Internet-based lymphedema patient self-management support system and method

Abstract

The invention provides an internet-based lymphedema patient self-management support system and method, and belongs to the technical field of data processing, and the method specifically comprises the steps: determining a distribution processing scheme of medical staff when a patient sees a doctor based on the coincidence data and doctor seeing data of each patient in an online doctor seeing period, and carrying out the self-management of the patient on the basis of the distribution processing scheme; and when it is determined that the idle condition of the medical staff does not meet the requirement, whether the patient needs to be subjected to allocation optimization processing or not is determined according to the doctor-seeing matching condition of the patient not seeing the doctor and the medical staff in the idle state based on the allocation processing scheme of the patient, so that the self-management manual can more accurately reflect the demand of a user when being updated.

Description

Technical Field

[0001] The present invention belongs to the field of data processing technology, and in particular relates to an Internet-based lymphedema patient self-management support system and method. Background Art

[0002] Lymphedema refers to a chronic pathological condition in which fluid accumulates abnormally in local tissue spaces due to impaired lymphatic drainage. Therefore, home self-care is required. To support patients' home self-care, CN201710341737.3 "Cardiovascular Chronic Disease Management Methods Based on Intelligent Decision Support Technology" integrates Internet communication technology, establishes a risk warning model, data analysis, and authoritative cardiovascular disease management guidelines, and constructs a real-time data-supported treatment decision-making process. This dynamically monitors changes in patient risks, collaborates with medical staff to guide patients' participation in self-management, helps patients use medications safely, and improves their quality of life.

[0003] When conducting self-support management, existing technical solutions often require pushing relevant self-management manuals to patients, so that when there are questions about disease care, the problems can be handled promptly and effectively by relying on the self-management manuals. However, existing technical solutions have neglected the allocation of online family medical staff to different patients based on the update needs of the self-management manuals. Therefore, when updating the self-management manuals, due to differences in experience, the use of fixed medical staff may not be able to effectively obtain the user's real needs, and it is difficult to update the self-management manuals according to the real needs, resulting in a large difference between the update results and the patient's real needs.

[0004] To solve the above technical problems, the present application provides an Internet-based lymphedema patient self-management support system and method. Summary of the Invention

[0005] To achieve the purpose of the present invention, the present invention adopts the following technical solutions: Specifically, the present application provides an Internet-based self-management support method for lymphedema patients, which specifically includes: S1 determines the patient data at different stages of disease development based on the patient data at each stage of disease development. When it is determined that the update demand for the self-management manual is within the preset range, it determines the allocation and treatment plan of medical staff for the patient based on the overlapping data of each patient's online consultation period and consultation data; S2 determines, based on the allocation processing plan, that the availability of the medical staff does not meet the requirements, and determines whether the patient needs to be allocated for optimization based on the allocation processing plan for the patient, based on the matching situation between the patients who have not received treatment and the medical staff who are in an idle state.

[0006] The beneficial effects of the present application are: Based on the coincidence data of the online visit period of each patient and the visit data, the allocation and processing scheme of the medical staff for the patient during the visit is determined, so that the determination of the allocation and processing scheme of the medical staff for different patients is realized from the busy degree of visit processing and the visit frequency, which ensures that more medical staff is allocated to the patient with low visit frequency during the visit, so that the medical staff can more accurately determine the true disease state of the patient with low visit frequency, and lays a foundation for further updating of the self-management manual to ensure that the update result matches the needs of the patient.

[0007] The visit matching situation of the non-visited patient and the medical staff in the idle state, and the allocation and processing scheme of the visited patient, determine whether the visited patient needs allocation optimization processing, not only considering the use demand of the medical staff in the idle state in the later non-visited patient, but also considering the difference in the demand for allocation optimization processing of the visited patient due to the allocation and processing scheme, realizing the allocation optimization processing of the visited patient from the demand for allocation optimization processing of the visited patient and the use demand of the medical staff in the idle state in the later non-visited patient, and further improving the reliability of the diagnosis and processing of the illness of the visited patient.

[0008] Further, the disease development stage is determined according to the international lymphatic society classification system, and specifically the disease development stage is divided into four stages.

[0009] Further, the patient data includes the number of patients at different disease development stages.

[0010] Further, it is determined that the update demand of the self-management manual is within a preset range, specifically including: Based on the patient data at each disease development stage, the proportion of the number of patients at each disease development stage is determined; Based on the patient number proportion, it is determined whether the update demand of the self-management manual is within a preset range.

[0011] Further, it is determined that the idle condition of the medical staff does not meet the requirements, specifically including: The allocation and processing data of the medical staff for different patients is obtained by the allocation and processing scheme, and the period of the medical staff in the idle state is determined based on the allocation and processing data and taken as the idle period; According to the medical staff data in the idle state in different idle periods, the medical staff data in the idle state in different idle periods is determined; Determine whether the idle condition of the medical staff meets the requirements based on the idle period data and the medical staff data in the idle state in different idle periods.

[0012] Further, determine whether the clinic patients need to be allocated for optimization processing, specifically including: Determine the idle state medical staff matching non-clinic patient data based on the idle state medical staff and the matching condition of the idle state medical staff and the non-clinic patients. Determine the coincidence of the non-clinic patients matched by different idle state medical staff based on the idle state medical staff matching non-clinic patient data. Determine whether the clinic patients need to be allocated for optimization processing based on the coincidence, the non-clinic patient data matched by different idle state medical staff, and the allocation processing scheme of the clinic patients.

[0013] In the second aspect, the present application provides a lymphedema patient self-management support system based on the Internet, which adopts the above-mentioned lymphedema patient self-management support method based on the Internet, and specifically includes: a basic management support module, a treatment management support module, and an environment support module. The basic management support module is responsible for providing various online courses for patients to learn. The treatment management support module is responsible for matching the nearest medical institutions for the patients and conducting remote guidance of medical staff.

[0014] The environment support module is responsible for regularly pushing the updated self-management manual to the patients.

[0015] Further, it further includes a role support module responsible for building a patient mutual aid group and a family member login.

[0016] Further, the emotion management support module is responsible for providing online psychological counseling for the patients.

[0017] Other features and advantages will be set forth in the following description of the application, and in part will be apparent from the description and the drawings, or can be learned by practice of the application as claimed in the claims.

[0018] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, the following preferred embodiments are specifically described in detail below, and the accompanying drawings are described as follows. BRIEF DESCRIPTION OF DRAWINGS

[0019] The above and other features and advantages of the present application will become more apparent by describing in detail example embodiments thereof with reference to the attached drawings.

[0020] Figure 1 is a flowchart of an Internet-based lymphedema patient self-management support method; Figure 2 is a flowchart of determining that the update requirement of the self-management manual is within a preset range; Figure 3 is a flowchart of a method for determining the allocation and processing scheme of medical staff for patients during a visit; Figure 4 is a flowchart of determining that the idle condition of the medical staff does not meet the requirements; Figure 5 is a framework diagram of an Internet-based lymphedema patient self-management support system. DETAILED DESCRIPTION

[0021] In order for those skilled in the art to better understand the technical solutions in the specification, the technical solutions in the specification will be clearly and completely described below in conjunction with the drawings in the specification. Obviously, the described embodiments are only part of the embodiments of the specification, not all. Based on the embodiments of the specification, all other embodiments obtained by those skilled in the art without creative labor shall fall within the scope of protection of the specification.

[0022] In the present application, the number of medical staff allocated to patients during a visit is determined according to the idle state of the medical staff and the allocation and processing scheme of medical staff for patients during a visit, so as to ensure that patients with lower visit frequency are allocated more medical staff, so that the actual condition of different patients can be more accurately mastered when updating the self-management manual, and then the self-management manual is updated and processed accordingly, so that the self-management manual can be more accurately matched with the needs of patients. The medical staff includes nursing staff and doctors.

[0023] Embodiment 1 As shown in Figure 1 The present application provides an Internet-based lymphedema patient self-management support method, which specifically comprises: S1, based on patient data, determine patient data at different disease development stages, and based on patient data at each disease development stage, determine that the update requirement of the self-management manual is within a preset range, and based on the coincidence data and visit data of each patient's online visit period, determine the allocation and processing scheme of medical staff for patients during a visit; Further, the disease development stage is determined according to the International Lymphedema Society Classification System, and specifically the disease development stage is divided into four stages.

[0024] Further, the patient data includes the number of patients at different disease development stages.

[0025] Specifically, as shown in Figure 2 the update requirement of the self-management manual is determined to be within a preset range, specifically including: determining the proportion of the number of patients at each disease development stage based on the patient data at each disease development stage; determining whether the update requirement of the self-management manual is within a preset range based on the proportion of the number of patients.

[0026] It can be understood that, based on the proportion of the number of patients, it is determined whether the update requirement of the self-management manual is within a preset range, specifically including: When there is no disease development stage with a proportion of the number of patients greater than a preset proportion threshold, the distribution of patients at different disease development stages is relatively dispersed at this time, and therefore it is determined that the update requirement of the self-management manual is within a preset range based on this.

[0027] It should be noted that when the update requirement of the self-management manual is not within a preset range, a preset scheme is used for the allocation and processing of medical personnel for all patients at the time of medical treatment.

[0028] In one possible embodiment, when there is no disease development stage with a proportion of the number of patients greater than 0.9, it is determined that the update requirement of the self-management manual is within a preset range.

[0029] Specifically, as shown in Figure 3 the method for determining the allocation and processing scheme of medical personnel for the patient at the time of medical treatment is: determining the number of patients for online medical treatment in the online medical treatment stage in history based on the coincidence data of the online medical treatment time periods of each patient; determining the number of times of online medical treatment of the patient based on the medical treatment data of the patient; determining the allocation and processing scheme of medical personnel for the patient at the time of medical treatment based on the number of patients for online medical treatment in the online medical treatment stage in history and the number of times of online medical treatment of the patient.

[0030] It can be understood that when the average value of the number of patients for online medical treatment in different online medical treatment time periods does not meet the requirements, the number of patients for online medical treatment in different online medical treatment time periods is relatively large at this time, and therefore regardless of the number of times of online medical treatment of the patient, a second preset scheme is used for the allocation and processing of medical personnel.

[0031] In a possible embodiment, when the average number of patients visiting online during different online consultation periods is not less than 2, the second preset scheme is adopted to allocate medical staff, that is, during online consultation, when there are idle medical staff who have not visited the clinic, a non-visited medical staff is allocated to them; when there are no idle medical staff who have not visited the clinic, a medical staff is randomly allocated to them.

[0032] It can also be understood that when the average number of patients visiting online during different online consultation periods meets the requirements, it is necessary to further determine the ratio of the number of patients to the number of medical staff. When the ratio of the number of patients to the number of medical staff is less than the preset ratio, the second preset plan will be used to allocate medical staff regardless of the number of online consultations for the patient.

[0033] In a possible specific embodiment, when the ratio of the number of patients to the number of medical staff is less than 0.01, since the number of medical staff is small, the second preset plan is used to allocate medical staff regardless of the number of online visits of the patient.

[0034] It should be noted that when the ratio of the number of patients to the number of medical staff is not less than the preset ratio, it is necessary to further determine the number of online visits of the patient. If the number of online visits of the patient in the most recent preset time period is greater than the preset visit threshold, it means that the frequency of the patient's online visits is relatively high. Therefore, even if the second preset plan is used to allocate medical staff, it can still ensure that the patient can receive reliable medical treatment from multiple medical staff. Therefore, it is determined that the medical staff allocation plan for the patient when visiting the doctor is the second preset plan for allocation of medical staff.

[0035] It can also be understood that if the number of online visits for the patient in the most recent preset time period is not greater than the preset visit number threshold, the number of patients for whom medical staff are allocated using the second preset plan is obtained at this time. When the proportion of the number of patients for whom medical staff are allocated using the second preset plan among all patients is greater than the preset proportion threshold, it is determined that the medical staff allocation plan for the patient during the visit is the medical staff allocation plan using the preset plan.

[0036] In a possible embodiment, if the number of online visits of the patient in the last month is not more than 3, and the proportion of the number of patients using the second preset scheme for allocation of medical staff in all patients is greater than 0.8, it is determined that the allocation scheme of medical staff for the patient at the time of visit is to use the preset scheme for allocation of medical staff, that is, when there is an idle medical staff who has not visited, a preset number of medical staff who have not visited is allocated to him / her, and when there is no idle medical staff who has not visited, a preset number of medical staff is randomly allocated to him / her.

[0037] Further, when the proportion of the number of patients using the second preset scheme for allocation of medical staff in all patients is not more than a preset proportion threshold, if the patient has no online visit in the last preset time period, it is determined that the allocation scheme of medical staff for the patient at the time of visit is to use the second preset scheme for allocation of medical staff, and if the patient has online visit in the last preset time period, the third preset scheme for allocation of medical staff is used.

[0038] In a possible embodiment, the preset number is 2, and the third preset scheme determines the allocation scheme according to the idle state of the medical staff, specifically, when there are a preset number of idle medical staff who have not visited, a preset number of medical staff who have not visited is allocated to him / her, and when there are no a preset number of idle medical staff who have not visited, a medical staff is randomly allocated to him / her.

[0039] S2 determines, on the basis of the allocation scheme, whether the idle state of the medical staff meets the requirement, and determines whether the patient needs allocation optimization processing based on the allocation scheme of the patient, according to the visit matching between the patient who has not visited and the medical staff in the idle state.

[0040] Specifically, as shown in Figure 4 It is determined that the idle state of the medical staff does not meet the requirement, specifically including: The allocation processing data of the medical staff of different patients is obtained by using the allocation scheme, the idle time period of the medical staff is determined based on the allocation processing data, and the idle time period is taken as an idle time period; The idle state data of the medical staff in different idle time periods is determined according to the idle state data of the medical staff in different idle time periods; The idle state of the medical staff is determined based on the idle time period data and the idle state data of the medical staff in different idle time periods.

[0041] It should be noted that the idle period is a period in which the length of the period in which the medical staff is in an idle state is greater than a preset length threshold, and in a possible specific embodiment, a period in which the length of the period in which the medical staff is in an idle state is greater than 5 minutes is taken as the idle period.

[0042] It can be understood that when the average length of the idle period in different dates does not meet the requirement, if the average length of the idle period in different dates is less than the preset length threshold, it is determined that the idle condition of the medical staff does not meet the requirement.

[0043] Further, when the average length of the idle period in different dates is not less than the preset length threshold, if the average length of the idle period in different dates is within the preset length interval, it is determined that the idle condition of the medical staff meets the requirement.

[0044] In a possible specific embodiment, if the average length of the idle period in different dates is less than 1 hour, it is determined that the idle condition of the medical staff does not meet the requirement, and if the average length of the idle period in different dates is not less than 2 hours, it is determined that the average length of the idle period in different dates is within the preset length interval.

[0045] In addition, it can be understood that if the average length of the idle period in different dates is not within the preset length interval, it is further necessary to determine the interval length between different adjacent idle periods, and when the average value of the interval length between adjacent idle periods in different dates is less than a preset interval threshold, it is determined that the idle condition of the medical staff does not meet the requirement.

[0046] In a possible embodiment, if the average value of the interval length between adjacent idle periods in different dates is less than 5 minutes, it indicates that the distribution of idle periods is relatively concentrated, and therefore it is determined that the idle condition of the medical staff does not meet the requirement.

[0047] Further, when the average value of the interval length between adjacent idle periods is not less than the preset interval threshold, it is further necessary to further determine the number of medical staff in an idle state in different idle periods, and in a possible specific embodiment, when the number of medical staff in an idle state in different idle periods meets the requirement, which is not less than 2, it is determined that the idle condition of the medical staff meets the requirement, and when the number of medical staff in an idle state in different idle periods does not meet the requirement, it is determined that the idle condition of the medical staff does not meet the requirement.

[0048] It should be noted that when the idle condition of the medical staff meets the requirements, even if the optimization processing of the medical staff allocation method is not performed, in the later period when the self-management manual is about to be updated, for example, within one month before the update is required, due to the relatively idle medical staff, the second preset scheme can be used for medical staff allocation processing for different patients in the period about to be updated, which can meet the requirements, and also avoids the technical problem of high labor intensity of medical staff caused by frequent adjustment.

[0049] Further, determining whether the patient needs to be allocated for optimization processing, specifically comprising: The idle medical staff is taken as an idle medical staff, and the idle medical staff and the patient who has not been treated are matched to determine the idle medical staff matching the patient who has not been treated, and based on the patient who has not been treated, the idle medical staff matching the patient who has not been treated is determined as the medical staff matching the patient who has not been treated. According to the matching of the patient who has not been treated matched with the medical staff matching the patient who has not been treated, the coincidence of the patient who has not been treated matched with other idle medical staff is determined. Using the coincidence, the allocation processing scheme of the patient who has not been treated, and the medical staff matching the patient who has not been treated, to determine whether the patient who has not been treated needs to be allocated for optimization processing.

[0050] It can be understood that when the allocation processing scheme of the medical staff when the patient is treated is to use a preset scheme to allocate the medical staff, if there are not less than a preset number of medical staff matching the patient, the allocation processing of the medical staff is still performed according to the preset scheme, and if there are not less than a preset number of medical staff matching the patient, a medical staff matching the patient is randomly allocated.

[0051] In addition, it should be noted that when the allocation processing scheme of the medical staff when the patient is treated is to use a second preset scheme or a third preset scheme to allocate the medical staff, if there are not less than a preset number of medical staff matching the patient, a medical staff matching the patient is randomly allocated.

[0052] Further, if there are no less than a preset number of medical personnel matched with the patient, the overlap of the non-visited patients of the medical personnel matched with the patient is obtained, and the non-visited patients uniquely matched with the medical personnel matched with the patient are determined based on the overlap, wherein when the number of the non-visited patients uniquely matched with the medical personnel matched with the patient meets a requirement, the medical personnel matched with the patient is taken as the assigned medical personnel of the patient for diagnosis processing, and if the number of the non-visited patients uniquely matched with the medical personnel matched with the patient does not meet the requirement, the assignment of the medical personnel is performed according to a preset scheme, that is, the patient is assigned with a preset number of medical personnel matched with the patient.

[0053] Embodiment 2 In a second aspect, as shown in the figure, the present application provides an internet-based self-management support system for lymphedema patients, which adopts the above-mentioned internet-based self-management support method for lymphedema patients, and specifically comprises: Figure 5 a basic management support module, a treatment management support module, and an environment support module. The basic management support module is responsible for providing various online courses for the patients to learn. The treatment management support module is responsible for matching the patients with nearby medical institutions and conducting remote guidance of medical personnel.

[0054] The environment support module is responsible for regularly pushing the updated self-management manual to the patients.

[0055] Further, a role support module is further included, which is responsible for constructing a mutual aid group of patients and login of family members.

[0056] Further, the emotion management support module is responsible for providing online psychological counseling for the patients.

[0057] Optionally, the update requirement of the self-management manual is determined to be within a preset range, specifically comprising: determining the proportion of the number of patients at each disease development stage based on the patient data at each disease development stage; determining the disease development stage with a proportion of the number of patients greater than a preset proportion value based on the proportion of the number of patients; determining whether the update requirement of the self-management manual is within the preset range based on the disease development stage with the proportion of the number of patients greater than the preset proportion value.

[0058] In a possible embodiment, when there are multiple disease development stages with the proportion of the number of patients greater than the preset proportion value, it indicates that the distribution of patients at different disease development stages is relatively scattered, and therefore it is determined that the update requirement of the self-management manual is not within the preset range. ​

[0059] Embodiment 3 Optionally, the method for determining the allocation processing scheme of the medical staff by the patient at the time of the visit is: determining the number of patients for online visits in the online visit stage in the history according to the coincidence data of the online visit time periods of the respective patients, and determining the coincidence visit time period in the online visit time period of the patient based on the number of patients; determining the number of online visits of the patient based on the visit data of the patient, and determining the coincidence of the online visit time period and the coincidence visit time period of the patient by using the visit data of the patient; determining the allocation processing scheme of the medical staff by the patient at the time of the visit based on the coincidence visit time period data, the number of online visits of the patient, and the coincidence of the online visit time period and the coincidence visit time period.

[0060] It should be noted that the coincidence visit time period is the online visit time period in which the number of patients is greater than the preset patient number threshold, and in one possible embodiment, if the number of patients in the online visit time period is not less than 3, the online visit time period is determined as the coincidence visit time period.

[0061] It can be understood that when the number of coincidence visit time periods in different dates is greater than the preset coincidence visit time period number threshold, it is determined that the second preset scheme is adopted for the allocation processing of the medical staff regardless of the number of online visits of the patient.

[0062] In addition, it should be noted that when the number of coincidence visit time periods in different dates is greater than the preset coincidence visit time period number threshold, it is further determined that the coincidence of the online visit time period and the coincidence visit time period of the patient, and when the coincidence number ratio of the online visit time period and the coincidence visit time period of the patient is greater than the preset ratio threshold, it is determined that the second preset scheme is adopted for the allocation processing of the medical staff regardless of the number of online visits of the patient.

[0063] Further, when the coincidence number ratio of the online visit time period and the coincidence visit time period of the patient is not greater than the preset ratio threshold, if the number of online visits of the patient in the latest preset time period is greater than the preset visit number threshold, it indicates that the frequency of online visits of the patient is high, and therefore even if the second preset scheme is adopted for the allocation processing of the medical staff, the patient can still receive reliable visit processing among multiple medical staff, and therefore it is determined that the allocation processing scheme of the medical staff by the patient at the time of the visit is to adopt the second preset scheme for the allocation processing of the medical staff.

[0064] It can be understood that if the number of online visits of the patient in the preset time period is not greater than the preset visit threshold, the allocation processing scheme of the medical staff for the patient is determined to be the preset scheme.

[0065] Embodiment 4 Further, it is determined whether the patient needs allocation optimization processing, specifically including: The idle medical staff is taken as an idle medical staff, and the idle medical staff is matched with the patient who has not been visited to determine the patient data matched by the idle medical staff. According to the patient data matched by the idle medical staff, it is determined whether the idle medical staff matches the patient who has not been visited. The idle medical staff matches the patient who has not been visited, and the allocation processing scheme of the patient is determined whether the patient needs allocation optimization processing.

[0066] It should be noted that the patient who has not been visited by the idle medical staff is the patient who has not been visited by the idle medical staff, and the patient who has not been visited is the patient other than the patient who is visited at the current time.

[0067] Optionally, when the number of idle medical staff does not meet the requirement, that is, when the number of idle medical staff is small, in order to ensure the efficiency of the treatment of the patient who has not been visited, it is determined that the patient does not need allocation optimization processing.

[0068] In one possible embodiment, when the number of idle medical staff is less than 3, it is determined that the number of idle medical staff does not meet the requirement.

[0069] Further, when the number of idle medical staff meets the requirement, if the number of idle medical staff is greater than a preset idle medical staff number threshold, the idle medical staff is allocated and processed according to the preset scheme regardless of the allocation processing scheme of the patient.

[0070] In one possible embodiment, when the number of idle medical staff is not less than 8, it is determined that the number of idle medical staff is greater than the preset idle medical staff number threshold, and at this time, because the number of idle medical staff is large, the idle medical staff is allocated and processed according to the preset scheme regardless of the allocation processing scheme of the patient.

[0071] It can be understood that if the number of idle medical staff is not greater than the preset idle medical staff number threshold, the idle medical staff and the patient's treatment matching are determined at this time, and when there is no idle medical staff matching the treatment, i.e. there is no idle medical staff who has not treated the patient in history, the patient is randomly assigned an idle medical staff at this time.

[0072] It should be noted that the idle medical staff matching the treatment is an idle medical staff who has not diagnosed the patient.

[0073] Further, when there is idle medical staff matching the treatment, the patient's treatment medical staff allocation processing scheme is determined at this time to be a preset scheme for medical staff allocation processing, and if there are not less than a preset number of idle medical staff matching the treatment, the medical staff allocation processing is still performed according to the preset scheme, and if there are not less than a preset number of idle medical staff matching the treatment, an idle medical staff matching the treatment is randomly assigned.

[0074] It can be understood that when there is idle medical staff matching the treatment, the patient's treatment medical staff allocation processing scheme is determined at this time to be a second preset scheme or a third preset scheme for medical staff allocation processing, and if there are not less than a preset number of idle medical staff matching the treatment, an idle medical staff matching the treatment is randomly assigned.

[0075] Further, if there are not less than a preset number of idle medical staff matching the treatment, the coincidence of the idle medical staff matching the treatment and the non-treatment patient is obtained, and based on the coincidence, the idle medical staff matching the treatment and the non-treatment patient are determined, and when the number of the idle medical staff matching the treatment and the non-treatment patient meets the requirements, all the idle medical staff matching the treatment are assigned as the patient's assigned treatment medical staff, and if the number of the idle medical staff matching the treatment and the non-treatment patient does not meet the requirements, the medical staff allocation processing is performed according to the preset scheme, i.e. a preset number of idle medical staff matching the treatment is assigned.

[0076] It should be noted that the non-treatment patient uniquely matched by the idle medical staff matching the treatment is a non-treatment patient who only belongs to the idle medical staff matching the treatment and does not belong to other idle medical staff.

[0077] In a possible embodiment, when the proportion of the number of the non-visited patients uniquely matched by the doctor in idle state of the visit matching in all non-visited patients is less than 0.2, it is determined that the number of the non-visited patients uniquely matched by the doctor in idle state of the visit matching meets the requirement.

[0078] Each of the embodiments in the specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other. Each of the embodiments focuses on the difference from other embodiments. In particular, the device, the apparatus, and the non-transitory computer storage medium embodiments are described simply because they are basically similar to the method embodiments, and the relevant parts can be referred to the part of the method embodiments.

[0079] The above describes specific embodiments of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be performed in a different order than the order in which they are recited and still achieve desirable results. In addition, the processes depicted in the figures do not necessarily require the particular order shown, or sequential order, to achieve the desired results. In some implementations, multitasking and parallel processing can be advantageous or necessary.

[0080] The above only describes one or more embodiments of the specification, and is not intended to limit the specification. One or more embodiments of the specification can have various changes and variations for those skilled in the art. Any modification, equivalent replacement, improvement, etc. within the spirit and principle of one or more embodiments of the specification shall be included in the scope of the claims of the specification.

Claims

1. An Internet-based self-management support method for lymphedema patients, characterized by: Specifically include: Based on the patient data, determine the patient data at different stages of disease development. Based on the patient data at each stage of disease development, when it is determined that the update demand of the self-management manual is within the preset range, based on the overlapping data of each patient's online consultation time and consultation data, determine the allocation and treatment plan of medical staff when the patient is visiting the doctor; Based on the allocation processing plan, when it is determined that the availability of the medical staff does not meet the requirements, the matching situation of the patients who have not received treatment and the medical staff who are in an idle state is used, and based on the allocation processing plan for the patients who have received treatment, it is determined whether the patients who have received treatment need to be allocated for optimization.

2. The Internet-based lymphedema patient self-management support method according to claim 1, characterized in that: The disease progression stage was determined according to the International Society of Lymphology classification system.

3. The Internet-based lymphedema patient self-management support method according to claim 1, characterized in that: The patient data includes the number of patients at different stages of disease progression.

4. The Internet-based lymphedema patient self-management support method according to claim 1, wherein: Ensure that the update needs of the self-management manual are within the preset scope, including: Based on the patient data at each stage of disease development, determine the proportion of patients at each stage of disease development; Based on the proportion of the number of patients, determine whether the update demand of the self-management manual is within a preset range.

5. The Internet-based lymphedema patient self-management support method according to claim 4, characterized in that: Based on the proportion of the number of patients, determine whether the update demand of the self-management manual is within the preset range, specifically including: When there is no disease development stage in which the number of patients accounts for a greater proportion than the preset threshold, the distribution of patients at different disease development stages is relatively dispersed. Therefore, on this basis, it is determined that the update demand of the self-management manual is within the preset range.

6. The Internet-based lymphedema patient self-management support method according to claim 1, wherein: When the updating requirement of the self-management manual is not within the preset range, the preset plan is used to allocate medical staff to all patients when they visit the hospital.

7. The Internet-based lymphedema patient self-management support method according to claim 1, wherein: Determining that the availability of the medical staff does not meet the requirements, specifically including: Performing allocation processing of medical staff for different patients according to the allocation processing scheme to obtain allocation processing data, and determining time periods in which medical staff are idle based on the allocation processing data, and using the time periods as idle time periods; Determining the data of medical staff who are in an idle state in different idle time periods according to the data of medical staff who are in an idle state in different idle time periods; The idle period data and the data of medical staff who are idle in different idle periods are used to determine whether the idle status of the medical staff meets the requirements.

8. The Internet-based lymphedema patient self-management support method according to claim 7, characterized in that: The idle period is a period during which there are medical staff in an idle state and the duration of the period is greater than a preset duration threshold.

9. The Internet-based lymphedema patient self-management support method according to claim 1, wherein: Determining whether the patient needs to be assigned to an optimized process includes: The medical staff in the idle state is regarded as the idle medical staff, and the non-patient data matched with the idle medical staff is determined based on the medical matching status between the idle medical staff and the non-patients; According to the data of untreated patients matched by medical staff in the idle state, the overlap of untreated patients matched by different medical staff in the idle state is determined; By using the overlap situation, the data of non-patients matched with different idle medical staff and the allocation and processing scheme of the patients, it is determined whether the patients need to be allocated for optimization.

10. An Internet-based lymphedema patient self-management support system, using the Internet-based lymphedema patient self-management support method according to any one of claims 1 to 9, characterized in that: Specifically include: Basic management support module, treatment management support module, environmental support module; The basic management support module is responsible for providing patients with various online courses for them to learn; The treatment management support module is responsible for matching the patient with a nearby medical institution and providing remote guidance to medical staff; The environmental support module is responsible for regularly pushing updated self-management manuals to the patients.

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