A follow-up management system and method

Abstract

The application discloses a follow-up management system and method, which comprises an information management module, a label management module, a follow-up scheme generation module and a follow-up task management module. The follow-up target person's unstructured multi-source information is converted into structured label information, the personalized follow-up scheme is generated according to the label information, the follow-up task is automatically batch-generated and executed according to the follow-up scheme, the follow-up operation personnel is liberated from the tedious scheduling and notification work, the follow-up efficiency is improved, the personalized, scaled and refined patient follow-up management is realized, and meanwhile, the personalized follow-up scheme generation and the automatic follow-up task execution ensure that different follow-up target persons can obtain the same quality and standardized follow-up service under the same management path.

Description

Technical Field

[0001] This invention relates to the field of medical information management technology, and in particular to a follow-up management system and method. Background Technology

[0002] In scenarios such as chronic disease management, medication reminders, and serious illness rehabilitation, continuous and effective patient outreach is crucial for assessing prognosis, improving medication adherence, and preventing complications. Currently common follow-up strategies (such as phone calls, SMS messages, and app reminders) have significant technical shortcomings, as follows: The existing systems suffer from several drawbacks. First, they lack personalization. Most provide standardized follow-up templates, failing to achieve refined patient classification. Second, they lack process automation. Follow-up tasks require manual creation and allocation. Operations staff must first screen target patients from medical records and then manually set reminders and other strategies, making the entire process cumbersome, inefficient, and unsuitable for large-scale populations. Third, they lack data-driven approaches. Systems typically focus on executing follow-up tasks, lacking in-depth analysis and application of multidimensional patient data. Key information such as changes in medication, disease progression, and recent test results cannot be identified or used to trigger adjustments to follow-up strategies. Fourth, they lack system flexibility. Modifications to follow-up plans and content often involve changes to underlying code, resulting in long response and update cycles that cannot meet the rapidly changing needs of clinical operations.

[0003] Therefore, there is a need for a follow-up management system that can transform patient data into visual, accessible, and data-driven insights, and intelligently execute personalized follow-up processes. Summary of the Invention

[0004] This invention provides a follow-up management system and method to achieve personalized and automated follow-up management processes.

[0005] In a first aspect, embodiments of the present invention provide a follow-up management system, which includes an information management module, a tag management module, a follow-up plan generation module, and a follow-up task management module; wherein... The information management module is used to determine multi-source information of the target personnel for follow-up. The tag management module is used to tag the target personnel for follow-up based on the multi-source information and determine the tag information of the target personnel for follow-up. The follow-up plan generation module is used to determine the follow-up plan for the target personnel based on tag information, a preset follow-up plan template, and a preset knowledge base. The preset follow-up plan template is associated with at least one tag. The preset knowledge base includes a follow-up answer library, a follow-up knowledge base, and a follow-up message reminder library. The follow-up plan includes a follow-up time plan and follow-up content. The follow-up task management module is used to generate at least one follow-up task in batches according to the follow-up plan, execute the follow-up task, and collect follow-up data fed back by the target personnel. The follow-up task includes the follow-up execution time, the target personnel, and the follow-up content.

[0006] Secondly, embodiments of the present invention also provide a follow-up management method, the method comprising: Identify multi-source information on the target individuals for follow-up; The target individuals for follow-up are tagged based on the multi-source information to determine their tag information; Based on the tag information, the preset follow-up plan template, and the preset knowledge base, a follow-up plan for the target personnel is determined. The preset follow-up plan template is associated with at least one tag information. The follow-up plan includes a follow-up time schedule and follow-up content. At least one follow-up task is generated in batches according to the follow-up plan. The follow-up task is executed and follow-up data fed back by the target personnel is collected. The follow-up task includes the follow-up execution time, the target personnel, and the follow-up content.

[0007] This invention discloses a follow-up management system, comprising an information management module, a tag management module, a follow-up plan generation module, and a follow-up task management module. The information management module is used to determine multi-source information about the target individuals for follow-up. The tag management module is used to tag the target individuals based on the multi-source information to determine their tag information. The follow-up plan generation module is used to determine a follow-up plan for the target individuals based on the tag information, a preset follow-up plan template, and a preset knowledge base. The preset follow-up plan template is associated with at least one tag. The preset knowledge base includes a follow-up response database, a follow-up knowledge base, and a follow-up message reminder database. The follow-up plan includes a follow-up time plan and follow-up content. The follow-up task management module is used to generate at least one follow-up task in batches based on the follow-up plan, execute the follow-up task, and collect follow-up data from the target individuals. The follow-up task includes a follow-up execution time, the target individuals for follow-up, and the follow-up content. The technical solution of this invention transforms unstructured multi-source information of the target personnel into structured tag information, generates personalized follow-up plans based on the tag information, and automatically generates and executes follow-up tasks in batches according to the follow-up plans. This completely liberates follow-up operation personnel from tedious scheduling and notification work, realizing personalized, large-scale, and refined patient follow-up management. At the same time, through the generation of personalized follow-up plans and the automated execution of follow-up tasks, it ensures that different target personnel can obtain the same quality and standardized follow-up services under the same management path.

[0008] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0009] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0010] Figure 1 This is a schematic diagram of the structure of a follow-up management system provided in Embodiment 1 of the present invention; Figure 2 This is a flowchart of a follow-up management method provided in Embodiment 2 of the present invention. Detailed Implementation

[0011] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0012] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0013] Example 1 Figure 1 This is a schematic diagram of the structure of a follow-up management system provided in Embodiment 1 of the present invention. This embodiment is applicable to follow-up management situations, such as... Figure 1 As shown, the follow-up management system 100 includes an information management module 110, a tag management module 120, a follow-up plan generation module 130, and a follow-up task management module 140.

[0014] The information management module 110 is used to determine multi-source information of the target personnel for follow-up.

[0015] In this embodiment, the target group for follow-up is a group or individual related to health management, disease monitoring, and rehabilitation tracking. The target group can be discharged patients, patients with chronic diseases, or special health populations. Discharged patients include postoperative patients, patients recovering from severe illness, and patients in remission of acute exacerbations of chronic diseases. Patients with chronic diseases include those requiring long-term management such as hypertension, diabetes, chronic kidney disease, and COPD. Special health populations include pregnant women, individuals participating in clinical trials of drugs, medical devices, and treatment protocols. By following up with the target group, their postoperative recovery is tracked, their disease control is monitored, or trial data is collected to achieve the goals of preventing complications, guiding rehabilitation training, reminding patients to return for follow-up visits, guiding medication adjustments, intervening in lifestyle, reducing the risk of acute exacerbations, monitoring adverse reactions, and ensuring that subjects adhere to the trial protocol.

[0016] In this embodiment, the multi-source information of the target personnel includes the basic information, medical information and medication information of the target personnel. The basic information includes age and gender, the medical information includes the number of medical visits, the department of medical treatment and the time of medical treatment, and the medication information includes the name of the drug, the scope of drug treatment, the start time of medication and the duration of medication.

[0017] It should be noted that multi-source information can also include insurance information and historical follow-up data of the target personnel. In practical applications, it can be integrated with the medical system and the insurance company's micro-system through internal interfaces to automatically synchronize the multi-source information of the target personnel and form a unified standard database of the target personnel for follow-up management.

[0018] The tag management module 120 is used to tag the target personnel for follow-up based on the multi-source information and determine the tag information of the target personnel for follow-up.

[0019] In this embodiment, the tag information is a tag determined based on multi-source information of the target personnel being followed up. The tag information can be represented by one tag or composed of multiple tags.

[0020] In practical applications, predefined labeling rules can be used to classify multi-source information of the follow-up target individuals in batches and automatically complete dynamic labeling. The predefined labeling rules are predefined rule logics. For example, if the follow-up target individual's "age ≥ 65 years old" can be automatically labeled as "elderly", if "medication duration ≥ 10 years" can be automatically labeled as "long-term medication", if the number of medical visits ≥ 5 times can be automatically labeled as "frequent medical visits", and if the medical department is "cardiovascular department", it can be automatically labeled as "cardiovascular", etc.

[0021] As an optional but not limited implementation, the tag management module 120 is specifically used for: Based on the basic information provided, determine the primary label of the target individuals for follow-up. Based on the medical information, a second label is determined for the target individuals for follow-up. Based on the medication information, a third label is determined for the target individuals to be followed up; Based on the first label, the second label, and the third label, determine the label information of the target personnel for follow-up.

[0022] In this embodiment, the first label is a label for the basic information of the target person being followed up, the second label is a label for the medical treatment information of the target person being followed up, and the third label is a label for the medication information of the target person being followed up.

[0023] It should be noted that the first, second, and third labels may each contain multiple labels. For example, the first label may include age and gender labels, the second label may include the number of medical visits, the department visited, and the time of medical visits, and the third label may include the name of the drug, the scope of treatment of the drug, the start time of medication, and the duration of medication, etc.

[0024] In practical applications, similar to defining preset labeling rules, the first label of the follow-up target person is determined based on basic information, the second label is determined based on medical information, and the third label is determined based on medication information. The first, second, and third labels together constitute the label information of the follow-up target person. The unstructured multi-source information of the follow-up target person is transformed into structured label information, forming a personalized labeling process for the follow-up target person, so that each follow-up target person can be represented and classified by structured label information.

[0025] In practical applications, the target personnel can also be batch-classified based on the tag information, and different tag information can be associated with different follow-up plans, so that the follow-up plans for the target personnel with the same tag information are consistent, and the follow-up process and follow-up plan can be determined quickly.

[0026] The follow-up plan generation module 130 is used to determine the follow-up plan for the target personnel based on the tag information, the preset follow-up plan template, and the preset knowledge base. The preset follow-up plan template is associated with at least one tag information. The preset knowledge base includes a follow-up answer library, a follow-up knowledge base, and a follow-up message reminder library. The follow-up plan includes a follow-up time plan and follow-up content.

[0027] In this embodiment, the preset follow-up plan template is a pre-set template for planning follow-up time. Different preset follow-up plan templates are formed by pre-setting at least two different follow-up intervals, follow-up start times, and follow-up end times. The preset knowledge base includes a follow-up answer base, a follow-up knowledge base, and a follow-up message reminder base. The follow-up answer base contains at least two single-choice questions and multiple-choice questions, the follow-up knowledge base contains at least two follow-up articles, and the follow-up message reminder base contains at least two follow-up messages.

[0028] It should be noted that the preset follow-up plan template can be associated with at least one tag. Different preset follow-up plan templates match different tag information to enable personalized follow-up time planning for each follow-up target person based on the tag information. Furthermore, each question and answer, follow-up article, and follow-up message in the follow-up questionnaire database, follow-up knowledge base, and follow-up message reminder database can be associated with at least one first tag, second tag, or third tag. In practical applications, different follow-up questionnaires, follow-up articles, and follow-up messages can be filtered based on different first tags, second tags, or third tags in the tag information to form follow-up content, which is then sent to the follow-up target person.

[0029] In this embodiment, the structured tag information field enables precise and dynamic matching between the characteristics of the follow-up target and the follow-up plan, so that each follow-up target can obtain follow-up content that is highly relevant to their condition and treatment plan, as well as a reasonable follow-up time plan.

[0030] Optionally, the follow-up plan generation module is specifically used for: Determine the preset follow-up plan template and preset knowledge base; Based on the label information and the preset follow-up plan template, a follow-up time plan is determined, which includes the follow-up interval period, the follow-up start time, and the follow-up end time. Based on the tag information and the preset knowledge base, the follow-up content is determined, including follow-up questionnaires, follow-up articles, and follow-up messages; Based on the aforementioned follow-up schedule and content, a follow-up plan is determined.

[0031] In this embodiment, the follow-up time plan includes the follow-up interval period, the follow-up start time, and the follow-up end time. The follow-up content includes follow-up questionnaires, follow-up articles, and follow-up messages.

[0032] The follow-up interval can be once a day, once a week, once a month, or once every three months, etc. The follow-up start time can be linked to the medical visit time tag in the second tag or the medication start time tag in the third tag in the tag information. The follow-up start time is determined based on the medical visit time or the medication start time. The total follow-up duration, including the follow-up end time and the follow-up start time, can be set to one year, three years, or five years, etc.

[0033] In addition, each question and answer, follow-up article, and follow-up message in the follow-up questionnaire, follow-up knowledge base, and follow-up message reminder database can be associated with at least one first tag, second tag, or third tag. Based on different first tags, second tags, or third tags in the tag information, different follow-up questionnaires, follow-up articles, and follow-up messages can be filtered out and sent to the target follow-up personnel.

[0034] In practical applications, a dedicated knowledge base management module can also be set up in the system to manage the preset follow-up plan templates and preset knowledge bases. For example, a visual operation interface can be configured to allow system administrators to add, delete, modify, and query preset follow-up plan templates and preset knowledge bases, or to bind and associate preset follow-up plan templates and preset knowledge bases with tags, or to allow operations personnel to directly configure the corresponding follow-up interval, follow-up start time, follow-up end time, follow-up questionnaire, follow-up article, and follow-up message for the target personnel.

[0035] The follow-up task management module 140 is used to generate at least one follow-up task in batches according to the follow-up plan, execute the follow-up task and collect follow-up data fed back by the follow-up target personnel. The follow-up task includes follow-up execution time, follow-up target personnel and follow-up content.

[0036] In this embodiment, the follow-up task is an executable task that includes the follow-up execution time, the target personnel for follow-up, and the follow-up content.

[0037] In this embodiment, the follow-up plan includes a follow-up time schedule and follow-up content, specifically including the follow-up interval period, follow-up start time, follow-up end time, follow-up questionnaire, follow-up article, and follow-up message.

[0038] After determining the follow-up plan for the target personnel, which is typically a long-term follow-up plan, i.e., conducting follow-ups with the target personnel at regular intervals, the follow-up task management module in this embodiment can automatically generate a follow-up task queue for the target personnel, which will be executed at regular intervals over a period of time, based on the follow-up plan. The follow-up task queue contains at least two follow-up tasks, and each follow-up task includes the follow-up execution time, the target personnel, and the follow-up content.

[0039] In practical applications, the follow-up task management module can automatically send follow-up questionnaires, articles, or messages to target personnel via a workbench push based on the follow-up execution time nodes of the follow-up task queue, and collect follow-up data feedback from these personnel. Alternatively, the follow-up task management module can also push these tasks to system operations personnel via a workbench push based on the follow-up execution time nodes of the follow-up task queue. The operations personnel can then select and send the follow-up questionnaires, articles, or messages to the target personnel, and collect follow-up data feedback from them.

[0040] Optionally, the follow-up task management module is specifically used for: Based on the follow-up interval, follow-up start time, and follow-up end time, determine the number of follow-up tasks and the follow-up execution time for each follow-up task. The follow-up execution time is associated with the target personnel and follow-up content to generate a number of follow-up tasks. The system automatically executes the corresponding follow-up tasks according to the specified follow-up execution time and receives follow-up data from the target personnel based on the follow-up content.

[0041] In this embodiment, the number of follow-up tasks is the total number of follow-up tasks for a single follow-up target person from the start time to the end time of the follow-up. The number of follow-up tasks is determined by the ratio of the interval between the start time and the end time of the follow-up to the follow-up interval period.

[0042] The follow-up execution time is the execution time of a single follow-up task. The follow-up execution time of the first follow-up task is determined by the follow-up start time, and the follow-up execution time of the next follow-up task is determined by the follow-up execution time of the previous follow-up task and the follow-up interval period.

[0043] In this embodiment, the number of follow-up tasks and the follow-up execution time of each follow-up task can be quickly determined based on the follow-up interval, follow-up start time, and follow-up end time.

[0044] Furthermore, the follow-up execution time is associated with the follow-up target personnel and follow-up content to generate a number of follow-up tasks, and a follow-up task queue is constructed for the follow-up target personnel during the follow-up phase.

[0045] Furthermore, the follow-up task management module can automatically execute the corresponding follow-up tasks according to the follow-up execution time of each follow-up task in the follow-up task queue. For example, if the current system time is obtained and the current system time matches the follow-up execution time, the follow-up task execution will be automatically triggered, and the follow-up content in the follow-up task will be sent to the corresponding follow-up target personnel. The system workbench can also receive follow-up data fed back by the follow-up target personnel based on the follow-up content.

[0046] In this embodiment, the entire process of generating and executing follow-up tasks is automated, completely freeing follow-up operations personnel from tedious scheduling and notification work, and realizing large-scale and refined patient follow-up management. At the same time, through the generation of standardized follow-up plans and the automated execution of follow-up tasks, it is ensured that different follow-up target personnel can obtain the same quality and standardized follow-up services under the same management path.

[0047] This invention discloses a follow-up management system, comprising an information management module, a tag management module, a follow-up plan generation module, and a follow-up task management module. The information management module is used to determine multi-source information about the target individuals for follow-up. The tag management module is used to tag the target individuals based on the multi-source information to determine their tag information. The follow-up plan generation module is used to determine a follow-up plan for the target individuals based on the tag information, a preset follow-up plan template, and a preset knowledge base. The preset follow-up plan template is associated with at least one tag. The preset knowledge base includes a follow-up response database, a follow-up knowledge base, and a follow-up message reminder database. The follow-up plan includes a follow-up time plan and follow-up content. The follow-up task management module is used to generate at least one follow-up task in batches based on the follow-up plan, execute the follow-up task, and collect follow-up data from the target individuals. The follow-up task includes a follow-up execution time, the target individuals for follow-up, and the follow-up content. The technical solution of this invention transforms unstructured multi-source information of the target personnel into structured tag information, generates personalized follow-up plans based on the tag information, and automatically generates and executes follow-up tasks in batches according to the follow-up plans. This completely liberates follow-up operation personnel from tedious scheduling and notification work, realizing personalized, large-scale, and refined patient follow-up management. At the same time, through the generation of personalized follow-up plans and the automated execution of follow-up tasks, it ensures that different target personnel can obtain the same quality and standardized follow-up services under the same management path.

[0048] Example 2 Figure 2 This is a flowchart of a follow-up management method provided in Embodiment 2 of the present invention. Based on the above embodiments, this embodiment provides a follow-up management method, which is applicable to follow-up management situations. Figure 2 As shown, the method includes: S210. Determine multi-source information on the target personnel for follow-up.

[0049] S220. Tag the target personnel for follow-up based on the multi-source information to determine the tag information of the target personnel for follow-up.

[0050] S230. Based on the tag information, the preset follow-up plan template, and the preset knowledge base, determine the follow-up plan for the target personnel. The preset follow-up plan template is associated with at least one tag information. The follow-up plan includes a follow-up time plan and follow-up content. S240. Generate at least one follow-up task in batches according to the follow-up plan, execute the follow-up task and collect follow-up data fed back by the follow-up target personnel. The follow-up task includes follow-up execution time, follow-up target personnel and follow-up content.

[0051] Optionally, the multi-source information includes basic information, medical information, and medication information of the target individuals being followed up. The basic information includes age and gender, the medical information includes the number of medical visits, the department visited, and the time of medical visits, and the medication information includes the drug name, the scope of drug treatment, the start time of medication, and the duration of medication.

[0052] Optionally, the target individuals for follow-up are tagged based on the multi-source information to determine their tag information, including: Based on the basic information provided, determine the primary label of the target individuals for follow-up. Based on the medical information, a second label is determined for the target individuals for follow-up. Based on the medication information, a third label is determined for the target individuals to be followed up; Based on the first label, the second label, and the third label, determine the label information of the target personnel for follow-up.

[0053] Optionally, based on tag information, a preset follow-up plan template, and a preset knowledge base, a follow-up plan for the target personnel is determined, including: Determine the preset follow-up plan template and preset knowledge base; the preset knowledge base includes a follow-up response database, a follow-up knowledge base, and a follow-up message reminder database. Based on the label information and the preset follow-up plan template, a follow-up time plan is determined, which includes the follow-up interval period, the follow-up start time, and the follow-up end time. Based on the tag information and the preset knowledge base, the follow-up content is determined, including follow-up questionnaires, follow-up articles, and follow-up messages; Based on the aforementioned follow-up schedule and content, a follow-up plan is determined.

[0054] Optionally, at least one follow-up task is generated in batches according to the follow-up plan, the follow-up task is executed, and follow-up data fed back by the target personnel is collected, including: Based on the follow-up interval, follow-up start time, and follow-up end time, determine the number of follow-up tasks and the follow-up execution time for each follow-up task. The follow-up execution time is associated with the target personnel and follow-up content to generate a number of follow-up tasks. The system automatically executes the corresponding follow-up tasks according to the specified follow-up execution time and receives follow-up data from the target personnel based on the follow-up content.

[0055] This invention discloses a follow-up management method, the method comprising: determining multi-source information of follow-up target personnel; tagging the follow-up target personnel according to the multi-source information to determine the tag information of the follow-up target personnel; determining a follow-up plan for the follow-up target personnel according to the tag information, a preset follow-up plan template, and a preset knowledge base, wherein the preset follow-up plan template is associated with at least one tag information; the follow-up plan includes a follow-up time plan and follow-up content; generating at least one follow-up task in batches according to the follow-up plan, executing the follow-up task and collecting follow-up data fed back by the follow-up target personnel, wherein the follow-up task includes a follow-up execution time, follow-up target personnel, and follow-up content. The technical solution of this invention transforms unstructured multi-source information of the target personnel into structured tag information, generates personalized follow-up plans based on the tag information, and automatically generates and executes follow-up tasks in batches according to the follow-up plans. This completely liberates follow-up operation personnel from tedious scheduling and notification work, realizing personalized, large-scale, and refined patient follow-up management. At the same time, through the generation of personalized follow-up plans and the automated execution of follow-up tasks, it ensures that different target personnel can obtain the same quality and standardized follow-up services under the same management path.

[0056] Note that the above description is merely a preferred embodiment of the present invention and the technical principles employed. Those skilled in the art will understand that the present invention is not limited to the specific embodiments described herein, and various obvious changes, readjustments, and substitutions can be made without departing from the scope of protection of the present invention. Therefore, although the present invention has been described in detail through the above embodiments, the present invention is not limited to the above embodiments, and may include many other equivalent embodiments without departing from the concept of the present invention, the scope of which is determined by the scope of the appended claims.

[0057] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0058] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A follow-up management system, characterized in that, The system includes an information management module, a tag management module, a follow-up plan generation module, and a follow-up task management module; wherein... The information management module is used to determine multi-source information of the target personnel for follow-up. The tag management module is used to tag the target personnel for follow-up based on the multi-source information and determine the tag information of the target personnel for follow-up. The follow-up plan generation module is used to determine the follow-up plan for the target personnel based on tag information, a preset follow-up plan template, and a preset knowledge base. The preset follow-up plan template is associated with at least one tag. The preset knowledge base includes a follow-up answer library, a follow-up knowledge base, and a follow-up message reminder library. The follow-up plan includes a follow-up time plan and follow-up content. The follow-up task management module is used to generate at least one follow-up task in batches according to the follow-up plan, execute the follow-up task, and collect follow-up data fed back by the target personnel. The follow-up task includes the follow-up execution time, the target personnel, and the follow-up content.

2. The system according to claim 1, characterized in that, The multi-source information includes basic information, medical information, and medication information of the target individuals being followed up. The basic information includes age and gender, the medical information includes the number of medical visits, the department visited, and the time of medical visits, and the medication information includes the name of the drug, the scope of treatment, the start time of medication, and the duration of medication.

3. The system according to any one of claims 1-2, characterized in that, The tag management module is specifically used for: Based on the basic information provided, determine the primary label of the target individuals for follow-up. Based on the medical information, a second label is determined for the target individuals for follow-up. Based on the medication information, a third label is determined for the target individuals to be followed up; Based on the first label, the second label, and the third label, determine the label information of the target personnel for follow-up.

4. The system according to claim 1, characterized in that, The follow-up plan generation module is specifically used for: Determine the preset follow-up plan template and preset knowledge base; the preset knowledge base includes a follow-up response database, a follow-up knowledge base, and a follow-up message reminder database. Based on the label information and the preset follow-up plan template, a follow-up time plan is determined, which includes the follow-up interval period, the follow-up start time, and the follow-up end time. Based on the tag information and the preset knowledge base, the follow-up content is determined, including follow-up questionnaires, follow-up articles, and follow-up messages; Based on the aforementioned follow-up schedule and content, a follow-up plan is determined.

5. The system according to claim 4, characterized in that, The follow-up task management module is specifically used for: Based on the follow-up interval, follow-up start time, and follow-up end time, determine the number of follow-up tasks and the follow-up execution time for each follow-up task. The follow-up execution time is associated with the target personnel and follow-up content to generate a number of follow-up tasks. The system automatically executes the corresponding follow-up tasks according to the specified follow-up execution time and receives follow-up data from the target personnel based on the follow-up content.

6. A follow-up management method, characterized in that, The method includes: Identify multi-source information on the target individuals for follow-up; The target individuals for follow-up are tagged based on the multi-source information to determine their tag information; Based on the tag information, the preset follow-up plan template, and the preset knowledge base, a follow-up plan for the target personnel is determined. The preset follow-up plan template is associated with at least one tag information. The follow-up plan includes a follow-up time schedule and follow-up content. At least one follow-up task is generated in batches according to the follow-up plan. The follow-up task is executed and follow-up data fed back by the target personnel is collected. The follow-up task includes the follow-up execution time, the target personnel, and the follow-up content.

7. The method according to claim 6, characterized in that, The multi-source information includes basic information, medical information, and medication information of the target individuals being followed up. The basic information includes age and gender, the medical information includes the number of medical visits, the department visited, and the time of medical visits, and the medication information includes the name of the drug, the scope of treatment, the start time of medication, and the duration of medication.

8. The method according to any one of claims 6-7, characterized in that, Based on the multi-source information, the target individuals for follow-up are tagged to determine their tag information, including: Based on the basic information provided, determine the primary label of the target individuals for follow-up. Based on the medical information, a second label is determined for the target individuals for follow-up. Based on the medication information, a third label is determined for the target individuals to be followed up; Based on the first label, the second label, and the third label, determine the label information of the target personnel for follow-up.

9. The method according to claim 6, characterized in that, Based on tag information, a preset follow-up plan template, and a preset knowledge base, a follow-up plan for the target personnel is determined, including: Determine the preset follow-up plan template and preset knowledge base; the preset knowledge base includes a follow-up response database, a follow-up knowledge base, and a follow-up message reminder database. Based on the label information and the preset follow-up plan template, a follow-up time plan is determined, which includes the follow-up interval period, the follow-up start time, and the follow-up end time. Based on the tag information and the preset knowledge base, the follow-up content is determined, including follow-up questionnaires, follow-up articles, and follow-up messages; Based on the aforementioned follow-up schedule and content, a follow-up plan is determined.

10. The method according to claim 9, characterized in that, At least one follow-up task is generated in batches according to the follow-up plan, the follow-up task is executed, and follow-up data fed back by the target personnel is collected, including: Based on the follow-up interval, follow-up start time, and follow-up end time, determine the number of follow-up tasks and the follow-up execution time for each follow-up task. The follow-up execution time is associated with the target personnel and follow-up content to generate a number of follow-up tasks. The system automatically executes the corresponding follow-up tasks according to the specified follow-up execution time and receives follow-up data from the target personnel based on the follow-up content.

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