Hospital clinical specialist ability evaluation information system

Abstract

The invention discloses a hospital clinical specialist ability evaluation information system, and belongs to the technical field of medical information management. A data storage module; a data preprocessing module; an evaluation index system module; a data analysis module; an evaluation result generation module; a user management module; a system setting module; through automatic data acquisition, a scientific evaluation index system, deep data analysis and visual result display, many problems existing in a traditional clinical specialist ability evaluation mode are effectively solved, and accurate, objective and timely evaluation information and decision support can be provided for hospital clinical specialist construction; the overall medical quality and management level of hospitals can be improved, and wide application prospects and remarkable social benefits are achieved.

Description

Technical Field

[0001] The present invention belongs to the technical field of medical information management, and in particular relates to a hospital clinical specialty capability evaluation information system. Background Art

[0002] Scientific, comprehensive and objective evaluation of the hospital's clinical specialty capabilities has become a key link in improving medical quality and management level.

[0003] Traditional clinical specialty capacity evaluation often relies on manual data collection, form filling, expert subjective judgment and other methods. This evaluation method has many problems, such as untimely and inaccurate data collection, cumbersome and inefficient evaluation process, and lack of objectivity and dynamism in evaluation results. Summary of the invention

[0004] The purpose of the present invention is to propose a hospital clinical specialty capability evaluation information system in order to solve the above-mentioned problems.

[0005] In order to achieve the above-mentioned purpose, the present invention adopts the following technical scheme: a hospital clinical specialty ability evaluation information system, which comprises:

[0006] The data collection module is used to connect with various information systems within the hospital and collect data related to clinical specialty capabilities. It also provides a manual data entry interface. The collected data is stored in the data storage module after verification;

[0007] A data storage module, which uses a relational database to store the data collected by the data collection module and performs data backup and recovery operations;

[0008] A data preprocessing module, which cleans, classifies and encodes the data in the data storage module;

[0009] Evaluation index system module, which establishes a system including multi-dimensional evaluation indexes and sets calculation methods, data sources and weight coefficients for each index;

[0010] The data analysis module extracts data from the data storage module for statistical analysis and data mining based on the evaluation index system;

[0011] The evaluation result generation module generates the comprehensive evaluation results of clinical specialty capabilities based on the results of the data analysis module and displays them in the form of charts and reports;

[0012] User management module, which manages system users by category and assigns permissions, and users log in to the system through identity authentication;

[0013] The system settings module is used to set basic system parameters and manage system logs.

[0014] As a further description of the above technical solution:

[0015] The data collected by the data collection module include basic patient information, diagnosis information, treatment process information, examination and test results, operation information, hospitalization time, and medical expenses.

[0016] As a further description of the above technical solution:

[0017] The evaluation indicators of the evaluation indicator system module include medical quality indicators, medical efficiency indicators, medical technology indicators, subject influence indicators, and patient satisfaction indicators.

[0018] As a further description of the above technical solution:

[0019] The statistical analysis methods adopted by the data analysis module include mean, median, standard deviation, and percentage, and the data mining techniques include cluster analysis, association rule mining, and decision tree analysis.

[0020] As a further description of the above technical solution:

[0021] The evaluation result report generated by the evaluation result generation module includes basic information of the specialty, detailed data of various evaluation indicators, comprehensive evaluation scores, evaluation levels, analysis of strengths and weaknesses, and improvement suggestions.

[0022] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0023] In the present invention, through automated data collection, scientific evaluation index system, in-depth data analysis and intuitive result display, many problems existing in traditional clinical specialty capacity evaluation methods are effectively solved, and accurate, objective and timely evaluation information and decision-making support can be provided for the construction of clinical specialties in hospitals, which is helpful to improve the overall medical quality and management level of hospitals, and has broad application prospects and significant social benefits. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 This is a block diagram of a hospital clinical specialty capability evaluation information system. DETAILED DESCRIPTION

[0025] In order to make the purpose, technical solution and advantages of the embodiment of the present invention clearer, the technical solution in the embodiment of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiment of the present invention. Obviously, the described embodiment is a part of the embodiment of the present invention, rather than all the embodiments. The components of the embodiment of the present invention described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiment of the present invention provided in the drawings is not intended to limit the scope of the claimed invention, but only represents the selected embodiment of the present invention. 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. It should be noted that similar numbers and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in the subsequent drawings. In the description of the embodiments of the present invention, it should be noted that the terms "upper", "inside", etc. indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings, or the orientation or positional relationship in which the invented product is usually placed when in use, which is 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 a limitation of the present invention. In the description of the present invention, it should also be noted that, unless otherwise clearly specified and limited, the terms "set", "install", "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 directly connected, or indirectly connected through an intermediate medium, or it can be the internal connection of two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0026] See also Figure 1 The present invention provides a technical solution: a hospital clinical specialty capability evaluation information system, comprising:

[0027] The data collection module is used to connect with various information systems within the hospital and collect data related to clinical specialty capabilities. It also provides a manual data entry interface. The collected data is stored in the data storage module after verification;

[0028] A data storage module, which uses a relational database to store the data collected by the data collection module and performs data backup and recovery operations;

[0029] A data preprocessing module, which cleans, classifies and encodes the data in the data storage module;

[0030] Evaluation index system module, which establishes a system including multi-dimensional evaluation indexes and sets calculation methods, data sources and weight coefficients for each index;

[0031] The data analysis module extracts data from the data storage module for statistical analysis and data mining based on the evaluation index system;

[0032] The evaluation result generation module generates the comprehensive evaluation results of clinical specialty capabilities based on the results of the data analysis module and displays them in the form of charts and reports;

[0033] User management module, which manages system users by category and assigns permissions, and users log in to the system through identity authentication;

[0034] System settings module, used to set basic system parameters and manage system logs;

[0035] The data collected by the data collection module includes basic patient information, diagnosis information, treatment process information, examination and test results, operation information, hospitalization time, and medical expenses;

[0036] The evaluation indicators of the evaluation indicator system module include medical quality indicators, medical efficiency indicators, medical technology indicators, subject influence indicators, and patient satisfaction indicators;

[0037] The statistical analysis methods used by the data analysis module include mean, median, standard deviation, and percentage, and the data mining techniques include cluster analysis, association rule mining, and decision tree analysis;

[0038] The evaluation result report generated by the evaluation result generation module includes basic information of the specialty, detailed data of various evaluation indicators, comprehensive evaluation scores, evaluation levels, analysis of strengths and weaknesses, and improvement suggestions.

[0039] Example:

[0040] System initialization: After the system is deployed, the system administrator first performs system initialization settings, including creating system user accounts and assigning role permissions, configuring data collection interface parameters, setting the evaluation index system and its weight coefficients, and setting basic system parameters (such as data backup path, collection frequency, etc.);

[0041] Data collection: The data collection module automatically collects clinical specialty competence evaluation data from various hospital information systems according to the set collection frequency, and performs preliminary verification and storage on the collected data. During the data collection process, if data anomalies or collection failures are found, the system automatically records the error information and notifies the data entry operator to manually check and process. The data entry operator can enter the supplemented or corrected data into the system through the manual entry interface;

[0042] Data preprocessing: The data preprocessing module regularly cleans, classifies and encodes the collected data, and stores the processed data in the data storage module for subsequent analysis;

[0043] Data analysis and evaluation: The data analysis module extracts data from the data storage module for analysis and calculation based on the evaluation index system to obtain the statistical results of various evaluation indicators and data mining analysis results. The evaluation result generation module generates comprehensive evaluation results of clinical specialty capabilities based on these results and the evaluation criteria, and presents them in the form of charts and reports;

[0044] Results display and feedback: Hospital management and specialist heads can log in to the system to view evaluation results and analysis reports. The system provides a variety of query and filtering functions to facilitate users to view evaluation information according to different dimensions (such as specialty name, evaluation time, evaluation indicators, etc.). Specialist heads can formulate development plans and quality improvement measures for their specialties based on the strengths and weaknesses analysis and improvement suggestions in the evaluation results, and feedback relevant information to the system administrator to further optimize and improve the system data and evaluation indicator system;

[0045] System maintenance and management: System administrators regularly maintain and manage the system, including checking system operating status, viewing system logs, performing data backup and recovery operations, adjusting system parameters and evaluation index systems according to hospital needs and industry standards, etc., to ensure stable operation and continuous optimization of the system.

[0046] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A hospital clinical specialty capability evaluation information system, characterized by: include: The data collection module is used to connect with various information systems within the hospital and collect data related to clinical specialty capabilities. It also provides a manual data entry interface. The collected data is stored in the data storage module after verification; A data storage module, which uses a relational database to store the data collected by the data collection module and performs data backup and recovery operations; A data preprocessing module, which cleans, classifies and encodes the data in the data storage module; Evaluation index system module, which establishes a system including multi-dimensional evaluation indexes and sets calculation methods, data sources and weight coefficients for each index; The data analysis module extracts data from the data storage module for statistical analysis and data mining based on the evaluation index system; The evaluation result generation module generates the comprehensive evaluation results of clinical specialty capabilities based on the results of the data analysis module and displays them in the form of charts and reports; User management module, which manages system users by category and assigns permissions, and users log in to the system through identity authentication; The system settings module is used to set basic system parameters and manage system logs.

2. A hospital clinical specialty capability evaluation information system according to claim 1, characterized in that: The data collected by the data collection module include basic patient information, diagnosis information, treatment process information, examination and test results, operation information, hospitalization time, and medical expenses.

3. A hospital clinical specialty capability evaluation information system according to claim 1, characterized in that: The evaluation indicators of the evaluation indicator system module include medical quality indicators, medical efficiency indicators, medical technology indicators, subject influence indicators, and patient satisfaction indicators.

4. A hospital clinical specialty capability evaluation information system according to claim 1, characterized in that: The statistical analysis methods adopted by the data analysis module include mean, median, standard deviation, and percentage, and the data mining techniques include cluster analysis, association rule mining, and decision tree analysis.

5. A hospital clinical specialty capability evaluation information system according to claim 1, characterized in that: The evaluation result report generated by the evaluation result generation module includes basic information of the specialty, detailed data of various evaluation indicators, comprehensive evaluation scores, evaluation levels, analysis of strengths and weaknesses, and improvement suggestions.

Images