Hospital integrated service platform system for performance assessment

Abstract

The invention relates to the technical field of hospital integrated management, in particular to a hospital integrated service platform system for performance appraisal, which comprises a data quality control module, a simulation appraisal module and an appraisal result analysis module, the data quality control module is used for performing format verification and logic consistency verification on the data uploaded by the hospital, performing abnormal data detection and data integrity check on the uploaded data, correcting the data and then feeding back a data quality control result; the simulation assessment module is used for carrying out simulation assessment according to the formulated performance assessment indexes and scoring rules after the data quality meets the requirements, carrying out assessment scoring based on assessment index data and outputting an assessment result; and the assessment result analysis module is used for carrying out index and historical trend analysis on the assessment result of the hospital after the simulation assessment is completed, and finding out problems in hospital operation. Rapid and accurate simulation examination is carried out on the hospital, and the examination result is output, so that the examination efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of hospital integrated management, and in particular to a hospital integrated service platform system for performance appraisal. Background Art

[0002] In the current complex and ever-changing medical environment, hospital performance appraisal plays a vital role. It is not only a yardstick for evaluating hospital operation quality and measuring medical service level, but also a key driving force for promoting continuous improvement and enhancing comprehensive competitiveness of hospitals. However, traditional performance appraisal methods face many challenges and limitations.

[0003] Manual reporting and paper records are traditional means of data collection, which are inefficient and prone to errors, leading to endless problems such as incomplete data collection, confusing formats, and logical contradictions. These problems not only increase the difficulty of data processing, but also seriously weaken the accuracy and fairness of the assessment results, greatly reducing the authority of performance appraisal.

[0004] More importantly, the traditional assessment process often stops at the output of results, lacks in-depth data analysis and effective feedback mechanisms. Potential problems, management loopholes and room for improvement in hospital operations are often ignored or covered up, which undoubtedly limits the development potential of hospitals and hinders the continuous improvement of medical services. Summary of the invention

[0005] In response to the problems existing in traditional assessment methods, the present invention provides a hospital integrated service platform system for performance assessment, which can not only ensure the accuracy, completeness and consistency of data, but also be able to deeply explore potential problems in hospital operations, provide hospitals with targeted improvement suggestions, and promote the sustainable and healthy development of hospitals.

[0006] The technical solution of the present invention provides a hospital integrated service platform system for performance appraisal, including a data quality control module, a simulation appraisal module and an appraisal result analysis module; The data quality control module is used to perform format verification and logic consistency verification on the data uploaded by the hospital, detect abnormal data and check data integrity, and provide feedback on the data quality control results after correcting the data; The simulation assessment module is used to conduct simulation assessments according to the established performance assessment indicators and scoring rules after the data quality meets the requirements, and output the assessment results based on the assessment indicator data; The assessment result analysis module is used to analyze the indicators and historical trends of the hospital's assessment results after the simulation assessment is completed, and to identify problems in hospital operations.

[0007] As a preferred embodiment of the technical solution of the present invention, the system also includes a data introduction module, which introduces the data into the system after standardizing the data in a standard data introduction template.

[0008] As a preferred embodiment of the technical solution of the present invention, the data quality control module includes a data format verification unit and a logic consistency verification unit; The data format verification unit is used to verify the date format, numeric type fields and required fields of the reported data uploaded by the hospital, specifically verifying whether the date format is correct, whether the numeric type fields are numeric values, and whether the required fields are empty; The logic consistency check unit is used to check the logical consistency between data, including whether the range of quantitative data is legal and whether the calculation formula of each data is reasonable.

[0009] As a preferred embodiment of the technical solution of the present invention, the data quality control module includes an abnormal data detection unit, a data integrity check unit and an abnormal correction feedback unit; An abnormal data detection unit is used to automatically identify data that does not conform to the normal pattern through the set data anomaly detection logic; the data anomaly detection logic includes whether there is a repeated filling, whether there is abnormal data with extreme values, and whether there is an abnormal historical data comparison result; Data integrity check unit, used to check whether the data of all indicator items have been fully filled in, and to determine whether necessary materials or self-assessment data are missing; The abnormal correction feedback unit is used to obtain the feedback results of the abnormal data detection unit and the data integrity check unit, output a correction prompt box when there is abnormal data or incomplete data, and receive the corrected data and feed it back to the abnormal data detection unit and the data integrity check unit for re-inspection.

[0010] As a preferred embodiment of the technical solution of the present invention, the system further includes an assessment and scoring index management module, which specifically includes a weight management unit, a reference value management unit and a scoring scheme management unit; The weight management unit is used to edit, clone and delete the weights of indicators, directly disable and enable the weight scheme, and set weight scores for different indicators and different types of hospitals; The reference value management unit is used to maintain reference values ​​for different indicators and different types of hospitals. The reference value management unit includes reference value plan list query, reference value plan addition, reference value plan deletion, reference value plan editing list query, reference value plan editing and addition, reference value plan editing and saving, and reference value plan cloning functions.

[0011] The grading scheme management unit is used to provide a grading scheme list. In the grading scheme list, a list of multiple grading schemes that have been created is displayed, and they are grouped by assessment year by default. New grading schemes can be added, and maintenance operations such as editing, cloning, and deactivating and activating existing schemes can be performed in the operation column of the list.

[0012] As a preferred embodiment of the technical solution of the present invention, the system also includes an assessment scoring scheme configuration module for configuring the weights, reference values, indicator sources and indicator scoring schemes of the assessment indicators.

[0013] As a preferred embodiment of the technical solution of the present invention, the simulation assessment module includes an indicator calculation unit and a simulation scoring unit; The indicator calculation unit is used to score the reported indicator data according to the preset scoring formula and weights, including: for quantitative indicators, the score is calculated according to the numerical value reported by the hospital and the reference standard; for qualitative indicators, the preliminary score is made according to the self-evaluation data and relevant supporting materials provided by the hospital; The simulation scoring unit scores according to the performance appraisal scoring plan. The appraisal indicators of the appraisal scoring plan include the weight of each indicator, reference value, comparison of historical data, and scoring rules. The overall performance score of the hospital is calculated by comprehensively considering the scores of all indicators.

[0014] As a preferred embodiment of the technical solution of the present invention, the assessment result analysis module includes an indicator analysis unit, which performs horizontal and vertical comparisons based on the indicator scores of each hospital. Specifically, the scores of each hospital on the same indicator are compared to find out the hospitals whose indicator scores are lower than the set value; it also performs trend analysis on the hospital's historical data to determine whether the hospital has a trend of declining performance or continued downturn based on the changes in the hospital's scores in each year's performance assessment.

[0015] As a preferred embodiment of the technical solution of the present invention, the assessment result analysis module also includes a problem diagnosis unit, which automatically displays the indicator items of the hospital that are lower than the corresponding set values ​​in various indicators through comparative analysis; if the assessment result is abnormal, it traces back to the root cause of the problem and outputs prompt information to help the hospital find problems in specific operations.

[0016] As a preferred embodiment of the technical solution of the present invention, the system also includes a comprehensive evaluation report generation module, which is used to automatically generate an assessment result analysis report based on the assessment results. The report content includes: detailed distribution of scores of each indicator, ranking of scores of each hospital, and matching improvement suggestions for problems based on the scores of each indicator.

[0017] The beneficial effects of the technical solution of the present invention are as follows: the data uploaded by the hospital is format checked, logically consistent checked, abnormal data detected and checked for data integrity through the data quality control module to ensure the accuracy, integrity and consistency of the data, and provide a reliable data basis for subsequent simulation assessments. Using the simulation assessment module, a quick and accurate simulation assessment of the hospital is conducted according to the established performance assessment indicators and scoring rules, and the assessment results are output, which greatly improves the assessment efficiency. The assessment result analysis module analyzes the indicators and historical trends of the hospital's assessment results, which can deeply explore potential problems in hospital operations, provide targeted improvement suggestions for the hospital, and help the hospital to continuously improve and upgrade. By introducing the data introduction module, the data is standardized to ensure that the data format is unified, easy to process and analyze, and further improve the compatibility and scalability of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solution of the present invention, the accompanying drawings required for use in the description will be briefly introduced below. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0019] Figure 1 A connection block diagram of a system provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0020] In order to make the purpose, features and advantages of the present invention more obvious and easy to understand, the technical scheme of the present invention will be clearly and completely described below in conjunction with the drawings in this specific embodiment. Obviously, the embodiments described below are only part of the embodiments of the present invention, not all of them. Based on the embodiments in this patent, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this patent.

[0021] like Figure 1 As shown, an embodiment of the present invention provides a hospital integrated service platform system for performance appraisal, including a data quality control module, a simulation appraisal module and an appraisal result analysis module; The data quality control module is used to perform format verification and logic consistency verification on the data uploaded by the hospital, detect abnormal data and check data integrity, and provide feedback on the data quality control results after correcting the data; The simulation assessment module is used to conduct simulation assessments according to the established performance assessment indicators and scoring rules after the data quality meets the requirements, and output the assessment results based on the assessment indicator data; The assessment result analysis module is used to analyze the indicators and historical trends of the hospital's assessment results after the simulation assessment is completed, and to identify problems in hospital operations.

[0022] The system also includes a data introduction module, which introduces the data into the system after standardizing the data in a standard data introduction template.

[0023] First, the system provides a standard data import template, which defines the data fields, data types, data formats and other requirements to ensure that the data uploaded by the hospital meets the system processing standards. The hospital organizes the relevant data and uploads it to the system according to the template requirements. After receiving the data, the system automatically performs standardization processing, including data format conversion, data type verification, etc., to ensure the consistency and processability of the data. The system performs format verification on the imported data to check whether the date format, numeric type fields, required fields, etc. meet the requirements.

[0024] Then, a logical consistency check is performed to check whether the logical relationship between the data is reasonable, such as whether the range of quantitative data is legal, whether the calculation formula of each data is accurate, etc. For abnormal data and missing data, the system detects and attempts to correct them. If they cannot be corrected, they are marked as abnormal data, and the data quality control results are fed back to the hospital. After the data quality meets the requirements, the system conducts a simulated assessment of the hospital based on the preset performance appraisal indicators and scoring rules. The appraisal indicators may include multiple dimensions such as medical quality, service efficiency, and patient satisfaction. The scoring rules are set according to the weight of the appraisal indicators and the actual situation. The system conducts appraisal and scoring based on the appraisal indicator data, and outputs the appraisal results, including the scores of each indicator, the total score, and the ranking information.

[0025] After the simulation assessment is completed, the system conducts an in-depth analysis of the hospital's assessment results. The analysis includes the scores of various assessment indicators, historical trend changes, comparisons with other hospitals, etc. Through analysis, the system can identify the strengths and weaknesses of the hospital's operations and provide targeted improvement suggestions for the hospital.

[0026] The application of the data introduction module and the data quality control module ensures the accuracy, completeness and consistency of the data uploaded by the hospital, and provides a reliable data basis for the subsequent simulation assessment and result analysis. The simulation assessment module realizes automated assessment, avoids the tediousness and inefficiency of traditional manual assessment, and significantly improves the assessment efficiency. The assessment result analysis module can dig out potential problems and improvement space in hospital operations through in-depth analysis of the assessment results, and provide valuable improvement suggestions for the hospital. The application of this system makes the hospital performance assessment work more scientific, objective and fair, and helps the hospital to continuously improve and enhance the level of medical services.

[0027] In some embodiments, the data quality control module includes a data format verification unit and a logic consistency verification unit; The data format verification unit is used to verify the date format, numeric type fields and required fields of the reported data uploaded by the hospital, specifically verifying whether the date format is correct, whether the numeric type fields are numeric values, and whether the required fields are empty; The logic consistency check unit is used to check the logical consistency between data, including whether the range of quantitative data is legal and whether the calculation formula of each data is reasonable.

[0028] It should be noted that the system presets a variety of common date formats (such as YYYY-MM-DD, DD / MM / YYYY, etc.), and allows hospitals to select or specify the format when uploading data. The system verifies the date field according to the selected format to ensure the correctness of the date data.

[0029] Numeric field validation: For fields marked as numeric, the system checks whether they are valid numbers or numeric strings. If the field contains non-numeric characters or is empty, the validation fails.

[0030] Mandatory field verification: The system checks whether all mandatory fields in the data uploaded by the hospital have been filled in according to the preset mandatory field list. If there are mandatory fields that are not filled in, the hospital will be prompted to complete them.

[0031] When checking the logical consistency of the unit, the system verifies the quantitative data according to the preset data range rules. For example, the value of the age field should be between 0 and 120 years old. If it exceeds this range, it is considered abnormal data. For data that needs to be obtained through calculation formulas (such as bed occupancy rate, average length of stay, etc.), the system verifies it according to the preset formula. If the calculation result does not match the uploaded data, the hospital is prompted to verify the data or adjust the formula.

[0032] The application of data format verification unit and logic consistency verification unit ensures that the data uploaded by the hospital meets the preset requirements in terms of format and logic, thereby improving the accuracy of the data. Through strict verification rules, the system can promptly detect and correct errors in the data, avoiding deviations in assessment results caused by data errors. The automated data verification process greatly reduces the workload of manual review and improves work efficiency. The credibility of strictly verified data is significantly improved, providing reliable data support for subsequent simulation assessments and result analysis.

[0033] In some embodiments, the data quality control module includes an abnormal data detection unit, a data integrity check unit, and an abnormal correction feedback unit; An abnormal data detection unit is used to automatically identify data that does not conform to the normal pattern through the set data anomaly detection logic; the data anomaly detection logic includes whether there is a repeated filling, whether there is abnormal data with extreme values, and whether there is an abnormal historical data comparison result; Data integrity check unit, used to check whether the data of all indicator items have been fully filled in, and to determine whether necessary materials or self-assessment data are missing; The abnormal correction feedback unit is used to obtain the feedback results of the abnormal data detection unit and the data integrity check unit, output a correction prompt box when there is abnormal data or incomplete data, and receive the corrected data and feed it back to the abnormal data detection unit and the data integrity check unit for re-inspection.

[0034] The system identifies and marks duplicate records by comparing data from different times or different sources. For suspected duplicate data, the system will conduct further manual confirmation or automatic deduplication. The system presets a reasonable range of values ​​or thresholds and marks data that exceeds this range. For example, for key indicators such as hospital revenue and number of patients, the system will identify and mark abnormally high or low values. The system will compare current data with historical data to identify abnormal patterns of data changes. For example, if the number of patients in a hospital suddenly increases or decreases in a short period of time, the system will mark it as abnormal data.

[0035] The system checks whether all indicators in the data uploaded by the hospital have been filled in according to the preset assessment indicator system. For indicators that have not been filled in, the system will mark them and prompt the hospital to complete them. In addition to the indicator data, the system will also check whether the hospital has uploaded the necessary self-evaluation report, certification materials, etc. If these materials are missing, the system will prompt the hospital to upload them.

[0036] When the abnormal data detection unit and the data integrity check unit find abnormal data or incomplete data, the system will pop up a correction prompt box to display the specific abnormal information or missing data items, and prompt the hospital to make corresponding corrections. After the hospital corrects the data, the system will resubmit the corrected data to the abnormal data detection unit and the data integrity check unit for re-inspection. If the data still does not meet the requirements, the system will continue to prompt the hospital to make corrections until the data meets the quality requirements.

[0037] The application of abnormal data detection unit and data integrity check unit ensures that the data uploaded by the hospital is both free of abnormalities and complete, thereby improving the overall quality of the data. Through strict abnormality detection and data integrity check, the system can promptly detect and correct errors and omissions in the data, avoiding deviations in assessment results caused by data errors or omissions. The automated data detection and inspection process greatly reduces the workload of manual review and improves work efficiency. At the same time, the introduction of the correction prompt box also makes the data correction process more convenient and efficient. The credibility of the data that has been strictly tested and inspected has been significantly improved, providing more reliable data support for subsequent simulation assessments and results analysis.

[0038] In some embodiments, the system further includes an assessment and scoring indicator management module, which specifically includes a weight management unit, a reference value management unit, and a scoring scheme management unit; The weight management unit is used to edit, clone and delete the weights of indicators, directly disable and enable the weight scheme, and set weight scores for different indicators and different types of hospitals; The reference value management unit is used to maintain reference values ​​for different indicators and different types of hospitals. The reference value management unit includes reference value plan list query, reference value plan addition, reference value plan deletion, reference value plan editing list query, reference value plan editing and addition, reference value plan editing and saving, and reference value plan cloning functions.

[0039] The grading scheme management unit is used to provide a grading scheme list. In the grading scheme list, a list of multiple grading schemes that have been created is displayed, and they are grouped by assessment year by default. New grading schemes can be added, and maintenance operations such as editing, cloning, and deactivating and activating existing schemes can be performed in the operation column of the list.

[0040] The system provides a weight editing interface, allowing users to set different weight scores for different indicators and different types of hospitals. Users can set weight values ​​by inputting or adjusting sliders. For the set weight scheme, users can select the clone function to quickly copy and generate a new weight scheme, which is convenient for applying similar but different weight settings between different assessment cycles or assessment objects. Users can delete weight schemes that are no longer needed, or temporarily disable a scheme so that it can be quickly enabled when needed.

[0041] The system provides a reference value scheme list query function, and users can view the created reference value schemes, including scheme name, creation time, applicable scope and other information. At the same time, users can add reference value schemes and set reasonable reference value ranges for different indicators and different types of hospitals. For existing reference value schemes, users can edit them, adjust the reference value range or update other relevant information. The system also provides an edit list query function to facilitate users to quickly locate and edit specific schemes. Similar to weight management, users can also choose to clone existing reference value schemes, quickly generate new schemes, and make appropriate adjustments as needed.

[0042] The system lists the created scoring schemes by assessment year, and users can clearly see the key information of each scheme, such as name, creation time, applicable objects, etc. Users can add scoring schemes through the interface, or select existing schemes for editing. During the editing process, users can set key parameters such as scoring criteria and weight distribution. The system provides a scoring scheme cloning function, which allows users to quickly copy and adjust existing schemes. At the same time, users can also delete schemes that are no longer needed, or temporarily disable a scheme.

[0043] The weight management unit and reference value management unit allow users to make detailed settings according to different hospital types and different assessment indicators, making the assessment system more flexible and adaptable. By providing a cloning function, users can quickly copy and adjust existing plans, greatly simplifying the workload of formulating and adjusting assessment plans. The scoring plan management unit ensures the transparency and consistency of assessment standards, reduces the possibility of human intervention, and enhances the fairness and objectivity of the assessment. The system provides an intuitive and easy-to-use interface and functions, allowing users to quickly and efficiently formulate, adjust and manage assessment scoring plans, thereby improving overall work efficiency.

[0044] In some embodiments, the system further includes an assessment scoring scheme configuration module for configuring the weights, reference values, indicator sources, and indicator scoring schemes of the assessment indicators.

[0045] Accordingly, the simulation assessment module includes an indicator calculation unit and a simulation scoring unit; The indicator calculation unit is used to score the reported indicator data according to the preset scoring formula and weights, including: for quantitative indicators, the score is calculated according to the numerical value reported by the hospital and the reference standard; for qualitative indicators, the preliminary score is made according to the self-evaluation data and relevant supporting materials provided by the hospital; The simulation scoring unit scores according to the performance appraisal scoring plan. The appraisal indicators of the appraisal scoring plan include the weight of each indicator, reference value, comparison of historical data, and scoring rules. The overall performance score of the hospital is calculated by comprehensively considering the scores of all indicators.

[0046] In this module, users can assign corresponding weights to each assessment indicator. The weight value should be between 0 and 1, and the sum of the weights of all indicators should be equal to 1. The system provides a weight assignment interface, and users can set weights by dragging sliders or entering values. For quantitative indicators, users need to set a reasonable reference value range. The system allows users to set different reference values ​​for different indicators based on factors such as hospital type and department characteristics. Users need to specify the source of each indicator, such as whether it is directly extracted from the hospital information system (HIS) or reported by the hospital itself. Users need to configure a scoring scheme for each indicator, including scoring formulas, scoring criteria, etc. For quantitative indicators, the scoring formula may be based on a comparison of the values ​​reported by the hospital with the reference values; for qualitative indicators, the scoring criteria may be based on a comprehensive evaluation of self-evaluation data and relevant supporting materials.

[0047] After the configuration is completed, the user can save the assessment scoring plan and submit it to the superior for review. After the review is passed, the plan will be used in subsequent simulation assessments and actual assessments.

[0048] The system calculates the scores of quantitative indicators according to the scoring formula based on the values ​​reported by the hospital and the preset reference value range. For example, if the values ​​reported by the hospital are within the reference value range, full marks will be awarded; if they are beyond the range, points will be deducted according to the degree of excess. The system makes a preliminary score based on the self-evaluation data and relevant supporting materials provided by the hospital. The scoring process may involve expert review or automatic system evaluation, depending on the complexity of the scoring formula and the nature of the indicator.

[0049] The system calculates the overall performance score of the hospital based on the configured assessment and scoring scheme, taking into account the scores of all indicators. During the scoring process, the system will conduct a comprehensive assessment based on the weight, reference value, historical data comparison and scoring rules of each indicator. After the simulation scoring is completed, the system will display the overall performance score of the hospital and the scores of each indicator in an intuitive way. Users can further analyze and evaluate the performance assessment of the hospital based on the scores.

[0050] The assessment scoring scheme configuration module allows users to flexibly configure assessment indicators, weights, reference values ​​and scoring schemes according to actual needs, so that the assessment system is more in line with the actual situation and assessment goals of the hospital. The simulation assessment module automatically calculates the hospital's overall performance score and the score of each indicator by applying the preset assessment scoring scheme, reducing the possibility of human intervention and enhancing the objectivity and fairness of the assessment results. The system provides automated assessment calculation and scoring functions, which greatly reduces the workload of assessors and improves work efficiency. At the same time, the system also supports rapid query and display of assessment results, which facilitates users to further analyze and evaluate the assessment results. Through simulation assessment and result analysis, hospitals can clearly understand their performance assessment situation, identify existing problems and deficiencies, and thus formulate targeted improvement measures to promote continuous improvement and improvement of hospitals.

[0051] As a preferred embodiment of the technical solution of the present invention, the assessment result analysis module includes an indicator analysis unit, which performs horizontal and vertical comparisons based on the indicator scores of each hospital. Specifically, the scores of each hospital on the same indicator are compared to find out the hospitals whose indicator scores are lower than the set value; it also performs trend analysis on the hospital's historical data to determine whether the hospital has a trend of declining performance or continued downturn based on the changes in the hospital's scores in each year's performance assessment.

[0052] The system will first collect the scores of all participating hospitals on the same indicator. It will then sort and compare these scores to find out which hospitals have scores below the set threshold or average. These hospitals may need to improve or optimize on this indicator. In addition to simple sorting and comparison, the system can also generate a distribution map or box plot of indicator scores to more intuitively show the distribution of scores of each hospital on the same indicator. This helps managers identify hospitals with abnormal scores or deviations from the norm.

[0053] The system will collect the hospital's score data in each year's performance appraisal and conduct trend analysis. By drawing a line graph or a bar graph, the system can clearly show the changes in the hospital's scores on the same indicator in different years. This helps managers determine whether the hospital has a trend of declining performance or a sustained downturn. In addition to showing the trend of score changes, the system can also try to analyze the reasons for performance changes. For example, it can provide managers with possible explanations and suggestions based on the hospital's score changes on the indicator, combined with other relevant information of the hospital (such as policy changes, personnel changes, equipment updates, etc.). The system will present the analysis results to the user in an intuitive way, including charts, tables, etc. At the same time, users can also generate detailed assessment results analysis reports as needed, including the results of horizontal and vertical comparisons, score distribution, reasons for performance changes, etc.

[0054] The indicator analysis unit can deeply explore the connotation and value of the assessment results and help managers understand the performance of the hospital more comprehensively. This helps managers make better use of the assessment results and formulate targeted improvement measures. Through horizontal comparison, each hospital can clearly see its score on the same indicator and the gap with other hospitals. This helps to stimulate the competitive awareness of hospitals and promote healthy competition and common development among hospitals. Through vertical comparison, managers can timely discover the problems and trends in the performance of the hospital. For example, if the score of a hospital on a certain indicator continues to decline, managers can immediately take measures to intervene and adjust to prevent the problem from further deteriorating. The analysis results and reports provided by the indicator analysis unit can provide a basis and support for managers' decision-making. For example, when formulating the performance appraisal plan for the next year, managers can refer to the score distribution and performance change trend in the analysis results to reasonably adjust the weight and scoring criteria of the appraisal indicators.

[0055] In some embodiments, the assessment result analysis module also includes a problem diagnosis unit, which automatically displays the indicator items of the hospital that are lower than the corresponding set values ​​in various indicators through comparative analysis; if the assessment results are abnormal, it traces back to the root cause of the problem and outputs prompt information to help the hospital find problems in specific operations.

[0056] The system will first set a reasonable range or target value for each indicator. These set values ​​can be determined based on industry standards, historical data, hospital strategies and other factors. During the evaluation result analysis phase, the problem diagnosis unit will automatically compare the hospital's actual score with the set value. If a hospital's score on a certain indicator is lower than the set value, the system will immediately mark it as a "problem indicator item."

[0057] When the overall assessment results of the hospital or the score of a key indicator are abnormal (such as far below the historical average, industry average or set value), the problem diagnosis unit will start the backtracking mechanism. The system will conduct an in-depth analysis of the assessment data, including the original data reported by the hospital, the indicator calculation process, the weight distribution, etc., to find out the possible causes of the abnormal results. During the analysis process, the system will also consider the actual situation of the hospital, such as policy changes, market environment, internal management and other factors, to provide a more comprehensive root cause analysis of the problem. Based on the results of the root cause analysis, the problem diagnosis unit will output specific prompt information, indicating in which aspects the hospital has problems and possible reasons. At the same time, the system will also provide the hospital with targeted operational improvement suggestions based on the nature and severity of the problem. These suggestions may involve process optimization, personnel training, equipment updates and other aspects.

[0058] The problem diagnosis unit can automatically identify indicators and abnormal assessment results that are lower than the set value, greatly improving the efficiency and accuracy of problem identification. The system not only identifies problems, but also deeply analyzes the root causes of the problems, providing hospitals with more comprehensive and in-depth problem diagnosis results. Based on the results of the root cause analysis of the problem, the system provides hospitals with targeted operational improvement suggestions, which helps hospitals quickly solve problems and improve performance. Through the implementation of the problem diagnosis unit, hospitals can more clearly understand their own problems and deficiencies in performance appraisal, thereby enhancing their ability and motivation for self-improvement.

[0059] In some embodiments, the system also includes a comprehensive assessment report generation module, which is used to automatically generate an assessment result analysis report based on the assessment results. The report content includes: detailed distribution of scores for each indicator, ranking of scores for each hospital, and matching improvement suggestions for problems based on the scores for each indicator.

[0060] The system first collects the information such as the scores of various indicators, hospital rankings, and problem diagnosis output by the assessment result analysis module. The data is cleaned and sorted to ensure the accuracy and consistency of the report. The report includes several parts, such as introduction, detailed distribution of scores of various indicators, hospital score rankings, problem analysis and improvement suggestions. The introduction part summarizes the assessment purpose, methods, and main contents of the report.

[0061] The report displays the distribution of scores of various indicators in the form of charts, including bar charts, pie charts, etc., which are easy to understand intuitively. The report lists the score, average, highest score, lowest score and other statistical information of each indicator.

[0062] The report provides the ranking of hospitals in the overall assessment, including the total score ranking and the ranking of individual indicators. The ranking information is presented in a table for easy comparison and search.

[0063] Based on the problem diagnosis results of the assessment result analysis module, the report lists in detail the problems existing in the hospital in various indicators. For each problem, the report provides specific improvement suggestions, including possible solutions, implementation steps and expected results.

[0064] The system automatically generates a complete assessment result analysis report, which supports export in multiple formats (such as PDF, Word, etc.). The report can be customized as needed, such as adding a hospital logo, adjusting the report style, etc.

[0065] Automatic report generation greatly reduces the time and effort of manual report writing and improves the efficiency of report generation. The report uses charts, tables and other intuitive forms to display the assessment results, which makes it easy for managers to quickly understand the overall performance status. The report lists the problems of the hospital in various indicators in detail and provides specific improvement suggestions, which helps the hospital to quickly identify problems and take measures to improve them. The report provides comprehensive assessment results and analysis for hospital managers, providing strong support for formulating the next development strategy and plan.

[0066] The above description of the disclosed embodiments enables one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A hospital integrated service platform system for performance appraisal, characterized in that: It includes data quality control module, simulation assessment module and assessment result analysis module; The data quality control module is used to perform format verification and logic consistency verification on the data uploaded by the hospital, detect abnormal data and check data integrity, and provide feedback on the data quality control results after correcting the data; The simulation assessment module is used to conduct simulation assessments according to the established performance assessment indicators and scoring rules after the data quality meets the requirements, and output the assessment results based on the assessment indicator data; The assessment result analysis module is used to analyze the indicators and historical trends of the hospital's assessment results after the simulation assessment is completed, and to identify problems in hospital operations.

2. The hospital integrated service platform system for performance appraisal according to claim 1 is characterized in that: The system also includes a data introduction module, which introduces the data into the system after standardizing the data in a standard data introduction template.

3. The hospital integrated service platform system for performance appraisal according to claim 2 is characterized in that: The data quality control module includes a data format verification unit and a logic consistency verification unit; The data format verification unit is used to verify the date format, numeric type fields and required fields of the reported data uploaded by the hospital, specifically verifying whether the date format is correct, whether the numeric type fields are numeric values, and whether the required fields are empty; The logic consistency check unit is used to check the logical consistency between data, including whether the range of quantitative data is legal and whether the calculation formula of each data is reasonable.

4. The hospital integrated service platform system for performance appraisal according to claim 3 is characterized in that: The data quality control module includes an abnormal data detection unit, a data integrity check unit and an abnormal correction feedback unit; An abnormal data detection unit is used to automatically identify data that does not conform to the normal pattern through the set data anomaly detection logic; the data anomaly detection logic includes whether there is a repeated filling, whether there is abnormal data with extreme values, and whether there is an abnormal historical data comparison result; Data integrity check unit, used to check whether the data of all indicator items have been fully filled in, and to determine whether necessary materials or self-assessment data are missing; The abnormal correction feedback unit is used to obtain the feedback results of the abnormal data detection unit and the data integrity check unit, output a correction prompt box when there is abnormal data or incomplete data, and receive the corrected data and feed it back to the abnormal data detection unit and the data integrity check unit for re-inspection.

5. The hospital integrated service platform system for performance appraisal according to claim 4 is characterized in that: The system also includes an assessment and scoring indicator management module, which specifically includes a weight management unit, a reference value management unit, and a scoring scheme management unit; The weight management unit is used to edit, clone and delete the weights of indicators, directly disable and enable the weight scheme, and set weight scores for different indicators and different types of hospitals; The reference value management unit is used to maintain reference values ​​for different indicators and different types of hospitals. The reference value management unit includes reference value scheme list query, reference value scheme addition, reference value scheme deletion, reference value scheme edit list query, reference value scheme edit addition, reference value scheme edit and save, and reference value scheme cloning functions; The grading scheme management unit is used to provide a grading scheme list. In the grading scheme list, a list of multiple grading schemes that have been created is displayed, and they are grouped by assessment year by default. New grading schemes can be added, and maintenance operations such as editing, cloning, and deactivating and activating existing schemes can be performed in the operation column of the list.

6. The hospital integrated service platform system for performance appraisal according to claim 5, characterized in that: The system also includes an assessment scoring scheme configuration module, which is used to configure the weights, reference values, indicator sources and indicator scoring schemes of the assessment indicators.

7. The hospital integrated service platform system for performance appraisal according to claim 6, characterized in that: The simulation assessment module includes an indicator calculation unit and a simulation scoring unit; The indicator calculation unit is used to score the reported indicator data according to the preset scoring formula and weights, including: for quantitative indicators, the score is calculated according to the numerical value reported by the hospital and the reference standard; for qualitative indicators, the preliminary score is made according to the self-evaluation data and relevant supporting materials provided by the hospital; The simulation scoring unit scores according to the performance appraisal scoring plan. The appraisal indicators of the appraisal scoring plan include the weight of each indicator, reference value, comparison of historical data, and scoring rules. The overall performance score of the hospital is calculated by comprehensively considering the scores of all indicators.

8. The hospital integrated service platform system for performance appraisal according to claim 7, characterized in that: The assessment result analysis module includes an indicator analysis unit, which conducts horizontal and vertical comparisons based on the indicator scores of each hospital. Specifically, it compares the scores of each hospital on the same indicator to find out the hospitals with indicator scores lower than the set value. It also conducts trend analysis on the hospital's historical data to determine whether the hospital has a trend of declining performance or continued downturn based on the changes in the hospital's scores in each year's performance assessment.

9. The hospital integrated service platform system for performance appraisal according to claim 8, characterized in that: The assessment result analysis module also includes a problem diagnosis unit, which automatically displays the hospital's indicator items that are lower than the corresponding set values ​​in various indicators through comparative analysis; if the assessment results are abnormal, it traces back to the root cause of the problem and outputs prompt information to help the hospital find problems in specific operations.

10. The hospital integrated service platform system for performance appraisal according to claim 9, characterized in that: The system also includes a comprehensive assessment report generation module, which is used to automatically generate an assessment result analysis report based on the assessment results. The report content includes: detailed distribution of scores for each indicator, ranking of scores for each hospital, and matching improvement suggestions for problems based on the scores for each indicator.

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