Personalized management system for improving diagnosis and treatment capability of grassroots doctors

Abstract

The invention discloses a personalized management system for improving the diagnosis and treatment capability of grassroots doctors, and the system comprises a personalized diagnosis and treatment management system which is connected with a doctor diagnosis and treatment consultation system, an organization training management system, an administrator personalized learning management system, and a model building management system. The doctor diagnosis and treatment consultation system, the organization training management system and the administrator personalized learning management system are all connected with the model establishment management system, and the doctor diagnosis and treatment consultation system is connected with the organization training management system. According to the personalized management system for improving the diagnosis and treatment capability of the primary doctors, the learning efficiency and the learning quality of the primary doctors are improved, the primary doctors obtain personalized learning plans, and meanwhile, targeted training is organized for administrators, so that more pertinence is achieved, and the diagnosis and treatment capability of the primary doctors is improved. Accurate matching is carried out from organizing training content and notifying requirements of doctors participating in training, and the diagnosis and treatment ability of primary doctors in the region is improved.

Description

Technical Field

[0001] The present invention relates to the field of medical management, and in particular to a personalized management system for improving the diagnosis and treatment capabilities of primary care doctors. Background Art

[0002] Medical education for grassroots doctors is an indispensable part of grassroots capacity improvement. With the development of information technology, the way people obtain information is no longer limited to autonomous searches or regular training activities organized by targeted organizers. Especially for some grassroots doctors with relatively weak diagnosis and treatment capabilities, the medical learning and training resources they can obtain are relatively more limited. At present, grassroots doctors can only learn through some self-retrieved learning, video courseware viewing, and some regularly held online and offline training. The learning content is relatively scattered and cannot be matched to the individual situation of grassroots doctors, and the learning efficiency and quality are low.

[0003] Currently, there are many manufacturers that provide online learning for doctors, but they all appear in the form of tool platforms, which mainly rely on the active operation of managers and the management of learning resources. They are unable to provide relevant learning suggestions and learning resource recommendations based on individual doctors' situations. For this reason, we propose a personalized management system for improving the diagnosis and treatment capabilities of primary care doctors. Summary of the invention

[0004] Technical problems solved: In view of the shortcomings of the existing technology, the present invention provides a personalized management system for improving the diagnosis and treatment capabilities of grassroots doctors. In order to improve the learning efficiency and quality of grassroots doctors, grassroots doctors can obtain personalized learning plans. At the same time, the targeted training organized for administrators can be more targeted. Accurate matching can be carried out from the content of organizing training and the needs of notifying doctors participating in the training, thereby improving the diagnosis and treatment capabilities of grassroots doctors in the region, which can effectively solve the problems in the background technology.

[0005] Technical solution: To achieve the above-mentioned purpose, the technical solution adopted by the present invention is: a personalized management system for improving the diagnosis and treatment capabilities of grassroots doctors, including a personalized diagnosis and treatment management system, which is connected to a doctor's diagnosis and treatment consultation system, an organizational training management system, an administrator's personalized learning management system and a model establishment management system. The doctor's diagnosis and treatment consultation system, the organizational training management system, and the administrator's personalized learning management system are all connected to the model establishment management system, and the doctor's diagnosis and treatment consultation system and the administrator's personalized learning management system are both connected to the organizational training management system.

[0006] As a preferred technical solution of the present application, an active inquiry module, a learning formulation module and a resource recommendation module are connected between the personalized diagnosis and treatment management system and the doctor diagnosis and treatment consultation system.

[0007] As a preferred technical solution of the present application, a doctor demand monitoring module, a training content selection module and a diagnosis and treatment precision matching module are connected between the personalized diagnosis and treatment management system and the organizational training management system.

[0008] As a preferred technical solution of the present application, a personalized learning plan module, a learning content recommendation module and a course resource upload module are connected between the personalized diagnosis and treatment management system and the administrator's personalized learning management system.

[0009] As a preferred technical solution of the present application, a learning demand model, a learning resource model and a learning content model are connected between the personalized diagnosis and treatment management system and the model establishment management system.

[0010] As a preferred technical solution of the present application, the doctor's diagnosis and treatment consultation system provides diagnosis and treatment knowledge consulting services during the doctor's daily diagnosis and treatment, collects the doctor's personalized needs, including the doctor's active inquiries and active proposals for the content he wants to learn, and customizes a learning management plan for him, including recommendations of different types of medical learning resources, training conferences, and typical medical record references. By analyzing the diagnosis and treatment history, query records and feedback of grassroots doctors, it provides personalized knowledge recommendations.

[0011] As a preferred technical solution of the present application, the administrator's personalized learning management system recommends the content that most doctors need to learn based on the personalized learning plans of grassroots doctors in the region, organizes relevant training for doctors with relevant needs based on feedback, and uploads relevant course resources.

[0012] As a preferred technical solution of the present application, the model establishment management system provides medical knowledge question and answer services for grassroots doctors, collects personalized needs of grassroots doctors, and forms medical knowledge learning needs. The administrator then recommends based on the needs and the model recommends based on the needs to provide grassroots doctors with the required types of learning resources, forming an effective supply and demand closed loop, and efficiently and personalized improving the diagnosis and treatment capabilities of each grassroots doctor in the region.

[0013] Beneficial effects: Compared with the prior art, the present invention provides a personalized management system for improving the diagnosis and treatment capabilities of grassroots doctors, which has the following beneficial effects: This personalized management system for improving the diagnosis and treatment capabilities of grassroots doctors can improve the learning efficiency and quality of grassroots doctors, allow grassroots doctors to obtain personalized learning plans, and at the same time organize targeted training for administrators to be more targeted, and make accurate matches from the content of organizing training and the needs of notifying doctors to participate in training, so as to improve the diagnosis and treatment capabilities of grassroots doctors in the region; for grassroots doctors, diagnosis and treatment knowledge consulting services can be provided during the doctors' daily diagnosis and treatment, and the doctors' personalized needs can be collected, including the doctors' active inquiries and the content they want to learn, and customized learning management plans can be made for them, including recommendations of different types of medical learning resources, training conferences, and typical medical records. Reference recommendations; provide personalized knowledge recommendations by analyzing the diagnosis and treatment history, query records and feedback of grassroots doctors; for regional administrators, based on the personalized learning plans of grassroots doctors in the region, recommend content that most doctors need to learn, and administrators can organize relevant training for doctors with relevant needs based on feedback, or upload relevant course resources; by providing medical knowledge question and answer services for grassroots doctors, collect personalized needs of grassroots doctors, and form medical knowledge learning needs, and then the administrator recommends based on the needs, or the model recommends based on the needs, and provides grassroots doctors with the required types of learning resources, forming an effective supply and demand closed loop, and efficiently and personalized Improve the diagnosis and treatment capabilities of each grassroots doctor in the region, the entire personalized management system for improving the diagnosis and treatment capabilities of grassroots doctors has a simple structure, is easy to operate, and has better results than traditional methods. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 The figure is a schematic diagram of the overall structure of a personalized management system for improving the diagnosis and treatment capabilities of primary care doctors according to the present invention.

[0015] Figure 2 The present invention is a structural diagram of an organization training management system in a personalized management system for improving the diagnosis and treatment capabilities of primary care doctors.

[0016] Figure 3 The present invention is a structural schematic diagram of a doctor diagnosis and treatment consultation system in a personalized management system for improving the diagnosis and treatment capabilities of primary care doctors.

[0017] Figure 4 The present invention is a structural diagram of a model establishment management system in a personalized management system for improving the diagnosis and treatment capabilities of primary care doctors.

[0018] Figure 5 The present invention is a structural schematic diagram of a personalized learning management system for administrators in a personalized management system for improving the diagnosis and treatment capabilities of primary care doctors. DETAILED DESCRIPTION

[0019] The technical scheme of the present invention will be clearly and completely described below in conjunction with the accompanying drawings and specific embodiments, but it will be understood by those skilled in the art that the following described embodiments are part of embodiments of the present invention, rather than all embodiments, and are only used to illustrate the present invention, and should not be considered as limiting the scope of the present invention. Based on the embodiments in the present invention, all other embodiments obtained by those of ordinary skill in the art without making creative work are within the scope of protection of the present invention. If specific conditions are not specified in the embodiments, they are carried out according to normal conditions or conditions recommended by the manufacturer. If the manufacturer is not specified in the reagents or instruments used, they are all conventional products that can be purchased commercially.

[0020] In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicating the orientation or positional relationship, are based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first", "second", and "third" are used for descriptive purposes only, and cannot be understood as indicating or implying relative importance.

[0021] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0022] like Figure 1-5 As shown, a personalized management system for improving the diagnosis and treatment capabilities of grassroots doctors includes a personalized diagnosis and treatment management system. The personalized diagnosis and treatment management system is connected to the doctor diagnosis and treatment consultation system, the organization training management system, the administrator personalized learning management system and the model establishment management system. The doctor diagnosis and treatment consultation system, the organization training management system and the administrator personalized learning management system are all connected to the model establishment management system. The doctor diagnosis and treatment consultation system and the administrator personalized learning management system are both connected to the organization training management system. In order to improve the learning efficiency and quality of grassroots doctors, grassroots doctors can obtain personalized learning plans. At the same time, targeted training organized for administrators can be more targeted, and accurate matching can be carried out from the content of the organized training and the needs of notifying the doctors to participate in the training, so as to improve the diagnosis and treatment capabilities of grassroots doctors in the region.

[0023] Furthermore, an active inquiry module, a learning formulation module and a resource recommendation module are connected between the personalized diagnosis and treatment management system and the doctor diagnosis and treatment consultation system.

[0024] Furthermore, the personalized diagnosis and treatment management system and the organizational training management system are connected with a doctor demand monitoring module, a training content selection module and a diagnosis and treatment precision matching module.

[0025] Furthermore, a personalized learning plan module, a learning content recommendation module and a course resource upload module are connected between the personalized diagnosis and treatment management system and the administrator's personalized learning management system.

[0026] Furthermore, the personalized diagnosis and treatment management system and the model establishment management system are connected with a learning demand model, a learning resource model and a learning content model.

[0027] Furthermore, the doctor's diagnosis and treatment consultation system provides diagnosis and treatment knowledge consultation services during the doctor's daily diagnosis and treatment, collects the doctor's personalized needs, including the doctor's active inquiries and the content he or she actively proposes to learn, and customizes a learning management plan for him or her, including recommendations for different types of medical learning resources, training conferences, and typical medical records. By analyzing the diagnosis and treatment history, query records, and feedback of grassroots doctors, it provides personalized knowledge recommendations.

[0028] Furthermore, the administrator's personalized learning management system recommends the content that most doctors need to learn based on the personalized learning plans of primary care doctors in the region, organizes relevant training for doctors with relevant needs based on feedback, and uploads relevant course resources.

[0029] Furthermore, the model establishes a management system that provides medical knowledge question and answer services for primary doctors, collects personalized needs of primary doctors, and forms medical knowledge learning needs. The administrator then recommends based on the needs and the model recommends based on the needs to provide primary doctors with the required types of learning resources, forming an effective supply and demand closed loop, and efficiently and personalized improving the diagnosis and treatment capabilities of each primary doctor in the region.

[0030] Working principle: To improve the learning efficiency and quality of primary care doctors, primary care doctors can obtain personalized learning plans. At the same time, targeted training organized for administrators can be more targeted. From the content of the training and the needs of the doctors who participate in the training, accurate matching can be carried out to improve the diagnosis and treatment capabilities of primary care doctors in the region.

[0031] For primary care doctors, we can provide diagnosis and treatment knowledge consulting services during their daily diagnosis and treatment, collect doctors' personalized needs, including doctors' proactive inquiries and the content they want to learn, and customize learning management plans for them, including recommendations for different types of medical learning resources, training meetings, and typical medical record references; and provide personalized knowledge recommendations by analyzing primary care doctors' diagnosis and treatment history, query records, and feedback.

[0032] For regional administrators, they can recommend content that most doctors need to learn based on the personalized learning plans of primary care doctors in the region. Based on the feedback, administrators can organize relevant training for doctors with relevant needs or upload relevant course resources.

[0033] By providing medical knowledge question and answer services for grassroots doctors, we collect their personalized needs and form medical knowledge learning needs. The administrator then recommends based on the needs, or the model recommends based on the needs, providing grassroots doctors with the required types of learning resources, forming an effective supply and demand closed loop, and efficiently and personalized improving the diagnosis and treatment capabilities of each grassroots doctor in the region.

[0034] It should be noted that, in this article, relational terms such as first and second (number one, number two), etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "including one..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0035] The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited by the above embodiments, and the above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, and these changes and improvements all fall within the scope of the present invention to be protected.

Claims

1. A personalized management system for improving the diagnosis and treatment capabilities of primary care doctors, including a personalized diagnosis and treatment management system, characterized in that: The personalized diagnosis and treatment management system is connected to the doctor's diagnosis and treatment consultation system, the organization training management system, the administrator's personalized learning management system and the model establishment management system. The doctor's diagnosis and treatment consultation system, the organization training management system, and the administrator's personalized learning management system are all connected to the model establishment management system. The doctor's diagnosis and treatment consultation system and the administrator's personalized learning management system are both connected to the organization training management system.

2. According to claim 1, a personalized management system for improving the diagnosis and treatment capabilities of primary care doctors is characterized by: An active inquiry module, a learning formulation module and a resource recommendation module are connected between the personalized diagnosis and treatment management system and the doctor diagnosis and treatment consultation system.

3. According to claim 1, a personalized management system for improving the diagnosis and treatment capabilities of primary care doctors is characterized by: A doctor demand monitoring module, a training content selection module and a diagnosis and treatment precision matching module are connected between the personalized diagnosis and treatment management system and the organizational training management system.

4. According to claim 1, a personalized management system for improving the diagnosis and treatment capabilities of primary care doctors is characterized by: The personalized diagnosis and treatment management system and the administrator's personalized learning management system are connected with a personalized learning plan module, a learning content recommendation module and a course resource upload module.

5. According to claim 1, a personalized management system for improving the diagnosis and treatment capabilities of primary care doctors is characterized by: The personalized diagnosis and treatment management system and the model establishment management system are connected with a learning demand model, a learning resource model and a learning content model.

6. According to claim 1, a personalized management system for improving the diagnosis and treatment capabilities of primary care doctors is characterized by: The doctor's diagnosis and treatment consultation system provides diagnosis and treatment knowledge consultation services during the doctor's daily diagnosis and treatment, collects the doctor's personalized needs, including the doctor's active inquiries and the content he or she actively proposes to learn, and customizes a learning management plan for him or her, including recommendations of different types of medical learning resources, training conferences, and typical medical record references. By analyzing the diagnosis and treatment history, query records and feedback of grassroots doctors, it provides personalized knowledge recommendations.

7. According to claim 1, a personalized management system for improving the diagnosis and treatment capabilities of primary care doctors is characterized by: The administrator's personalized learning management system recommends the content that most doctors need to learn based on the personalized learning plans of grassroots doctors in the region, organizes relevant training for doctors with relevant needs based on feedback, and uploads relevant course resources.

8. According to claim 1, a personalized management system for improving the diagnosis and treatment capabilities of primary care doctors is characterized by: The model establishment management system provides medical knowledge question and answer services for grassroots doctors, collects personalized needs of grassroots doctors, and forms medical knowledge learning needs. The administrator then recommends based on the needs and the model recommends based on the needs to provide grassroots doctors with the required types of learning resources, forming an effective supply and demand closed loop, and efficiently and personalized improving the diagnosis and treatment capabilities of each grassroots doctor in the region.

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