Performance evaluation and assessment system and method based on DIP

Abstract

The invention discloses a DIP-based performance evaluation and assessment system and method, and belongs to the technical field of medical data application. According to the scheme, a DIP-based medical quality monitoring mathematical model is established from three levels of productivity, efficiency and safety, four-level drilling from department group-department-inpatient area-physician is realized from the task dimension, and the efficiency of the medical quality monitoring mathematical model is improved. Weekly monitoring, monthly monitoring, quarterly monitoring and annual monitoring are achieved in the time dimension, a disease management system driven by DIP is established, hospital indexes are integrated to modify an existing bonus distribution and physician promotion system, medical workers are assessed and evaluated from multiple aspects such as data quality, service efficiency, service capability and medical behaviors, and the medical quality is improved. Evaluation results and clinic are combined to improve the enthusiasm of medical staff, and fine management of medical service performance and medical quality in a hospital is realized.

Description

Technical Field

[0001] The present invention belongs to the technical field of medical data application, and in particular relates to a performance evaluation and assessment system and method based on DIP. Background Art

[0002] Diagnosis-Intervention Packet (DIP) is a complete management system established by leveraging the advantages of big data. It explores the common characteristics of "disease diagnosis + treatment methods" to objectively classify medical record data, and forms a standardized positioning of each combination of disease and treatment methods in the full sample case data within a certain area. It objectively reflects the severity of the disease, the complexity of treatment, the level of resource consumption and clinical behavior norms, and can be applied to medical insurance payment, fund supervision, hospital management and other fields.

[0003] In order to ensure the sustainable and healthy operation of the payment method and avoid the phenomenon of selecting mild patients for hospitalization and shirking serious patients during the implementation process, hospital managers need to establish corresponding DIP supervision, assessment, evaluation and bonus distribution systems. At present, the performance evaluation of domestic hospitals is mostly based on workload and economic indicators. There is a lack of an evaluation method that takes into account the DIP payment economic operation, data quality, service efficiency, service capacity, medical behavior and other aspects. It ensures that while implementing the payment method reform work in the hospital, it can also achieve multi-party supervision of payment economic operation, medical services and quality. At the same time, it carries out evaluation transformation for bonus distribution and physician promotion, and provides an evaluation and distribution system based on DIP.

[0004] The disadvantages of the prior art are as follows:

[0005] Under the current DIP payment system, the existing fee system focuses on payment, which makes it easy for patients to be shirked due to losses. The hospital's current performance appraisal system cannot reflect service efficiency, service capabilities, medical behavior and other aspects, and then the hospital's appraisal system cannot be linked to DIP payment. The current bonus distribution and physician promotion system do not involve DIP indicators, and cannot reflect the assessment standards of medical workers from aspects such as data quality, service efficiency, service capabilities, and medical behavior. Therefore, hospital managers lack a comprehensive, scientific, and reasonable performance evaluation and appraisal system and method that reflects fair hospital distribution and can evaluate data quality, service efficiency, service capabilities, medical behavior and other aspects. Summary of the invention

[0006] In view of the above-mentioned deficiencies in the prior art, the present application provides a performance evaluation and assessment system and method based on DIP.

[0007] In the first aspect, the present application proposes a performance evaluation and assessment system based on DIP, including a data collection subsystem based on the medical record homepage and the medical insurance settlement list data, a DIP grouping management subsystem embedded with a DIP disease grouping model, an assessment analysis subsystem for assessment based on different DIP disease groupings, an assessment result application subsystem for bonus distribution based on the assessment analysis results, and an assessment result analysis subsystem for evaluation based on comprehensive data of the entire hospital;

[0008] The data collection subsystem is used to pre-process the data required for DIP performance evaluation and assessment, and automatically track data processing errors during data pre-processing and send platform operation logs to remind business administrators;

[0009] The DIP grouping management subsystem is used to construct a grouper according to local structured grouping rules and disease catalog library, group case data required by the DIP performance evaluation and assessment system, and feedback disease data;

[0010] The assessment analysis subsystem is used to determine the assessment unit, assessment time dimension and assessment plan, perform score analysis based on the determined information, and obtain the assessment analysis results;

[0011] The assessment result application subsystem is used to set a bonus distribution algorithm based on the assessment analysis results, and distribute bonuses to each clinical department and clinical doctors at all levels in the clinical department according to the bonus distribution algorithm;

[0012] The assessment result analysis subsystem is used to conduct horizontal comparative analysis of the assessment indicators of the entire hospital, various clinical departments, clinical doctors at all levels in clinical departments, and DIP diseases based on the grouping results of the DIP grouping management subsystem, the assessment analysis results of the assessment analysis subsystem, and the application results of the assessment result application subsystem, as well as vertical change analysis of the year-on-year comparison of the current period value with the same period value, the month-on-month comparison of the current period value with the previous period value, and the benchmark ratio of the current period value to the benchmark value, and complete performance evaluation according to each analysis result.

[0013] In some optional implementations of some embodiments, the data acquisition subsystem includes an interface configuration module, a data timing extraction module, a data verification module, and a data storage module;

[0014] The interface configuration module is used to provide a corresponding web interface according to the data interface solution required by the DIP performance evaluation and assessment system, and the corresponding configured interface access information; The data timing extraction module is used to set the automatic collection time point and batch extract data according to the settlement time period of the automatic collection time point;

[0015] The data verification module is used to view the data parsing logs in the extraction time period, verify data problems, sort out data problems, modify interface problems, or filter problematic data, and verify the data accuracy.

[0016] The data storage module is used to forward the data verified by the data verification module to the assessment analysis subsystem for data storage.

[0017] In some optional implementation manners of some embodiments, the DIP grouping management subsystem includes a grouped data acquisition module, a grouper construction module, a grouper release module, a grouper deployment module, and a grouping module;

[0018] The grouped data acquisition module is used to obtain the relevant red-headed documents, DIP disease catalogs, or DIP disease score tables for payment by disease score issued by the local medical insurance bureau of the hospital;

[0019] The grouper construction module is used to interpret the relevant file information, form a developed document template, import the grouping dictionary and directory library according to the document template, develop grouping rules, and debug and optimize the grouping-related code;

[0020] The grouper release module is used to release the grouper and write a grouper release instruction document;

[0021] The grouper deployment module is used to install the grouper into the production environment and test the grouping results of single cases. If the test is normal, deploy and initialize the grouper;

[0022] The grouping module is used to batch-group cases and feedback the grouped disease data.

[0023] In some optional implementation manners of some embodiments, the assessment analysis subsystem includes an assessment information acquisition module, an assessment calculation module, a score assignment module, and a score evaluation module;

[0024] The assessment information acquisition module is used to determine the assessment unit, assessment time dimension, and assessment plan. The assessment plan includes using the threshold method for assessment, calculating the maximum value, minimum value, and average value of the department assessment indicators, and then assigning scores according to different thresholds;

[0025] The assessment calculation module is used to calculate the assessment target value through historical assessment data;

[0026] The score assignment module is used to compare the calculated assessment target value with the actual indicator value to confirm the final score between different thresholds;

[0027] The score evaluation module is used to evaluate the final result according to the calculated final score.

[0028] In some alternative implementation manners of some embodiments, the assessment result application subsystem includes an assessment index selection module, a bonus allocation algorithm configuration module, and a bonus calculation and display module;

[0029] The assessment index selection module is configured to select one or more assessment indexes, and obtain a list of clinical departments and the corresponding assessment results of each clinical department from the score evaluation module according to the assessment indexes;

[0030] The bonus allocation algorithm configuration module is configured to configure a bonus allocation algorithm according to the assessment results, including a calculation formula for the minimum value of cmi of a department:

[0031]

[0032] The calculation formula for the maximum value of cmi of a department is:

[0033]

[0034] The calculation formula for the average value of cmi of a department is:

[0035]

[0036] Wherein, MIN() represents the minimum value function, MAX() represents the maximum value function, and AVG() represents the average value function, represents the number of cases of the i-th department in the whole hospital during the statistical time period, represents the weight of the n-th case of the i-th department during this time period. The scoring rules are set as follows: cmi selects the minimum value, the maximum value, and the average value as the scoring conditions. Those less than the minimum value get no score; those greater than or equal to the minimum value and less than the average value get 60%; those greater than or equal to the average value and less than the maximum value get 100%; those greater than or equal to the maximum value get an additional 10% score;

[0037] The bonus calculation and display module is configured to obtain the total theoretical bonus value at the level of clinical departments in the whole hospital. Among them, the bonus allocation formula is: the bonus value of a certain department = the assessment result of the department * (the total theoretical bonus value at the level of clinical departments in the whole hospital / the sum of the assessment results of all departments). The bonus values of each clinical department are displayed in the system according to the calculation results.

[0038] In some alternative implementation manners of some embodiments, the assessment result analysis subsystem includes a department index selection module and a department index analysis module;

[0039] The department index selection module is configured to select the CMI value, the time consumption index, and the cost consumption index in the index list as monitoring indexes for preliminary calculation:

[0040] The calculation formula of the CMI value:

[0041]

[0042] Among them, cmi is the cmi value within the statistical time period, is the number of cases admitted by the department during this time period, is the weight of the nth case in the department during this time period;

[0043] Calculation formula of time consumption index:

[0044]

[0045] Among them, m is the number of cases in the department within the statistical time period, is the length of stay of the ith case in the department during this time period, is the benchmark value of the average length of stay of the grouping result of the ith case in the department during this time period;

[0046] Calculation formula of cost consumption index:

[0047]

[0048] Among them, m is the number of cases in the department within the statistical time period, is the total cost of the ith case in the department during this time period, is the benchmark value of the average cost per case of the grouping result of the ith case in the department during this time period;

[0049] The department index analysis module is used to select management benchmark values according to the time period, perform benchmark calculations on the preliminarily calculated results according to the management benchmark values to obtain weight benchmarks, time consumption index benchmarks and cost consumption index benchmarks, and analyze comparison values and growth rates according to the benchmark calculation results;

[0050] Among them, the calculation of the weight benchmark includes:

[0051]

[0052] Among them, represents the regionally weighted average cost per case value, m is the number of cases in the previous year, is the total cost of the nth case in the previous year; where j is the number of cases in the year before last, is the total cost of the ith case in the year before last; where s is the number of cases in the year before the year before last, is the total cost of the rth case in the year before the year before last, and calculate the weighted average cost per case avgFeeDIPW of each DIP disease type:

[0053]

[0054] Among them, c is the number of cases of this DIP disease type in the previous year, is the total cost of the b-th case of the DIP disease in the previous year; where e is the number of cases of the DIP disease in the year before last, is the total cost of the d-th case of the DIP disease in the year before last; where g is the number of cases of the DIP disease in the year before the year before last, is the total cost of the f-th case of the DIP disease in the year before the year before last, and use avgFeeW and avgFeeDIPW to calculate the benchmark weight weightDIP of the DIP disease:

[0055]

[0056] The calculation of the time consumption index benchmark includes:

[0057] The time consumption index benchmark is calculated by weighting the average length of stay of the DIP disease and the length of stay of the case with the number of cases admitted for the DIP disease. The calculation formula of the time consumption index:

[0058]

[0059] Among them, D is the time consumption index within the statistical time period, is the number of DIP diseases within this time period, is the average length of stay of the analyzed cases of the th DIP disease within this time period, average length of stay of all patients within the region of the th DIP disease within this time period, is the number of cases of the

[0060] The calculation of the cost consumption index benchmark includes:

[0061] The cost consumption index benchmark is calculated by weighting the average cost per case of the DIP disease and the total cost of the case with the number of cases admitted for the DIP disease. The calculation formula of the cost consumption index:

[0062]

[0063] Among them, E is the cost consumption index within the statistical time period, is the average cost per case among the cases of the th DIP disease within this time period, average cost per case of all patients within the region of the th DIP disease within this time period, is the number of cases of the

[0064] In some optional implementations of some embodiments, the comparison value includes a current period value, a same period value, a previous period value and a benchmark value, the current period value includes the CMI value, time consumption index and cost consumption index of each clinical department in the selected time period, the same period value is the CMI value of each clinical department in the same period of the previous year of the selected time period, the previous period value is the CMI value of each clinical department in the previous statistical cycle time period of the selected time period, and the benchmark value is the management benchmark value maintained by the hospital in the selected time period;

[0065] The growth rate includes year-on-year growth rate, month-on-month growth rate and benchmark ratio growth rate, among which, year-on-year growth rate = (current period value - same period value) / same period value * 100%, month-on-month growth rate = (current period value - previous period value) / previous period value * 100%, benchmark ratio growth rate = (current period value - benchmark value) / benchmark value * 100%.

[0066] In the second aspect, the present application proposes a performance evaluation method based on DIP, comprising the following steps:

[0067] Pre-process the data required for DIP performance evaluation and assessment, and automatically track data processing errors during data pre-processing and send platform operation logs to remind business administrators;

[0068] Construct a grouper based on local structured grouping rules and disease catalog library, group case data required by the DIP performance evaluation system, and provide feedback on disease data;

[0069] Determine the assessment unit, assessment time dimension and assessment plan, conduct score analysis based on the determined information, and obtain the assessment analysis results;

[0070] A bonus distribution algorithm is set based on the assessment analysis results, and bonuses are distributed to each clinical department and clinical doctors at all levels within the clinical department according to the bonus distribution algorithm;

[0071] Based on the grouping results of the DIP grouping management subsystem, the assessment analysis results of the assessment analysis subsystem and the application results of the assessment result application subsystem, a horizontal comparative analysis is conducted on the assessment indicators of the entire hospital, each clinical department, clinical doctors at all levels in clinical departments, and DIP diseases, as well as a vertical change analysis of the year-on-year comparison of the current period value with the same period value, the month-on-month comparison of the current period value with the previous period value, and the benchmark ratio of the current period value to the benchmark value, and performance evaluation is completed based on each analysis result.

[0072] In a third aspect, the present application proposes an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above method when executing the computer program.

[0073] Fourth aspect, the present application proposes a computer-readable storage medium storing a computer program, which when executed by a processor implements the steps of the above method.

[0074] Advantages of the present invention:

[0075] From the three levels of production capacity, efficiency, and safety, a mathematical model for medical quality monitoring based on DIP is established. The task dimension realizes four-level drilling from the department group - department - ward - physician, and the time dimension realizes weekly monitoring, monthly monitoring, quarterly monitoring, and annual monitoring. A disease management system driven by DIP is established, and the existing bonus distribution and physician promotion systems are reformed by integrating in-hospital indicators. The medical staff are evaluated from multiple aspects such as data quality, service efficiency, service capacity, and medical behavior. The evaluation results are combined with clinical practice to enhance the enthusiasm of medical staff, and the refined management of the internal medical service performance and medical quality of the hospital is realized. Description of the drawings

[0076] Figure 1 It is the system module diagram of the present invention.

[0077] Figure 2 It is the flowchart of the present invention. Detailed implementation manners

[0078] The exemplary embodiments of the present disclosure will be described in more detail below with reference to the drawings. Although the exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein; on the contrary, these embodiments are provided so that the present disclosure can be more thoroughly understood and the scope of the present disclosure can be completely conveyed to those skilled in the art.

[0079] Term explanation:

[0080] Diagnosis-Intervention Packet (DIP):

[0081] It is a complete management system established by leveraging the advantages of big data, which discovers the common characteristics of "disease diagnosis + treatment method" to objectively classify medical record data. In the full-sample case data within a certain regional scope, a standardized positioning of each disease and treatment method combination is formed, objectively reflecting the disease severity, treatment complexity, resource consumption level, and clinical behavior norms, and can be applied to fields such as medical insurance payment, fund supervision, and hospital management.

[0082] Medical security fund settlement list:

[0083] The medical security fund settlement list is a data list that designated medical institutions need to submit when applying for cost settlement to the medical insurance department after providing medical services such as inpatient and outpatient chronic and special diseases. It is a unified settlement voucher between medical institutions and the medical insurance department. The basic data required for DIP is multi-dimensional information (including the main diagnosis of the disease, the degree of resource consumption, the severity of the condition, and the medical status, etc.). Considering the accuracy and availability of the data, the data for each dimension comes from the medical security fund settlement list when the insured person is discharged from the hospital.

[0084] Medical record front page:

[0085] The inpatient medical record front page is the main basis for the hospital to register inpatient medical records, classify diseases, and conduct reviews, etc. It mainly includes the filling and selection of the main diagnosis and auxiliary diagnosis, the filling of surgeries and operations, etc. It is the main source of data indicators such as the diagnosis and treatment information in the medical insurance settlement list.

[0086] DIP catalog library:

[0087] The DIP catalog library (DIP Grouping Database) is a basic application system that determines stable groups and incorporates them into unified catalog management based on the exhaustion and clustering of disease diagnosis and treatment method combinations, supporting the normalization of grouping applications.

[0088] CMI:

[0089] The case-mix index (CMI), that is, the case-mix index, is a key indicator in the DIP medical quality dimension. The higher the value, the higher the difficulty coefficient of medical services. It is internationally recognized as representing the technical difficulty of the hospital's diagnosed cases and the ability to admit difficult and severe cases. Therefore, the level of CMI can measure the level of a hospital's ability to admit difficult and critical cases.

[0090] Time consumption index:

[0091] The time consumption index reflects the time efficiency of treating the same type of disease. The smaller the time consumption index, the higher the efficiency of treating the same type of disease.

[0092] On the first hand, the present application proposes a performance evaluation and assessment system based on DIP, as Figure 1 shown, including a data collection subsystem based on the data of the medical record front page and the medical insurance settlement list, a DIP grouping management subsystem embedded with a DIP disease grouping model, an assessment analysis subsystem for assessing based on different DIP disease groupings, an assessment result application subsystem for bonus distribution based on the assessment analysis results, and an assessment result analysis subsystem for evaluating based on the comprehensive data of the whole hospital;

[0093] The data acquisition subsystem is used to preprocess the data required for DIP performance evaluation and assessment, and automatically track data processing errors and send platform operation logs to remind the business administrator during the data preprocessing process;

[0094] In some optional implementation manners of some embodiments, the data acquisition subsystem includes an interface configuration module, a data timing extraction module, a data verification module, and a data storage module;

[0095] The interface configuration module is used to provide corresponding web interfaces according to the data interface scheme required by the DIP performance evaluation and assessment system, and configure the corresponding interface access information; the data timing extraction module is used to set the automatic acquisition time point and batch extract data according to the settlement time period of the automatic acquisition time point;

[0096] The data verification module is used to view the data parsing logs in the extraction time period, verify and check data problems, sort out data problems, modify interface problems or filter problem data, and verify the data accuracy.

[0097] The data storage module is used to forward the data verified by the data verification module to the assessment analysis subsystem for data storage.

[0098] Among them, the present invention provides a data acquisition subsystem based on the data of the medical record homepage and the medical insurance settlement list, which is used to collect, verify, and clean the data required for DIP performance evaluation and assessment, and automatically track data processing errors and send platform operation logs to remind the business administrator during the data acquisition process, ensuring stable and accurate data transmission. Further, the specific operation process of the subsystem is as follows:

[0099] Configure data interface information through the interface configuration module:

[0100] Combined with the data interface scheme required by the DIP performance evaluation and assessment system, provide corresponding web interfaces, configure complete interface access information in the data acquisition system, test whether the data can be extracted, and track and view the data extraction logs.

[0101] Extract data through the data timing extraction module, including setting the automatic acquisition time point to perform task extraction regularly, incrementally synchronize data, and batch extract data according to the settlement time period.

[0102] Apply the data verification module to view the data parsing logs in the extraction time period, classify and verify data problems, sort out data problems, modify interface problems / filter problem data, and verify the data accuracy.

[0103] Finally, forward the data through the data storage module, and forward the data to the assessment analysis subsystem for data storage.

[0104] The DIP grouping management subsystem is used to construct a grouper according to local structured grouping rules and a disease catalog library, group the case data required by the DIP performance evaluation and assessment system, and feedback disease data;

[0105] In some optional implementation manners of some embodiments, the DIP grouping management subsystem includes a grouping data acquisition module, a grouper construction module, a grouper release module, a grouper deployment module, and a grouping module;

[0106] The grouping data acquisition module is used to obtain relevant official documents on disease score payment, the DIP disease catalog, or the DIP disease score table issued by the local medical insurance bureau of the hospital;

[0107] The grouper construction module is used to interpret relevant file information, form a developed document template, import a grouping dictionary and a catalog library according to the document template, develop grouping rules, and debug and optimize grouping-related code;

[0108] The grouper release module is used to release the grouper and write a grouper release instruction document;

[0109] The grouper deployment module is used to install the grouper into the production environment and test the grouping result of a single case. If the test is normal, deploy and initialize the grouper;

[0110] The grouping module is used to batch-group cases and feedback grouped disease data.

[0111] Among them, the specific implementation steps of the DIP grouping management subsystem are as follows:

[0112] Determine whether the DIP disease catalog library and relevant official documents have been released in the project cities and regions where the grouper needs to be developed.

[0113] Sort out the DIP catalog, including the main catalog and the auxiliary catalog. The main catalog includes core diseases, comprehensive diseases, primary diseases, etc. The auxiliary catalog includes four categories: CCI index, disease severity, tumor severity, and age characteristics, as well as grouping rules.

[0114] Sort out the grouping results of the cases fed back by the hospital medical insurance bureau.

[0115] After sorting out the relevant materials for grouping development, develop the grouper.

[0116] The development of the main catalog is to obtain the main diagnosis, other diagnoses, and surgical operations of the cases, and use big data to explore the common characteristics of "disease diagnosis + treatment method" to objectively classify the medical record data, and determine the standardized positioning of each disease and treatment method combination in the full-sample case data within a certain regional scope. The specific content is as follows:

[0117] The grouper incorporates grouping rule dictionaries such as surgical operation types, surgical operation levels, surgical operation exclusion lists, and surgical operation equivalence tables, and establishes a grouping model. The content of the grouping model is configurable and can be adjusted according to the actual situation of the city. The content includes:

[0118] ① The grouping priority of disease types: the priority is traditional Chinese medicine (TCM) dominant diseases > length-of-stay diseases, day-case diseases > core diseases, primary care diseases > comprehensive diseases.

[0119] ② Preferential grouping according to the main surgery

[0120] ③ Diseases with higher scores in the same disease type are preferentially grouped

[0121] ④ Diseases with more surgical operations in core diseases are preferentially grouped

[0122] ⑤ The grouping priority of surgical operation types: related surgeries > therapeutic operations > diagnostic operations > conservative treatments

[0123] ⑥ The grouping priority of surgical operation levels: level-IV surgeries > level-III surgeries > level-II surgeries > level-I surgeries > some unclassified surgical operations

[0124] ⑦ Cases with surgical operations can be grouped into the conservative treatment group

[0125] ⑧ When the main diagnosis and surgical operation meet multiple disease types, preferentially group into the disease type where the total case cost is close to the benchmark average cost per case of the disease. If the absolute value of the difference between the total cost and the average costs per case of multiple disease types is the same, then group into the disease type with a higher score.

[0126] Grouping descriptions for each type of disease:

[0127] Grouping of core / primary care / comprehensive diseases: Obtain the main diagnosis, other diagnoses, and surgical operations of the case, and traverse the core / primary care / comprehensive disease catalogs in combination with big data technology, the grouping model, and the grouping rule dictionary to find the corresponding diseases.

[0128] Grouping of TCM dominant diseases: Obtain the main diagnosis, main TCM diseases, other diagnoses, and surgical operations of the case, calculate the proportion of TCM treatment costs in the case, and traverse the TCM dominant disease catalogs in combination with big data technology, the grouping model, and the grouping rule dictionary to find the eligible diseases and the proportion of TCM treatment costs reaches the corresponding ratio.

[0129] Grouping of length-of-stay / day-case diseases: Obtain the main diagnosis, other diagnoses, surgical operations, and length of hospital stay of the case, and traverse the length-of-stay / day-case disease catalogs in combination with big data technology, the grouping model, and the grouping rule dictionary to find the eligible diseases and the length of hospital stay meets the requirements.

[0130] The development of the auxiliary catalog is to obtain information such as the diagnosis, age, and discharge method of cases. Based on the common characteristics of the disease groupings in the main catalog, it reflects the individual characteristics of disease severity and the supervision of violations, corrects the payment costs of the grading catalog, and promotes the accurate budgeting, refined management, and precise payment of medical expenses. The specific content is as follows:

[0131] The grouper incorporates grouping rule dictionaries such as MCC, CC, and CC exclusion tables, auxiliary catalog types, auxiliary catalog dictionaries, and auxiliary catalog grouping rules. After the case main catalog grouping is completed, the diseases with auxiliary catalogs are further grouped. Information such as the diagnosis, age, and discharge method of the cases is obtained, and grouping is carried out in combination with big data technology and the grouping rule dictionary and assigned to the corresponding auxiliary catalog.

[0132] After the grouper is developed and released, the case grouping results feedback by the medical insurance bureau are compared with the grouping results of the developed grouper. The reasons for the inconsistent groupings of the cases are found, and the grouping rules are adjusted to improve the consistency between the grouper and the medical insurance bureau's grouper rules.

[0133] After the grouper rules are determined, they are deployed for hospitals to use. During the use of the grouper, if the medical insurance bureau's grouper is iteratively updated, this grouper can be updated synchronously.

[0134] The said assessment and analysis subsystem is used to determine the assessment unit, assessment time dimension, and assessment plan, and conduct score analysis based on the determined information to obtain the assessment and analysis results;

[0135] In some optional implementation manners of some embodiments, the assessment and analysis subsystem includes an assessment information acquisition module, an assessment calculation module, a score assignment module, and a score evaluation module;

[0136] The assessment information acquisition module is used to determine the assessment unit, assessment time dimension, and assessment plan. The assessment plan includes using the threshold method for assessment, calculating the maximum value, minimum value, and average value of the department assessment indicators, and then assigning scores according to different thresholds;

[0137] The assessment calculation module is used to calculate the assessment target value through historical assessment data;

[0138] The score assignment module is used to compare the calculated assessment target value with the actual indicator value to confirm the final score between different thresholds;

[0139] The score evaluation module is used to conduct a final result evaluation based on the calculated final score.

[0140] Among them, the specific execution steps of the assessment and analysis subsystem are as follows:

[0141] Determine the assessment unit and conduct assessments on a department basis;

[0142] Determine the time dimension of the assessment and make sure to conduct monthly assessment;

[0143] Determine the assessment plan and finalize the threshold method to calculate the maximum, minimum and average values ​​of department indicators for threshold assessment;

[0144] The scoring scheme is determined, which stipulates that when the department's CMI is less than the minimum value, no points will be awarded; when the department's CMI is greater than the minimum value and less than the average value, 6 points will be awarded; when the department's CMI is greater than the average value and less than the maximum value, 8 points will be awarded; when the department's CMI is greater than or equal to the maximum value, 9 points will be awarded, and for every 10% increase in the CMI value above the maximum value, 0.2 points will be awarded, and the highest score is 11 points.

[0145] Calculate the assessment target value, and calculate the minimum, maximum, and average values ​​of the department's CMI index based on the department's data over the past two years; taking the endocrinology department of a certain hospital as an example, the minimum target value of the department over the past two years is calculated to be 0.74, the maximum value is 0.86, and the average value is 0.81;

[0146] Calculate the CMI value for the endocrinology department for that month and you get 0.85;

[0147] Calculate the department score. According to the above two steps, the department score is 8 points;

[0148] The final scores of each department will be made public, and departments with poor scores will be interviewed.

[0149] The assessment result application subsystem is used to set a bonus distribution algorithm based on the assessment analysis results, and distribute bonuses to each clinical department and clinical doctors at all levels in the clinical department according to the bonus distribution algorithm;

[0150] In some optional implementations of some embodiments, the assessment result application subsystem includes an assessment indicator selection module, a bonus distribution algorithm configuration module, and a bonus calculation and display module;

[0151] The assessment indicator selection module is used to select one or more assessment indicators, and obtain a list of clinical departments and the assessment results corresponding to each clinical department from the score evaluation module according to the assessment indicators;

[0152] The bonus distribution algorithm configuration module is used to configure the bonus distribution algorithm according to the assessment results, including the department's cmi minimum value calculation formula:

[0153]

[0154] The formula for calculating the maximum value of the department's cmi is:

[0155]

[0156] The formula for calculating the average CMI value of a department is as follows:

[0157]

[0158] Among them, MIN() represents the minimum value function, MAX() represents the maximum value function, and AVG() represents the average value function. represents the number of cases in the i-th department of the whole hospital within the statistical time period. represents the weight of the n-th case in the i-th department during this time period. The scoring rules are set as follows: CMI selects the minimum value, the maximum value, and the average value as the scoring conditions. Those less than the minimum value get no score; those greater than or equal to the minimum value and less than the average value get 60%; those greater than or equal to the average value and less than the maximum value get 100%; those greater than or equal to the maximum value get an additional 10% score.

[0159] The bonus calculation and display module is used to obtain the total theoretical bonus value at the clinical department level of the whole hospital. Among them, the bonus distribution formula is: the bonus value of a certain department = the assessment result of this department * (the total theoretical bonus value at the clinical department level of the whole hospital / the sum of the assessment results of all departments). The bonus values of each clinical department are displayed in the system according to the calculation results.

[0160] The embodiment includes the following steps:

[0161] Obtain the performance evaluation and assessment results of each clinical department through the assessment index selection module;

[0162] Among them, multiple assessment indicators can be selected. Taking the selection of the CMI value of the assessment indicator as an example, the list of clinical departments and the CMI index assessment results of each clinical department within a certain assessment time period are obtained. Further,

[0163] To help the hospital clarify its thinking and start the assessment as soon as possible, this embodiment provides a set of assessment rules for the hospital to use for reference;

[0164] The specific rules are as follows: Taking the department as a unit, select the department's profit and loss, CMI, time consumption index, and low-risk mortality rate. The profit and loss indicator is the basic indicator for the department's performance evaluation and assessment. The assessment of the indicator requires formulating corresponding assessment rules.

[0165] First, it is necessary to formulate the assessment target value and assessment scoring rules for each indicator of each department. According to the calculated department indicators and combined with the assessment scoring rules, calculate the assessment scores of each department and confirm the assessment and evaluation situation.

[0166] It is necessary to calculate the CMI indicator of each department every month within 2 years, calculate the maximum and minimum values of the department's CMI indicator from it, and then calculate the CMI value of the department using the number of in-group cases cnt of the department and the weight of each patient, so as to obtain 3 threshold data of the CMI value of the department to be assessed.

[0167] The time consumption index is calculated by dividing the patient's length of stay by the benchmark average length of stay for the disease type. Therefore, the value itself can reflect whether the length of stay exceeds the standard, so the value directly uses 1 as the assessment target value.

[0168] The low-risk indicator reflects the medical quality. This indicator is a negative indicator, that is, a deduction indicator. It gets full marks when there are no low-risk death cases, and one case is deducted the corresponding score for each occurrence.

[0169] According to the set assessment scoring mechanism, after calculating the assessment benchmark values of different indicators for each department, combined with the actual situation of each department's monthly indicators, calculate the score of each indicator for each department, and summarize it into the total score.

[0170] According to the total scores of each department, conduct department assessment rankings. An example of the ranking scores is shown in Table 1:

[0171] Table 1

[0172]

[0173] Set the department bonus distribution algorithm;

[0174] Set the mathematical formula of the indicator algorithm is the number of cases in the i-th department of the whole hospital within the statistical time period, is the weight of the n-th case in the i-th department within this time period. Then the calculation formula for the minimum value of the cmi of the department is:

[0175]

[0176] The calculation formula for the maximum value of the cmi of the department is:

[0177]

[0178] The calculation formula for the average value of the cmi of the department is:

[0179]

[0180] Among them, MIN() represents the minimum value function, MAX() represents the maximum value function, AVG() represents the average value function. Set the scoring rules: cmi selects the minimum value, maximum value, and average value as the scoring conditions. Those less than the minimum value get no score; those greater than or equal to the minimum value and less than the average value get 60%; those greater than or equal to the average value and less than the maximum value get 100%; those greater than or equal to the maximum value get a 10% bonus;

[0181] The bonus allocation algorithm is not fixed and can be set according to the needs of the hospital. In this embodiment, the bonus allocation algorithm set by the bonus calculation and display module is: the bonus value of a department = the assessment result of the department * (the total theoretical bonus value at the clinical department level of the whole hospital / the sum of the assessment results of all departments);

[0182] The bonus values ​​for each clinical department were calculated as shown in Table 2;

[0183] Table 2

[0184]

[0185] Furthermore, to obtain the total theoretical bonus value at the clinical department level of the whole hospital, the system supports two methods: real-time calculation and system page maintenance to obtain the total theoretical bonus value at the clinical department level of the whole hospital. The system displays the bonus value of each clinical department and supports result query according to different assessment time periods.

[0186] Among them, the assessment result application subsystem sets up a bonus distribution algorithm for the assessment results of each clinical department, calculates the bonus value that each clinical department should obtain, and can also set up a secondary bonus distribution plan for each department based on the assessment results of each clinical physician in each department, and calculate the bonus value that each clinical physician should obtain. Furthermore, a physician promotion evaluation plan can be set up for the assessment results of each clinical physician in each department, and the result of whether the physician applying for promotion has passed the assessment can be given. The bonus distribution algorithm supports custom configuration, including bonus distribution cycle, indicators participating in bonus distribution, and bonus distribution indicator algorithm configuration. The system calculates the bonus value for each department according to the configured algorithm.

[0187] The assessment result analysis subsystem is used to conduct horizontal comparative analysis of the assessment indicators of the entire hospital, various clinical departments, clinical doctors at all levels in clinical departments, and DIP diseases based on the grouping results of the DIP grouping management subsystem, the assessment analysis results of the assessment analysis subsystem, and the application results of the assessment result application subsystem, as well as vertical change analysis of the year-on-year comparison of the current period value with the same period value, the month-on-month comparison of the current period value with the previous period value, and the benchmark ratio of the current period value to the benchmark value, and complete performance evaluation according to each analysis result.

[0188] In some optional implementations of some embodiments, the assessment result analysis subsystem includes a department indicator selection module and a department indicator analysis module;

[0189] The department indicator selection module is used to select the CMI value, time consumption index and cost consumption index in the indicator list as monitoring indicators for preliminary calculation:

[0190] The calculation formula of CMI value is:

[0191]

[0192] where cmi is the cmi value within the statistical time period, is the number of cases admitted by the department during this time period, is the weight of the nth case in the department during this time period;

[0193] Calculation formula for the time consumption index:

[0194]

[0195] where m is the number of cases in the department within the statistical time period, is the length of hospital stay of the ith case in the department during this time period, is the benchmark value of the average length of hospital stay of the grouping results of the ith case in the department during this time period;

[0196] Calculation formula for the cost consumption index:

[0197]

[0198] where m is the number of cases in the department within the statistical time period, is the total cost of the ith case in the department during this time period, is the benchmark value of the average cost per case of the grouping results of the ith case in the department during this time period;

[0199] The department index analysis module is used to select management benchmark values according to the time period, perform benchmark calculations on the initially calculated results according to the management benchmark values to obtain weight benchmarks, time consumption index benchmarks, and cost consumption index benchmarks, and analyze the comparison values and growth rates according to the benchmark calculation results;

[0200] Among them, the calculation of the weight benchmark includes:

[0201]

[0202] Among them, represents the regionally weighted average cost per case value, m is the number of cases in the previous year, is the total cost of the nth case in the previous year; where j is the number of cases in the year before last, is the total cost of the ith case in the year before last; where s is the number of cases in the year before the year before last, is the total cost of the rth case in the year before the year before last, and calculate the weighted average cost per case avgFeeDIPW of each DIP disease type:

[0203]

[0204] where c is the number of cases of this DIP disease type in the previous year, is the total cost of the bth case of this DIP disease type in the previous year; where e is the number of cases of this DIP disease type in the year before last, is the total cost of the d-th case of the DIP disease type in the previous two years; where g is the number of cases of the DIP disease type in the previous three years, is the total cost of the f-th case of the DIP disease type in the previous three years, and the benchmark weight weightDIP of the DIP disease type is calculated using avgFeeW and avgFeeDIPW:

[0205]

[0206] The calculation of the time consumption index benchmark includes:

[0207] The time consumption index benchmark is calculated by weighting the average length of stay of the DIP disease type and the length of stay of the case with the number of cases admitted for the DIP disease type. The calculation formula for the time consumption index:

[0208]

[0209] Among them, D is the time consumption index within the statistical time period, is the number of DIP disease types within this time period, is the average length of stay of the analyzed cases of the i-th DIP disease type within this time period, is the average length of stay of all patients within the region of the i-th DIP disease type within this time period, is the number of cases of the i-th DIP disease type within this time period;

[0210] The calculation of the cost consumption index benchmark includes:

[0211] The cost consumption index benchmark is calculated by weighting the average cost per case of the DIP disease type and the total cost of the case with the number of cases admitted for the DIP disease type. The calculation formula for the cost consumption index:

[0212]

[0213] Among them, E is the cost consumption index within the statistical time period, is the average cost per case among the cases of the i-th DIP disease type, is the average cost per case of all patients within the region of the i-th DIP disease type, is the number of cases of the i-th DIP disease type.

[0214] In some alternative implementations of some embodiments, the comparison values include the current period value, the same period value, the previous period value, and the benchmark value. The current period value includes the CMI value, the time consumption index, and the cost consumption index of each clinical department in the selected time period. The same period value is the CMI value of each clinical department in the same time period of the previous year of the selected time period. The previous period value is the CMI value of each clinical department in the previous statistical cycle time period of the selected time period. The benchmark value is the management benchmark value maintained by the hospital in the selected time period.

[0215] The growth rates include the year-on-year growth rate, the month-on-month growth rate, and the benchmark ratio growth rate. Among them, the year-on-year growth rate = (current period value - same period value) / same period value * 100%, the month-on-month growth rate = (current period value - previous period value) / previous period value * 100%, and the benchmark ratio growth rate = (current period value - benchmark value) / benchmark value * 100%.

[0216] Among them, the CMI value, the time consumption index, and the cost consumption index in the system index list are selected as the monitoring indicators. A certain time period, such as June 1, 2022 - June 30, 2022, is selected as the analysis condition to calculate the current period value, the same period value, the previous period value, and the benchmark value of each clinical department, and then calculate the year-on-year growth rate, the month-on-month growth rate, and the benchmark ratio growth rate of each clinical department for this indicator.

[0217] Calculation formula of CMI value:

[0218]

[0219] Where cmi is the cmi value within the statistical time period, is the number of cases admitted by the department within this time period, is the weight of the nth case in the department within this time period;

[0220] Calculation formula of time consumption index:

[0221]

[0222] Where m is the number of cases in the department within the statistical time period, is the length of stay of the ith case in the department within this time period, is the average length of stay benchmark value of the grouping result of the ith case in the department within this time period;

[0223] Calculation formula of cost consumption index:

[0224]

[0225] Where m is the number of cases in the department within the statistical time period, is the total cost of the ith case in the department within this time period, It is the benchmark value of the average cost per case grouping result of the i-th case in the department during this time period;

[0226] The department index analysis module is used to select the management benchmark value according to the time period, perform benchmark calculation on the preliminarily calculated result according to the management benchmark value to obtain the weight benchmark, time consumption index benchmark and cost consumption index benchmark, and analyze the comparison value and growth rate according to the benchmark calculation result;

[0227] Among them, the calculation of the weight benchmark includes:

[0228]

[0229] Among them, represents the regional weighted average cost value, m is the number of cases in the previous year, is the total cost of the n-th case in the previous year; where j is the number of cases in the year before last, is the total cost of the i-th case in the year before last; where s is the number of cases in the year before the year before last, is the total cost of the r-th case in the year before the year before last, and calculate the weighted average cost avgFeeDIPW of each DIP disease type:

[0230]

[0231] Among them, c is the number of cases of this DIP disease type in the previous year, is the total cost of the b-th case of this DIP disease type in the previous year; where e is the number of cases of this DIP disease type in the year before last, is the total cost of the d-th case of this DIP disease type in the year before last; where g is the number of cases of this DIP disease type in the year before the year before last, is the total cost of the f-th case of this DIP disease type in the year before the year before last, and use avgFeeW and avgFeeDIPW to calculate the DIP disease type benchmark weight weightDIP:

[0232]

[0233] The calculation of the time consumption index benchmark includes:

[0234] The time consumption index benchmark is calculated by weighting the average length of stay of the DIP disease type and the length of stay of the case with the number of cases admitted to the DIP disease type. The calculation formula of the time consumption index:

[0235]

[0236] Among them, D is the time consumption index within the statistical time period, is the number of DIP disease types within this time period, is the average length of stay of the -th DIP disease type analysis case within this time period, is the average length of stay of all patients within the specified time period in the th DIP disease category area, is the th number of cases of the DIP disease category within the specified time period;

[0237] The calculation of the cost consumption index benchmark includes:

[0238] The cost consumption index benchmark is calculated by weighting the average cost per case and the total cost of cases of the DIP disease category by the number of cases admitted for the DIP disease category. The formula for the cost consumption index is:

[0239]

[0240] where E is the cost consumption index within the statistical time period, is the average cost per case of the th DIP disease category within the specified time period, is the average cost per case of all patients within the th DIP disease category area within the specified time period, is the th number of cases of the DIP disease category within the specified time period;

[0241] Ratio growth rate = (Current period value - Same period value) / Same period value * 100%;

[0242] Month-on-month growth rate = (Current period value - Previous period value) / Previous period value * 100%;

[0243] Benchmark ratio growth rate = (Current period value - Benchmark value) / Benchmark value * 100%;

[0244] Trend analysis specifically refers to the change of the indicator value under the selected analysis object, time period, indicator, and time dimension type, where the time dimension type includes monthly, quarterly, and annual.

[0245] The indicators monitored by this subsystem are configurable. Select one or more monitoring indicators from the system's indicator list; it is possible to conduct difference comparisons between different comparison objects for the same indicator, and the comparison content includes the current period value, same period value, benchmark value, and their changes; it is possible to analyze the change trend of the indicator; it is also possible to conduct comparisons between different comparison objects for multiple indicators.

[0246] Furthermore, a horizontal comparison between different departments with the same assessment indicators and a vertical comparison between different comparison types of the same department and a trend analysis are conducted for each clinical department, where the comparison types include year-on-year, month-on-month and benchmark ratios. A horizontal comparison between different DIP diseases with the same assessment indicators and a vertical comparison of different comparison types of the same DIP disease are conducted for each DIP disease type, as well as a department and physician distribution and trend analysis. The monitored indicators are configurable, and one or more monitoring indicators can be selected from the system's indicator list; the current period value, the same period value, the benchmark value and their changes can be monitored for each indicator; the difference between different departments for the same indicator can be compared, and the comparison content includes the current period value, the same period value, the benchmark value and their changes; the indicator change trend can be analyzed; multiple indicators can be compared between different departments, and the current period value, the same period value, the benchmark value and their changes can be monitored for each indicator; the diagnosis and treatment differences of the same disease between different departments and physicians can be viewed; and the indicator change trend can also be viewed.

[0247] In the second aspect, this application proposes a performance evaluation method based on DIP, such as Figure 2 As shown, the following steps are included:

[0248] S100: Preprocess the data required for DIP performance evaluation and assessment, and automatically track data processing errors during data preprocessing and send platform operation logs to remind business administrators;

[0249] S200: Construct a grouper based on local structured grouping rules and disease catalog library, group case data required by the DIP performance evaluation system, and feedback disease data;

[0250] S300: Determine the assessment unit, assessment time dimension and assessment plan, perform score analysis based on the determined information, and obtain the assessment analysis result;

[0251] S400: Setting a bonus distribution algorithm based on the assessment analysis results, and distributing bonuses to each clinical department and clinical doctors at each level within the clinical department according to the bonus distribution algorithm;

[0252] S500: Based on the grouping results of the DIP grouping management subsystem, the assessment analysis results of the assessment analysis subsystem and the application results of the assessment result application subsystem, a horizontal comparative analysis is conducted on the assessment indicators of the entire hospital, various clinical departments, clinical doctors at all levels in clinical departments, and DIP diseases, and a vertical change analysis is conducted on the year-on-year comparison of the current period value with the same period value, the month-on-month comparison of the current period value with the previous period value, and the benchmark ratio of the current period value to the benchmark value, and performance evaluation is completed based on each analysis result.

[0253] In a third aspect, the present application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the above method are implemented.

[0254] In a fourth aspect, the present application provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the above method.

[0255] The above are only the preferred embodiments of the present invention. It should be noted that, without departing from the technical solution of the present invention, several modified and improved technical solutions made by those skilled in the art should also be regarded as falling within the scope of protection required by the present invention.

Claims

1. A performance evaluation and assessment system based on DIP, characterized by: It includes a data collection subsystem based on the medical record homepage and medical insurance settlement list data, a DIP grouping management subsystem embedded with the DIP disease grouping model, an assessment analysis subsystem for assessment based on different DIP disease groupings, an assessment result application subsystem for bonus distribution based on the assessment analysis results, and an assessment result analysis subsystem for evaluation based on comprehensive data of the entire hospital; The data collection subsystem is used to pre-process the data required for DIP performance evaluation and assessment, and automatically track data processing errors during data pre-processing and send platform operation logs to remind business administrators; The DIP grouping management subsystem is used to construct a grouper according to local structured grouping rules and disease catalog library, group case data required by the DIP performance evaluation and assessment system, and feedback disease data; The assessment analysis subsystem is used to determine the assessment unit, assessment time dimension and assessment plan, perform score analysis based on the determined information, and obtain the assessment analysis results; The assessment result application subsystem is used to set a bonus distribution algorithm based on the assessment analysis results, and distribute bonuses to each clinical department and clinical doctors at all levels in the clinical department according to the bonus distribution algorithm; The assessment result analysis subsystem is used to conduct horizontal comparative analysis of the assessment indicators of the entire hospital, various clinical departments, clinical doctors at all levels in clinical departments, and DIP diseases based on the grouping results of the DIP grouping management subsystem, the assessment analysis results of the assessment analysis subsystem, and the application results of the assessment result application subsystem, as well as vertical change analysis of the year-on-year comparison of the current period value with the same period value, the month-on-month comparison of the current period value with the previous period value, and the benchmark ratio of the current period value to the benchmark value, and complete performance evaluation according to each analysis result.

2. The system according to claim 1, characterized in that: The data acquisition subsystem includes an interface configuration module, a data timing extraction module, a data verification module and a data storage module; The interface configuration module is used to provide a corresponding web interface according to the data interface solution required by the DIP performance evaluation and assessment system, and the corresponding configured interface access information; The data timing extraction module is used to set the automatic collection time point and batch extract data according to the settlement time period of the automatic collection time point; The data verification module is used to view the data analysis log of the extracted time period and perform data problem verification, sort out data problems, modify interface problems or filter problem data to verify data accuracy; The data storage module is used to forward the data verified by the data verification module to the assessment analysis subsystem for data storage.

3. The system according to claim 2, characterized in that: The DIP packet management subsystem includes a packet data acquisition module, a packetizer construction module, a packetizer publishing module, a packetizer deployment module and a packetization module; The group data acquisition module is used to obtain the relevant red-headed documents on payment by disease type score, DIP disease type catalog or DIP disease type score table issued by the local medical insurance bureau of the hospital; The grouper construction module is used to interpret relevant file information, form a developed document template, import a grouping dictionary and a catalog library according to the document template, develop grouping rules, and debug and optimize grouping related codes; The grouper publishing module is used to publish the grouper and write a grouper publishing description document; The grouper deployment module is used to install the grouper in the production environment and test the grouping result of a single case. If the test is normal, the grouper is deployed and initialized; The grouping module is used to group cases in batches and feed back grouped disease data.

4. The system according to claim 3, characterized in that: The assessment analysis subsystem includes an assessment information acquisition module, an assessment measurement module, a scoring module and a score evaluation module; The assessment information acquisition module is used to determine the assessment unit, assessment time dimension and assessment plan. The assessment plan includes using the threshold method to conduct assessment, calculate the maximum value, minimum value and average value of the department assessment index, and then assign points according to different thresholds; The assessment calculation module is used to calculate the assessment target value through historical assessment data; The scoring module is used to compare the calculated assessment target value with the actual indicator value to determine the final score between different thresholds; The score evaluation module is used to evaluate the final result according to the calculated final score.

5. The system according to claim 4, characterized in that: The assessment result application subsystem includes an assessment indicator selection module, a bonus distribution algorithm configuration module and a bonus calculation and display module; The assessment indicator selection module is used to select one or more assessment indicators, and obtain a list of clinical departments and the assessment results corresponding to each clinical department from the score evaluation module according to the assessment indicators; The bonus distribution algorithm configuration module is used to configure the bonus distribution algorithm according to the assessment results, including the department's cmi minimum value calculation formula: The formula for calculating the maximum value of the department's cmi is: The formula for calculating the average cmi value of a department is: Among them, MIN() represents the minimum function, MAX() represents the maximum function, and AVG() represents the average function. represents the number of cases in the i-th department of the hospital during the statistical period, Indicates the weight of the nth case in the i-th department during the time period, and sets the scoring rules: cmi selects the minimum value, maximum value, and average value as the scoring conditions. If the value is less than the minimum value, no score will be given; if the value is greater than or equal to the minimum value and less than the average value, 60% will be given; if the value is greater than or equal to the average value and less than the maximum value, 100% will be given; if the value is greater than or equal to the maximum value, 10% will be given as extra score; The bonus calculation and display module is used to obtain the total theoretical bonus value at the clinical department level of the whole hospital, where the bonus distribution formula is: the bonus value of a department = the assessment result of the department * (the total theoretical bonus value at the clinical department level of the whole hospital / the sum of the assessment results of all departments). The bonus value of each clinical department is displayed in the system based on the calculation results.

6. The system according to claim 5, characterized in that: The assessment result analysis subsystem includes a department indicator selection module and a department indicator analysis module; The department indicator selection module is used to select the CMI value, time consumption index and cost consumption index in the indicator list as monitoring indicators for preliminary calculation: The calculation formula of CMI value is: Where cmi is the cmi value within the statistical time period. is the number of cases admitted to the department during this period, is the weight of the nth case in the department during the time period; The calculation formula of time consumption index is: Where m is the number of cases in the department during the statistical period, is the number of hospitalization days of the i-th case in the department during this period, is the benchmark value of the average length of stay for the i-th case grouping result of the department within this period; The calculation formula of cost consumption index is: Where m is the number of cases in the department during the statistical period, is the total cost of the i-th case in the department during this period, The average cost benchmark value for the i-th case grouping result of the department within the time period; The department index analysis module is used to select a management benchmark value according to a time period, perform a benchmark calculation on the preliminary calculation result according to the management benchmark value, obtain a weight benchmark, a time consumption index benchmark and a cost consumption index benchmark, and analyze the comparison value and the growth rate according to the benchmark calculation result; The calculation of the weight benchmark includes: in, represents the weighted average cost per visit in the region, m is the number of cases in the previous year, is the total cost of the nth case in the previous year; j is the number of cases in the previous two years, is the total cost of the ith case in the previous two years; s is the number of cases in the previous three years, The total cost of the rth case in the previous three years is used to calculate the weighted average cost per DIP disease, avgFeeDIPW: Where c is the number of cases of this DIP disease in the previous year, is the total cost of the bth case of the DIP disease in the previous year; e is the number of cases of the DIP disease in the previous two years, is the total cost of the dth case of the DIP disease in the previous two years; g is the number of cases of the DIP disease in the previous three years, The total cost of the fth case of this DIP disease in the previous three years, using avgFeeW and avgFeeDIPW to calculate the DIP disease benchmark weight weightDIP: The calculation of the time consumption index benchmark includes: The time consumption index benchmark is calculated by weighting the average hospitalization days and hospitalization days of DIP diseases and the number of cases admitted for DIP diseases. The calculation formula of the time consumption index is: Among them, D is the time consumption index within the statistical time period, is the number of DIP diseases in this period, For the first The average length of hospital stay for DIP disease analysis cases was For the first The average length of stay for all patients in the DIP disease area is For the first Number of cases of each DIP disease type; The calculation of the cost consumption index benchmark includes: The cost consumption index benchmark is calculated by weighting the average cost per DIP disease and the total cost of each case with the number of cases treated for each DIP disease. The calculation formula for the cost consumption index is: Among them, E is the cost consumption index during the statistical period, For the first The average cost per case in each DIP disease category is For the first The average cost per visit for all patients in the DIP disease area is For the first The number of cases of DIP diseases.

7. The system according to claim 6, characterized in that: The comparison values ​​include current period values, same period values, previous period values ​​and benchmark values. The current period values ​​include the CMI values, time consumption index and cost consumption index of each clinical department in the selected time period. The same period values ​​are the CMI values ​​of each clinical department in the same period of the previous year of the selected time period. The previous period values ​​are the CMI values ​​of each clinical department in the previous statistical cycle of the selected time period. The benchmark value is the management benchmark value maintained by the hospital in the selected time period. The growth rate includes year-on-year growth rate, month-on-month growth rate and benchmark ratio growth rate, among which, year-on-year growth rate = (current period value - same period value) / same period value * 100%, month-on-month growth rate = (current period value - previous period value) / previous period value * 100%, benchmark ratio growth rate = (current period value - benchmark value) / benchmark value * 100%.

8. A performance evaluation method based on DIP, characterized by: The following steps are involved: Pre-process the data required for DIP performance evaluation and assessment, and automatically track data processing errors during data pre-processing and send platform operation logs to remind business administrators; Construct a grouper based on local structured grouping rules and disease catalog library, group case data required by the DIP performance evaluation system, and provide feedback on disease data; Determine the assessment unit, assessment time dimension and assessment plan, conduct score analysis based on the determined information, and obtain the assessment analysis results; A bonus distribution algorithm is set based on the assessment analysis results, and bonuses are distributed to each clinical department and clinical doctors at all levels within the clinical department according to the bonus distribution algorithm; Based on the grouping results of the DIP grouping management subsystem, the assessment analysis results of the assessment analysis subsystem and the application results of the assessment result application subsystem, a horizontal comparative analysis is conducted on the assessment indicators of the entire hospital, each clinical department, clinical doctors at all levels in clinical departments, and DIP diseases, as well as a vertical change analysis of the year-on-year comparison of the current period value with the same period value, the month-on-month comparison of the current period value with the previous period value, and the benchmark ratio of the current period value to the benchmark value, and performance evaluation is completed based on each analysis result.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to claim 8 are implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method according to claim 8 are implemented.

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