CN111223534B - Industry and financial fusion fine management system - Google Patents
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Abstract
The embodiment of the application relates to a fine management system for industry and financial fusion, which comprises the following components: the index setting module is configured to set corresponding indexes for the medical system and the financial system according to preset requirements; the data extraction module is configured to extract data in the medical system and the financial system according to the set index to obtain index data; the data processing module is configured to clean and process the index data to obtain processed data; the data fusion module is configured to process and summarize doctors, departments and charging data according to the original index data and the processed data, and a data center is constructed; the service module is configured to generate a data report based on the data center, and perform data analysis and query through the acquired query request to generate a query report. The application builds the data center, can know the cost conditions of the hospitals and departments for the hospital leaders and the department managers, and provides data support for adjusting management targets, making management measures and improving working efficiency of the hospitals and the departments.
Description
Technical Field
The application relates to the technical field of computers, in particular to a financial fusion refinement management system.
Background
The management goal of modern hospitals is to provide high-quality medical services for society by scientifically, reasonably and effectively using sanitary resources, so as to meet the medical demands of people. The medical treatment, scientific research, teaching and other activities of the hospital can be finally reflected to the economic activities, so that the income and expense can be increased to the maximum extent through the management activities of the hospital economy, the social and economic benefits can be improved, the management level of the hospital can be checked and measured, and the improvement of a hospital management system can be promoted.
In order to make the specific operations of the economic management work and the internal management of departments orderly and orderly, hospitals must establish a sound and economical operation system. The economic operation design of hospitals has a lot of contents, and in order to realize all the works to the reality, the management work must be refined, and a standardized, formatted, standardized and unified economic operation management system is constructed.
However, most of the existing fine operation management systems of hospitals are based on the aspect of medical services, such as centering on patients or centering on performance assessment, and lack management of financial management category.
The above drawbacks are to be overcome by those skilled in the art.
Disclosure of Invention
First, the technical problem to be solved
In order to solve the problems in the prior art, the application provides a financial fusion fine management system, which solves the problem that the management system only considers the management of medical services and lacks financial management in the prior art.
(II) technical scheme
In order to achieve the above purpose, the main technical scheme adopted by the application comprises the following steps:
the application provides a fine management system for industry and financial fusion, which comprises:
the index setting module is configured to set corresponding indexes for the medical system and the financial system according to preset requirements;
the data extraction module is configured to extract data in the medical system and the financial system according to the set index to obtain index data;
the data processing module is configured to clean and process the index data to obtain processed data;
the data fusion module is configured to process and summarize doctors, departments and charging data according to the original index data and the processed data, and a data center is constructed;
and the service module is configured to generate a data report based on the data center, and perform data analysis and query through the acquired query request to generate a query report.
In an exemplary embodiment of the present application, the index set in the index setting module includes:
outpatient service quantity and service statistics set for medical system;
clinic income, patient operation condition standard and out-of-standard early warning set for the financial system.
In an exemplary embodiment of the present application, the outpatient service volume includes: the visit data of doctors and the times and the duty ratio of diagnosis and treatment of non-medical insurance patients, medical insurance patients and special-need patients;
the service statistics include: statistics of number of hospitalization receipts for outpatient, rate of hospitalization income for outpatient, department service volume, and for department service volume;
the clinic revenue includes: clinic income and medicine income for non-medical insurance patients, medical insurance patients and special-need patients;
the patient behavior comprises: the income of the secondary average clinic cost, the income of the secondary average medicine cost, the medicine cost proportion, the secondary average consumable material cost and the consumable material proportion of non-medical insurance patients, medical insurance patients and special-need patients;
the patient performance criteria include: the standard value of the income of the secondary average clinic cost, the income of the secondary average medicine cost, the medicine cost ratio, the secondary average consumable material cost and the consumable material ratio of the non-medical insurance patient, the medical insurance patient and the special patient in the department where the doctor is located;
the out-of-standard early warning includes: the differences of the average value of non-medical insurance patients, medical insurance patients and special patients in the department where the doctor is located and the average value of the average clinic cost income, the average medicine cost income, the medicine cost proportion, the average consumable cost and the consumable proportion of the doctor and the individual average value of the doctor.
In an exemplary embodiment of the present application, the data extraction module performs data extraction by means of automatic extraction, manual collection and manual reporting.
In an exemplary embodiment of the present application, the data extraction by means of automatic extraction, manual collection and manual reporting includes:
the method comprises the steps of adopting automatic extraction aiming at a hospital information system HIS, a laboratory information management system LIS, a medical image archiving and communication system PACS and medical records in a medical system and adopting automatic extraction aiming at performance wages in a financial system;
manually extracting medical insurance data;
unstructured data generated for teaching and scientific research are formed into an electronic form through an Excel form, and are manually filled and extracted.
In an exemplary embodiment of the present application, the data processing module includes:
the cleaning submodule is used for cleaning the repeated value and the noise value; and
and the unified sub-module is used for carrying out format unification processing on data in different formats in the medical system and the financial system.
In an exemplary embodiment of the present application, the service module includes:
the report generation sub-module is configured to acquire fields in the report, acquire corresponding index data or processed data from the data center according to the fields, and fill the acquired data into the corresponding fields to generate a data report;
the query sub-module is configured to acquire a query request of a user, analyze and identify the query request to obtain a user identity, determine a check field according to the user identity and a preset authority, acquire corresponding index data or processed data from the data center according to the check field as query data, and fill the query data into the corresponding check field to generate a query report.
In an exemplary embodiment of the present application, the preset authority in the query sub-module is:
the user identity is the lead of the hospital or the financial department, and the corresponding authority is all reports;
the user identity is a clinical department or a medical technical department, and the corresponding authority is a fixed report for checking a functional report and the department, wherein fields in the fixed report are preset values;
the user identity is management department or research department, and the corresponding authority is to check management class data or research class data of each department of the hospital.
In an exemplary embodiment of the present application, further comprising:
the chart display module is used for generating and displaying a corresponding chart according to the data report or the plug-in report by combining with preset fields, and the display is based on the independent display of the fields obtained in the chart or the data table, wherein the preset fields are indexes set in the index setting module.
In an exemplary embodiment of the present application, further comprising:
the monitoring module is used for monitoring the difference rate between the appointed index and the standard value of the index, and sending out early warning if the difference rate exceeds the standard exceeding early warning.
(III) beneficial effects
The beneficial effects of the application are as follows: according to the industrial and financial fusion fine management system provided by the embodiment of the application, the data in the medical system and the financial system are fused to construct the data center, so that the cost conditions of hospitals and departments can be known for hospital leaders and department managers, and data support can be provided for adjusting management targets, making management measures and improving working efficiency of the hospitals and the departments. Finally, the optimized combination of manpower, funds, materials, information and technology of the hospital is realized, the open source throttling is realized, the medical cost is reduced, the economic benefit is improved, and the competitiveness and the hospital management level of the hospital are improved.
Drawings
FIG. 1 is a schematic diagram of a financial fusion refinement management system according to an embodiment of the present application;
FIG. 2 is a flow chart of managing the system of FIG. 1 according to an embodiment of the application.
Detailed Description
The application will be better explained by the following detailed description of the embodiments with reference to the drawings.
All technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein in the description of the application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. The term "and/or" as used herein includes any and all combinations of one or more of the associated listed items.
According to the application, through researching the fine management of the hospital, the economic management goal of the hospital is realized, the cost index management of the hospital is thinned, the cost standard of the hospital is quantized, the examination combining responsibility, authority and rights is realized, the comprehensive optimization combination of resources such as manpower, funds, materials, information and technology is promoted, and the medical and health resources are scientifically integrated and efficiently utilized.
Fig. 1 is a schematic diagram of an industrial and financial integration refinement management system according to an embodiment of the present application, as shown in fig. 1, the system 100 includes: an index setting module 110, a data extraction module 120, a data processing module 130, a data fusion module 140, and a service module 150.
The index setting module 110 is configured to set corresponding indexes for the medical system and the financial system according to preset requirements; the data extraction module 120 is configured to extract data in the medical system and the financial system according to the set index to obtain index data; the data processing module 130 is configured to clean and process the index data to obtain processed data; the data fusion module 140 is configured to process and summarize doctor, department and charging data according to the original index data and the processed data, and construct a data center; the service module 150 is configured to generate a data report based on the data center, and perform data analysis and query through the acquired query request to generate a query report.
By utilizing the system, the whole system starts from the financial management direction, extracts medical service data such as hospitalization income by using a financial caliber, counts according to the current charging, and is different from a medical management mode by taking a patient as a center (according to the current hospitalization charging of the patient); cost data such as fixed asset cost data, medicine cost, consumable cost, manpower resource cost and the like, income is obtained by using income-cost, and total hospital bed daily cost (total cost (income which can be charged into cost and relates to medicines, consumable materials and the like)/number of beds/number of days of beds), clinic cost (total cost (income which can be charged into cost and relates to medicines, consumable materials and the like)/clinic unit/clinic times are analyzed and calculated; the cost of the department bed and the cost of the clinic are the lead of the hospital and the cost condition of the department for the administrative staff of the department to know the cost condition of the hospital and the department. The method realizes the fine operation management of hospitals, refines management targets, reasonably controls operation cost, standardizes medical behaviors, and plays a vital role in comprehensively improving the economic operation efficiency of public hospitals and maximizing the income.
FIG. 2 is a flow chart of managing the system shown in FIG. 1 according to an embodiment of the application:
a1, formulating an index system;
a2, data acquisition;
a3, cleaning and processing data;
a4, establishing a data center;
and A5, generating a data report.
The following details are provided in connection with the various modules in the system of fig. 1 according to the flow chart of fig. 2:
in step A1, the index setting module 110 sets corresponding indexes for the medical system and the financial system according to the preset requirements.
In one embodiment of the application, because the data needed in the hospital management process comprises clinical business data, scientific research teaching data, financial cost data and the like, a fine operation management system in a financial fusion mode is formed by utilizing scientific means such as big data analysis technology and the like, and the indexes are required to be set according to the requirements for facilitating analysis, and can be further classified. The indexes mainly comprise indexes set for medical systems, such as outpatient service quantity and service statistics; and indexes set for the financial system, such as clinic income, patient operation condition standard and out-of-standard early warning.
Wherein the out-patient service volume comprises: the visit data of doctors and the times and the duty ratio of diagnosis and treatment of non-medical insurance patients, medical insurance patients and special-need patients;
the service statistics include: statistics of number of hospitalization receipts for outpatient, rate of hospitalization income for outpatient, department service volume, and for department service volume;
the clinic revenue includes: clinic income and medicine income for non-medical insurance patients, medical insurance patients and special-need patients;
the patient behavior comprises: the income of the secondary average clinic cost, the income of the secondary average medicine cost, the medicine cost proportion, the secondary average consumable material cost and the consumable material proportion of non-medical insurance patients, medical insurance patients and special-need patients;
the patient performance criteria include: the standard value of the income of the secondary average clinic cost, the income of the secondary average medicine cost, the medicine cost ratio, the secondary average consumable material cost and the consumable material ratio of the non-medical insurance patient, the medical insurance patient and the special patient in the department where the doctor is located;
the out-of-standard early warning includes: the differences of the average value of non-medical insurance patients, medical insurance patients and special patients in the department where the doctor is located and the average value of the average clinic cost income, the average medicine cost income, the medicine cost proportion, the average consumable cost and the consumable proportion of the doctor and the individual average value of the doctor.
Table 1 is a table of the classification of the above-mentioned indexes, the index department, and the statistical aperture.
TABLE 1
According to the table 1, the cost of the important decoction pieces is further distinguished for the medicines, and the non-medical insurance patients in the clinic income are taken as an example, and the medicine comprises the total medicine income of Chinese patent medicine + Chinese herbal medicine + western medicine and the part of medicine income of Chinese patent medicine + western medicine. Other cases are similar and will not be described in detail here.
In step A2, the data extraction module 120 extracts data in the medical system and the financial system according to the set index, and obtains index data.
In one embodiment of the present application, the data extraction may be performed in this step by means of automatic extraction, manual collection and manual reporting.
Because of different data sources, different modes need to be adopted for different sources when data extraction is carried out, for example, automatic extraction is adopted for a Hospital Information System (HIS), a laboratory information management system (LIS) and a medical image archiving and communication system (PACS) in a medical system, and automatic extraction is also adopted for performance wages in a financial system and can be automatically realized through GoldenGate and database views; manually extracting medical insurance data, such as manually importing an external text file; unstructured data generated for teaching and scientific research form an electronic form through an Excel form, the electronic form is extracted through manual reporting, and data needing to be collected are summarized through workflow.
In step A3, the data processing module 130 cleans and processes the index data to obtain processed data.
In one embodiment of the present application, the process of collecting hospital data in the above steps generates various large-scale data volumes every time, and the process of collecting the raw data also faces the challenges of "dirty data" included in the large data, so that the raw data needs to be cleaned, and is converted into a data source which can be understood and utilized, and becomes a qualified management data process. The data processing module 130 includes: the cleaning submodule is used for cleaning the repeated value and the noise value; and the unified sub-module is used for carrying out format unified processing on data in different formats in the medical system and the financial system.
When the repeated values are cleaned, in a complex working environment, the repeated occurrence of the repeated data is caused by repeated reporting of the data or other human factors, and the repeated values need to be judged according to the unique field or fields and removed.
When the noise value is cleaned, after the data is transmitted through the transmission program, a plurality of unexpected values occur due to the program bug or the service data itself, and the existence of the data has no meaning for statistics and needs to be removed.
In performing data format cleansing, the data formats used by different business systems may not be consistent, which can have an impact on data statistical analysis, such as: date format, dictionary coding, etc. These different formats need to be unified into one standard.
In step A4, the data fusion module 140 processes and summarizes the physician, department and charging data according to the original index data and the processed data, and constructs a data center.
In one embodiment of the application, the data center is established for storing, processing and managing various data of the whole system, integrates the data from a plurality of systems such as HIS, medical records, PACS, electronic medical records, examination and inspection, education and teaching, scientific research, payroll compensation and the like, and processes and summarizes the data, and mainly comprises the following steps: information catalogs, basic information, business information, exchange information, external service information, data warehouse and the like.
Data centers can be roughly divided into three parts: 1. temporary library (raw data of other systems are extracted) for storing raw data of HIS, LIS, medical records, PACS, electronic medical records, inspection and examination, teaching, scientific research and payroll; 2. the fact library (processed data) is stored according to classification and is divided into: teaching information base, scientific research information base, payroll information base, inspection information base, image information base, medical insurance information base, medical records information base, charging information base, workload information base and the like; 3. data warehouse, divide into: a medical records warehouse, a medical insurance patient warehouse and a basic data warehouse (basic data such as clinic, hospitalization, teaching, scientific research and the like). The data center is used for improving data query performance and storing the data according to dimensions (departments, doctors, charge categories, registration categories and the like) and measurement values (such as average inpatients, clinic times and the like).
In the data processing process, firstly, data of a temporary library is cleaned, the data cleaning mainly comprises cleaning of repeated values, noise values and data formats, for example, doctors take staff numbers as unique marks, after teaching data acquisition, the doctor data only comprise doctor names, and the doctor numbers are supplemented by adopting doctor names and doctor dictionary information in a department matching system; after the doctors under the same department and the duplicate names are manually screened out, the finance department sends back to the relevant management department to manually determine the staff number of the doctors, and then the engineers manually store the staff number. The time and date format is uniformly washed as 'year-month-day', for example, the teaching data date format is 'year/month/day'.
After data cleansing, the underlying data is processed by data processing into factual data with a certain core as a theme and stored in a data center. Examples are as follows: the data processing of the expense fact library firstly takes the doctor number of the doctor, the department and the charging date as the unique index according to the core standard of the doctor of the patient, and the charging data of all the patients of the doctor in the same day are summarized according to charging items (such as doctor service income, medicine income, western medicine income, chinese patent medicine income, chinese herbal medicine income, operation income, examination income, assay income, consumable income and the like). Finally, a charging fact library with doctors, departments and charging dates as unique indexes is formed. Table 2 is a fact repository example.
TABLE 2
Based on table 2, the fact data on the subject of the clinic charge includes the physician's staff number, name, department and date of charge, and the total income and various incomes for the physician.
In step A5, the service module 150 generates a data report based on the data center, and performs data analysis and query through the acquired query request to generate a query report.
In one embodiment of the present application, in order to adapt to the development of the business of the institution, flexible and various reports and queries are provided to management decision-makers at all levels, so as to meet the processing requirements of large data volume and complex data in the future, and provide better support for systems such as fine operation management in the industry and property fusion mode, and the service module 150 includes: and the report generation sub-module and the query sub-module.
The report generation sub-module is configured to acquire fields in the report, acquire corresponding index data or processed data from the data center according to the fields, and fill the acquired data into the corresponding fields to generate a data report; and
the query sub-module is configured to acquire a query request of a user, analyze and identify the query request to obtain a user identity, determine a check field according to the user identity and a preset authority, acquire corresponding index data or processed data from the data center according to the check field as query data, and fill the query data into the corresponding check field to generate a query report.
The preset authority in the inquiring sub-module is as follows: the user identity is the lead of the hospital or the financial department, and the corresponding authority is all reports; the user identity is a clinical department or a medical technical department, and the corresponding authority is a fixed report for checking a functional report and the department, wherein fields in the fixed report are preset values; the user identity is management department or research department, and the corresponding authority is to check the management data or research data of each department of the hospital
In this embodiment, a common report of a hospital can be prefabricated for hospital personnel according to the needs of the hospital, wherein the report can set different operation rights according to different roles, for example, a hospital leader and a financial department role can view all the reports, and a clinical department role can only view a functional report and a fixed report of a gramineroom. The financial department roles have report customization authority, financial department personnel can configure and generate reports through interface operations (such as dragging forms), and medical treatment and financial data analysis are facilitated for the financial department personnel.
The inquiry function can distribute different authorities to different personnel, and specific data which are viewed by different authorities are different, and the data are divided into whole hospital data (department data) and department data (clinical departments view the department data). For example, it may be classified into a hospital leader role, a financial department role, a clinical department role, a medical department role, a management department role, wherein the hospital leader role, the financial department role can view all functions and all data; clinical department roles and medical department roles can only view functions with rights and data can only view data of the department; the administrative department roles can only view the authorized functions, and the data is the whole hospital data.
Based on the above, the following two modules, namely, the outpatient index module and the scientific research module, on the system interface are described as an example:
the court leader role and the financial department role can check the whole court data of the two modules, namely the data of each department; the clinical department role can view the two modules, but the data can only view the data of the department; the medical science department role has no viewing authority of the two modules; only the personnel at the scientific research department can check the scientific research module in the role of the management department, the scientific research department can check the whole hospital data of the scientific research as the management department of the scientific research, and the data of each department can be checked.
The system can be used for a courtyard leader, a clinical main department, a clinical department owner, a medical technical management department and the like. The system integrates the data of all business systems of the hospital to form a standard data set. Such as an outpatient data set, an inpatient data set, etc. Wherein the clinic data set is divided into sub data sets of workload, expense, efficiency and the like. The system is mainly used for analyzing from topics such as outpatient service, hospitalization, income, doctors, medical technology, consumables, cost and the like, and is beneficial to hospital management staff to know the overall operation condition of the hospital.
In one embodiment of the present application, for convenience of presentation, the system presents data in a list form, and thus the system may further include: the chart display module is used for generating and displaying a corresponding chart according to the data report or the plug-in report by combining with preset fields, and the display is based on the independent display of the fields obtained in the chart or the data table, wherein the preset fields are indexes set in the index setting module.
In one embodiment of the present application, for convenience of management, the system may further include: the monitoring module is used for monitoring the difference rate between the appointed index and the standard value of the index, and sending out early warning if the difference rate exceeds the standard exceeding early warning.
In summary, by adopting the industrial and financial fusion refined management system provided by the embodiment of the application, the economic management goal of a hospital is further realized through an informatization technical means, the cost index management of the hospital is refined, the cost standard of the hospital is quantized, the assessment of combining responsibility (such as average inpatient day, average time cost, department service quantity, consultation unit, income and the like for embodying department operation management work), authority (determination of the task of department staff target and performance assessment authority), and right (post and post, benefit and wage, rewarding fund, academic seminar, training and the like) is realized, and the operation goal of the hospital is realized. The comprehensive optimization combination of resources such as manpower, funds, materials, information, technology and the like is realized by promoting the hospital through the refined operation management, and the medical and health resources are scientifically integrated and efficiently utilized. Physicians in each department can check financial data of the department, saving consciousness of staff in the hospital can be improved, the strength of submerged excavation, open source throttling and income increasing and expense saving in the hospital is increased, medical cost is reduced, economic benefit is improved, and profit making capability and market competitiveness of the hospital are improved.
It should be noted that although in the above detailed description several modules or units of a device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functions of two or more modules or units described above may be embodied in one module or unit in accordance with embodiments of the application. Conversely, the features and functions of one module or unit described above may be further divided into a plurality of modules or units to be embodied.
From the above description of embodiments, those skilled in the art will readily appreciate that the example embodiments described herein may be implemented in software, or may be implemented in software in combination with the necessary hardware. Thus, the technical solution according to the embodiments of the present application may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (may be a CD-ROM, a U-disk, a mobile hard disk, etc.) or on a network, and includes several instructions to cause a computing device (may be a personal computer, a server, a touch terminal, or a network device, etc.) to perform the method according to the embodiments of the present application.
Other embodiments of the application will be apparent to those skilled in the art from consideration of the specification and practice of the application disclosed herein. This application is intended to cover any variations, uses, or adaptations of the application following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the application pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.
It is to be understood that the application is not limited to the precise arrangements and instrumentalities shown in the drawings, which have been described above, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the application is limited only by the appended claims.
Claims (8)
1. A financial fusion refinement management system, comprising:
the index setting module is configured to set corresponding indexes for the medical system and the financial system according to preset requirements; the index set in the index setting module comprises:
outpatient service quantity and service statistics set for medical system;
clinic income, patient operation condition standard and out-of-standard early warning set for a financial system;
the clinic revenue includes: clinic income and medicine income for non-medical insurance patients, medical insurance patients and special-need patients;
the patient behavior comprises: the income of the secondary average clinic cost, the income of the secondary average medicine cost, the medicine cost proportion, the secondary average consumable material cost and the consumable material proportion of non-medical insurance patients, medical insurance patients and special-need patients;
the patient performance criteria include: the standard value of the income of the secondary average clinic cost, the income of the secondary average medicine cost, the medicine cost ratio, the secondary average consumable material cost and the consumable material ratio of the non-medical insurance patient, the medical insurance patient and the special patient in the department where the doctor is located;
the out-of-standard early warning includes: the income of the secondary average clinic and the income of the secondary average medical cost of non-medical insurance patients, medical insurance patients and special patients in the department where doctors are located the medicine charge ratio, the secondary average consumable material cost, the difference value between the average value of the consumable material ratio and the average value of the doctor;
the data extraction module is configured to extract data in the medical system and the financial system according to the set index to obtain index data;
the data processing module is configured to clean and process the index data to obtain processed data;
the data fusion module is configured to process and summarize doctors, departments and charging data according to the original index data and the processed data, and a data center is constructed;
the service module is configured to generate a data report based on the data center, and perform data analysis and query through the acquired query request to generate a query report;
the monitoring module is used for monitoring the difference rate between the appointed index and the standard value of the index, and sending out early warning if the difference rate exceeds the standard exceeding early warning.
2. The industry and property convergence refinement management system of claim 1, wherein the out-patient service volume comprises: the visit data of doctors and the times and the duty ratio of diagnosis and treatment of non-medical insurance patients, medical insurance patients and special-need patients;
the service statistics include: the number of hospitalization visits, the rate of hospitalization incomes for the outpatients, the department services, and statistics for the department services.
3. The industry and finance integrated refinement management system of claim 1, wherein the data extraction module performs data extraction in a manner of automatic extraction, manual collection and manual filling.
4. The industry and property convergence refinement management system as claimed in claim 3, wherein said data extraction by means of automatic extraction, manual collection and manual reporting comprises:
the method comprises the steps of adopting automatic extraction aiming at a hospital information system HIS, a laboratory information management system LIS, a medical image archiving and communication system PACS and medical records in a medical system and adopting automatic extraction aiming at performance wages in a financial system;
manually extracting medical insurance data;
unstructured data generated for teaching and scientific research are formed into an electronic form through an Excel form, and are manually filled and extracted.
5. The industry and property convergence refinement management system of claim 1, wherein the data processing module comprises:
the cleaning submodule is used for cleaning the repeated value and the noise value; and
and the unified sub-module is used for carrying out format unification processing on data in different formats in the medical system and the financial system.
6. The industry and property convergence refinement management system of claim 1, wherein the service module comprises:
the report generation sub-module is configured to acquire fields in the report, acquire corresponding index data or processed data from the data center according to the fields, and fill the acquired data into the corresponding fields to generate a data report;
the query sub-module is configured to acquire a query request of a user, analyze and identify the query request to obtain a user identity, determine a check field according to the user identity and a preset authority, acquire corresponding index data or processed data from the data center according to the check field as query data, and fill the query data into the corresponding check field to generate a query report.
7. The industry and property convergence refinement management system of claim 6, wherein the preset permissions in the query sub-module are:
the user identity is the lead of the hospital or the financial department, and the corresponding authority is all reports;
the user identity is a clinical department or a medical technical department, and the corresponding authority is a fixed report for checking a functional report and the department, wherein fields in the fixed report are preset values;
the user identity is management department or research department, and the corresponding authority is to check management class data or research class data of each department of the hospital.
8. The industry and property convergence refinement management system of claim 1, further comprising:
the chart display module is used for generating and displaying a corresponding chart according to the data report or the query report in combination with the preset fields, and the chart display module is used for independently displaying the fields acquired in the chart or the data table, wherein the preset fields are indexes set in the index setting module.
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