Information management system based on physician training base

Abstract

The invention relates to the field of information management, in particular to an informatization management system based on a physician training base, which is provided with an information acquisition module for acquiring identity information and training targets of a plurality of persons to be trained and converting the identity information and the training targets into corresponding training information, and an information processing module for filtering the training information and processing the training information. The system comprises an issuing module for issuing an issuing task and generating a corresponding issuing task, an examination module for issuing the issuing task and collecting a corresponding task completion rate, an analysis plan module for preprocessing the issuing task and the task completion rate and generating a corresponding training plan, and through machine learning, real-time and transparent monitoring of training information is facilitated, and system functions are optimized and perfected. The efficiency and quality of training are improved, and informatization and standardization management of a physician training base is realized.

Description

Technical Field

[0001] The present invention relates to the field of information management, and in particular to an information management system based on a physician training base. Background Art

[0002] The information management system based on the physician training base plays an important role in the standardized training of resident physicians. It not only improves the efficiency and quality of training, but also promotes the cultivation and growth of medical talents. In the future, with the continuous development of technologies such as big data and artificial intelligence, the system will pay more attention to data mining and application to achieve personalized and precise training and management. At the same time, it will also promote cross-regional and cross-institutional resource sharing and collaboration, and provide more comprehensive and high-quality training services for resident physicians.

[0003] Chinese Patent Application Publication Number: CN108960640A The invention proposes a formative evaluation optimization system for the cloud data clinical medicine education and training process, including: a basic data management module, which is used to manage various types of personnel, departments, professional bases and related information such as bases involved in the system, a training physician scheduling management module, which is used to manage the scheduling of trainees in various rotation departments set in the training plan, a physician training work platform module, which is used to record the clinical work, teaching and training tasks of trainees during the rotation process and form electronic process management data, and a formative evaluation module, which is used to systematically apply formative evaluation tools through information technology to evaluate physician training and provide feedback on teaching quality and effectiveness.

[0004] China Patent Application Publication No.: CN113570946A discloses an online training education information-based teaching method and system based on a big data cloud platform, the method includes: optimizing the background for managing the configuration of training plans; and, analyzing and processing the online data of trainees by big data, and screening out a number of data according to the analysis and processing results, searching and obtaining the matching education information as the push data of the platform UI homepage; optimizing the background includes: when receiving the demand data for creating a training plan, obtaining and setting the identification attributes of the training plan, the courses to which the training plan belongs, the scope of use, and configuring the learning attributes of the plan; the scope of use includes regions, units, industries, individuals, industry supervisory units, sites, human resources and social security management departments, and bases. This application has the effect of better adapting to the diversified use needs of Party A.

[0005] However, the above method has the following problems: the management system has low management efficiency and low intelligence. Summary of the invention

[0006] To this end, the present invention provides an information management system based on a physician training base to overcome the problems of low management efficiency and low intelligence of the prior art management system.

[0007] To achieve the above object, the present invention provides an information management system based on a physician training base, comprising:

[0008] An information collection module is used to collect the identity information and training objectives of several personnel to be trained and convert them into corresponding training information;

[0009] An information processing module, which is connected to the information collection module and is used to filter the training information and generate corresponding tasks to be issued;

[0010] An assessment module, which is connected to the information processing module, for issuing the tasks and collecting the corresponding task completion rates;

[0011] An analysis plan module, which is connected to the information processing module and the assessment module respectively, and is used to pre-process the assigned tasks and the task completion rate, and generate a corresponding training plan;

[0012] The preprocessing is to perform data fitting on the task completion rate and the dispatched task to generate a number of preprocessed data with a sampling rate of a standard sampling rate;

[0013] The preprocessing data includes completion rate preprocessing data and task preprocessing data;

[0014] The data fitting is to extract the indicator features of the task completion rate and the assigned tasks according to the training objectives;

[0015] The standard sampling rate is a sampling rate that can be recognized by the analysis plan module.

[0016] Furthermore, the information collection module includes:

[0017] A cloud platform, which is used to store identity information and training objectives corresponding to a number of personnel to be trained;

[0018] A conversion program connected to the cloud platform for converting the identity information and the training target into the training information;

[0019] An output device is connected to the conversion program and is used for outputting the training information.

[0020] Furthermore, the information processing module includes:

[0021] a receiver, configured to receive the training information;

[0022] A filter connected to the receiver for filtering the training information and generating corresponding filtering information;

[0023] A basic processor, which is connected to the filter, is used to perform basic processing on the filter information and generate corresponding dispatch tasks.

[0024] Wherein, the basic processor is provided with a basic processing model;

[0025] The basic processing model is generated by the training information of a number of personnel to be trained.

[0026] Furthermore, the assessment module includes:

[0027] A dispatcher, which is used to dispatch the dispatching task;

[0028] A plurality of terminals connected to the sender for receiving the sent tasks;

[0029] A collector is connected to the plurality of terminals and is used to collect task completion rates of the persons to be assessed corresponding to the plurality of terminals.

[0030] Furthermore, the analysis plan module includes:

[0031] A collector, used to collect the issued tasks and the task completion rate;

[0032] A preprocessor, connected to the collector, for preprocessing the dispatched tasks and the task completion rate, and forming corresponding preprocessing data;

[0033] A learner connected to the preprocessor for learning the preprocessed data and generating a corresponding training plan,

[0034] Wherein, a training learning model is provided in the learner.

[0035] Furthermore, the cloud platform extracts the identity information and training objectives corresponding to the personnel to be trained, the conversion program analyzes and extracts keywords from the identity information and the training objectives, and converts them into corresponding training information, and the outputter outputs the training information.

[0036] Furthermore, the filter filters repeated training information, and the filtered training information enters the basic processing model to generate corresponding dispatching tasks, which are dispatched by the dispatcher to several terminals for assessment, and the collector collects the task completion rate corresponding to each terminal.

[0037] Furthermore, the collector collects the issued tasks and the task completion rate.

[0038] Wherein, a completion rate threshold is set in the collector, and when the task completion rate is higher than the completion rate threshold, the dispatched task corresponding to the task completion rate is output;

[0039] When the task completion rate is lower than the completion rate threshold, the task completion rate and the corresponding dispatched task are transmitted to the preprocessor;

[0040] The completion rate threshold is the expected minimum completion rate of the training objective.

[0041] Furthermore, the preprocessor extracts the task completion rate and the indicator characteristics of the issued task according to the training objective, performs data fitting, generates fitting data with a sampling rate of the standard sampling rate, and performs standardization processing on the obtained fitting data to generate corresponding preprocessed data.

[0042] The indicator characteristics are completion rate and / or assessment subjects;

[0043] The standardization process is to divide the fitting data according to the standard sampling rate.

[0044] Furthermore, the preprocessed data enters the learner to generate a corresponding training plan, the plurality of terminals receive the training plan, and calculate the training success rate.

[0045] When the training success rate is greater than the success rate threshold, the corresponding training plan is output as a key training plan.

[0046] Compared with the prior art, the present invention sets up an information collection module to collect the identity information and training objectives of a number of trainees and convert them into corresponding training information, an information processing module to filter the training information and generate corresponding tasks, an assessment module to issue tasks and collect corresponding task completion rates, and an analysis plan module to pre-process the tasks and task completion rates and generate corresponding training plans. Through machine learning, it is convenient to carry out real-time and transparent monitoring of training information, optimize and improve the system functions, improve the efficiency and quality of training, and realize the informatization and standardized management of the physician training base.

[0047] Furthermore, by setting up a conversion program to convert identity information and training targets into corresponding training information, the accuracy of machine learning is improved and the speed of identifying training information is further improved.

[0048] Furthermore, by setting a filter, repeated training information is filtered out, which reduces the error rate of identifying training information, thereby improving the accuracy of machine learning results.

[0049] Furthermore, by setting up a basic processor and generating the corresponding best-matched dispatching tasks, the system is able to conduct assessments on the personnel to be assessed and facilitate real-time and transparent monitoring of training information.

[0050] Furthermore, by setting the completion rate threshold, the task completion rate can be screened, the monitoring efficiency of the training process is improved, and the quality of the training process is optimized.

[0051] Furthermore, by preprocessing the task completion rate and the assigned tasks, the accuracy of data processing in the training learning model is improved, and the information-based and standardized management of the physician training base is realized. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 This is a schematic diagram of the structure of the information management system based on the physician training base of the present invention;

[0053] Figure 2 This is a structural diagram of the information acquisition module of the present invention;

[0054] Figure 3 This is a schematic diagram of the information processing module structure of the present invention;

[0055] Figure 4 This is a schematic diagram of the structure of the assessment module of the present invention;

[0056] Figure 5 It is a schematic diagram of the structure of the analysis plan module of the present invention. DETAILED DESCRIPTION

[0057] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0058] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0059] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is merely for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0060] In addition, it should be noted that in the description of the present invention, 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 those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0061] See also Figure 1 As shown, it is a schematic diagram of the structure of the information management system based on the physician training base of the present invention, including:

[0062] An information collection module is used to collect the identity information and training objectives of several personnel to be trained and convert them into corresponding training information;

[0063] The information processing module is connected to the information collection module to filter the training information and generate corresponding tasks;

[0064] The assessment module is connected to the information processing module to issue tasks and collect the corresponding task completion rate;

[0065] The analysis and planning module is connected to the information processing module and the assessment module respectively, and is used to pre-process the assigned tasks and task completion rates, and generate corresponding training plans;

[0066] Among them, the preprocessing is to perform data fitting on the task completion rate and the dispatched tasks, and generate a number of preprocessed data with a standard sampling rate;

[0067] The preprocessing data includes completion rate preprocessing data and task preprocessing data;

[0068] Data fitting is to extract the indicator characteristics of task completion rate and task distribution according to the training objectives;

[0069] The standard sampling rate is the sampling rate that the analysis plan module can recognize.

[0070] In practice, the sampling rate is generally set between 150 and 170 samples per minute;

[0071] Preferably, setting the standard sampling rate to 160 samples / minute has a better learning effect on the preprocessed data, and for the system described in this application, the corresponding generation effect is optimal.

[0072] By setting up an information collection module to collect the identity information and training objectives of several trainees and convert them into corresponding training information, an information processing module to filter the training information and generate corresponding tasks, an assessment module to issue tasks and collect the corresponding task completion rate, and an analysis plan module to pre-process the tasks and task completion rates and generate corresponding training plans. Through machine learning, it is convenient to carry out real-time and transparent monitoring of training information, optimize and improve the system functions, improve the efficiency and quality of training, and realize the informationization and standardized management of the physician training base.

[0073] See also Figure 2 As shown, it is a schematic diagram of the structure of the information acquisition module of the present invention, including:

[0074] A cloud platform, which is used to store identity information and training objectives corresponding to a number of personnel to be trained;

[0075] A conversion program, which is connected to the cloud platform and is used to convert the identity information and the training target into training information;

[0076] The output device is connected to the conversion program and is used for outputting the training information.

[0077] By setting up a conversion program to convert identity information and training targets into corresponding training information, the accuracy of machine learning is improved and the speed of identifying training information is further improved.

[0078] See also Figure 3 As shown, it is a schematic diagram of the information processing module structure of the present invention, including:

[0079] a receiver for receiving training information;

[0080] A filter, connected to the receiver, for filtering the training information and generating corresponding filtering information;

[0081] The basic processor is connected to the filter to perform basic processing on the filtered information and generate corresponding dispatch tasks.

[0082] Among them, a basic processing model is provided in the basic processor;

[0083] The basic processing model is generated by the training information of several personnel to be trained.

[0084] By setting filters, repeated training information is filtered out, which reduces the error rate of identifying training information and improves the accuracy of machine learning results.

[0085] By setting up the basic processor and generating the corresponding best-matching dispatching tasks, the system can more conveniently assess the personnel to be assessed and facilitate real-time and transparent monitoring of training information.

[0086] See also Figure 4 As shown, it is a schematic diagram of the structure of the assessment module of the present invention, including:

[0087] The dispatcher is used to dispatch the tasks;

[0088] Several terminals, which are connected to the sender and are used to receive the sent tasks;

[0089] The collector is connected to a plurality of terminals and is used to collect the task completion rates of the persons to be assessed corresponding to the plurality of terminals.

[0090] See also Figure 5 As shown, it is a schematic diagram of the structure of the analysis plan module of the present invention, including:

[0091] Collector, used to collect the issued tasks and task completion rate;

[0092] A preprocessor, which is connected to the collector, is used to preprocess the dispatched tasks and task completion rates and form corresponding preprocessed data;

[0093] The learner is connected to the preprocessor to learn the preprocessed data and generate a corresponding training plan.

[0094] Among them, a training learning model is provided in the learner.

[0095] Specifically, the cloud platform extracts the identity information and training objectives corresponding to the trainees, the conversion program analyzes and extracts keywords from the identity information and training objectives, converts them into corresponding training information, and the outputter outputs the training information.

[0096] Embodiment 1:

[0097] The cloud platform extracts the identity information corresponding to the trainee A as "Wang XX, female, 25 years old", and the training goal is "biomedicine, 95 points". After the identity information and training goal are converted through a program, the output training information is "Wang XX, biomedicine, 95 points".

[0098] Specifically, the filter filters out duplicate training information, and the filtered training information enters the basic processing model to generate corresponding dispatching tasks. The dispatching tasks are dispatched by the dispatcher to several terminals for assessment, and the collector collects the task completion rate corresponding to each terminal.

[0099] Embodiment 2:

[0100] If the training information of A is: "Wang XX, biomedicine, 95 points", the training information of B is: "Liu X, clinical medicine, 80 points", and the training information of C is: "Wang XX, biomedicine, 95 points", then after filtering, the output training information is: "Wang XX, biomedicine, 95 points", "Liu X, clinical medicine, 80 points".

[0101] Embodiment 3:

[0102] If task A is sent by the sender to 100 terminals, and the collector detects that 85 terminals have completed task A, then the task completion rate of task A is 85%.

[0103] Specifically, the collector collects and sends tasks and task completion rates.

[0104] Among them, the collector is set with a completion rate threshold. When the task completion rate is higher than the completion rate threshold, the dispatched tasks corresponding to the task completion rate are output;

[0105] When the task completion rate is lower than the completion rate threshold, the task completion rate and the corresponding dispatched tasks are passed to the preprocessor;

[0106] The completion rate threshold is the minimum expected completion rate of the training objective.

[0107] Embodiment 4:

[0108] Assume that the completion rate threshold is 80%, and the task completion rate of task A is 85%, which is higher than the completion rate threshold, so task A will be output.

[0109] Embodiment 5:

[0110] Suppose the completion rate threshold is 80%, Task B is: "Clinical Medicine, 95 points, Examination time 60 minutes", and the task completion rate of Task B is 75%, which is lower than the completion rate threshold. Then Task B: "Clinical Medicine, 95 points, Examination time 60 minutes" and Task completion rate: 75% will be output.

[0111] By setting the completion rate threshold, the task completion rate can be screened, the monitoring efficiency of the training process can be improved, and the quality of the training process can be optimized.

[0112] Specifically, the preprocessor extracts the task completion rate and the indicator characteristics of the issued task according to the training objectives, performs data fitting, generates fitting data with a sampling rate of the standard sampling rate, and standardizes the obtained fitting data to generate corresponding preprocessed data.

[0113] Among them, the indicator characteristics are completion rate and / or assessment subjects;

[0114] The normalization process is to divide the fitting data into sections according to the standard sampling rate.

[0115] By preprocessing the task completion rate and issuing tasks, the accuracy of data processing of the training learning model is improved, and the information-based and standardized management of the physician training base is realized.

[0116] Specifically, the preprocessed data enters the learner, generates a corresponding training plan, and several terminals receive the training plan and count the training success rate.

[0117] When the training success rate is greater than the success rate threshold, the corresponding training plan is output as a key training plan.

[0118] Embodiment 6:

[0119] If the success rate threshold is 85%, 100 terminals receive the D training plan, and 90 terminals finally complete the D training plan, then the training success rate is 90%, which is greater than the success rate threshold, and the D training plan is output as the key training plan.

[0120] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0121] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. The information management system based on the physician training base is characterized by: include: An information collection module is used to collect the identity information and training objectives of several personnel to be trained and convert them into corresponding training information; An information processing module, which is connected to the information collection module and is used to filter the training information and generate corresponding tasks to be issued; An assessment module, which is connected to the information processing module, for issuing the tasks and collecting the corresponding task completion rates; An analysis plan module, which is connected to the information processing module and the assessment module respectively, and is used to pre-process the assigned tasks and the task completion rate, and generate a corresponding training plan; The preprocessing is to perform data fitting on the task completion rate and the dispatched task to generate a number of preprocessed data with a sampling rate of a standard sampling rate; The preprocessing data includes completion rate preprocessing data and task preprocessing data; The data fitting is to extract the indicator features of the task completion rate and the assigned tasks according to the training objectives; The standard sampling rate is a sampling rate that can be recognized by the analysis plan module.

2. The information management system based on the physician training base according to claim 1 is characterized in that: The information collection module comprises: A cloud platform, which is used to store identity information and training objectives corresponding to a number of personnel to be trained; A conversion program connected to the cloud platform for converting the identity information and the training target into the training information; An output device is connected to the conversion program and is used for outputting the training information.

3. The information management system based on the physician training base according to claim 2 is characterized in that: The information processing module comprises: a receiver, configured to receive the training information; A filter connected to the receiver for filtering the training information and generating corresponding filtering information; A basic processor, which is connected to the filter, is used to perform basic processing on the filter information and generate corresponding dispatch tasks. Wherein, the basic processor is provided with a basic processing model; The basic processing model is generated by the training information of a number of personnel to be trained.

4. The information management system based on the physician training base according to claim 3 is characterized in that: The assessment module includes: A dispatcher, which is used to dispatch the dispatching task; A plurality of terminals connected to the sender for receiving the sent tasks; A collector is connected to the plurality of terminals and is used to collect task completion rates of the persons to be assessed corresponding to the plurality of terminals.

5. The information management system based on the physician training base according to claim 4 is characterized in that: The analysis plan module includes: A collector, used to collect the issued tasks and the task completion rate; A preprocessor, connected to the collector, for preprocessing the dispatched tasks and the task completion rate, and forming corresponding preprocessing data; A learner connected to the preprocessor for learning the preprocessed data and generating a corresponding training plan, Wherein, a training learning model is provided in the learner.

6. The information management system based on the physician training base according to claim 5 is characterized in that: The cloud platform extracts the identity information and training objectives corresponding to the personnel to be trained, the conversion program analyzes and extracts keywords from the identity information and the training objectives, and converts them into corresponding training information, and the outputter outputs the training information.

7. The information management system based on the physician training base according to claim 6 is characterized in that: The filter filters repeated training information, and the filtered training information enters the basic processing model to generate corresponding dispatching tasks. The dispatching tasks are dispatched by the dispatcher to several terminals for assessment, and the collector collects the task completion rate corresponding to each terminal.

8. The information management system based on the physician training base according to claim 7, characterized in that: The collector collects the issued tasks and the task completion rate, Wherein, a completion rate threshold is set in the collector, and when the task completion rate is higher than the completion rate threshold, the dispatched task corresponding to the task completion rate is output; When the task completion rate is lower than the completion rate threshold, the task completion rate and the corresponding dispatched task are transmitted to the preprocessor; The completion rate threshold is the expected minimum completion rate of the training objective.

9. The information management system based on the physician training base according to claim 8, characterized in that: The preprocessor extracts the task completion rate and the indicator characteristics of the issued task according to the training goal, performs data fitting, generates fitting data with a sampling rate of a standard sampling rate, performs standardization processing on the obtained fitting data, and generates corresponding preprocessing data. The indicator characteristics are completion rate and / or assessment subjects; The standardization process is to divide the fitting data according to the standard sampling rate.

10. The information management system based on the physician training base according to claim 9, characterized in that: The pre-processed data enters the learner to generate a corresponding training plan, the terminals receive the training plan, and the training success rate is counted. When the training success rate is greater than the success rate threshold, the corresponding training plan is output as a key training plan.

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