Medical intelligent follow-up visit management system based on large model

Abstract

The invention discloses a medical intelligent follow-up visit management system based on a large model, and belongs to the technical field of medical intelligent follow-up visit management. The method comprises the steps of discharging a patient from a hospital, automatically creating a follow-up visit plan by a system, sending the follow-up visit plan to the patient, judging follow-up visit time, automatically sending follow-up visit reminding / manually sending the follow-up visit reminding by a doctor, completing follow-up visit by the patient, judging a follow-up visit result, recording the follow-up visit result / informing the doctor, evaluating by the doctor, adjusting the follow-up visit plan according to an evaluation result, and ending the follow-up visit. Whether further follow-up visit is needed or not is judged, a personalized follow-up visit plan can be automatically created, reminding is automatically sent according to the follow-up visit time, the workload of medical staff is greatly relieved, whether the follow-up visit result is normal or not can be automatically judged according to the follow-up visit result of the patient, the result is recorded or a doctor is notified, and the doctor can rapidly obtain the health condition of the patient; therefore, a more accurate medical decision can be made.

Description

Technical Field

[0001] The present invention relates to the field of medical intelligent follow-up management, and in particular to a medical intelligent follow-up management system based on a large model. Background Art

[0002] With the continuous advancement of information technology, the medical field has also ushered in a wave of information development. Medical informatization aims to improve the quality and efficiency of medical services and optimize the allocation of medical resources through information technology. In this process, the intelligent follow-up management system, as an important part of medical informatization, has gradually emerged. The system uses modern information technology to achieve continuous tracking, care and health management of patients after discharge, thereby improving the continuity and effectiveness of medical services. Summary of the invention

[0003] The purpose of the present invention is to provide a medical intelligent follow-up management system based on a large model to solve the problem that the existing medical intelligent follow-up management proposed in the above background technology is not convenient for reminders and creation of personalized follow-up plans, resulting in a heavy workload for medical staff, and is not convenient for automatically judging whether it is normal based on the patient's follow-up results, and is not convenient for quickly obtaining the patient's health status, resulting in inconvenience in making more accurate medical decisions. At the same time, it is not convenient for patients to quickly receive follow-up plans, resulting in low patient participation and satisfaction.

[0004] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: the equipment used in the printing process includes S1 patient discharge, S2 system automatically creates a follow-up plan, S3 the follow-up plan is sent to the patient, S4 follow-up time judgment, S5 automatic sending of follow-up reminder / doctor manually sends follow-up reminder, S6 patient completes follow-up, S7 follow-up result judgment, S8 records follow-up results / notifies the doctor, S9 doctor evaluates, S10 adjusts the follow-up plan according to the evaluation results, S11 follow-up ends, S12 whether further follow-up is needed, and the S1 patient discharge includes:

[0005] S1.1 When the patient completes treatment and is discharged, the system triggers the follow-up process;

[0006] The S2 system automatically creates a follow-up plan including:

[0007] S2.1 Based on the patient's condition and treatment, the system automatically generates a personalized follow-up plan;

[0008] As a further preferred embodiment of the present technical solution: the S3 follow-up plan sent to the patient includes:

[0009] S3.1 Push the follow-up plan to the patient via SMS, email or App;

[0010] The S4 follow-up time determination includes:

[0011] S4.1 The system determines whether the follow-up time has arrived;

[0012] As a further preferred embodiment of the present technical solution: the automatic sending of the follow-up reminder by S5 / the manual sending of the follow-up reminder by the doctor includes:

[0013] S5.1 Based on the follow-up time, the system automatically or the doctor manually sends a follow-up reminder;

[0014] The S6 patients completed follow-up including:

[0015] S6.1 Patients complete follow-up visits as reminded;

[0016] As a further preferred embodiment of the present technical solution: the S7 follow-up result determination includes:

[0017] S7.1 The system determines whether the result is normal based on the follow-up information submitted by the patient;

[0018] As a further preferred embodiment of the present technical solution: the step S8 of recording the follow-up results / notifying the doctor includes:

[0019] S8.1 Based on the follow-up results, the results are systematically recorded or the physician is notified for further evaluation;

[0020] As a further preferred embodiment of the present technical solution: the evaluation performed by the S9 doctor includes:

[0021] S9.1 The physician makes an assessment based on the patient's follow-up results;

[0022] As a further preferred embodiment of the present technical solution: the step S10 of adjusting the follow-up plan according to the evaluation results includes:

[0023] S10.1 The doctor adjusts the follow-up plan based on the evaluation results and can adjust the time of the next follow-up according to the patient's improvement. Let F be the current follow-up interval, F' be the new follow-up interval, and I be the improvement factor (determined according to the patient's recovery). Then: F' = F / I. If I>1, it means that the patient's condition has improved and the follow-up interval can be appropriately extended; if I<1, the follow-up interval is shortened to monitor the patient's condition more closely.

[0024] As a further preferred embodiment of the present technical solution: the end of the S11 follow-up includes:

[0025] S11.1 The follow-up process ends after all follow-ups are completed;

[0026] As a further preferred embodiment of the present technical solution: whether S12 requires further follow-up includes:

[0027] S12.1 The system determines whether further follow-up is needed and, if so, recreates the follow-up plan;

[0028] As a further preferred embodiment of the present technical solution: the S2 system automatically creates a follow-up plan for automatically generating a personalized follow-up plan based on the patient's specific condition, treatment plan, medical history and doctor's advice.

[0029] Compared with the prior art, the present invention has the following beneficial effects:

[0030] 1. In the present invention, the system can automatically create a personalized follow-up plan and automatically send reminders according to the follow-up time, which greatly reduces the workload of medical staff;

[0031] 2. In the present invention, the system can automatically determine whether the patient's follow-up results are normal, and record the results or notify the doctor, so that the doctor can obtain the patient's health status more quickly and make more accurate medical decisions;

[0032] 3. In the present invention, patients can receive follow-up plans through convenient methods such as text messages, emails or apps, which improves patient participation and satisfaction. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 The overall structural flow chart of the medical intelligent follow-up management system based on the large model of the present invention;

[0034] Figure 2 The partial process diagram of the medical intelligent follow-up management system based on the large model of the present invention is shown in FIG. Figure 1 ;

[0035] Figure 3 The partial process diagram of the medical intelligent follow-up management system based on the large model of the present invention is shown in FIG. Figure 2 ;

[0036] Figure 4 The partial process diagram of the medical intelligent follow-up management system based on the large model of the present invention is shown in FIG. Figure 3 . DETAILED DESCRIPTION

[0037] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0038] Example

[0039] See also Figure 1-Figure 4 As shown, the present invention provides a technical solution: the equipment used in the printing process includes S1 patient discharge, S2 system automatically creates a follow-up plan, S3 the follow-up plan is sent to the patient, S4 follow-up time judgment, S5 automatic sending of follow-up reminder / doctor manually sends follow-up reminder, S6 patient completes follow-up, S7 follow-up result judgment, S8 records follow-up result / notifies doctor, S9 doctor evaluates, S10 adjusts the follow-up plan according to the evaluation result, S11 follow-up ends, S12 whether further follow-up is needed, and the S1 patient discharge includes:

[0040] S1.1 When the patient completes treatment and is discharged, the system triggers the follow-up process;

[0041] The S2 system automatically creates a follow-up plan including:

[0042] S2.1 Based on the patient's condition and treatment, the system automatically generates a personalized follow-up plan.

[0043] In this embodiment, specifically: the S3 follow-up plan sent to the patient includes:

[0044] S3.1 Push the follow-up plan to the patient via SMS, email or App;

[0045] The S4 follow-up time determination includes:

[0046] S4.1 The system determines whether the follow-up time has arrived.

[0047] In this embodiment, specifically: the automatic sending of the follow-up reminder by S5 / the manual sending of the follow-up reminder by the doctor includes:

[0048] S5.1 Based on the follow-up time, the system automatically or the doctor manually sends a follow-up reminder;

[0049] The S6 patients completed follow-up including:

[0050] S6.1 Patients complete follow-up as reminded.

[0051] In this embodiment, specifically: the S7 follow-up result determination includes:

[0052] The S7.1 system determines whether the results are normal based on the follow-up information submitted by the patient.

[0053] In this embodiment, specifically: S8 recording the follow-up results / notifying the doctor includes:

[0054] S8.1 Based on the follow-up results, the system records the results or notifies the physician for further evaluation.

[0055] In this embodiment, specifically: the evaluation performed by the S9 doctor includes:

[0056] S9.1 The physician makes an assessment based on the patient's follow-up results.

[0057] In this embodiment, specifically: the step S10 of adjusting the follow-up plan according to the evaluation result includes:

[0058] S10.1 The doctor adjusts the follow-up plan based on the evaluation results and can adjust the time of the next follow-up according to the patient's improvement. Let F be the current follow-up interval, F' be the new follow-up interval, and I be the improvement factor (determined based on the patient's recovery). Then: F' = F / I. If I>1, it means that the patient's condition has improved and the follow-up interval can be appropriately extended. If I<1, the follow-up interval is shortened to monitor the patient's condition more closely.

[0059] In this embodiment, specifically: the end of the S11 follow-up includes:

[0060] S11.1 The follow-up process ends after all follow-up visits are completed.

[0061] In this embodiment, specifically: whether S12 requires further follow-up includes:

[0062] S12.1 The system determines whether further follow-up is required and, if so, recreates the follow-up plan.

[0063] In this embodiment, specifically: the S2 system automatically creates a follow-up plan for automatically generating a personalized follow-up plan based on the patient's specific condition, treatment plan, medical history records and doctor's advice.

[0064] Working principle or structural principle: When the patient completes treatment and is discharged from the hospital, the system will automatically trigger the follow-up process. This step is the starting point of follow-up management, marking that the patient officially enters the monitoring and attention scope of the system. The system will automatically generate a personalized follow-up plan based on the patient's specific condition, treatment plan, medical history record and doctor's advice. This plan specifies the time, content and method of follow-up in detail to ensure the pertinence and effectiveness of follow-up work. The generated follow-up plan will be pushed to the patient through SMS, email or App to ensure that the patient can understand and participate in the follow-up process in a timely manner. The patient completes the follow-up according to the reminder and submits the relevant follow-up information. The system will automatically determine whether the follow-up time has arrived, and automatically or manually send a follow-up reminder based on the judgment result. This step ensures the timeliness and continuity of follow-up work and avoids medical risks caused by time delays. The system will determine whether the result is normal based on the follow-up information submitted by the patient. If the result is abnormal, the system will immediately record and notify the doctor for further evaluation. If the result is normal, the system will also record the result for subsequent reference. The doctor will evaluate the patient's follow-up results and adjust the follow-up plan based on the evaluation results. The adjustments may include follow-up time, follow-up content, and follow-up methods. The system will automatically update the follow-up plan according to the doctor's adjustment instructions to ensure the continuity and effectiveness of the follow-up work. When adjusting the follow-up plan, the system will consider the patient's improvement and dynamically adjust the follow-up interval (F') according to the improvement factor (I). If the patient's condition improves (I>1), the follow-up interval can be appropriately extended; if the patient's condition worsens (I<1), the follow-up interval needs to be shortened to monitor the patient's condition more closely. When all follow-ups are completed, the follow-up process will end. However, the system will determine whether further follow-up is needed based on the patient's specific situation. If further follow-up is required, the system will recreate the follow-up plan and continue the follow-up process.

[0065] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A medical intelligent follow-up management system based on a large model, characterized by: Including S1 patient discharge, S2 system automatically creates follow-up plan, S3 follow-up plan is sent to the patient, S4 follow-up time judgment, S5 automatic follow-up reminder / doctor manually sends follow-up reminder, S6 patient completes follow-up, S7 follow-up result judgment, S8 records follow-up result / notifies doctor, S9 doctor evaluates, S10 adjusts follow-up plan according to evaluation results, S11 follow-up ends, S12 whether further follow-up is needed, the S1 patient discharge includes: S1.1 When the patient completes treatment and is discharged, the system triggers the follow-up process; The S2 system automatically creates a follow-up plan including: S2.1 Based on the patient's condition and treatment, the system automatically generates a personalized follow-up plan.

2. The medical intelligent follow-up management system based on a large model according to claim 1 is characterized in that: The S3 follow-up plan sent to patients includes: S3.1 Push the follow-up plan to the patient via SMS, email or App; The S4 follow-up time determination includes: S4.1 The system determines whether the follow-up time has arrived.

3. The medical intelligent follow-up management system based on a large model according to claim 2 is characterized in that: The S5 automatically sends the follow-up reminder / the doctor manually sends the follow-up reminder including: S5.1 Based on the follow-up time, the system automatically or the doctor manually sends a follow-up reminder; The S6 patients completed follow-up including: S6.1 Patients complete follow-up as reminded.

4. The medical intelligent follow-up management system based on a large model according to claim 3 is characterized in that: The S7 follow-up result judgment includes: The S7.1 system determines whether the results are normal based on the follow-up information submitted by the patient.

5. The medical intelligent follow-up management system based on a large model according to claim 4 is characterized in that: The S8 records the follow-up results / notifies the doctor including: S8.1 Based on the follow-up results, the system records the results or notifies the physician for further evaluation.

6. The medical intelligent follow-up management system based on a large model according to claim 5 is characterized in that: The S9 doctor's assessment includes: S9.1 The physician makes an assessment based on the patient's follow-up results.

7. The medical intelligent follow-up management system based on a large model according to claim 6 is characterized in that: The S10 adjustment of the follow-up plan based on the evaluation results includes: S10.1 The doctor adjusts the follow-up plan based on the evaluation results and can adjust the time of the next follow-up according to the patient's improvement. Let F be the current follow-up interval, F' be the new follow-up interval, and I be the improvement factor (determined based on the patient's recovery). Then: F' = F / I. If I>1, it means that the patient's condition has improved and the follow-up interval can be appropriately extended. If I<1, the follow-up interval is shortened to monitor the patient's condition more closely.

8. The medical intelligent follow-up management system based on a large model according to claim 7 is characterized in that: The S11 follow-up visit includes: S11.1 The follow-up process ends after all follow-up visits are completed.

9. The medical intelligent follow-up management system based on a large model according to claim 8, characterized in that: Whether S12 requires further follow-up includes: S12.1 The system determines whether further follow-up is required and, if so, recreates the follow-up plan.

10. The medical intelligent follow-up management system based on a large model according to claim 9, characterized in that: The S2 system automatically creates a follow-up plan for automatically generating a personalized follow-up plan based on the patient's specific condition, treatment plan, medical history and doctor's advice.

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