Intelligent queuing method and management system based on therapeutic schedule

Abstract

The invention discloses an intelligent queuing method and management system based on a treatment scheme, and the method comprises the steps: obtaining the total treatment time corresponding to the treatment scheme during the treatment sign-in reservation of a patient; on the basis of an early sign-in and early treatment principle, according to the treatment sign-in time, the treatment appointments of the patients are sequentially ranked into the time period, meeting the total treatment duration requirement firstly, of the target treatment equipment to form a queuing treatment sequence; and the time interval of two adjacent treatments of the same patient meets the corresponding minimum time interval requirement. The management system intelligently allocates the treatment equipment according to the treatment scheme of the patient, and the equipment utilization rate of a hospital medical institution is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of digital hospital management, and in particular to an intelligent queuing method and management system based on treatment plans. Background Art

[0002] With the development of hospital informatization, registration and calling technology is constantly changing. In order to ensure orderly department visits, reduce the waiting time of patients in the hospital, and facilitate patients to seek medical treatment, major hospitals have used queuing and calling systems. The current rules used by the queuing and calling system are mainly to use time segments of the same length as units to calculate the number of numbers for all departments. The appointment and calling system sorts the patients according to the specific time corresponding to each number source. Based on the above main rules, the market has derived additional hardware devices for guiding the flow of people (a utility model of a hospital registration queue diversion device CN202322842119.0 Hainan Medical College First Affiliated Hospital), a queuing and calling system combined with a self-service registration terminal (a utility model of a queuing-free hospital self-service registration terminal CN202320409779.7 Dongguan Huazhitong Technology Co., Ltd.), or by increasing the setting of individual patient tolerance as a queue weight algorithm optimization (a hospital dynamic queue intelligent calling method invention patent CN202311028771.7 Beijing Rongwei Zhongbang Technology Co., Ltd.), etc.

[0003] The queuing methods and systems currently on the market are based on the same consultation time segment or historical disease consultation time segment (a hospital call intelligent queuing method and system invention patent CN202311198542.X Beijing Rongwei Zhongbang Technology Co., Ltd.) as the source consultation time standard queuing scheme, which is generally applicable to appointments and queuing for outpatient clinics, general medical and technical examinations and other departments, but not for rehabilitation treatment medical and technical departments where patients have a clear treatment time. In cases where patients have a clear treatment time, there are cases where the length of treatment time for patients varies greatly. For example, some patients only need 5 minutes for treatment, while others need up to 50 minutes for treatment. Summary of the invention

[0004] The purpose of the present invention is to provide an intelligent queuing method and management system based on treatment plans, in view of the fact that the current medical call-number queuing plans on the market do not support accurate queuing according to the current patient treatment time, so as to provide a patient queuing management tool with more accurate treatment time and flexible queue adjustment for rehabilitation medical technology departments, thereby improving the department's treatment efficiency and waiting order management level.

[0005] The technical solution adopted by the present invention is: An intelligent queuing method and management system based on treatment plan, This patent proposes a method for intelligent queuing based on the specific treatment time of patients. When the patient signs in for treatment, the total treatment time corresponding to the treatment plan is obtained and bound to the corresponding treatment appointment; based on the principle of early sign-in and early treatment, the patient's treatment appointment is arranged in sequence according to the treatment sign-in time into the time period when the target treatment equipment first meets the total treatment time requirement to form a queuing treatment sequence; and the time interval between two adjacent treatments of the same patient meets the corresponding minimum time interval requirement.

[0006] Furthermore, the method specifically includes the following steps: Step 1: After the patient signs in for treatment, the patient obtains the treatment plan corresponding to the patient's current appointment item; Step 2, respectively obtain the corresponding total treatment time from the treatment plan of each patient, bind the total treatment time with the corresponding treatment appointment and then queue up for appointment; Step 3, determining whether the patient's current treatment appointment is the patient's first treatment appointment of the day; if yes, executing step 5; otherwise, executing step 4; Step 4, determine whether the time interval between the start time of the current treatment appointment and the end time of the patient's previous treatment appointment meets the minimum time interval requirement of the corresponding treatment item; if so, execute step 5; otherwise, change the start time of the current treatment appointment to a time after the minimum time interval requirement is met and execute step 5; Step 5: Based on the principle of early sign-in and early treatment, the patient's treatment appointment is arranged in sequence according to the treatment sign-in time into the time period when the target treatment device first meets the total treatment time requirement to form a queuing treatment sequence.

[0007] Furthermore, the total treatment time includes the patient's waiting time (3 minutes) plus the combined treatment time of all treatment parts, where the combined treatment time of each treatment part is the sum of the part treatment preparation time (30 seconds) plus the treatment time of each part.

[0008] Furthermore, the method of obtaining the total treatment time from the treatment plan is as follows: the patient's attending physician may fill in the total treatment time when formulating the treatment plan; or the total treatment time may be obtained by predicting the treatment plan using a big data model configured in the hospital; or the total treatment time of the corresponding treatment plan may be obtained by obtaining a comprehensive statistical total treatment time from a third-party data platform connected to the hospital; or the preset comprehensive treatment time of each treatment item may be called from a database set up by the hospital and summarized and calculated, and the database may be configured with the comprehensive treatment time preset in advance by the hospital system for each treatment item in the treatment plan.

[0009] Further, the minimum time interval has different minimum time intervals according to different treatment items of different treatment plans. As a feasible implementation scheme, the minimum time interval can be set to a more generally applicable one hour.

[0010] Furthermore, of course, the minimum time interval can also be dynamically adjusted according to different time periods of the target appointment. For example, as a feasible implementation scheme, during the peak treatment time period of a hospital day or a season, the minimum time interval is adaptively increased; during the off-season treatment time period of a hospital day or a season, the minimum time interval is adaptively reduced. Of course, no matter how the minimum time interval is reduced, the minimum time interval is maintained not less than the minimum time interval medically required for the corresponding treatment item.

[0011] Furthermore, when the treatment plans for a patient's scheduled treatment are treatment appointments for more than two treatment devices, the treatment appointments for different treatment devices are split into more than two treatment appointments and sorted for the corresponding target treatment devices respectively, and when the treatment appointments are successfully sorted, the two or more treatment appointments are staggered in time for serial sorting; that is, when a treatment appointment is successful, other treatment appointments that have not yet been successfully scheduled are scheduled with the latest device treatment end time among the completed appointments as the treatment appointment start time.

[0012] Specifically, as a feasible implementation method, when the treatment plan of the patient's scheduled treatment includes treatment with a deep treatment device and a common treatment device respectively, the deep treatment device and the common treatment device are split into two treatment appointments and sorted for treatment with the target treatment device respectively. As long as one of the devices has a vacancy, the appointment is successful; at the same time, when sorting the appointments, the two appointments will be staggered in time to be sorted in series; that is, after one treatment appointment is successfully booked, the other treatment appointment will be scheduled after the treatment of the first treatment appointment is completed.

[0013] Furthermore, scheduling the patient's treatment appointment into the time period when the target treatment device first meets the total treatment duration requirement also specifically means that the patient's treatment appointment end time cannot exceed the end of get off work time.

[0014] Furthermore, in order to meet the patient's needs for the first treatment of the day, as a feasible implementation, the first treatment appointment can be arranged before the start time of the second treatment appointment of the day when scheduling the appointments.

[0015] The present invention also discloses an intelligent queuing system based on treatment plans, which includes: an online appointment module, a treatment plan module, a waiting management module, a treatment management module, a treatment equipment management module, a sign-in and calling module, and a waiting screen; The online appointment module has a patient appointment unit, an appointment information unit and a blacklist unit. The online appointment module runs on the WeChat applet. Patients make appointments for treatment through the patient appointment unit. The appointment information unit is used to check the appointment time and the busyness of the treatment equipment. The blacklist unit is used to restrict patients who often miss appointments from using online appointments, and remind the corresponding patients to make appointments on site at the hospital. The treatment plan module provides a template for treatment plans or programs so that therapists can develop treatment plans and store treatment plans for patients. As a management module for patient treatment plans, the treatment plan module provides an operation window for therapists to develop treatment plans through the treatment plan function. The treatment plan module contains a collection of different types of treatment plan templates, such as personal templates and department templates, so that therapists can quickly develop treatment plans directly through templates. The waiting management module provides therapists with the function of intelligently managing the waiting patient list, automatically scheduling the treatment start and end time for waiting patients based on different patient treatment plans, and maximizing treatment efficiency; The treatment management module provides support to therapists in the process of treating patients. The therapists can directly obtain the patient's treatment plan on the device and send back the treatment records. The treatment equipment management module is used by therapists to configure equipment information and treatment modes of the equipment; The large waiting screen serves as a window for displaying waiting information, so that patients can understand their waiting status in real time; The intelligent follow-up module is used to follow up on the treatment effects of patients after the end of treatment, combining the treatment plan with the treatment record data to form a business closed loop.

[0016] The sign-in and calling module includes a sign-in machine and a broadcast calling system. Through the sign-in machine, patients can directly use medical cards, ID cards, medical insurance cards and other methods to sign in for treatment. Through the in-hospital broadcast calling system, when the time has come for the patient's treatment to start, the patient will be called and notified.

[0017] Specifically, the waiting management module, treatment management module, treatment equipment management module, sign-in and calling module, intelligent follow-up module and waiting screen together constitute the treatment process management set. The treatment process management unit is a functional set for therapists to manage the patient's treatment process. It provides standard operation assistance for patients from signing in when entering the clinic, waiting in the waiting room, to receiving treatment, and following up after treatment.

[0018] In addition, this system obtains the patient's basic information and the payment status of their treatment items through the HIS system interface; and synchronizes the treatment plan and returns the treatment record to the treatment device through the transcranial magnetic stimulation treatment device interface.

[0019] Furthermore, the intelligent queuing system based on the treatment plan is associated with the check-in machine, the calling system, and the treatment equipment through a unified interface.

[0020] The present invention adopts the above technical scheme, which has the following technical effects: 1. The waiting time for medical treatment is shortened. Through the online appointment system and intelligent triage, the average waiting time for treatment is shortened from the original 2 hours to less than 20 minutes, which improves the efficiency of medical treatment. 2. Patient satisfaction is improved: According to the survey, more than 95% of patients are satisfied with the new diagnosis and treatment system, and believe that the medical process is more convenient and the service is more humane. 3. The average daily number of TMS diagnosis and treatment in medical institutions has increased: Through the invented management system, treatment equipment is intelligently allocated according to the patient's treatment plan, and the use time of the equipment is reasonably planned. The average daily number of diagnosis and treatment in medical institutions has increased from 120 people / time to 140 people / time. 4. The utilization rate of TMS equipment in medical institutions has increased: Through the management system of the present invention, treatment equipment is intelligently allocated according to the patient's treatment plan, and the equipment utilization rate of hospital medical institutions has also increased from 75% to 95%. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The present invention is further described in detail below with reference to the accompanying drawings and specific embodiments; Figure 1 This is a schematic diagram of the specific composition of the total treatment duration; Figure 2 Schematic diagram of the specific process for early check-in and early treatment sorting; Figure 3 Schematic diagram of the sorting principle to maximize the therapeutic efficiency of the device; Figure 4 A schematic diagram of the order of appointments for treatments where the treatment plan includes more than two treatment devices; Figure 5 A schematic diagram of the sorting structure when the end time of the treatment appointment cannot exceed the end of get off work time; Figure 6 It is a structural diagram of an intelligent queuing management system based on treatment plans. DETAILED DESCRIPTION

[0022] In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application.

[0023] like Figures 1 to 6 As shown in one, the present invention discloses an intelligent queuing method based on treatment plan, which obtains the total treatment time corresponding to the treatment plan when the patient signs in for treatment and binds it to the corresponding treatment appointment; based on the principle of early sign-in and early treatment, the patient's treatment appointment is arranged in sequence according to the treatment sign-in time into the time period that first meets the total treatment time requirement of the target treatment equipment to form a queuing treatment sequence; and the time interval between two adjacent treatments of the same patient meets the corresponding minimum time interval requirement.

[0024] Specifically, Figure 2 As shown in the figure, the specific process of early sign-in and early treatment sorting is as follows: take the following sign-in order as an example: A, first treatment sign-in time: 7:50; A, second treatment sign-in time: 7:51; B, first treatment sign-in time: 7:53; C, first treatment sign-in time: 7:55; among them, there is a 1-hour interval between A's first treatment and A's second treatment; then according to the principle of early sign-in and early treatment, B's first treatment is based on the principle of time priority, so the treatment appointment is arranged after A's first treatment; because the interval between B's first treatment appointment and A's second treatment appointment is 25 minutes, C's first treatment appointment cannot be arranged between B's first treatment and A's second treatment appointment, and C's first treatment appointment starts at 9:50.

[0025] like Figure 3 As shown, continuing with the above example, another patient D's first treatment check-in time is 8:20; the total duration of D's first treatment is 20 minutes, but because there is a 25-minute gap between B's first treatment appointment and A's second treatment appointment, D's first treatment is inserted into the gap to maximize the treatment efficiency of the equipment and improve the treatment efficiency.

[0026] Furthermore, the method specifically includes the following steps: Step 1: After the patient signs in for treatment, he / she obtains the treatment plan corresponding to the patient's current appointment item; Step 2, respectively obtain the corresponding total treatment time from the treatment plan of each patient, bind the total treatment time with the corresponding treatment appointment and then queue up for appointment; Step 3, determining whether the patient's current treatment appointment is the patient's first treatment appointment of the day; if yes, executing step 5; otherwise, executing step 4; Step 4, determine whether the time interval between the start time of the current treatment appointment and the end time of the patient's previous treatment appointment meets the minimum time interval requirement of the corresponding treatment item; if so, execute step 5; otherwise, change the start time of the current treatment appointment to a time after the minimum time interval requirement is met and execute step 5; Step 5: Based on the principle of early sign-in and early treatment, the patient's treatment appointment is arranged in sequence according to the treatment sign-in time into the time period when the target treatment device first meets the total treatment time requirement to form a queuing treatment sequence.

[0027] Furthermore, the total treatment time includes the patient's waiting time (3 minutes) plus the combined treatment time of all treatment parts, where the combined treatment time of each treatment part is the sum of the part treatment preparation time (30 seconds) plus the treatment time of each part.

[0028] Specifically, Figure 1As shown, the total treatment time is composed of "patient waiting distance (3 minutes) + N (30 seconds of preparation for treatment of each part + treatment time of each part)"; the total treatment time depends on the number of treatment parts and the treatment time.

[0029] Furthermore, the method of obtaining the total treatment time from the treatment plan is as follows: the patient's attending physician may fill in the total treatment time when formulating the treatment plan; or the total treatment time may be obtained by predicting the treatment plan using a big data model configured in the hospital; or the total treatment time of the corresponding treatment plan may be obtained by obtaining a comprehensive statistical total treatment time from a third-party data platform connected to the hospital; or the preset comprehensive treatment time of each treatment item may be called from a database set up by the hospital and summarized and calculated, and the database may be configured with the comprehensive treatment time preset in advance by the hospital system for each treatment item in the treatment plan.

[0030] Further, the minimum time interval has different minimum time intervals according to different treatment items of different treatment plans. As a feasible implementation scheme, the minimum time interval can be set to a more generally applicable one hour.

[0031] Furthermore, of course, the minimum time interval can also be dynamically adjusted according to different time periods of the target appointment. For example, as a feasible implementation scheme, during the peak treatment time period of a hospital day or a season, the minimum time interval is adaptively increased; during the off-season treatment time period of a hospital day or a season, the minimum time interval is adaptively reduced. Of course, no matter how the minimum time interval is reduced, the minimum time interval is maintained not less than the minimum time interval medically required for the corresponding treatment item.

[0032] Furthermore, when the treatment plans for a patient's scheduled treatment are treatment appointments for more than two treatment devices, the treatment appointments for different treatment devices are split into more than two treatment appointments and sorted for the corresponding target treatment devices respectively, and when the treatment appointments are successfully sorted, the two or more treatment appointments are staggered in time for serial sorting; that is, when a treatment appointment is successful, other treatment appointments that have not yet been successfully scheduled are scheduled with the latest device treatment end time among the completed appointments as the treatment appointment start time.

[0033] Specifically, as a feasible implementation method, when the treatment plan of a patient's scheduled treatment includes treatment with a deep treatment device and a common treatment device, the deep treatment device and the common treatment device are split into two treatment appointments and the treatment appointments are sorted to the target treatment device respectively. As long as one of the devices has a vacancy, the appointment is successful; at the same time, when sorting the appointments, the two appointments will be staggered in time to be sorted in series; that is, after one treatment appointment is successfully booked, the other treatment appointment will be arranged after the treatment of the first treatment appointment is completed. Figure 4As shown in the figure, if A's treatment plan includes appointments for deep therapy equipment and general therapy equipment, the system will automatically group them into two appointments. As long as one of the equipment has a gap, the appointment is successful. Furthermore, when the system sorts the appointments, the two appointments will be staggered in time and sorted in series.

[0034] Furthermore, scheduling the patient's treatment appointment into the time period when the target treatment device first meets the total treatment duration requirement also specifically means that the patient's treatment appointment end time cannot exceed the end of get off work time.

[0035] like Figure 5 As shown in the above example, if the end time of the first appointment for another patient C exceeds the set 14:30, the system will determine that the appointment has failed. Of course, for the sake of patients' good treatment experience, the corresponding treatment appointments that have been successfully signed in and arranged in the system due to other factors are not controlled by the end of get off work time.

[0036] Furthermore, in order to meet the patient's needs for the first treatment of the day, as a feasible implementation, the first treatment appointment can be arranged before the start time of the second treatment appointment of the day when scheduling the appointments.

[0037] In addition, following the above example, Figure 2 As shown in the figure, whether the priority of C needs to be adjusted depends on the judgment of the on-site clinical teacher; if adjustment is necessary, C's first treatment appointment can be advanced to after B's first treatment appointment. The system will re-queue and delay the start time of A's second treatment appointment.

[0038] like Figure 6 As shown, the present invention also discloses an intelligent queuing system based on treatment plans, which includes: an online appointment module, a treatment plan module, a waiting management module, a treatment management module, a treatment equipment management module, a sign-in and calling module, and a waiting screen; The online appointment module has a patient appointment unit, an appointment information unit and a blacklist unit. The online appointment module runs on the WeChat applet. Patients make appointments for treatment through the patient appointment unit. The appointment information unit is used to check the appointment time and the busyness of the treatment equipment. The blacklist unit is used to restrict patients who often miss appointments from using online appointments, and remind the corresponding patients to make appointments on site at the hospital. The treatment plan module provides a template for treatment plans or programs so that therapists can develop treatment plans and store treatment plans for patients. As a management module for patient treatment plans, the treatment plan module provides an operation window for therapists to develop treatment plans through the treatment plan function. The treatment plan module contains a collection of different types of treatment plan templates, such as personal templates and department templates, so that therapists can quickly develop treatment plans directly through templates. The waiting management module provides therapists with the function of intelligently managing the waiting patient list, automatically scheduling the treatment start and end time for waiting patients based on different patient treatment plans, and maximizing treatment efficiency; The treatment management module provides support to therapists in the process of treating patients. The therapists can directly obtain the patient's treatment plan on the device and send back the treatment records. The treatment equipment management module is used by therapists to configure equipment information and treatment modes of the equipment; The large waiting screen serves as a window for displaying waiting information, so that patients can understand their waiting status in real time; The intelligent follow-up module is used to follow up on the treatment effects of patients after the end of treatment, combining the treatment plan with the treatment record data to form a business closed loop.

[0039] The sign-in and calling module includes a sign-in machine and a broadcast calling system. Through the sign-in machine, patients can directly use medical cards, ID cards, medical insurance cards and other methods to sign in for treatment. Through the in-hospital broadcast calling system, when the time has come for the patient's treatment to start, the patient will be called and notified.

[0040] Specifically, the waiting management module, treatment management module, treatment equipment management module, sign-in and calling module, intelligent follow-up module and waiting screen together constitute the treatment process management set. The treatment process management unit is a functional set for therapists to manage the patient's treatment process. It provides standard operation assistance for patients from signing in when entering the clinic, waiting in the waiting room, to receiving treatment, and following up after treatment.

[0041] In addition, this system obtains the patient's basic information and the payment status of their treatment items through the HIS system interface; and synchronizes the treatment plan and returns the treatment record to the treatment device through the transcranial magnetic stimulation treatment device interface.

[0042] Furthermore, the intelligent queuing system based on the treatment plan is associated with the check-in machine, the calling system, and the treatment equipment through a unified interface.

[0043] The present invention adopts the above technical scheme, which has the following technical effects: 1. The waiting time for medical treatment is shortened. Through the online appointment system and intelligent triage, the average waiting time for treatment is shortened from the original 2 hours to less than 20 minutes, which improves the efficiency of medical treatment. 2. Patient satisfaction is improved: According to the survey, more than 95% of patients are satisfied with the new diagnosis and treatment system, and believe that the medical process is more convenient and the service is more humane. 3. The average daily number of TMS diagnosis and treatment in medical institutions has increased: Through the invented management system, treatment equipment is intelligently allocated according to the patient's treatment plan, and the use time of the equipment is reasonably planned. The average daily number of diagnosis and treatment in medical institutions has increased from 120 people / time to 140 people / time. 4. The utilization rate of TMS equipment in medical institutions has increased: Through the management system of the present invention, treatment equipment is intelligently allocated according to the patient's treatment plan, and the equipment utilization rate of hospital medical institutions has also increased from 75% to 95%.

[0044] Obviously, the described embodiments are part of the embodiments of the present application, rather than all of the embodiments. In the absence of conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The components of the embodiments of the present application generally described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the detailed description of the embodiments of the present application is not intended to limit the scope of the application claimed for protection, but merely represents the selected embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians of the art without making creative work are within the scope of protection of the present application.

Claims

1. An intelligent queuing method based on treatment plan, characterized by: When the patient signs in for treatment, the total treatment duration corresponding to the treatment plan is obtained and bound to the corresponding treatment appointment; Based on the principle of early sign-in and early treatment, the patient's treatment appointments are arranged in sequence according to the treatment sign-in time into the time period when the target treatment equipment first meets the total treatment duration requirement to form a queuing treatment sequence; and the time interval between two adjacent treatments of the same patient meets the corresponding minimum time interval requirement.

2. The intelligent queuing method based on treatment plan according to claim 1, characterized in that: The specific steps include: Step 1: After the patient signs in for treatment, the patient obtains the treatment plan corresponding to the patient's current appointment item; Step 2, respectively obtain the corresponding total treatment time from the treatment plan of each patient, bind the total treatment time with the corresponding treatment appointment and then queue up for appointment; Step 3, determining whether the patient's current treatment appointment is the patient's first treatment appointment of the day; If yes, go to step 5; Otherwise, go to step 4; Step 4, determining whether the time interval between the start time of the current treatment appointment and the end time of the patient's previous treatment appointment meets the minimum time interval requirement of the corresponding treatment item; If yes, proceed to step 5; otherwise, change the start time of the current treatment appointment to a time after the minimum time interval requirement is met and proceed to step 5; Step 5: Based on the principle of early sign-in and early treatment, the patient's treatment appointment is arranged in sequence according to the treatment sign-in time into the time period when the target treatment device first meets the total treatment duration requirement to form a queuing treatment sequence.

3. The intelligent queuing method based on treatment plan according to claim 1, characterized in that: The total treatment time includes the patient's waiting time plus the combined treatment time for all treatment areas, where the combined treatment time for each treatment area is the sum of the preparation time for that area plus the treatment time for each area.

4. The intelligent queuing method based on treatment plan according to claim 1, characterized in that: The method of obtaining the total treatment time from the treatment plan is as follows: the patient's attending physician fills in the total treatment time when formulating the treatment plan; or the total treatment time is obtained by predicting the treatment plan through the big data model configured by the hospital; or the total treatment time of the corresponding treatment plan is retrieved from the connected third-party data platform; or the preset treatment comprehensive time of each treatment item is called from the database set up by the hospital and summarized and calculated. The database is configured with the preset treatment comprehensive time for each treatment item in the treatment plan by the hospital system in advance.

5. The intelligent queuing method based on treatment plan according to claim 1 is characterized by: The minimum time interval has different minimum time intervals for different treatment items in different treatment plans; or the minimum time interval is dynamically adjusted according to different time periods of the target appointment, adaptively increasing the minimum time interval during the peak treatment time period of the hospital day or a season; adaptively decreasing the minimum time interval during the off-season time period of the hospital day or a season; and maintaining the minimum time interval no less than the minimum time interval medically required for the corresponding treatment item.

6. The intelligent queuing method based on treatment plan according to claim 1, characterized in that: When the treatment plans of a patient's scheduled treatment include treatment appointments for more than two treatment devices, the treatment appointments for different treatment devices are split into more than two treatment appointments and sorted for the corresponding target treatment devices respectively, and when the treatment appointments are successfully sorted, the two or more treatment appointments are staggered in time for serial sorting; that is, when a treatment appointment is successful, other treatment appointments that have not yet been successfully scheduled are scheduled with the latest device treatment end time among the completed appointments as the treatment appointment start time.

7. The intelligent queuing method based on treatment plan according to claim 1, characterized in that: Scheduling the patient's treatment appointment into the time period when the target treatment device first meets the total treatment duration requirement also specifically means that the patient's treatment appointment end time cannot exceed the end of get off work time.

8. The intelligent queuing method based on treatment plan according to claim 1, characterized in that: The appointment sorting is adjusted based on the principle of giving priority to the first treatment appointment of the overlapping patient, that is, when sorting the appointments, the first treatment appointment is adjusted to be before the start time of the second treatment appointment of other patients on the same day.

9. An intelligent queuing management system based on treatment plans, adopting an intelligent queuing method based on treatment plans according to any one of claims 1 to 8, characterized in that: It includes: Online appointment module, treatment plan module, waiting management module, treatment management module, treatment equipment management module, check-in and call module, and waiting screen; The online appointment module has a patient appointment unit, an appointment information unit, and a blacklist unit. The online appointment module runs on the WeChat applet. Patients make appointments for treatment through the patient appointment unit. The appointment information unit is used to check the appointment time and the busyness of the treatment equipment. The blacklist unit is used to restrict patients who often miss appointments from using online appointments, and remind the corresponding patients to make appointments on-site at the hospital; The treatment plan module provides a template for treatment plans or programs so that therapists can develop treatment plans and store the patient's treatment plan; The treatment plan module is a management module for patient treatment plans. It provides an operation window for therapists to compile treatment plans through the treatment plan function. The treatment plan module contains a collection of different types of treatment plan templates, including personal templates and department templates, which allows therapists to quickly prepare treatment plans directly through templates; The waiting management module provides therapists with intelligent management of waiting patient lists, automatically scheduling treatment start and end times for waiting patients based on different patient treatment plans, and maximizing treatment efficiency. The treatment management module provides support to therapists in the process of treating patients. The therapists can directly obtain the patient's treatment plan on the device and send back the treatment records. The treatment equipment management module is used by therapists to configure equipment information and treatment modes of the equipment; The large waiting screen serves as a window for displaying waiting information, so that patients can understand their waiting status in real time; The sign-in and calling module includes a sign-in machine and a broadcast calling system. Patients sign in for treatment through the sign-in machine. When the time has come for the patient's treatment to start, the patient is notified through the in-hospital broadcast calling system.

10. The intelligent queuing management system based on treatment plan according to claim 9, characterized in that: It also includes an intelligent follow-up module for following up on the treatment effects after the patient's treatment, combining the treatment plan with the treatment record data to form a business closed loop.

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