CN117373629A - Information processing method, device, system and equipment - Google Patents
Information processing method, device, system and equipment Download PDFInfo
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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
- G16H40/20—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 management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
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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
- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
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Abstract
The method can obtain plan execution results and user evaluations corresponding to the health intervention plans, allocate excitation resources for the user ends according to the plan execution results, determine assessment results of the doctor ends according to the plan execution results and the user evaluations, effectively utilize subsequent information of the health intervention plans, and promote users of the user ends to more positively execute the health intervention plans and promote doctors of the doctor ends to more positively assist the users to execute the health intervention plans by allocating the excitation resources for the user ends and determining the assessment results of the doctor ends.
Description
Technical Field
The present invention relates to the field of computer technology, and in particular, to an information processing method, an information processing apparatus, an information processing system, and an electronic device.
Background
Employee health is critical to the enterprise and healthy employees are beneficial to create higher value. In order to promote the health of staff, enterprises can purchase physical examination projects for the staff, so that the staff can regularly know the health condition of the staff, and the staff can timely improve life habits or take medicines on time when health problems occur.
In a more advanced health management scheme, enterprises typically purchase some health management schemes for employees, and manage and prompt the employees to exercise, check health, and take medicine through third parties. However, the related art does not disclose a management method of an application effect for a health management scheme, that is, the related art does not consider a scheme for optimizing the application effect. However, optimizing the application effect is a more important condition for health management purposes than for health management schemes. Therefore, how to optimize the application effect of the health management scheme becomes a problem to be solved urgently at present.
It should be noted that the information disclosed in the above background section is only for enhancing understanding of the background of the present application and thus may include information that does not constitute a related art known to those of ordinary skill in the art.
Disclosure of Invention
The present invention provides an information processing method, an information processing apparatus, an information processing system, a computer readable storage medium, and an electronic device, which can obtain a plan execution result and a user evaluation corresponding to each health intervention plan, allocate an incentive resource to each user terminal according to the plan execution result, and determine an assessment result of each doctor terminal according to the plan execution result and the user evaluation, so as to effectively utilize subsequent information of each health intervention plan, and by allocating the incentive resource to each user terminal and determining the assessment result of each doctor terminal, promote users of each user terminal to execute the health intervention plan more actively and promote doctors of each doctor terminal to assist users to execute the health intervention plan more actively, which is beneficial to optimizing an application effect of the health intervention plan, and avoid wasting resources for configuring the health intervention plan, thereby further being beneficial to improving a resource utilization rate.
Other features and advantages of the present application will be apparent from the following detailed description, or may be learned in part by the practice of the application.
According to an aspect of the present application, there is provided an information processing method including:
Obtaining plan execution results and user evaluation corresponding to each health intervention plan;
based on the plan execution result, sequencing the user terminals respectively corresponding to the healthy intervention plans to obtain a first sequencing result, and distributing excitation resources for the user terminals according to the first sequencing result;
and sequencing the doctor ends respectively corresponding to each health intervention plan based on the plan execution result and the user evaluation to obtain a second sequencing result, and determining the assessment result of each doctor end according to the second sequencing result.
According to an aspect of the present application, there is provided an information processing apparatus including:
the information acquisition unit is used for acquiring plan execution results and user evaluation corresponding to each health intervention plan;
the excitation resource allocation unit is used for sequencing the user terminals corresponding to the health intervention plans respectively based on the plan execution result to obtain a first sequencing result, and allocating excitation resources to the user terminals according to the first sequencing result;
and the assessment result determining unit is used for sequencing the doctor ends respectively corresponding to the healthy intervention plans based on the plan execution result and the user evaluation to obtain a second sequencing result, and determining the assessment result of each doctor end according to the second sequencing result.
In one embodiment of the present application, further comprising:
an information generating unit for generating activity invitation information in response to an activity configuration operation; wherein the activity configuration operation is for defining an invitation scope;
an information sending unit, configured to send activity invitation information to each user end in the invitation range; each user side is used for responding to the triggering operation aiming at the activity invitation information and continuously monitoring plan execution data, and the plan execution data are used for generating a plan execution result.
In one embodiment of the present application, further comprising:
the demand response unit is used for responding to the unplanned demand reported by the target doctor end in each doctor end according to the staged plan execution data, and evaluating the necessity of the unplanned demand based on the target user end corresponding to the plan execution data; if the necessity of the unplanned requirement meets the preset condition and the resource consumption value corresponding to the unplanned requirement is smaller than the appointed consumption value, the health intervention plan of the target user side is adjusted according to the unplanned requirement, and a new health intervention plan is obtained;
and the pushing unit is used for pushing the new health intervention plan to the target user side.
In one embodiment of the present application, wherein:
And each doctor side is used for carrying out data interaction with the corresponding user side so as to determine the health condition data of the corresponding user side, and generating a health intervention plan according to the corresponding health condition data.
In one embodiment of the present application, further comprising:
the statistical analysis unit is used for counting the plan execution results corresponding to each health intervention plan into the data analysis table; detecting a specific field containing an abnormal value in the data analysis table; a plan optimization suggestion is generated based on the particular field.
In one embodiment of the present application, the incentive resource allocation unit sorts the user ends corresponding to the health intervention plans respectively based on the plan execution result to obtain a first sorting result, including:
obtaining doctor evaluation corresponding to each plan execution result;
and sequencing the user ends respectively corresponding to the healthy intervention plans based on the plan execution result and the doctor evaluation to obtain a first sequencing result.
In one embodiment of the present application, the assessment result determining unit ranks doctor ends respectively corresponding to each health intervention plan based on the plan execution result and the user evaluation to obtain a second ranked result, including:
normalizing the plan execution result to a first parameter, and normalizing the user evaluation to a second parameter;
And sequencing the doctor ends respectively corresponding to the health intervention plans based on the weighted sum of the first parameter and the second parameter so as to obtain a second sequencing result.
In one embodiment of the present application, further comprising:
the doctor terminal screening unit is used for screening each doctor terminal according to the examination result of each doctor terminal to obtain a target doctor terminal; wherein the target doctor end is used for participating in the next round of healthy intervention plan.
According to an aspect of the present application, there is provided an information processing system including: doctor end, user end, enterprise end, wherein:
each doctor end is used for sending plan execution results corresponding to the health intervention plan to the enterprise end;
each user end is used for sending user evaluation corresponding to the health intervention plan to the enterprise end;
the enterprise terminal is used for sequencing the user terminals corresponding to the healthy intervention plans respectively based on the plan execution result to obtain a first sequencing result, and distributing excitation resources for the user terminals according to the first sequencing result; and sequencing the doctor ends respectively corresponding to each health intervention plan based on the plan execution result and the user evaluation to obtain a second sequencing result, and determining the assessment result of each doctor end according to the second sequencing result.
According to an aspect of the present application, there is provided a computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The computer instructions are read from the computer-readable storage medium by a processor of a computer device, and executed by the processor, cause the computer device to perform the methods provided in the various alternative implementations described above.
According to an aspect of the present application, there is provided a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a method of any of the above.
According to an aspect of the present application, there is provided an electronic apparatus including: a processor; and a memory for storing executable instructions of the processor; wherein the processor is configured to perform the method of any of the above via execution of executable instructions.
Exemplary embodiments of the present application may have some or all of the following benefits:
in the information processing method provided by an example embodiment of the present application, a plan execution result and a user evaluation corresponding to each health intervention plan may be obtained, and an incentive resource may be allocated to each user terminal according to the plan execution result and the user evaluation, so that an effective use of subsequent information of each health intervention plan is achieved, and by allocating an incentive resource to each user terminal and determining an assessment result of each doctor terminal, a user at each user terminal may be promoted to more actively execute the health intervention plan and a doctor at each doctor terminal may be promoted to more actively assist the user in executing the health intervention plan, which may be beneficial to optimizing an application effect of the health intervention plan, and avoiding wasting resources for configuring the health intervention plan, and further being beneficial to improving a resource utilization rate.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application. It is apparent that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained from these drawings without inventive effort for a person of ordinary skill in the art.
FIG. 1 schematically illustrates a flow chart of an information processing method according to one embodiment of the present application;
FIG. 2 schematically illustrates a doctor-side interface schematic A according to one embodiment of the application;
FIG. 3 schematically illustrates a user side interface schematic a according to one embodiment of the present application;
FIG. 4 schematically illustrates a doctor-side interface schematic B according to one embodiment of the application;
FIG. 5 schematically illustrates a user side interface schematic b according to one embodiment of the present application;
FIG. 6 schematically illustrates a user side interface schematic c according to one embodiment of the present application;
FIG. 7 schematically illustrates a user side interface schematic d according to one embodiment of the present application;
FIG. 8 schematically illustrates a user-side interface schematic e according to one embodiment of the present application;
FIG. 9 schematically illustrates an architecture diagram of an information handling system according to one embodiment of the present application;
FIG. 10 schematically illustrates a sequence diagram of an information handling system according to one embodiment of the present application;
fig. 11 schematically shows a structural diagram of an information processing apparatus according to an embodiment of the present application;
fig. 12 schematically shows a schematic of a computer system suitable for use in implementing the electronic device of the embodiments of the present application.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. However, the exemplary embodiments may be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the present application. One skilled in the relevant art will recognize, however, that the aspects of the application may be practiced without one or more of the specific details, or with other methods, components, devices, steps, etc. In other instances, well-known aspects have not been shown or described in detail to avoid obscuring aspects of the present application.
Referring to fig. 1, fig. 1 schematically shows a flowchart of an information processing method according to an embodiment of the present application. The method shown in fig. 1 may be performed by an electronic device implementing an enterprise, and the method includes the following steps.
Step S110: and obtaining plan execution results and user evaluation corresponding to each health intervention plan.
Step S120: and sequencing the user ends corresponding to the health intervention plans respectively based on the plan execution results to obtain a first sequencing result, and distributing excitation resources for the user ends according to the first sequencing result.
Step S130: and sequencing the doctor ends respectively corresponding to each health intervention plan based on the plan execution result and the user evaluation to obtain a second sequencing result, and determining the assessment result of each doctor end according to the second sequencing result.
By implementing the method shown in fig. 1, the plan execution result and the user evaluation corresponding to each health intervention plan can be obtained, the incentive resources are allocated to each user terminal according to the plan execution result, the assessment result of each doctor terminal is determined according to the plan execution result and the user evaluation, so that the effective utilization of the subsequent information of each health intervention plan is realized, the user of each user terminal can be promoted to more positively execute the health intervention plan and the doctor of each doctor terminal can be promoted to more positively assist the user to execute the health intervention plan, the application effect of the health intervention plan can be optimized, the resource for configuring the health intervention plan is avoided from being wasted, and the resource utilization rate is further promoted.
Next, the above steps of the present exemplary embodiment will be described in more detail.
As an alternative embodiment, further comprising: generating activity invitation information in response to the activity configuration operation; wherein the activity configuration operation is for defining an invitation scope; sending activity invitation information to each user side in the invitation range; each user side is used for responding to the triggering operation aiming at the activity invitation information and continuously monitoring plan execution data, and the plan execution data are used for generating a plan execution result. Therefore, the online healthy intervention activity invitation can be realized, and the user can efficiently acquire the activity invitation information through the user side, so that the activity response efficiency is improved.
Specifically, when an enterprise wants to implement employee health management, a manager may perform an activity configuration operation at the enterprise end, the activity configuration operation being used to configure one or more health promotion activities; wherein the invitation scope defined by the activity configuration operation may include the following parameters: the number of participants, age, gender, user level, user region, affiliated departments, etc. In addition to invitation scope, activity configuration operations may define activity incentives, activity expiration dates, activity names, etc., and embodiments of the present application are not limited.
For example, elderly employees have a high probability of health problems, and thus activities for elderly employees within an enterprise may be configured, where activity configuration operations may define ages (e.g., over 50 years); the research and development departments have a relatively high probability of health problems due to sedentary sitting, so activities for the research and development departments can be configured, and activity configuration operations at the time can limit the departments to which the activities belong.
Further, the enterprise end may generate activity invitation information in response to the activity configuration operation; the activity invitation information may include one or more parameters defined by the activity configuration operation (e.g., activity name, activity incentive), the activity invitation information may also include target information defined by the non-activity configuration operation, which may be generated by the enterprise end based on the parameters defined in the activity invitation information. For different clients, at least one place (e.g., name) of the received activity invitation information may be different, where the client refers to an employee-oriented client, a family-oriented client, or other clients, which are not limited in this embodiment. In this application, there may be a plurality of clients involved.
Further, if the user determines to participate in the activity, a trigger operation may be performed for the user side, and the user side may continuously monitor the plan execution data in response to the trigger operation for the activity invitation information; the program execution data may be stored in a storage space defined for the user terminal, and the program execution data stored in the storage space may gradually rise with the advancement of time. In particular, if there is a user terminal facing the employee family among the user terminals, the plan execution data of the user terminals belonging to the same family may be recorded in the same storage space.
Because the doctor side needs to monitor the plan execution condition, the doctor side has the ability of accessing the plan execution data. In particular, the doctor only has the scheduled execution data access capability of the responsible user or users, and the doctor does not have the scheduled execution data access capability for the non-responsible users.
When the end of the activity is detected, the accumulated plan execution data in the same storage space can be summarized and analyzed to generate a plan execution result; wherein the planned execution results may be used to characterize the performance of the activity from at least one dimension, such as number of consecutive adherence days, percentage of planned completion, and the like.
As an alternative embodiment, wherein: and each doctor side is used for carrying out data interaction with the corresponding user side so as to determine the health condition data of the corresponding user side, and generating a health intervention plan according to the corresponding health condition data. Therefore, personalized health intervention plans can be obtained, and the personalized health intervention plans can be generated to be beneficial to purposefully improving the health condition of the users of each user side in consideration of the difference of the health conditions of the users of different user sides.
Specifically, the number of doctor terminals may be one or more, and the number of user terminals corresponding to/responsible for each doctor terminal may be one or more. For example, if there are multiple clients and only consistency problems (e.g., obesity problems), the doctor can monitor the planned execution data of the multiple clients at the same time to save medical resources.
When the doctor side needs to generate the health intervention plan, a data acquisition request may be sent to the corresponding user side, where the data acquisition request may be implemented as a form to be filled, a list to be filled, and the like, which is not limited in the embodiment of the present application. Furthermore, the user terminal may obtain health condition data required by the data acquisition request in response to the user filling operation and/or the automatic data reading function, where the health condition data may include, but is not limited to: gender, age, height, weight, exercise capacity, past medical history, exercise preference, etc. The health condition data can be filled by a user or can be obtained by reading a physical examination report, a measurement evaluation table and a consultation record through an automatic data reading function. For example, the automatic data reading function is used to read basic information as shown in fig. 2 from the physical examination report, and the basic information may include the following fields: sex, date of birth, height, weight, exercise capacity, etc.
In addition, the user side may also actively initiate a data acquisition request to the doctor side, and the manner of initiating the data acquisition request may refer to fig. 3, in the user side interface shown in fig. 3, the user may trigger the video inquiry control 330 and/or the image-text inquiry control 340 in the my family doctor area 300 to establish a communication connection with the doctor side, that is, initiate the data acquisition request, and further, the user side may provide health condition data to the doctor side through the communication connection. In addition, the "my family doctor area" 300 may also include, but is not limited to: doctor head 310 of "king doctor", doctor information display area 320.
Furthermore, the doctor side generates a health intervention plan for health condition data corresponding to the same user side, wherein the health intervention plan is used for providing a scheme for improving health conditions, the health intervention plan can comprise a plurality of tasks to be completed and configuration items of each task to be completed, and the configuration items can be task types, task total number, task pushing period, return visit plan and return visit mode. Specifically, the doctor may configure at least one task in the health intervention plan and configuration items in the task based on the doctor-side interface shown in fig. 4, for example, the health intervention plan includes: task 1, and configuration items 411, 412, 413 corresponding to task 1; task 2, and configuration items 421, 422, 423 corresponding to task 2; task 3, and configuration items 431, 432, 433 corresponding to task 3.
The tasks to be completed may be staged tasks (e.g., taking medicine a 1 week-2 weeks, taking medicine a 2 weeks-3 weeks, taking medicine a 3 weeks-4 weeks) or parallel tasks (e.g., aerobic exercise 30 minutes per day+anaerobic exercise 20 minutes per day), which are not limited in this embodiment. In addition, the task type of the task to be completed may be a video task (e.g., a exercise follow-up task), a text task (e.g., a quick question-answer task regarding disease a), a voice task (e.g., a vocal cord rehabilitation task), etc., and the embodiments of the present application are not limited.
Furthermore, the doctor side can push the health intervention plan to the enterprise side for storage, and push the health intervention plan to the user side for confirmation. After the user side confirms the health intervention plan, specific contents of the health intervention plan may be displayed in the user side.
The user side may respond to the triggering operation for any task in the health intervention plan, and further display a user side interface corresponding to the task, for example, the user side interface of the task may be a user side graphic interface shown in fig. 5, in the interface shown in fig. 5, the user may learn graphic information corresponding to the task, and the graphic information may include, for example: the text 511 and first step graphic 512 of the first step of the aerobic exercise course, the text 521 and second step graphic 522 of the second step of the aerobic exercise course, the text 531 and third step graphic 532 of the third step of the aerobic exercise course. For example, the user interface of the task may also be the user video interface shown in fig. 6, and the user may follow the follow-up video shown in fig. 6 to perform exercise/rehabilitation.
For the user's end, the planned execution data may be acquired and the completion progress of the healthy intervention plan updated in response to a task trigger operation for the healthy intervention plan, which may characterize the completion of at least one task, e.g., an aerobic operation (AI identification: action standard/action non-standard/…) completed for 30 minutes. The user may know the completion progress of the health intervention plan through the user side, for example, the health intervention plan that the user side may display for the user may be as shown in fig. 7, and in fig. 7, the user may know the following information: days of execution, degree of completion of the plan, number of achievement, heat consumed today, and mood today. In addition, the user may also trigger the one-measurement control 710 to enable the user terminal to establish a connection with an external device (e.g., a wearable sphygmomanometer, an electronic weight scale, an electronic blood glucose meter, etc.) to measure the physical sign parameter. After the health intervention plan is completed, the user may also fill in the assessment input area 800 with assessments of the health intervention plan and/or physician's end via a user-side interface as shown in FIG. 8.
As an alternative embodiment, further comprising: responding to the out-of-plan requirements reported by target doctor terminals in each doctor terminal according to the staged plan execution data, and evaluating the necessity of the out-of-plan requirements based on the target user terminals corresponding to the plan execution data; if the necessity of the unplanned requirement meets the preset condition and the resource consumption value corresponding to the unplanned requirement is smaller than the appointed consumption value, the health intervention plan of the target user side is adjusted according to the unplanned requirement, and a new health intervention plan is obtained; pushing the new health intervention plan to the target user side. Therefore, the effectiveness of the healthy intervention plan can be improved through monitoring of plan execution data by a doctor end and personalized reporting of the unplanned requirements.
Specifically, the target doctor end refers to any doctor end of each doctor end, the target doctor end can continuously acquire plan execution data corresponding to the corresponding user end, and the plan execution data can be acquired from the user end or uploaded after offline revisions of doctors at the doctor end. In order to keep a high matching degree between the health intervention plan and the user side at any time, the doctor side can determine an unplanned requirement based on staged plan execution data (e.g. from the start of the plan to the current plan execution data), i.e. the doctor side can determine the unplanned requirement (e.g. increasing aerobic exercise for 60 minutes) according to the execution condition of the health intervention plan (e.g. the user takes 1000 calories for 30 minutes each day and maintains the weight after 10 days), and the unplanned requirement can be used for canceling one or more tasks in the health intervention plan or increasing other tasks in the health intervention plan.
Further, based on user information (e.g., age 30, asthma) of the target user side corresponding to the planned execution data, the necessity of the unplanned demand is evaluated; an important basis for the assessment of necessity is, among other things, whether there is a health risk (e.g. death) between the unplanned demands (e.g. an additional 60 minutes of aerobic exercise) and the user information (e.g. asthma). If there is a health risk, the necessity of the unplanned demand does not satisfy a preset condition, where the preset condition is used to ensure the basic physiological demand of the user (for example, the preset condition can bear the exercise of 60 minutes per day at the maximum), and the preset condition can be configured individually or by default at the user side.
In addition, it is further required to determine a resource consumption value (e.g., resource consumption value=120 yuan) corresponding to the unplanned requirement, determine a specified consumption value (e.g., 1000 yuan) according to the total resource value (e.g., 6000 yuan) and the consumed value (e.g., 5000 yuan), and if the necessity of the unplanned requirement meets the preset condition and the resource consumption value corresponding to the unplanned requirement is smaller than the specified consumption value, the enterprise/doctor end adjusts the health intervention plan of the target user end according to the unplanned requirement, so as to obtain a new health intervention plan, and pushes the new health intervention plan to the target user end, where the target user end is used for applying the new health intervention plan.
In addition, optionally, if the necessity of the unplanned demand satisfies the preset condition, but the resource consumption value corresponding to the unplanned demand is greater than the specified consumption value, a manual audit request is generated according to the unplanned demand, and the manual audit request is used for requesting approval of the resource consumption value corresponding to the unplanned demand.
In step S110, a plan execution result and a user evaluation corresponding to each health intervention plan are acquired.
In particular, each health intervention plan corresponds to a different user side, respectively, and user ratings may be used to assess the rationality of the health intervention plan and the level of service of the corresponding physician side.
As an alternative embodiment, further comprising: counting plan execution results corresponding to each health intervention plan into a data analysis table; detecting a specific field containing an abnormal value in the data analysis table; a plan optimization suggestion is generated based on the particular field. Therefore, the plan execution results corresponding to the healthy intervention plans can be automatically analyzed, plan optimization suggestions are provided, manual analysis of the plan execution results is not needed, and analysis efficiency of the plan execution results can be improved.
Specifically, the fields of the data analysis table include, but are not limited to: task name, task progress, task delay times, and task completion efficiency. If the number of values corresponding to the fields is smaller than the preset number, or if at least N (e.g., 3) values (e.g., 20%, 0%) exist in the values corresponding to the fields (e.g., task progress) and are smaller than a preset threshold (e.g., 80%), such fields are determined to be specific fields containing abnormal values, and further, a plan optimization suggestion (e.g., execution willingness of the X task is low and can be removed) can be generated according to the specific fields, and the plan optimization suggestion can be used to improve the execution efficiency of the health intervention plan. The fields of the data analysis table can be set arbitrarily according to actual requirements.
In step S120, based on the plan execution result, the user ends corresponding to the health intervention plans are ranked to obtain a first ranking result, and excitation resources are allocated to the user ends according to the first ranking result.
Specifically, the first sorting result may rank the identifiers of the user end from large to small/from small to large.
Based on the plan execution result, the user ends corresponding to the health intervention plans are ranked to obtain a first ranking result, which comprises the following steps: the method comprises the steps of carrying out data processing on each plan execution result to obtain an evaluation value corresponding to each plan execution result, arranging the evaluation values from large to small/from small to large to obtain a first sorting result, starting from the maximum evaluation value in the first sorting result, distributing excitation resources to each user terminal, wherein the value (e.g. 1000 yuan) of the excitation resources is positively correlated with the evaluation value, namely, the larger the evaluation value is, the higher the value of the excitation resources is.
As an optional embodiment, based on the plan execution result, sorting the user ends corresponding to the health intervention plans respectively to obtain a first sorting result, including: obtaining doctor evaluation corresponding to each plan execution result; and sequencing the user ends respectively corresponding to the healthy intervention plans based on the plan execution result and the doctor evaluation to obtain a first sequencing result. Therefore, the doctor evaluation can also be used as a final sequencing basis, so that the user can be promoted to actively cooperate with the doctor to complete the healthy intervention plan, and the physical health condition of the user is improved.
Specifically, the doctor evaluation is used for evaluating the product degree and the coordination degree of the user, and based on the plan execution result and the doctor evaluation, the method for sorting the user ends respectively corresponding to the health intervention plans to obtain the first sorting result is as follows: the plan execution result and the doctor evaluation are subjected to data processing, then weighted sum is obtained, the evaluation value corresponding to each health intervention plan is obtained, and the evaluation values are arranged from big to small/from small to big to obtain a first sorting result.
In step S130, based on the plan execution result and the user evaluation, the doctor terminals corresponding to the health intervention plans are ranked to obtain a second ranking result, and the assessment result of each doctor terminal is determined according to the second ranking result.
In particular, the second ranking result may rank the identity of the doctor's end from large to small/from small to large. The assessment results of each doctor can be characterized as multi-dimensional evaluation information (such as patience, specialty, timeliness, etc.).
As an optional embodiment, based on the plan execution result and the user evaluation, ranking the doctor ends respectively corresponding to the health intervention plans to obtain a second ranking result, including: normalizing the plan execution result to a first parameter, and normalizing the user evaluation to a second parameter; and sequencing the doctor ends respectively corresponding to the health intervention plans based on the weighted sum of the first parameter and the second parameter so as to obtain a second sequencing result. Therefore, the doctor ends can be ranked based on the plan execution result and the user evaluation, so that the doctor ends are reversely selected based on the ranking result, and the aim of promoting the application effect of the healthy intervention plan is achieved.
Specifically, the plan execution result is normalized to a first parameter based on a first normalization lookup table, and the user evaluation is normalized to a second parameter based on a second normalization lookup table, wherein the first and second normalization lookup tables characterize different types of normalization methods. After calculating the weighted sum of the first parameter and the second parameter, each weighted sum may be ranked to obtain a second ranking result, which may also represent ranking results of each doctor end. Wherein, the higher the service quality, the larger the weighted sum corresponding to the doctor end.
As an alternative embodiment, further comprising: screening each doctor end according to the assessment result of each doctor end to obtain a target doctor end; wherein the target doctor end is used for participating in the next round of healthy intervention plan. Therefore, the doctor terminal can be screened based on the examination results of the doctor terminals, more proper doctor terminals can be screened through multiple rounds of health intervention plans, and the application effect of the health intervention plans is further promoted.
Specifically, one or more target doctor terminals may be selected according to the examination result of each doctor terminal, where the target doctor terminal at least corresponds to a preset field (e.g., "whether specialized", "whether timely").
Referring to fig. 9, fig. 9 schematically illustrates an architecture diagram of an information processing system according to one embodiment of the present application. As shown in fig. 9, the information processing system 900 may include: doctor side 901, user side 902, enterprise side 903, wherein:
each doctor end 901 is configured to send a plan execution result corresponding to the health intervention plan to the enterprise end 903;
each user terminal 902 is configured to send user evaluation corresponding to the health intervention plan to the enterprise terminal 903;
the enterprise terminal 903 is configured to sort the user terminals 902 corresponding to the health intervention plans respectively based on the plan execution result, so as to obtain a first sorting result, and allocate excitation resources to each user terminal 902 according to the first sorting result; based on the plan execution result and the user evaluation, ranking the doctor ends 901 respectively corresponding to each health intervention plan to obtain a second ranking result, and determining the assessment result of each doctor end 901 according to the second ranking result.
Therefore, by implementing the system shown in fig. 9, the plan execution result and the user evaluation corresponding to each health intervention plan can be obtained, and the incentive resources are allocated to each user terminal according to the plan execution result, and the assessment result of each doctor terminal is determined according to the plan execution result and the user evaluation, so that the effective utilization of the subsequent information of each health intervention plan is realized, and by allocating the incentive resources to each user terminal and determining the assessment result of each doctor terminal, the user of each user terminal can be promoted to execute the health intervention plan more actively, and the doctor of each doctor terminal can be promoted to assist the user to execute the health intervention plan more actively, so that the application effect of the health intervention plan can be optimized, the waste of resources for configuring the health intervention plan can be avoided, and the resource utilization rate can be promoted.
Referring to fig. 10, fig. 10 schematically illustrates a sequence diagram of an information handling system according to one embodiment of the present application. As shown in fig. 10, in an embodiment, the enterprise terminal may be implemented as an operator terminal and a personnel terminal, respectively, and the sequence chart may include: step S1010 to step S1040.
Step S1010: the personnel terminal responds to the activity configuration operation to generate activity invitation information; wherein the activity configuration operation is used to define the invitation scope.
Step S1012: the person terminal sends the activity invitation information to each user terminal in the invitation range.
Step S1014: the doctor side performs data interaction with the corresponding user side to determine health condition data of the corresponding user side, generates a health intervention plan according to the corresponding health condition data, and pushes the health intervention plan to the user side.
Step S1016: the user side continuously monitors plan execution data in response to the triggering operation and the healthy intervention plan for the activity invitation information, and the plan execution data is used for generating a plan execution result.
Step S1018: the user sends plan execution data to the doctor.
Step S1020: and the doctor end reports the unplanned requirements to the personnel end according to the staged plan execution data.
Step S1022: and the operation end evaluates the necessity of the unplanned demand based on the target user end corresponding to the plan execution data.
Step S1024: if the necessity of the unplanned requirement meets the preset condition and the resource consumption value corresponding to the unplanned requirement is smaller than the designated consumption value, the operation end sends a manual auditing request to the personnel end.
Step S1026: and the human end responds to the triggering operation of characterizing the agreement aiming at the manual auditing request and sends forward feedback to the doctor end.
Step S1028: if the necessity of the unplanned requirement meets the preset condition and the corresponding resource consumption value of the unplanned requirement is smaller than the designated consumption value, the operation end sends forward feedback to the doctor end.
Step S1030: and the doctor terminal adjusts the health intervention plan of the target user terminal according to the unplanned requirement to obtain a new health intervention plan.
Step S1032: the doctor side pushes the new health intervention plan to the user side.
Step S1034: and the human end obtains the plan execution result and doctor evaluation corresponding to each health intervention plan from the user end and the doctor end.
Step S1036: and the operation terminal acquires plan execution results and user evaluation corresponding to each health intervention plan from the user terminal.
Step S1038: the human end sequences the user ends corresponding to the health intervention plans respectively based on the plan execution result and the doctor evaluation to obtain a first sequencing result, and allocates excitation resources to the user ends according to the first sequencing result.
Step S1040: the operation end sorts the doctor ends respectively corresponding to the healthy intervention plans based on the plan execution result and the user evaluation to obtain a second sorting result, and determines the assessment result of each doctor end according to the second sorting result; screening each doctor end according to the assessment result of each doctor end to obtain a target doctor end; wherein the target doctor end is used for participating in the next round of healthy intervention plan.
It should be noted that, the steps S1010 to S1040 correspond to the steps and embodiments shown in fig. 1, and for the specific implementation of the steps S1010 to S1040, please refer to the steps and embodiments shown in fig. 1, and the details are not repeated here.
As can be seen, implementing the system shown in fig. 10 may obtain the plan execution result and the user evaluation corresponding to each health intervention plan, and allocate an incentive resource to each user terminal according to the plan execution result, and determine the assessment result of each doctor terminal according to the plan execution result and the user evaluation, so as to effectively utilize the subsequent information of each health intervention plan, and by allocating the incentive resource to each user terminal and determining the assessment result of each doctor terminal, it may be possible to promote the user of each user terminal to more actively execute the health intervention plan and promote the doctor of each doctor terminal to more actively assist the user to execute the health intervention plan, which may be beneficial to optimizing the application effect of the health intervention plan, and avoid wasting the resources for configuring the health intervention plan, and further be beneficial to improving the resource utilization rate.
Referring to fig. 11, fig. 11 schematically shows a block diagram of the information processing apparatus according to an embodiment of the present application. As shown in fig. 11, the information processing apparatus 1100 may include the following units.
An information acquisition unit 1101, configured to acquire a plan execution result and a user evaluation corresponding to each health intervention plan;
the excitation resource allocation unit 1102 is configured to sort the user ends corresponding to the health intervention plans respectively based on the plan execution result to obtain a first sorting result, and allocate excitation resources to the user ends according to the first sorting result;
the assessment result determining unit 1103 is configured to sort doctor ends respectively corresponding to each health intervention plan based on the plan execution result and the user evaluation, so as to obtain a second sorting result, and determine an assessment result of each doctor end according to the second sorting result.
Therefore, the device shown in fig. 11 is implemented, the plan execution result and the user evaluation corresponding to each health intervention plan can be obtained, the incentive resources are allocated to each user terminal according to the plan execution result, the assessment result of each doctor terminal is determined according to the plan execution result and the user evaluation, so that the effective utilization of the subsequent information of each health intervention plan is realized, the user of each user terminal can be promoted to execute the health intervention plan more actively, the doctor of each doctor terminal can be promoted to assist the user to execute the health intervention plan more actively, the application effect of the health intervention plan can be optimized, the resource for configuring the health intervention plan is avoided from being wasted, and the resource utilization rate can be promoted.
As an alternative embodiment, further comprising:
an information generating unit for generating activity invitation information in response to an activity configuration operation; wherein the activity configuration operation is for defining an invitation scope;
an information sending unit, configured to send activity invitation information to each user end in the invitation range; each user side is used for responding to the triggering operation aiming at the activity invitation information and continuously monitoring plan execution data, and the plan execution data are used for generating a plan execution result.
Therefore, by implementing the alternative embodiment, the online healthy intervention activity invitation can be realized, and the user can efficiently acquire the activity invitation information through the user side, so that the activity response efficiency is improved.
As an alternative embodiment, further comprising:
the demand response unit is used for responding to the unplanned demand reported by the target doctor end in each doctor end according to the staged plan execution data, and evaluating the necessity of the unplanned demand based on the target user end corresponding to the plan execution data; if the necessity of the unplanned requirement meets the preset condition and the resource consumption value corresponding to the unplanned requirement is smaller than the appointed consumption value, the health intervention plan of the target user side is adjusted according to the unplanned requirement, and a new health intervention plan is obtained;
And the pushing unit is used for pushing the new health intervention plan to the target user side.
It can be seen that by implementing this alternative embodiment, the effectiveness of the health intervention plan can be improved by monitoring the planned execution data at the doctor's end and personalizing the reported unplanned requirements.
As an alternative embodiment, wherein:
and each doctor side is used for carrying out data interaction with the corresponding user side so as to determine the health condition data of the corresponding user side, and generating a health intervention plan according to the corresponding health condition data.
It can be seen that, by implementing the alternative embodiment, a personalized health intervention plan can be obtained, and in consideration of the difference of health conditions of users of different user terminals, generating the personalized health intervention plan can be beneficial to improving the health condition of the user of each user terminal in a targeted manner.
As an alternative embodiment, further comprising:
the statistical analysis unit is used for counting the plan execution results corresponding to each health intervention plan into the data analysis table; detecting a specific field containing an abnormal value in the data analysis table; a plan optimization suggestion is generated based on the particular field.
Therefore, by implementing the alternative embodiment, the plan execution results corresponding to each healthy intervention plan can be automatically analyzed and the plan optimization suggestion can be provided, and the analysis efficiency of the plan execution results can be improved without manually analyzing each plan execution result.
As an optional embodiment, the incentive resource allocation unit 1102 sorts the user ends corresponding to the health intervention plans respectively based on the plan execution result to obtain a first sorting result, which includes:
obtaining doctor evaluation corresponding to each plan execution result;
and sequencing the user ends respectively corresponding to the healthy intervention plans based on the plan execution result and the doctor evaluation to obtain a first sequencing result.
It can be seen that, by implementing this alternative embodiment, the doctor's evaluation can also be used as the final ranking basis, so that the user can be promoted to actively cooperate with the doctor to complete the health intervention plan, so as to improve the physical health condition of the user.
As an optional embodiment, the assessment result determining unit 1103 ranks doctor ends respectively corresponding to each health intervention plan based on the plan execution result and the user evaluation to obtain a second ranked result, including:
normalizing the plan execution result to a first parameter, and normalizing the user evaluation to a second parameter;
and sequencing the doctor ends respectively corresponding to the health intervention plans based on the weighted sum of the first parameter and the second parameter so as to obtain a second sequencing result.
It will be seen that this alternative embodiment is implemented such that the doctor's side may be ranked based on the results of the planning execution and the user's evaluation, so that the doctor's side is reselected based on the ranking results, for the purpose of promoting the health intervention planning application.
As an alternative embodiment, further comprising:
the doctor terminal screening unit is used for screening each doctor terminal according to the examination result of each doctor terminal to obtain a target doctor terminal; wherein the target doctor end is used for participating in the next round of healthy intervention plan.
Therefore, by implementing the alternative embodiment, doctor ends can be screened based on the examination results of all doctor ends, more proper doctor ends can be screened through multiple rounds of health intervention plans, and the application effect of the health intervention plans is further promoted.
It should be noted that although in the above detailed description several modules or units of a device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functions of two or more modules or units described above may be embodied in one module or unit, in accordance with embodiments of the present application. Conversely, the features and functions of one module or unit described above may be further divided into a plurality of modules or units to be embodied.
Since each functional module of the information processing apparatus according to the exemplary embodiment of the present application corresponds to a step of the exemplary embodiment of the information processing method described above, for details not disclosed in the apparatus embodiment of the present application, please refer to the embodiment of the information processing method described above.
Referring to fig. 12, fig. 12 shows a schematic diagram of a computer system suitable for use in implementing the electronic device of the embodiments of the present application.
It should be noted that, the computer system 1200 of the electronic device shown in fig. 12 is only an example, and should not impose any limitation on the functions and the application scope of the embodiments of the present application.
As shown in fig. 12, the computer system 1200 includes a Central Processing Unit (CPU) 1201, which can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 1202 or a program loaded from a storage section 1208 into a Random Access Memory (RAM) 1203. In the RAM 1203, various programs and data required for the system operation are also stored. The CPU 1201, ROM 1202, and RAM 1203 are connected to each other through a bus 1204. An input/output (I/O) interface 1205 is also connected to the bus 1204.
The following components are connected to the I/O interface 1205: an input section 1206 including a keyboard, a mouse, and the like; an output portion 1207 including a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, a speaker, and the like; a storage section 1208 including a hard disk or the like; and a communication section 1209 including a network interface card such as a LAN card, a modem, or the like. The communication section 1209 performs communication processing via a network such as the internet. The drive 1210 is also connected to the I/O interface 1205 as needed. A removable medium 1211 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is installed as needed on the drive 1210 so that a computer program read out therefrom is installed into the storage section 1208 as needed.
In particular, according to embodiments of the present application, the processes described below with reference to flowcharts may be implemented as computer software programs. For example, embodiments of the present application include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method shown in the flowcharts. In such an embodiment, the computer program can be downloaded and installed from a network via the communication portion 1209, and/or installed from the removable media 1211. The computer program, when executed by a Central Processing Unit (CPU) 1201, performs the various functions defined in the methods and apparatus of the present application.
As another aspect, the present application also provides a computer-readable medium that may be contained in the electronic device described in the above embodiment; or may exist alone without being incorporated into the electronic device. The computer-readable medium carries one or more programs which, when executed by one of the electronic devices, cause the electronic device to implement the methods of the above-described embodiments.
It should be noted that the computer readable medium shown in the present application may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present application, however, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, with computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units involved in the embodiments of the present application may be implemented by means of software, or may be implemented by means of hardware, and the described units may also be provided in a processor. Wherein the names of the units do not constitute a limitation of the units themselves in some cases.
Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the application following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the application pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.
Claims (10)
1. An information processing method, characterized by comprising:
obtaining plan execution results and user evaluation corresponding to each health intervention plan;
based on the plan execution result, sequencing the user terminals respectively corresponding to the healthy intervention plans to obtain a first sequencing result, and distributing excitation resources for the user terminals according to the first sequencing result;
and sequencing the doctor terminals respectively corresponding to the healthy intervention plans based on the plan execution result and the user evaluation to obtain a second sequencing result, and determining the assessment result of each doctor terminal according to the second sequencing result.
2. The method as recited in claim 1, further comprising:
Generating activity invitation information in response to the activity configuration operation; wherein the activity configuration is operative to define an invitation scope;
sending the activity invitation information to each user side in the invitation range; and each user side is used for responding to the triggering operation aiming at the activity invitation information and continuously monitoring plan execution data, wherein the plan execution data are used for generating the plan execution result.
3. The method as recited in claim 1, further comprising:
responding to an unplanned demand reported by a target doctor end in each doctor end according to a staged plan execution data, and evaluating the necessity of the unplanned demand based on a target user end corresponding to the plan execution data;
if the necessity of the unplanned demand meets a preset condition and the resource consumption value corresponding to the unplanned demand is smaller than the appointed consumption value, regulating the health intervention plan of the target user side according to the unplanned demand to obtain a new health intervention plan;
pushing the new health intervention plan to the target user side.
4. The method according to claim 1, wherein:
And each doctor side is used for carrying out data interaction with the corresponding user side so as to determine the health condition data of the corresponding user side and generating a health intervention plan according to the corresponding health condition data.
5. The method as recited in claim 1, further comprising:
counting the plan execution results corresponding to the health intervention plans into a data analysis table;
detecting a specific field containing an outlier in the data analysis table;
generating a plan optimization suggestion according to the specific field.
6. The method of claim 1, wherein ranking the respective corresponding clients of each health intervention plan based on the plan execution results to obtain a first ranking result comprises:
obtaining doctor evaluation corresponding to each plan execution result;
and sequencing the user ends respectively corresponding to the healthy intervention plans based on the plan execution result and the doctor evaluation to obtain a first sequencing result.
7. The method of claim 6, wherein ranking the doctor side for each of the health intervention plans based on the plan execution results and the user evaluation to obtain a second ranking result comprises:
Normalizing the plan execution result to a first parameter, and normalizing the user evaluation to a second parameter;
and sequencing the doctor ends respectively corresponding to the health intervention plans based on the weighted sum of the first parameter and the second parameter so as to obtain a second sequencing result.
8. An information processing system, comprising: doctor end, user end, enterprise end, wherein:
each doctor end is used for sending a plan execution result corresponding to the health intervention plan to the enterprise end;
each user terminal is used for sending user evaluation corresponding to the health intervention plan to the enterprise terminal;
the enterprise terminal is used for sequencing the user terminals corresponding to the health intervention plans respectively based on the plan execution result to obtain a first sequencing result, and distributing excitation resources to the user terminals according to the first sequencing result; and sequencing the doctor terminals respectively corresponding to the healthy intervention plans based on the plan execution result and the user evaluation to obtain a second sequencing result, and determining the assessment result of each doctor terminal according to the second sequencing result.
9. An information processing apparatus, characterized by comprising:
The information acquisition unit is used for acquiring plan execution results and user evaluation corresponding to each health intervention plan;
the excitation resource allocation unit is used for sequencing the user terminals respectively corresponding to the healthy intervention plans based on the plan execution result to obtain a first sequencing result, and allocating excitation resources to the user terminals according to the first sequencing result;
and the assessment result determining unit is used for sequencing the doctor ends respectively corresponding to the healthy intervention plans based on the plan execution result and the user evaluation to obtain a second sequencing result, and determining the assessment result of each doctor end according to the second sequencing result.
10. An electronic device, comprising:
a processor; and
a memory for storing executable instructions of the processor;
wherein the processor is configured to perform the method of any of claims 1-7 via execution of the executable instructions.
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