Hospital internal control management system based on intelligent integrated management platform

Abstract

The invention relates to the technical field of hospital internal control management, in particular to a hospital internal control management system based on an intelligent integrated management platform. The method comprises the following steps: uniformly acquiring management requirements of each layer through an internal control configuration module; converting the requirements into standardized and executable monitoring rules by utilizing an internal control rule engine; acquiring business data in real time through a data acquisition module; the compliance check module carries out intelligent analysis; and finally, the risk is found and processed in time through the early warning processing module, so that the intelligent level and the risk prevention and control capability of internal control management are greatly improved.

Description

Technical Field

[0001] The present application relates to the technical field of hospital internal control management, and in particular to a hospital internal control management system based on an intelligent integrated management platform. Background Art

[0002] As the reform of the medical and health system is further advanced, hospitals are facing increasing challenges in operation management, resource allocation, and risk prevention and control. In order to standardize hospital economic activities, strengthen internal control construction, and improve hospital management level, there are currently a series of normative documents on internal control management.

[0003] Existing hospitals generally adopt a decentralized management approach to business systems to carry out internal control management. Internal control requirements are achieved by setting up control rules and approval processes in business systems such as budget management and revenue and expenditure management. Although this approach can meet basic internal control needs to a certain extent, it lacks a unified management platform and is unable to detect and deal with potential risks in a timely manner.

[0004] This situation needs further improvement. Summary of the invention

[0005] In order to solve the problem that the existing hospital internal control management lacks a unified management platform and cannot timely discover and deal with potential risks, this application provides a hospital internal control management system based on an intelligent integrated management platform, which adopts the following technical solutions: In a first aspect, the present application provides a hospital internal control management system based on an intelligent integrated management platform, comprising: The internal control configuration module is used to obtain the hospital's internal control management requirements, including management requirements at the unit level and management requirements at the business level, and obtain the basic data for internal control management; An internal control rule engine is used to convert internal control requirements into executable monitoring rules based on the internal control management basic data, and connect to the corresponding business system to obtain internal control rule data; A data collection module is used to establish a business system interface based on the internal control rule data, collect the operation data of each business system in real time, and obtain business execution data; A compliance checking module, used to compare and analyze the internal control rule data and the business execution data to obtain compliance checking results; The early warning and disposal module is used to generate early warning signals and provide disposal suggestions based on the compliance inspection results.

[0006] By adopting the above technical solutions, in order to standardize the internal control management of public hospitals and improve the level of risk prevention and control, hospitals need to conduct comprehensive monitoring of multiple business areas including budget management, revenue and expenditure management, procurement management, etc.; this application first obtains the management requirements at all levels through the internal control configuration module; then uses the internal control rule engine to convert these requirements into standardized and executable monitoring rules; then collects business data in real time through the data collection module; then the compliance check module performs intelligent analysis; finally, the early warning and disposal module is used to timely discover and deal with risks, which greatly improves the intelligence level of internal control management and risk prevention and control capabilities.

[0007] Optionally, the internal control rule engine includes: A rule configuration unit is used to establish a rule model according to the internal control management basic data to obtain an initial rule model; A rule verification unit, used to verify the validity based on the initial rule model to obtain a verified rule model; The rule execution unit is used to generate executable monitoring rules according to the verified rule model and deploy them to the business system.

[0008] By adopting the above technical solution, the present application first converts the internal control management requirements into a standardized rule model through the rule configuration unit, and then the rule verification unit performs logic verification and scenario testing on the rule model to ensure the accuracy and enforceability of the rules; finally, the verified rule model is converted into specific program code through the rule execution unit and deployed to the corresponding business system, thereby improving the maintainability and adaptability of the internal control rules.

[0009] Optionally, the data acquisition module includes: An interface configuration unit, used to determine the required business data items according to the internal control rule data and obtain a data collection plan; A data processing unit, used to obtain data from the business system based on the data collection scheme and perform standardized processing to obtain standardized data; The data storage unit is used to establish a classified storage structure according to the normalized data to achieve persistent data management.

[0010] By adopting the above-mentioned technical solution, the present application firstly uses the interface configuration unit to intelligently identify the necessary data items according to the requirements of the internal control rules, and automatically generates data collection plans for different business systems; then the data processing unit performs data extraction and conversion, and uniformly converts data from different sources into a standard format; finally, a multi-dimensional storage structure is established through the data storage unit to achieve efficient management and rapid retrieval of data.

[0011] Optionally, the compliance checking module includes: A rule matching unit, used to match the business execution data with the internal control rule data to obtain a data set to be checked; A compliance analysis unit, used to perform compliance analysis based on the data set to be checked to obtain a violation risk assessment result; The problem identification unit is used to determine non-compliant items based on the violation risk assessment results and obtain a list of violation issues.

[0012] By adopting the above technical solution, this application first realizes the intelligent association between business data and internal control rules through the rule matching unit, and quickly locates the data that needs to be checked; then the compliance analysis unit conducts in-depth mining and risk assessment on the matched data; finally, the problem identification unit classifies and organizes the evaluation results to form a structured list of violations; it realizes the transformation from passive discovery to active warning, and significantly improves the intelligence level of hospital internal control management.

[0013] Optionally, the compliance analysis unit includes: The matching degree calculation subunit is used to compare the business data in the data set to be checked with the internal control rules item by item, calculate the compliance matching degree of each indicator, and obtain compliance measurement data; A risk assessment subunit is used to perform a comprehensive score based on the compliance measurement data in combination with the importance and impact scope of the business field to obtain risk level assessment data; A trend analysis subunit, for identifying the risk evolution trend and obtaining risk trend data according to the temporal changes of the risk level assessment data; A correlation analysis subunit, used to analyze the risk correlation between different business areas based on the risk level assessment data and risk trend data to obtain a risk correlation map; Among them, the violation risk assessment results include compliance measurement data, risk level assessment data, risk trend data and risk correlation map.

[0014] By adopting the above technical solution, due to the complexity, dynamism and correlation of hospital internal control risks, the traditional single-dimensional and static risk assessment method can no longer meet the management needs of modern hospitals. This application first conducts a quantitative assessment of business data through a matching calculation subunit; then the risk assessment subunit performs a comprehensive score based on the importance of the business; then the trend analysis subunit is used to capture the evolution of risks; finally, a risk correlation network is constructed through the correlation analysis subunit to form a complete risk map; and dynamic early warning of risks is achieved.

[0015] Optionally, the early warning handling module includes: An early warning generation unit is used to calculate the early warning level and scope according to the list of violation issues and obtain early warning information; An impact assessment unit, configured to analyze business relevance based on the warning information to obtain an impact assessment report; A disposal suggestion unit is used to generate corrective measures and requirements based on the impact assessment report.

[0016] By adopting the above-mentioned technical scheme, in order to deal with the violations found in the hospital's internal control management in a timely and effective manner, this application first classifies the violations through the early warning generation unit to determine the priority and coverage of the early warning; then the impact assessment unit conducts an in-depth analysis of the associated impacts of the problem and evaluates the possible chain reactions; finally, through the disposal suggestion unit, based on the characteristics of the problem and the degree of impact, targeted rectification measures are formulated to improve the efficiency and effectiveness of the hospital's internal control management.

[0017] Optionally, an evaluation and analysis module is also included, and the evaluation and analysis module includes: The internal control evaluation unit is used to obtain internal control execution evaluation data based on compliance inspection results and early warning disposal situations; An analysis and reporting unit, configured to generate an internal control evaluation report based on the internal control execution evaluation data; The improvement suggestion unit is used to make optimization suggestions based on the internal control evaluation report.

[0018] By adopting the above technical solution, this application first conducts a quantitative assessment of the results of compliance inspections and early warning disposal through the internal control evaluation unit; then the analysis and reporting unit analyzes the causes of the problems and management shortcomings; finally, through the improvement suggestion unit, based on the evaluation results and analysis findings, a targeted optimization plan is proposed.

[0019] Optionally, a rectification tracking module is further included, and the rectification tracking module includes: The rectification task unit is used to generate rectification tasks based on early warning information and disposal suggestions, and obtain rectification implementation plans; An execution monitoring unit, used to track the rectification progress based on the rectification implementation plan and obtain rectification execution data; The effect evaluation unit is used to evaluate the rectification effect according to the rectification execution data to obtain a rectification evaluation result.

[0020] By adopting the above technical solution, this application first converts the early warning information and disposal suggestions into a specific and executable rectification task list through the rectification task unit; then the execution monitoring unit establishes a real-time monitoring system to dynamically track the rectification progress and implementation status; finally, through the effect evaluation unit, quantitative indicators are used to evaluate the rectification results, timely discover and solve problems in the rectification process, and improve the standardization and effectiveness of the hospital's internal control rectification work.

[0021] Optionally, the internal control rule engine further includes: The rule base management unit is used to update and maintain the rule base according to the internal control management requirements and obtain the latest rule version; A rule deployment unit, used to update the monitoring rules in the business system based on the latest rule version to obtain a rule deployment result; A monitoring adjustment unit is used to dynamically update monitoring parameters according to the rule deployment result.

[0022] By adopting the above technical solution, this application first establishes a unified rule maintenance platform through the rule base management unit to ensure the timeliness and consistency of rule updates; then the rule deployment unit automatically pushes the latest rules to each business system; finally, through the monitoring adjustment unit, the monitoring parameters are automatically optimized according to the changes in the rules to ensure the effectiveness of monitoring, thereby realizing the continuous improvement of the hospital's internal control management.

[0023] In summary, the present application includes at least one of the following beneficial technical effects: 1. This application first obtains management requirements at all levels through the internal control configuration module; then uses the internal control rule engine to convert these requirements into standardized and executable monitoring rules; then uses the data collection module to collect business data in real time; then uses the compliance inspection module to perform intelligent analysis; finally, uses the early warning and disposal module to timely discover and handle risks, greatly improving the intelligence level of internal control management and risk prevention and control capabilities; 2. This application firstly realizes the intelligent association between business data and internal control rules through the rule matching unit, and quickly locates the data that needs to be checked; then the compliance analysis unit conducts in-depth mining and risk assessment on the matched data; finally, the problem identification unit classifies and organizes the assessment results to form a structured list of violations; it realizes the transformation from passive discovery to active warning, and significantly improves the intelligent level of hospital internal control management; 3. Due to the complexity, dynamism and correlation of hospital internal control risks, the traditional single-dimensional, static risk assessment method can no longer meet the management needs of modern hospitals. This application first uses the matching calculation sub-unit to quantitatively evaluate the business data; then the risk assessment sub-unit performs a comprehensive score based on the importance of the business; then the trend analysis sub-unit is used to capture the evolution of risks; finally, the association analysis sub-unit constructs a risk association network to form a complete risk map, thus achieving dynamic early warning of risks. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 It is a structural diagram of a hospital internal control management system based on an intelligent integrated management platform according to an embodiment of the present application; Figure 2 This is a schematic diagram of the structure of the internal control rule engine in the embodiment of the present application. Figure 1 ; Figure 3It is a structural diagram of the data acquisition module of the embodiment of the present application; Figure 4 It is a schematic diagram of the structure of the compliance checking module of the embodiment of the present application; Figure 5 It is a structural diagram of the early warning and disposal module of the embodiment of the present application; Figure 6 It is a structural diagram of the evaluation and analysis module of the embodiment of the present application; Figure 7 It is a structural diagram of the rectification tracking module of the embodiment of the present application; Figure 8 This is a schematic diagram of the structure of the internal control rule engine in the embodiment of the present application. Figure 2 . DETAILED DESCRIPTION

[0025] The terms used in the following embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to be used as limitations to the present application. As used in the specification and appended claims of the present application, the singular expressions "one", "a kind of", "said", "above", "the" and "this" are intended to also include plural expressions, unless there is a clear indication to the contrary in the context. It should also be understood that the term "and / or" used in the present application refers to any or all possible combinations comprising one or more listed items.

[0026] In the following, the terms "first" and "second" are used for descriptive purposes only and are not to be understood as suggesting or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features, and in the description of the embodiments of the present application, unless otherwise specified, "plurality" means two or more.

[0027] The embodiments of the present application are further described in detail below in conjunction with the drawings in the specification.

[0028] In the first aspect, the present application provides a hospital internal control management system based on an intelligent integrated management platform, characterized in that, with reference to Figure 1 ,include: The internal control configuration module is used to obtain the hospital's internal control management requirements, including management requirements at the unit level and management requirements at the business level, and obtain basic internal control management data.

[0029] Among them, the internal control configuration module is mainly configured for the management requirements at the unit level and business level stipulated in the "Regulations on Internal Control Management of Public Hospitals". At the unit level, the focus is on collecting management requirements in terms of internal control organization construction, mechanism construction, system construction, team construction, and process construction; at the business level, the focus is on collecting management requirements in key business areas such as budget management, revenue and expenditure management, government procurement management, and asset management. For example, in terms of budget management, it is necessary to configure specific management requirements such as the rationality of budget preparation, the standardization of budget execution, and the timeliness of final accounts preparation.

[0030] Specifically, the internal control configuration module adopts a classified and graded configuration method to establish a unified internal control requirement configuration template. At the unit level, the responsibilities, powers and management requirements of management departments at all levels are clarified through the organizational structure tree structure; at the business level, the management requirements are refined according to the hierarchical relationship of "business field-key links-control points". For example, in the field of budget management, the system configuration includes specific control points such as "whether the budget preparation is in line with the unit's strategic goals" and "whether there is over-budget expenditure", and the corresponding judgment criteria are clarified.

[0031] The internal control rule engine is used to convert internal control requirements into executable monitoring rules based on the internal control management basic data, and connect to the corresponding business system to obtain internal control rule data.

[0032] Among them, the internal control rule engine is responsible for converting internal control management requirements into specific rules that can be executed in the business system. In view of the characteristics of different business fields, the system has preset a variety of rule templates, such as budget control rules, approval process rules, compliance monitoring rules, etc. Through the rule converter, the control points in the management requirements are automatically converted into standard rule statements. For example, the requirement of "a single purchase amount exceeding 500,000 yuan must be approved by the Dean's Office" is converted into an approval process control rule in the procurement system.

[0033] Specifically, the internal control rule engine deploys the generated rules to relevant business systems through standardized interfaces. The system first performs adaptability tests on the rules to ensure that the rules can be correctly executed in the target system; then pushes the rules to the control module of the business system through the rule deployment interface; and finally verifies the rules to ensure that the rules are effective. This method achieves seamless integration of internal control requirements and business systems, ensuring the effective implementation of management requirements.

[0034] The data collection module is used to establish a business system interface based on internal control rule data, collect the operation data of each business system in real time, and obtain business execution data.

[0035] Among them, the data collection module collects the operating data of each business system in real time based on the deployed internal control rules. The system focuses on collecting key business data such as budget execution, revenue and expenditure, procurement records, asset changes, contract performance, etc. For example, in budget management, the budget execution data of each department is collected in real time, including budget quota, actual expenditure, execution progress and other information; in procurement management, the whole process data such as procurement application, approval process, contract signing, payment records, etc. are collected.

[0036] Specifically, the data collection module adopts a unified data interface standard to ensure the timeliness and accuracy of data in each business system. The system uses ETL tools to clean and convert the collected data, unify the data format and measurement standards; through the data quality control mechanism, verify the integrity and consistency of the data; finally, store the processed data in a unified data warehouse to provide data support for subsequent compliance checks.

[0037] The compliance check module is used to compare and analyze internal control rule data and business execution data to obtain compliance check results.

[0038] Among them, the compliance check module monitors the compliance of key business areas by comparing internal control rules with business execution data in real time. Taking budget management as an example, the system automatically monitors the progress of budget execution, and immediately marks it as a violation when it finds no budget expenditure or over-budget expenditure. In terms of government procurement management, the system conducts real-time inspections on each link of the procurement process, including whether the selection of procurement methods is compliant, whether the approval process is complete, and whether the supplier qualifications meet the requirements. For construction project management, the system focuses on monitoring the compliance of key nodes such as project establishment, bidding, construction, and acceptance to ensure that the entire project process meets internal control requirements.

[0039] Specifically, the compliance inspection module adopts a multi-dimensional inspection mechanism, including real-time inspection, regular inspection and special inspection. Real-time inspection mainly targets mandatory control requirements in the business handling process, such as budget control, approval authority, etc. Regular inspection targets the accumulation of business data, such as budget execution progress, asset utilization efficiency, etc. Special inspection targets specific business areas or key periods, such as annual final accounts, major projects, etc. The system automatically generates an inspection report, which records in detail the inspection time, inspection object, violation type, violation degree and other information, providing a basis for early warning and disposal.

[0040] The early warning and disposal module is used to generate early warning signals and provide disposal suggestions based on the compliance inspection results.

[0041] Among them, the early warning and disposal module divides the warning into three levels: red (urgent), yellow (important), and blue (reminder) according to the severity of the violation. For over-budget expenditures in budget management, the system will issue a red warning and automatically notify the budget management department and the leaders of the institute in charge; for minor delays in the contract performance process, the system will issue a blue reminder to notify the relevant business handlers to pay attention. At the same time, the system will automatically generate disposal suggestions based on historical disposal experience, such as adjusting budget plans, strengthening supplier management, and improving internal control systems, to help managers respond and handle problems quickly.

[0042] Specifically, the early warning and disposal module has set up a hierarchical response mechanism. For red warnings, the system automatically triggers the emergency response process, notifies relevant responsible persons through SMS, email and other means, and requires disposal to be completed within the specified time; for yellow warnings, the system pushes warning information through the work platform, and the business department organizes research solutions; for blue reminders, the system displays prompt information on the business system interface to remind relevant personnel to pay attention. After the disposal is completed, the system automatically records the disposal process and results, forms an early warning disposal file, and provides a reference for the continuous improvement of internal control management. The early warning disposal module also established an early warning upgrade mechanism. When a low-level warning is not effectively handled within the specified time, it is automatically upgraded to a high-level warning to ensure that the problem can be solved in a timely manner.

[0043] In one embodiment, referring to Figure 2 , the internal control rule engine includes: The rule configuration unit is used to establish a rule model according to the internal control management basic data to obtain an initial rule model.

[0044] The rule configuration unit builds a standardized rule model by analyzing the management requirements in the internal control management basic data. The system first performs semantic analysis on the management requirements to identify key elements such as control objects, control conditions, and control actions; then maps these elements to the corresponding rule structure based on the preset rule template library; and finally generates an initial rule model containing trigger conditions, judgment logic, and execution actions.

[0045] Specifically, the rule configuration unit uses a visual rule configuration interface to support managers to assemble rules by dragging and dropping. The configuration interface provides a rich rule component library, including conditional components, logical components, and action components. Managers can select appropriate components for combination according to business needs, and the system automatically converts the combination results into a standard rule model.

[0046] The rule verification unit is used to verify the validity based on the initial rule model to obtain a verified rule model.

[0047] The rule verification unit verifies the validity of the initial rule model in multiple dimensions to ensure the enforceability and accuracy of the rules. The system first checks the integrity of the rule model to verify whether it contains the necessary rule elements; then performs a syntax check to ensure that the logical structure of the rule is correct; and finally simulates the rule through test data to verify whether the rule can achieve the expected control effect.

[0048] The rule execution unit is used to generate executable monitoring rules based on the verified rule model and deploy them to the business system.

[0049] The rule execution unit is responsible for converting the verified rule model into monitoring rules that can be identified and executed by the specific business system. The system first converts the rule model into the corresponding rule script or configuration file according to the interface specification of the target business system; then pushes the converted rules to the business system through the rule deployment interface; finally, the post-deployment functional verification is performed to ensure that the rules can run normally in the actual environment.

[0050] In one embodiment, referring to Figure 3 , the data acquisition module includes: The interface configuration unit is used to determine the required business data items according to the internal control rule data and obtain the data collection plan.

[0051] The data processing unit is used to obtain data from the business system based on the data collection plan and perform standardized processing to obtain normalized data.

[0052] The data storage unit is used to establish a classified storage structure based on normalized data to achieve persistent data management.

[0053] In this embodiment, the data storage unit classifies and stores the normalized data according to the business attributes. The system designs a multi-dimensional data storage structure, including business dimension, time dimension, organizational dimension, etc., to achieve logical classification of data; adopts a distributed storage architecture, selects appropriate storage strategies according to data volume and access characteristics; establishes a data index mechanism to improve data retrieval efficiency.

[0054] Specifically, the system sets different storage strategies according to the importance and frequency of use of the data, such as storing hot data in high-speed storage media and regularly archiving cold data; establishing a data backup and recovery mechanism to ensure data security; and implementing data access control to limit the scope of data access based on user permissions.

[0055] In one embodiment, referring to Figure 4 , the compliance checking module includes: The rule matching unit is used to match the business execution data with the internal control rule data to obtain the data set to be checked.

[0056] The compliance analysis unit is used to perform compliance analysis based on the data set to be checked to obtain a violation risk assessment result.

[0057] Among them, the compliance analysis unit includes a matching degree calculation subunit, a risk assessment subunit, a trend analysis subunit and a correlation analysis subunit. The matching degree calculation subunit is used to compare the business data in the inspection data set with the internal control rules item by item, calculate the compliance matching degree of each indicator, and obtain compliance measurement data; the risk assessment subunit is based on the compliance measurement data, combined with the importance and impact scope of the business field to make a comprehensive score, and obtain risk level assessment data; the trend analysis subunit identifies the risk evolution trend according to the time series changes of the risk level assessment data, and obtains risk trend data; the correlation analysis subunit analyzes the risk correlation between different business fields based on the risk level assessment data and risk trend data, and obtains a risk correlation map; among them, the violation risk assessment results include compliance measurement data, risk level assessment data, risk trend data and risk correlation map.

[0058] Specifically, the compliance analysis unit uses a multi-dimensional analysis method to achieve a comprehensive assessment of the risk of violations. In the matching calculation phase, the system adopts a hierarchical indicator system to score from three levels: basic compliance, execution quality, and stability. For example, the basic layer evaluates the compliance of the numerical range and process integrity, the execution layer focuses on timeliness and accuracy, and the stability layer examines continuous performance. Finally, the comprehensive matching degree is calculated through weight calculation. In the risk assessment phase, differentiated scoring standards are set for different business types. For example, in budget management, the focus is on the proportion of over-budget, in procurement management, the focus is on supplier standardization, and in asset management, the focus is on the use efficiency evaluation. The risk level assessment results are obtained through comprehensive calculation. In the trend analysis phase, the system uses time series analysis technology to identify the law of risk changes, predicts the risk situation by establishing a prediction model, and sets early warning thresholds for dynamic monitoring. The correlation analysis phase is based on graph database technology to build a risk correlation network between business fields, analyze risk transmission paths, such as the financial correlation between budget and procurement, the business correlation between assets and contracts, etc., and help managers understand the systemic impact of risks through visual display. The system organically integrates these analysis dimensions to generate a comprehensive assessment report that includes quantitative indicators, grade assessment, trend forecasting and correlation analysis, providing multi-level risk information support for internal control management decisions.

[0059] The problem identification unit is used to determine non-compliant items based on the violation risk assessment results and obtain a list of violation issues.

[0060] In one embodiment, referring to Figure 5 , the early warning and disposal modules include: The warning generation unit is used to calculate the warning level and scope according to the violation problem list to obtain warning information.

[0061] The impact assessment unit is used to analyze business relevance based on the early warning information and obtain an impact assessment report.

[0062] The system first builds a business association model to identify upstream and downstream business links related to the violation; then analyzes the direct and indirect impact of the problem, including economic losses, efficiency impact, compliance risks, etc.; finally, it evaluates the spread of the problem and predicts possible chain reactions. For example, when there is a violation in the procurement process, the system will analyze its collateral impact on budget execution, contract management, asset warehousing and other links.

[0063] Specifically, the system sets up a standardized evaluation indicator system, including impact degree indicators, impact scope indicators and duration indicators; calculates the quantitative score of each indicator through a data model; makes qualitative judgments on potential risks based on case analysis in the expert experience library; and forms a complete evaluation report that includes data analysis, case references and expert advice.

[0064] The disposal recommendation unit is used to generate corrective measures and requirements based on the impact assessment report.

[0065] The system first retrieves the experience of handling similar problems from the historical case library; then, based on the specific characteristics of the current problem and the impact assessment results, it formulates personalized rectification measures; finally, it sets the rectification time limit and acceptance criteria to form complete rectification requirements.

[0066] In one embodiment, referring to Figure 6 , also includes an evaluation and analysis module, the evaluation and analysis module includes: The internal control evaluation unit is used to obtain internal control execution evaluation data based on compliance inspection results and early warning disposal situations.

[0067] Among them, the system sets evaluation indicators from three dimensions: system soundness, implementation effectiveness and risk prevention and control effectiveness, including key indicators such as system coverage, implementation deviation rate, and risk discovery rate; through data mining technology, analyze compliance inspection data and early warning disposal records, and calculate the scores of various indicators; combine the characteristics of different business areas to set differentiated scoring standards.

[0068] Specifically, the system adopts a rolling assessment method to regularly collect and update assessment data; ensures the standardization of the assessment work by setting assessment cycles and nodes; establishes an assessment indicator correction mechanism to dynamically adjust indicator weights and standards based on management needs; and forms an assessment data trend chart to intuitively display changes in the level of internal control management.

[0069] The analysis and reporting unit is used to generate an internal control evaluation report based on the internal control execution evaluation data.

[0070] The improvement suggestion unit is used to make optimization suggestions based on the internal control evaluation report.

[0071] In one embodiment, referring to Figure 7 , the rectification tracking module includes: The rectification task unit is used to generate rectification tasks based on early warning information and disposal suggestions and obtain rectification implementation plans.

[0072] The execution monitoring unit is used to track the progress of rectification based on the rectification implementation plan and obtain rectification execution data.

[0073] The effect evaluation unit is used to evaluate the rectification effect according to the rectification execution data and obtain the rectification evaluation result.

[0074] In one embodiment, referring to Figure 8 , the internal control rules engine also includes: The rule base management unit is used to update and maintain the rule base according to the internal control management requirements and obtain the latest rule version; A rule deployment unit is used to update the monitoring rules in the business system based on the latest rule version and obtain the rule deployment results; The monitoring adjustment unit is used to dynamically update monitoring parameters according to the rule deployment results.

[0075] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereto. Therefore, any equivalent changes made according to the structure, shape, and principle of the present application should be included in the protection scope of the present application.

Claims

1. A hospital internal control management system based on an intelligent integrated management platform, characterized in that: include: The internal control configuration module is used to obtain the hospital's internal control management requirements, including management requirements at the unit level and management requirements at the business level, and obtain the basic data for internal control management; An internal control rule engine is used to convert internal control requirements into executable monitoring rules based on the internal control management basic data, and connect to the corresponding business system to obtain internal control rule data; A data collection module is used to establish a business system interface based on the internal control rule data, collect the operation data of each business system in real time, and obtain business execution data; A compliance checking module, used to compare and analyze the internal control rule data and the business execution data to obtain compliance checking results; The early warning and disposal module is used to generate early warning signals and provide disposal suggestions based on the compliance inspection results.

2. The hospital internal control management system based on the intelligent integrated management platform according to claim 1 is characterized in that: The internal control rule engine includes: A rule configuration unit is used to establish a rule model according to the internal control management basic data to obtain an initial rule model; A rule verification unit, used to verify the validity based on the initial rule model to obtain a verified rule model; The rule execution unit is used to generate executable monitoring rules according to the verified rule model and deploy them to the business system.

3. The hospital internal control management system based on the intelligent integrated management platform according to claim 2 is characterized in that: The data acquisition module comprises: An interface configuration unit, used to determine the required business data items according to the internal control rule data and obtain a data collection plan; A data processing unit, used to obtain data from the business system based on the data collection scheme and perform standardized processing to obtain standardized data; The data storage unit is used to establish a classified storage structure according to the normalized data to achieve persistent data management.

4. The hospital internal control management system based on the intelligent integrated management platform according to claim 1 is characterized in that: The compliance checking module includes: A rule matching unit, used to match the business execution data with the internal control rule data to obtain a data set to be checked; A compliance analysis unit, used to perform compliance analysis based on the data set to be checked to obtain a violation risk assessment result; The problem identification unit is used to determine non-compliant items based on the violation risk assessment results and obtain a list of violation issues.

5. The hospital internal control management system based on the intelligent integrated management platform according to claim 4 is characterized in that: The compliance analysis unit comprises: The matching degree calculation subunit is used to compare the business data in the data set to be checked with the internal control rules item by item, calculate the compliance matching degree of each indicator, and obtain compliance measurement data; A risk assessment subunit is used to perform a comprehensive score based on the compliance measurement data in combination with the importance and impact scope of the business field to obtain risk level assessment data; A trend analysis subunit, used to identify the risk evolution trend according to the temporal changes of the risk level assessment data, and obtain risk trend data; A correlation analysis subunit, used to analyze the risk correlation between different business areas based on the risk level assessment data and risk trend data to obtain a risk correlation map; Among them, the violation risk assessment results include compliance measurement data, risk level assessment data, risk trend data and risk correlation map.

6. The hospital internal control management system based on the intelligent integrated management platform according to claim 1 is characterized in that: The early warning and disposal module includes: An early warning generation unit is used to calculate the early warning level and scope according to the list of violation issues and obtain early warning information; An impact assessment unit, configured to analyze business relevance based on the warning information to obtain an impact assessment report; A disposal suggestion unit is used to generate corrective measures and requirements based on the impact assessment report.

7. The hospital internal control management system based on the intelligent integrated management platform according to claim 1 is characterized in that: It also includes an evaluation and analysis module, which includes: The internal control evaluation unit is used to obtain internal control execution evaluation data based on compliance inspection results and early warning disposal situations; An analysis and reporting unit, configured to generate an internal control evaluation report based on the internal control execution evaluation data; The improvement suggestion unit is used to make optimization suggestions based on the internal control evaluation report.

8. The hospital internal control management system based on the intelligent integrated management platform according to claim 1 is characterized in that: It also includes a rectification tracking module, which includes: The rectification task unit is used to generate rectification tasks based on early warning information and disposal suggestions, and obtain rectification implementation plans; An execution monitoring unit, used to track the rectification progress based on the rectification implementation plan and obtain rectification execution data; The effect evaluation unit is used to evaluate the rectification effect according to the rectification execution data to obtain a rectification evaluation result.

9. The hospital internal control management system based on the intelligent integrated management platform according to claim 1, characterized in that: The internal control rule engine also includes: The rule base management unit is used to update and maintain the rule base according to the internal control management requirements and obtain the latest rule version; A rule deployment unit, used to update the monitoring rules in the business system based on the latest rule version to obtain a rule deployment result; A monitoring adjustment unit is used to dynamically update monitoring parameters according to the rule deployment result.

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