Delivery intelligent evaluation system and method for medical student training
By designing the intelligent evaluation system for medical students training, the problem of low efficiency of existing evaluation methods is solved, the automated data collection and evaluation are realized, the results of intuitive assessment are generated, and the training quality is improved.
Patent Information
- Application Number
- CN202411173642.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-08-26
- Publication Date
- 2025-01-28
Smart Images

Figure CN119379054A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of medical training system management, and in particular to an intelligent assessment system and method for medical student training. Background Art
[0002] Refined process management of medical student training is of great significance to improving the clinical ability and professional quality of physicians. However, the current evaluation methods often have problems such as strong subjectivity, incomplete indicators, and low evaluation efficiency, making it difficult to accurately and objectively reflect the training effect of medical students. Summary of the invention
[0003] The purpose of the present invention is to provide an intelligent assessment system and method for medical student training in order to solve the problem of low efficiency of the existing refined process management system for medical student training.
[0004] The above-mentioned purpose of the present application is achieved through the following technical solutions: The system includes: a data acquisition module, an indicator evaluation module, a result generation module, and a data storage module; The data collection module is used to collect training data of medical students during training, and the training data includes: teaching activity data, attendance data, skill assessment data, medical record writing data, patient satisfaction survey data, theoretical examination scores, and teaching teacher evaluation data; The indicator evaluation module is used to evaluate the training data according to the preset evaluation indicators of various types of training data to obtain evaluation results; The result generation module is used to generate a table of qualified indicators according to the evaluation results; The data storage module is used to store the qualified status table of department indicators and training data.
[0005] Optionally, the system adopts a Web-based application architecture and a microservice architecture.
[0006] Optionally, the system further includes: a login module; the login module is used to verify the user's login account by means of a QR code.
[0007] Optionally, the system further includes: an assessment module; The assessment module is used to input the assessment test paper data and display it visually; The assessment module is also used to check the abnormal values of the assessment data filled in the assessment paper; Outlier verification includes: data format verification, data size verification; The assessment module is also used to feed back the results of outlier verification to the examination terminal in a visual manner.
[0008] The types of preset evaluation indicators include: medical records, teacher evaluation, attendance evaluation, skill assessment, theoretical examination, department summary, department induction education, and teaching activities.
[0009] An intelligent assessment method for medical student training, characterized in that the method comprises: S1: Get training data; set indicators for training data; S2: Evaluate the training data according to the indicators, generate a table of qualified indicators and display it visually; S3: Filter out the data in the science indicator qualification table that is less than the preset threshold, generate an abnormal data table and send it to the user terminal.
[0010] An electronic device includes a processor, a memory, a user interface and a network interface, wherein the memory is used to store instructions, the user interface and the network interface are used to communicate with other devices, and the processor is used to execute the instructions stored in the memory so that the electronic device executes an intelligent assessment system for medical student training.
[0011] A computer-readable storage medium stores instructions, and when the instructions are executed, an intelligent assessment system for medical student training is executed.
[0012] The beneficial effects of the technical solution provided by this application are: 1. The use of automated data collection technology reduces the workload and errors of manual data entry, improves the efficiency of evaluation work, and provides timely feedback to users. It solves the problem that conventional evaluation systems require a lot of time to organize and analyze evaluation data. 2. Generate a detailed table of qualified indicators for departmental discharge based on the analysis results of the indicator evaluation module. Display the evaluation results in an intuitive and clear way, which is convenient for medical students and training management departments to view, thereby promoting and improving the quality of training in all departments in a two-way manner.
[0013] 3. The training data and evaluation results of residents are stored in the data storage module to facilitate historical data query and comparative analysis. Safe and reliable data storage technology is used to ensure the confidentiality and integrity of the data. BRIEF DESCRIPTION OF THE DRAWINGS
[0014] The present application will be further described below with reference to the accompanying drawings and embodiments, in which: Figure 1 is a system module diagram in an embodiment of the present application; Figure 2 is a step diagram in an embodiment of the present application; Figure 3 It is a schematic diagram of the structure of an electronic device in an embodiment of the present application. DETAILED DESCRIPTION
[0015] In order to have a clearer understanding of the technical features, purposes and effects of the present application, the specific implementation methods of the present application are now described in detail with reference to the accompanying drawings.
[0016] The embodiments of the present application provide an intelligent assessment system for medical student training.
[0017] Please refer to Figure 1 , Figure 1 This is a system module diagram of an intelligent assessment system for medical student training in an embodiment of the present application, including: Data collection module, indicator evaluation module, result generation module, data storage module; The data collection module is used to collect training data of medical students during training, and the training data includes: teaching activity data, attendance data, skill assessment data, medical record writing data, patient satisfaction survey data, theoretical examination scores, and teaching teacher evaluation data; The indicator evaluation module is used to evaluate the training data according to the preset evaluation indicators of various types of training data to obtain evaluation results; The result generation module is used to generate a table of qualified indicators according to the evaluation results; The data storage module is used to store the qualified status table of department indicators and training data.
[0018] Specifically, the training data sources include the hospital teaching comprehensive management system, etc. The system can analyze historical evaluation data, identify problems and deficiencies in the training process, and provide a basis for optimizing the training program. Organize medical education experts, clinical experts, etc. to jointly formulate corresponding clinical skills evaluation indicators based on the characteristics of different departments and specialties, and regularly revise and improve them according to actual conditions. The unified evaluation indicator system and process make training management more standardized and normalized, which is conducive to ensuring the consistency of training quality. At the same time, transparent evaluation results will also help to increase the attention and participation of residents in training.
[0019] The system adopts a web-based application architecture as well as a microservices architecture.
[0020] Specifically, advanced software development technology and architecture, such as Web-based application architecture, microservice architecture, etc., are adopted to ensure the stability and scalability of the system. A user-friendly interface is designed to facilitate operation by medical students, teaching teachers and training managers. The system of the present invention is built based on the Web-based application architecture and microservice architecture and SQL Server database platform, which is flexible and easy to use, has high scalability, high security, stability and reliability. The main data in the system supports batch export and archiving, and can be backed up and protected regularly: the user authorization mechanism realizes the management of user security login, user data project modification, etc., so that the system is in a safe protection state. Easy to maintain, easy to expand and upgrade. The separation of front and back ends of system services integrates powerful back-end management with efficient and flexible front-end applications, and has high scalability. Authorized users can log in and use the system through the network using a network browser on their computers no matter where they are, and have strong scalability.
[0021] The system also includes: a login module; the login module is used to verify the user's login account through a QR code.
[0022] The system further comprises: an assessment module; The assessment module is used to input the assessment test paper data and display it visually; The assessment module is also used to check the abnormal values of the assessment data filled in the assessment paper; Outlier verification includes: data format verification, data size verification; The assessment module is also used to feed back the results of outlier verification to the examination terminal in a visual manner.
[0023] The types of preset evaluation indicators include: medical records, teacher evaluation, attendance evaluation, skill assessment, theoretical examination, department summary, department induction education, and teaching activities.
[0024] An intelligent assessment method for medical student training, comprising: S1: Get training data; set indicators for training data; S2: Evaluate the training data according to the indicators, generate a table of qualified indicators and display it visually; S3: Filter out the data in the science indicator qualification table that is less than the preset threshold, generate an abnormal data table and send it to the user terminal.
[0025] Specifically, the present invention takes hierarchical assessment as the management core, establishes an assessment management and evaluation system with students, teachers, professional bases, management personnel and other categories as management units, and forms a complete system with daily resident training teaching activities, assessment items, and management needs to meet the needs of resident training management work and effectively improve the training effect and management efficiency. The system is based on the standardized management process of hospital residents, controls and manages important nodes in the process, and realizes online management of personnel from scheduling, admission, and graduation to graduation. It realizes functions including online management of admission and exit, online management of training process, hierarchical assessment of teacher-level administrators, hierarchical design of special subsidies, professional base training quality assessment, and staged evaluation of students and teachers, and realizes seamless docking of management processes, data interaction and the established education management platform. The focus has shifted from the previous process data management to performance management, from quantity management to quality management, with a focus on improving the quality of resident training management. The performance appraisal process in the system fully meets the actual management needs of the hospital. It automatically calculates the performance scores of residents, teaching teachers, and department secretaries through advanced scoring tables and performance appraisal algorithms, and automatically calculates the amount of appraisal bonuses based on the scores, fully realizing the automated calculation from scores to bonuses, helping management departments improve management efficiency.
[0026] The present application also discloses an electronic device. Figure 3 , Figure 3 The electronic device 500 may include: at least one processor 501 , at least one network interface 504 , a user interface 503 , a memory 505 , and at least one communication bus 502 .
[0027] The communication bus 502 is used to realize the connection and communication between these components.
[0028] The user interface 503 may include a display screen, and the optional user interface 503 may also include a standard wired interface or a wireless interface.
[0029] The network interface 504 may optionally include a standard wired interface or a wireless interface (such as a WI-FI interface).
[0030] The present application also discloses a computer-readable storage medium storing a plurality of instructions suitable for a processor to load in order to execute the above-mentioned intelligent assessment system for medical student training.
[0031] The above are only exemplary embodiments of the present disclosure and cannot be used to limit the scope of the present disclosure. That is, any equivalent changes and modifications made according to the teachings of the present disclosure are still within the scope of the present disclosure. After considering the disclosure of the specification, those skilled in the art will easily think of other embodiments of the present disclosure.
[0032] This application is intended to cover any variation, use or adaptation of the present disclosure, which follows the general principles of the present disclosure and includes common knowledge or customary technical means in the art not described in the present disclosure. The description and examples are to be regarded as exemplary only, and the scope and spirit of the present disclosure are defined by the claims.
Claims
1. An intelligent assessment system for medical student training, characterized in that: The system includes: a data acquisition module, an indicator evaluation module, a result generation module, and a data storage module; The data collection module is used to collect training data of medical students during training, and the training data includes: teaching activity data, attendance data, skill assessment data, medical record writing data, patient satisfaction survey data, theoretical examination scores, and teaching teacher evaluation data; The indicator evaluation module is used to evaluate the training data according to the preset evaluation indicators of various types of training data to obtain evaluation results; The result generation module is used to generate a table of qualified indicators according to the evaluation results; The data storage module is used to store the qualified status table of department indicators and training data.
2. The intelligent assessment system for medical student training as claimed in claim 1, characterized in that: The system adopts a web-based application architecture as well as a microservices architecture.
3. The intelligent assessment system for medical student training as claimed in claim 1, characterized in that: The system also includes: a login module; the login module is used to verify the user's login account through a QR code.
4. The intelligent assessment system for medical student training as claimed in claim 1, characterized in that: The system further comprises: an assessment module; The assessment module is used to input the assessment test paper data and display it visually; The assessment module is also used to check the abnormal values of the assessment data filled in the assessment paper; Outlier verification includes: data format verification, data size verification; The assessment module is also used to feed back the results of outlier verification to the examination terminal in a visual manner.
5. The intelligent assessment system for medical student training as claimed in claim 1, characterized in that: The types of preset evaluation indicators include: medical records, teacher evaluation, attendance evaluation, skill assessment, theoretical examination, department summary, department induction education, and teaching activities.
6. An intelligent assessment method for medical student training, based on the intelligent assessment system for medical student training as claimed in claims 1-5, characterized in that: The method comprises: S1: Get training data; set indicators for training data; S2: Evaluate the training data according to the indicators, generate a table of qualified indicators and display it visually; S3: Filter out the data in the science indicator qualification table that is less than the preset threshold, generate an abnormal data table and send it to the user terminal.
7. An electronic device, characterized in that: The electronic device comprises a processor (501), a memory (505), a user interface (503) and a network interface (504), wherein the memory (505) is used to store instructions, the user interface (503) and the network interface (504) are used to communicate with other devices, and the processor (501) is used to execute the instructions stored in the memory (505) so that the electronic device executes the method according to any one of claim 6.
8. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores instructions, and when the instructions are executed by a computer, the method according to any one of claims 6 is executed.