3-6 each represent a first client user; the user check-in, namely the first client user is a new user using the health management service system for the first time;
step 302, sending a preset baseline questionnaire to a user for the user to input corresponding health data according to the preset baseline questionnaire;
step 303, judging whether the user has chronic diseases or not according to the received health data, and if so, entering step 304; if not, go to step 305;
step 304, judging whether the user has various chronic diseases, if so, entering step 307; if not, go to step 306;
step 305, the user is classified into a health group; then, the monitoring process shown in fig. 4 is executed;
step 306, dividing users into single disease groups; step 308 is performed for users of a single disease group;
step 307, dividing users into compound disease groups; then, the monitoring process shown in fig. 5 is executed;
and 308, automatically establishing and sending a single disease monitoring task, wherein the single disease monitoring task relates to the full index of the user, focuses on grouping chronic disease indexes, and is used for guiding the user to execute related operations according to the single disease monitoring task so as to obtain corresponding health data.
Referring to fig. 4, fig. 4 is a flowchart illustrating a monitoring process of the health group shown in fig. 3.
Step 401, automatically establishing and sending a health monitoring task; the health monitoring task relates to the full index of the user and is used for guiding the user to execute relevant operations according to the health monitoring task so as to obtain corresponding health data;
step 402, judging whether the index is abnormal or not; whether the monitored indexes are abnormal or not can be judged according to the obtained health data; if yes, go to step 403; if not, go to step 411;
step 403, determining a health monitoring task of the next period, and increasing the task frequency; focusing attention on abnormal indexes in feedback information aiming at the health monitoring task in the previous period in the health monitoring task in the next period;
step 404, judging whether the index of the task in the first preset period is abnormal; if yes, go to step 405, otherwise go to step 411;
step 405, transferring the user to a chronic disease risk group;
step 406, establishing and sending a chronic disease monitoring task;
step 407, determining whether the index of the task in the second preset period is abnormal, if so, executing step 408, otherwise, returning to step 406;
step 408, sending a task to a specialist, and diagnosing the disease condition by the specialist; sending the task to the corresponding second client;
step 409, judging whether the diagnosis result is chronic disease, if so, executing step 410; if not, return to step 406;
step 410, transferring to a corresponding single disease group or a corresponding compound disease group;
step 411, determine the health monitoring task of the next period, and reduce the task frequency.
Referring to fig. 5, fig. 5 is a flow chart of monitoring the compound disease group shown in fig. 3.
Step 501, automatically establishing an initial complex disease monitoring task, wherein the initial complex disease monitoring task relates to the full index of a user and focuses on grouping chronic disease indexes;
step 502, sending the initial complex disease monitoring task to a corresponding specialist, and judging whether a conflict exists by the specialist;
step 503, judging whether the initial complex disease monitoring task has conflict; if yes, go to step 504, if no, go to step 505;
step 504, modifying the initial complex disease monitoring task by a professional doctor to obtain and send a target complex disease monitoring task; the system is used for guiding a user to execute related operations according to the target complex disease monitoring task so as to obtain corresponding health data;
and 505, determining the initial complex disease monitoring task as a target complex disease monitoring task and sending the target complex disease monitoring task.
The method comprises the steps that health data of a first client user are received, the first client user is grouped according to the health data, and a grouping result is obtained, wherein the grouping result comprises a disease-free service group and a chronic disease service group, and the chronic disease service group comprises a plurality of single disease groups and compound disease groups related to disease types; then determining a monitoring task corresponding to the first client user according to the grouping result; and receiving feedback information aiming at the monitoring task, and sending the feedback information to the corresponding second client so that the second client user executes related operation aiming at the feedback information. According to the embodiment of the application, different monitoring tasks can be generated according to different grouping results, the received feedback information aiming at the monitoring tasks is sent to the corresponding second client, and the user of the second client is a medical worker, so that the user of the second client executes related operations aiming at the feedback information, and the closed-loop management of health management is realized. Meanwhile, the grouping result comprises a health group, so that the health management of healthy people can be realized; the grouping result comprises a plurality of compound disease groups related to disease types, and targeted health management can be performed on compound disease groups, so that the effect of health management is improved.
It should be noted that, for simplicity of description, the method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the embodiments are not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the embodiments. Further, those skilled in the art will also appreciate that the embodiments described in the specification are presently preferred and that no particular act is required of the embodiments of the application.
Referring to fig. 6, a block diagram of an embodiment of a packet management device according to the present application is shown, where the device may be applied to a health management system server of a health management system, and the health management system server communicates with a first client and a second client respectively, and in this embodiment of the present application, the device may specifically include the following modules:
a first receiving module 601, configured to receive health data of the first client user;
a grouping determination module 602, configured to group the first client user according to the health data to obtain a grouping result, where the grouping result includes a disease-free service group and a chronic disease service group, and the chronic disease service group includes a plurality of single disease groups and compound disease groups related to disease types;
a task determining module 603, configured to determine, according to the grouping result, a monitoring task corresponding to the first client user;
a second receiving module 604, configured to receive feedback information for the monitoring task, and send the feedback information to a corresponding second client, so as to display the feedback information on a display interface of the second client, and enable a user of the second client to perform a relevant operation on the feedback information.
Optionally, the first receiving module 601 includes:
the survey information receiving submodule is used for receiving survey information of the first client user aiming at a preset baseline questionnaire;
and the first health data determining submodule is used for determining the health data of the first client user according to the survey information.
Optionally, the first receiving module 601 includes:
the feedback information receiving submodule is used for receiving feedback information of the first client user aiming at the monitoring task;
and the second health data determining submodule is used for determining the health data of the first client user according to the feedback information.
Optionally, the apparatus further comprises:
and the task sending module is used for sending the monitoring task to the first client so that the first client user executes the operation aiming at the monitoring task to obtain feedback information aiming at the monitoring task, and/or is used for sending the monitoring task to the second client so that the second client user executes the operation aiming at the monitoring task to the first client user to obtain the feedback information aiming at the monitoring task.
Optionally, the apparatus further comprises:
the initial monitoring task determining module is used for generating an initial composite disease monitoring task according to the disease type of the first composite disease group when the grouping result is the first composite disease group;
the first monitoring task determining module is used for sending the initial compound disease monitoring task to a corresponding second client so that a second client user can correct the initial compound disease monitoring task to obtain a target compound disease monitoring task;
and the first monitoring task updating module is used for updating the monitoring task corresponding to the first client user into the target compound disease monitoring task.
Optionally, the apparatus further comprises:
the first anomaly determination module is used for determining a disease type corresponding to a first disease anomaly index when the first disease anomaly index different from the disease type of the first compound disease group exists in the feedback information of the received target compound disease monitoring task;
and the first grouping updating module is used for updating the grouping result according to the disease type corresponding to the first disease abnormality index, wherein the grouping result is updated from the first compound disease group to a second compound disease group, and the disease type of the second compound disease group comprises the disease type corresponding to the first disease abnormality index.
Optionally, the apparatus further comprises:
the second monitoring task determining module is used for determining a corresponding single disease monitoring task according to the disease type of the first single disease group when the grouping result is the first single disease group;
the second abnormality determining module is used for determining a disease type corresponding to a second disease abnormality index when the second disease abnormality index different from the disease type of the first single disease group exists in the received feedback information aiming at the single disease monitoring task;
the second grouping updating module is used for updating the grouping result according to the disease type corresponding to the second disease abnormality index, wherein the grouping result is updated from the first single disease group to a third compound disease group; the disease type of the third composite disease group comprises the disease type of the first single disease group and the disease type corresponding to the second disease abnormality index.
Optionally, the disease-free business group comprises a health group and a chronic risk group, the apparatus further comprising:
the third monitoring task determining module is used for determining that the monitoring task corresponding to the first client user is a health monitoring task when the grouping result is a health group in the disease-free service group;
a third anomaly determination module, configured to update the grouping result when the number of times that a first anomaly indicator exists in the received feedback information for the health monitoring task reaches a first preset number of times, where the updating includes updating the grouping result from the health group to the chronic disease risk group;
and the third monitoring task updating module is used for updating the monitoring task corresponding to the first client user into a chronic disease monitoring task.
Optionally, the apparatus further comprises:
and the third grouping updating module is used for updating the grouping result when the frequency of the second abnormal index in the received feedback information aiming at the chronic disease monitoring task reaches a second preset frequency, and the grouping result is updated to the chronic disease service group from the chronic disease risk group.
Optionally, the apparatus further comprises:
the grouping result sending module is used for sending the grouping result to the first client and/or the second client so that the first client user and/or the second client user can check the grouping to which the first client user belongs and the health data of the first client user;
and the notification message sending module is used for sending a corresponding notification message to the first client and/or the second client when the grouping result is updated, wherein the notification message comprises the grouping result before and after the updating.
Optionally, the grouping determining module 602 further includes:
the label generation module is used for generating a health management label of the first client user according to the health data, wherein the health management label comprises the disease type of the first client user;
the service group judgment module is used for judging whether a service group corresponding to the health management label exists in a preset grouping library or not;
and the service group newly-establishing module is used for increasing the service group corresponding to the health management label in a preset grouping library when the service group corresponding to the health management label does not exist in the preset grouping library.
For the device embodiment, since it is basically similar to the method embodiment, the description is simple, and for the relevant points, refer to the partial description of the method embodiment.
The embodiment of the application also discloses an electronic device, which comprises a processor, a memory and a computer program stored on the memory and capable of running on the processor, wherein when the computer program is executed by the processor, the steps of the group management method are realized.
The embodiment of the application also discloses a computer readable storage medium, wherein a computer program is stored on the computer readable storage medium, and when the computer program is executed by a processor, the steps of the group management method are realized.
The embodiments in the present specification are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
As will be appreciated by one of skill in the art, embodiments of the present application may be provided as a method, apparatus, or computer program product. Accordingly, embodiments of the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
Embodiments of the present application are described with reference to flowchart illustrations and/or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing terminal to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing terminal to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing terminal to cause a series of operational steps to be performed on the computer or other programmable terminal to produce a computer implemented process such that the instructions which execute on the computer or other programmable terminal provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present application have been described, additional variations and modifications of these embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including the preferred embodiment and all such alterations and modifications as fall within the true scope of the embodiments of the application.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or terminal that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or terminal. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or terminal that comprises the element.
The packet management method, the packet management apparatus, the electronic device and the storage medium provided by the present application are introduced in detail, and a specific example is applied in the present application to explain the principle and the implementation of the present application, and the description of the above embodiment is only used to help understand the method and the core idea of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.

Claims (14)

1. A packet management method is applied to a health management system server, wherein the health management system server is respectively communicated with a first client and a second client, and the method comprises the following steps:
receiving health data of the first client user;
grouping the first client users according to the health data to obtain grouping results, wherein the grouping results comprise a disease-free service group and a chronic disease service group, and the chronic disease service group comprises a plurality of single disease groups and compound disease groups related to disease types;
determining a monitoring task corresponding to the first client user according to the grouping result;
and receiving feedback information aiming at the monitoring task, and sending the feedback information to a corresponding second client so that a second client user executes related operation aiming at the feedback information.
2. The method of claim 1, wherein receiving health data of the first client user comprises:
receiving survey information of the first client user aiming at a preset baseline questionnaire;
and determining health data of the first client user according to the survey information.
3. The method of claim 1, wherein receiving health data of the first client user comprises:
receiving feedback information of the first client user aiming at the monitoring task;
and determining health data of the first client user according to the feedback information.
4. The method of claim 1, further comprising:
sending the monitoring task to the first client, so that the first client performs an operation for the monitoring task, obtains feedback information for the monitoring task, and/or,
and sending the monitoring task to the second client so that the second client performs the operation aiming at the monitoring task on the first client by the user to obtain the feedback information aiming at the monitoring task.
5. The method of claim 4, further comprising:
when the grouping result is a first compound disease group, generating an initial compound disease monitoring task according to the disease type of the first compound disease group;
sending the initial complex disease monitoring task to a corresponding second client, so that a user of the second client corrects the initial complex disease monitoring task to obtain a target complex disease monitoring task;
and updating the monitoring task corresponding to the first client user into the target compound disease monitoring task.
6. The method of claim 5, further comprising:
when a first disease abnormality index different from the disease type of the first compound disease group exists in the feedback information of the target compound disease monitoring task, determining the disease type corresponding to the first disease abnormality index;
and updating the grouping result according to the disease type corresponding to the first disease abnormality index, wherein the grouping result is updated from the first compound disease group to a second compound disease group, and the disease type of the second compound disease group comprises the disease type corresponding to the first disease abnormality index.
7. The method of claim 4, further comprising:
when the grouping result is a first single disease group, determining a corresponding single disease monitoring task according to the disease type of the first single disease group;
when a second disease abnormality index different from the disease type of the first single disease group exists in the received feedback information aiming at the single disease monitoring task, determining the disease type corresponding to the second disease abnormality index;
updating the grouping result according to the disease type corresponding to the second disease abnormality index, wherein the grouping result is updated from the first single disease group to a third compound disease group; the disease type of the third composite disease group comprises the disease type of the first single disease group and the disease type corresponding to the second disease abnormality index.
8. The method of claim 4, wherein the disease-free business group comprises a health group and a chronic risk group, and wherein the method further comprises:
when the grouping result is a health group in the disease-free service group, determining that the monitoring task corresponding to the first client user is a health monitoring task;
when the number of times of the first abnormal index in the received feedback information aiming at the health monitoring task reaches a first preset number, updating the grouping result, wherein the updating of the grouping result from the health group to the chronic disease risk group is included;
and updating the monitoring task corresponding to the first client user into a chronic disease monitoring task.
9. The method of claim 8, further comprising:
and when the frequency of the second abnormal index in the received feedback information aiming at the chronic disease monitoring task reaches a second preset frequency, updating the grouping result, including updating the grouping result from the chronic disease risk group to the chronic disease service group.
10. The method according to any one of claims 1-9, further comprising:
sending the grouping result to the first client and/or the second client so that the first client user and/or the second client user can check the grouping to which the first client user belongs and the health data of the first client user;
and when the grouping result is updated, sending a corresponding notification message to the first client and/or the second client, wherein the notification message comprises the grouping result before and after the updating.
11. The method according to any one of claims 1-9, wherein said grouping the first client user according to the health data to obtain a grouping result further comprises:
generating a health management label of the first client user according to the health data, wherein the health management label comprises a disease type of the first client user;
judging whether a service group corresponding to the health management label exists in a preset grouping library or not;
and if not, adding a service group corresponding to the health management label in the preset grouping library.
12. A packet management apparatus, applied to a health management system server, the health management system server communicating with a first client and a second client, respectively, the apparatus comprising:
the first receiving module is used for receiving the health data of the first client user;
the grouping determination module is used for grouping the first client users according to the health data to obtain a grouping result, wherein the grouping result comprises a disease-free service group and a chronic disease service group, and the chronic disease service group comprises a plurality of single disease groups and compound disease groups related to disease types;
the task determining module is used for determining a monitoring task corresponding to the first client user according to the grouping result;
and the second receiving module is used for receiving feedback information aiming at the monitoring task and sending the feedback information to a corresponding second client so as to display the feedback information on a display interface of the second client and enable a user of the second client to execute related operation aiming at the feedback information.
13. An electronic device comprising a processor, a memory and a computer program stored on the memory and capable of running on the processor, the computer program, when executed by the processor, implementing the steps of the group management method according to any one of claims 1 to 11.
14. 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 group management method according to any one of claims 1 to 11.
CN202110335271.2A 2021-03-29 2021-03-29 Group management method and device, electronic device and storage medium Pending CN113327690A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110335271.2A CN113327690A (en) 2021-03-29 2021-03-29 Group management method and device, electronic device and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110335271.2A CN113327690A (en) 2021-03-29 2021-03-29 Group management method and device, electronic device and storage medium

Publications (1)

Publication Number Publication Date
CN113327690A true CN113327690A (en) 2021-08-31

Family

ID=77414602

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110335271.2A Pending CN113327690A (en) 2021-03-29 2021-03-29 Group management method and device, electronic device and storage medium

Country Status (1)

Country Link
CN (1) CN113327690A (en)

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20060212316A1 (en) * 2004-12-20 2006-09-21 Jackson David B Monitoring and feedback wireless medical system and method
CN107229814A (en) * 2016-03-24 2017-10-03 深圳中迈数字医疗技术有限公司 The method and system intervened according to chronic's information
CN107436994A (en) * 2017-06-16 2017-12-05 康美健康云服务有限公司 A kind of client-based patient is grouped active management method and its system
CN112466423A (en) * 2020-12-08 2021-03-09 北京无极慧通科技有限公司 Intelligent chronic disease health management method and system
CN112466446A (en) * 2020-11-11 2021-03-09 雷海科 Intelligent follow-up management system based on medical system

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20060212316A1 (en) * 2004-12-20 2006-09-21 Jackson David B Monitoring and feedback wireless medical system and method
CN107229814A (en) * 2016-03-24 2017-10-03 深圳中迈数字医疗技术有限公司 The method and system intervened according to chronic's information
CN107436994A (en) * 2017-06-16 2017-12-05 康美健康云服务有限公司 A kind of client-based patient is grouped active management method and its system
CN112466446A (en) * 2020-11-11 2021-03-09 雷海科 Intelligent follow-up management system based on medical system
CN112466423A (en) * 2020-12-08 2021-03-09 北京无极慧通科技有限公司 Intelligent chronic disease health management method and system

Similar Documents

Publication Publication Date Title
Abdel-Basset et al. RETRACTED: a novel and powerful framework based on neutrosophic sets to aid patients with cancer
El-Gayar et al. A systematic review of IT for diabetes self-management: are we there yet?
KR102558021B1 (en) A clinical decision support ensemble system and the clinical decision support method by using the same
Capomolla et al. Cost/utility ratio in chronic heart failure: comparison between heart failure management program delivered by day-hospital and usual care
Heisler et al. Racial disparities in diabetes care processes, outcomes, and treatment intensity
Chaudhry et al. Telemonitoring for patients with chronic heart failure: a systematic review
Celler et al. Using information technology to improve the management of chronic disease
CA2918332C (en) Patient care surveillance system and method
Yanamadala et al. Electronic health records and quality of care: an observational study modeling impact on mortality, readmissions, and complications
Riegel et al. Effect of a standardized nurse case-management telephone intervention on resource use in patients with chronic heart failure
Takeda et al. Clinical service organisation for heart failure
Bowles et al. Clinical effectiveness, access to, and satisfaction with care using a telehomecare substitution intervention: a randomized controlled trial
Sisk et al. Effects of nurse management on the quality of heart failure care in minority communities: a randomized trial
Pedone et al. Systematic review of telemonitoring in COPD: an update
CN101526980B (en) For generation of the system and method for real-time health care alerts
US7860731B2 (en) Monitoring and feedback wireless medical system and method
Capomolla et al. Heart failure case disease management program: a pilot study of home telemonitoring versus usual care
US20170068786A1 (en) Sharing healthcare information on private collaborative networks
US20210407633A1 (en) System and method for tracking informal observations about a care recipient by caregivers
Rogers Internet of things-based smart healthcare systems, wireless connected devices, and body sensor networks in COVID-19 remote patient monitoring
Wang et al. Association of wearable device use with pulse rate and health care use in adults with atrial fibrillation
El Jamal et al. Advances in telemedicine for the management of the elderly cardiac patient
Shalom et al. Distributed application of guideline-based decision support through mobile devices: Implementation and evaluation
Lewing et al. Effect of inadequate care on diabetes complications and healthcare resource utilization during management of type 2 diabetes in the United States
Soto-Gordoa et al. Gender and socioeconomic inequalities in the implementation of the Basque programme for multimorbid patients

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination