CN110853744A - Hospital quality control management system under big data - Google Patents
Hospital quality control management system under big data Download PDFInfo
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- CN110853744A CN110853744A CN201910830341.4A CN201910830341A CN110853744A CN 110853744 A CN110853744 A CN 110853744A CN 201910830341 A CN201910830341 A CN 201910830341A CN 110853744 A CN110853744 A CN 110853744A
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/26—Visual data mining; Browsing structured data
Abstract
The invention provides a hospital quality control management system under big data, which comprises: the terminal, the operation and maintenance management platform, the quality control database and the early warning system store the operation and maintenance data of the operation and maintenance management platform into the quality control database; determining a data analysis algorithm corresponding to the operation and maintenance data by using the data type of the operation and maintenance data in the quality control database, analyzing the operation and maintenance data by using a related data analysis algorithm, and performing visual display by using a display module of the operation and maintenance management platform; the system realizes unified, centralized, standard and normative supervision and early warning on the quality control of each level of the hospital, improves the capacity and efficiency of quality control management, improves the informatization service level of the hospital, and provides detailed and accurate informatization basic data for the informatization development of the hospital.
Description
Technical Field
The invention belongs to the technical field of big data management, and particularly relates to a hospital quality control management system under big data.
Background
The rapid development of the information technology accelerates the progress of the era, and the information technology brings great convenience to the life and work of people. The high-speed development of the times has higher and higher requirements on the working efficiency of various works. The hospital is used as an indispensable public service in the life of people, the working mechanism is large and complex, the flow of people is large, the business volume is large, the medical data volume is large, the working efficiency of the hospital is severely restricted by the problems, and the hospital quality control management system under the big data is designed by utilizing the information technology, so that the working efficiency of each department of the hospital can be improved, the resource utilization rate of the hospital can be improved, and various resources and data of the hospital can be better managed and monitored.
Through collecting quality control index information in real time and judging the risk, related prompts are provided for quality control personnel through graded early warning and alarming when the safety risk occurs, and the incidence rate of bad hidden dangers of hospitals is reduced.
Disclosure of Invention
The invention provides a hospital quality control management system under big data, and aims to solve the problem of low hospital quality control management efficiency.
The invention is realized in this way, a hospital quality control management system under big data, which is characterized in that it includes:
the terminal is used for inputting quality control information;
the operation and maintenance management platform is used for monitoring quality control indexes of medical personnel; the system comprises a relationship construction module, an alarm module, a locking module, an exclusion module, a counting module and a display module;
the quality control database is used for receiving and storing the quality control standard and the quality control information in real time; storing the operation and maintenance data of the operation and maintenance management platform into a quality control database; determining a correlation data analysis algorithm corresponding to the operation and maintenance data by using the data type of the operation and maintenance data in the quality control database, and analyzing the operation and maintenance data through the correlation data analysis algorithm;
the analysis result of the operation and maintenance data is displayed visually through a display module of the operation and maintenance management platform;
the early warning system is used for receiving the early warning instruction to carry out early warning reminding;
the early warning system includes:
the analysis module is used for analyzing the quality control indexes and judging whether the quality control indexes reach the early warning standard or not;
the receiving module is used for receiving the quality control standard;
the quality control evaluation module is used for evaluating the quality control quality of the quality control group and reviewing quality control personnel after quality control intervention;
the acquisition module is used for acquiring and storing the quality control indexes and transmitting data to the quality control database;
the operation and maintenance management platform is respectively connected with the terminal and the quality control database, and the early warning system is connected with the quality control database;
and the quality control database is in communication connection with an electronic diagnosis and treatment system of the hospital.
Furthermore, the terminal is provided with a service flow reminding module, the service flow reminding module is integrated with the operation and maintenance management platform, the reminding function of the full-flow nodes in each functional module of the system is realized, the information is pushed in a message reminding mode, the information is clicked to reach a system link, and after a user name and a password are logged in, the operation of checking and approving the flow is directly carried out;
further, the relationship construction module divides all modules into interrelated elements through an analytic hierarchy process, and performs quantitative description according to the membership between upper and lower levels of the elements and the dependency between every two elements of the same level to construct a relationship matrix; the system comprises a network, a host, middleware, a database and an application, wherein the layers of all elements are an application service layer, a system resource layer, a network service layer and an infrastructure layer from top to bottom;
the alarm module is used for automatically judging the execution condition of the quality control index; inputting quality control index scores through a terminal, calculating quality control index data by the analysis module, matching the quality control index data with a preset threshold value of the quality control index, and judging whether to output alarm information to the corresponding terminal;
the quality control indexes comprise positive indexes and negative indexes, the positive indexes are alarm information sent by the alarm module when the quality control index data are smaller than or equal to a threshold value, and the alarm module does not give an alarm when the quality control index data are larger than the threshold value; the negative index is that when the quality control index data is greater than or equal to the threshold value, the alarm module sends alarm information, and when the quality control index data is less than the threshold value, the alarm module does not give an alarm;
the locking module is used for determining a specific term of the quality control index which causes alarm after the alarm information is generated, and locking the problem of the quality control index in the term according to the relation matrix;
the elimination module is used for repairing the locked quality control problem and eliminating alarm information;
the counting module is used for counting the locked quality control problems, and when the locking module locks the quality control problems according to the quality control standard clauses, the counting module counts the quality control standard clauses and transmits data to the quality control database.
Further, the quality control database includes:
the input module is used for inputting corresponding personnel information and quality control standards of the hospital quality management organization framework, uploading and synchronizing the personnel information and the quality control standards to the quality control database;
the editing module is used for editing and modifying the information, the authority information and the quality control standard of hospital personnel according to the dynamic change of the actual work content of the hospital;
the data analysis module is used for analyzing the quality control index data according to the hospital quality management organizational structure;
and the query module is used for querying the analysis result of the quality control index data.
Furthermore, the operation and maintenance management module also comprises a quality management service module;
the quality management service module comprises a quality management module, a quality inspection module, a quality analysis module, a quality improvement module and a quality statistic module,
the quality management module comprises a quality control planning unit, the quality control planning unit is used for issuing monthly quality control plans, generating inspection forms, and inspectors perform inspection according to the plans;
the quality inspection module comprises a quality control inspection unit, the quality control inspection unit inputs assessment data according to an inspection form, and the assessment data are uploaded to a quality control database through the terminal;
the quality analysis module comprises a quality control result analysis unit and a quality improvement planning unit, wherein the quality control result analysis unit comprises a single problem analysis unit, a comprehensive effect analysis unit and a department comprehensive quality analysis unit; the single problem analysis unit carries out statistical analysis on the single problem data in the inspection form through the data of the quality control database and displays a statistical result; the comprehensive effect analysis unit carries out comparison statistical analysis on all the problem data in each form and displays a statistical result; the department comprehensive quality analysis unit performs comparative statistical analysis on all form data of a single department and displays a statistical result;
the quality improvement planning unit is used for issuing or improving and evaluating problems or deduction items existing in a completed form, and checking the problem inspection results of each organization structure in a certain time period according to the authority;
the quality improvement module comprises a superior inspection rectification unit, a quality improvement evaluation unit, a tracking evaluation unit and an analysis and evaluation unit; the upper level checking and modifying unit is used for issuing modifying information to the corresponding lower level organization structure; the quality improvement evaluation unit is used for performing reason analysis and feedback of improvement measures on the correction information issued by the upper level at the lower level; the tracking evaluation unit is used for tracking evaluation of the superior to the subordinate improvement effect; the analysis and evaluation unit is used for evaluating and analyzing the quality control problems, the time period of the evaluation and analysis is monthly, quarterly, half year or one year, and the range of the evaluation and analysis is the quality control problems of the whole hospital or department;
the quality statistic module comprises a quality control problem feedback unit, a quality analysis report unit, a statistic analysis unit, a quality control special group assessment unit, a department assessment summary unit and a whole hospital medical quality assessment unit,
the quality control problem feedback unit takes departments as a collection unit and reminds responsible persons of rectification according to the problems of the form feedback departments; the quality analysis report unit summarizes various quality inspection information, and provides improvement measures for tracking and evaluating; the statistical analysis unit is used for statistically analyzing the data under the statistics of the deducted departments, the inspection forms, the individuals and the quality control groups, and comprises the following steps: comprehensive statistical analysis of departments, statistical analysis of deduction problems of the examination form, deduction and grading statistics of the examination form, statistical analysis of personal deduction problems, quality control group problem summary table and deduction quantity statistics of departments; the hospital-wide quality assessment unit generates individual deduction data, total deduction data and performance scoring data of each checking table by taking departments as units;
further, the early warning system comprises:
the early warning rule setting module is used for setting early warning rules, wherein the early warning rules comprise key index early warning rules and process early warning rules;
the state identification module is used for comparing and analyzing the real-time assessment data stored by the data storage module with the early warning rules set by the early warning rule setting module, judging whether the real-time assessment data is abnormal or not, and if the real-time assessment data is abnormal, obtaining the quality control problem reflected by the abnormal real-time assessment data;
the early warning mode selection module is used for selecting the early warning mode needing early warning when the state identification module identifies the problem; the early warning mode comprises a process early warning mode and an assessment data early warning mode;
the early warning knowledge base is used for storing corresponding relations among processes, quality control standards, problems, reasons for problems and problem processing measures in a knowledge form, and comprises the quality control standards;
the forward inference machine is used for receiving the early warning mode selected by the early warning mode selection module, traversing the early warning knowledge base by taking the problem identified by the state identification module as a traversal condition based on the early warning mode, and obtaining a problem reason and a problem processing measure corresponding to the problem;
the early warning module is used for integrating the problems, the reason of the problems and the problem processing measures into early warning information and carrying out early warning;
the early warning recording module is used for recording corrected early warning information, wherein the early warning information comprises a corresponding relation among quality control problems, problem reasons and quality control problem processing measures;
and the updating module is used for adding the early warning information recorded by the early warning recording module to the early warning knowledge base.
Further, the flow early warning mode is as follows: carrying out early warning on the running state of the whole process of the hospital quality management system;
the key parameter early warning mode is as follows: the state of key detection parameters of each inspection form in the system process is early warned;
the forward inference engine specifically includes:
the first traversal module is used for traversing the early warning knowledge base by taking the fault identified by the state identification module as a traversal condition based on the early warning mode to obtain all possible problem reasons corresponding to the problem;
if the process early warning mode is adopted, the operation state of the hospital quality control process is tracked, for each quality control process, a key parameter value of each step in the quality control process is obtained, and a plurality of fault reasons of the key parameter value during fault are obtained;
if the key parameter early warning mode is adopted, all possible problem reasons of the key parameters under the problem are obtained by searching the early warning knowledge base;
the logic judgment condition storage module is used for storing logic judgment conditions corresponding to each problem reason in the early warning knowledge base; the logic judgment condition is that the key parameters of the quality control standard have specific problems, and the problems among the key parameters have specific logic relations which are consistent with the modified logic relations among the key parameters in the business process;
the second traversal module is used for executing the following operations on all possible problem reasons obtained by the first traversal module:
recording any possible problem reason as a problem reason W, searching the logic judgment condition storage module, obtaining a logic judgment condition corresponding to the problem reason W, and further obtaining a key parameter of a quality control standard; secondly, traversing the early warning knowledge base by taking the key parameters of the quality control standards as traversal conditions, judging whether the key parameters of the quality control standards have the specific problems or not, judging whether the faults between the quality control standards accord with specific logical relations or not, and if yes, taking the problem reason W as an actual problem reason; otherwise, the problem reason W is not an actually occurring problem, and the problem reason W is removed;
thereby deriving at least one actual cause of the problem;
and the problem processing measure acquisition module is used for acquiring the problem processing measures corresponding to the actual problem reasons according to the early warning knowledge base.
Compared with the prior art, the invention has the beneficial effects that: the system realizes unified, centralized, standard and normative supervision and early warning on the quality control of each level of the hospital, improves the capacity and efficiency of quality control management, improves the informatization service level of the hospital, and provides detailed and accurate informatization basic data for the informatization development of the hospital.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The invention provides a technical scheme that: the utility model provides a hospital quality control management system under big data which characterized in that includes:
the terminal is used for inputting quality control information;
the operation and maintenance management platform is used for monitoring quality control indexes; the system comprises a relationship construction module, an alarm module, a locking module, an exclusion module, a counting module and a display module;
the quality control database is used for receiving and storing quality control standard information and quality control information in real time; storing the operation and maintenance data of the operation and maintenance management platform into a quality control database; determining a correlation data analysis algorithm corresponding to the operation and maintenance data by using the data type of the operation and maintenance data in the quality control database, and analyzing the operation and maintenance data through the correlation data analysis algorithm;
the analysis result of the operation and maintenance data is displayed visually through a display module of the operation and maintenance management platform;
the early warning system is used for receiving the early warning instruction to carry out early warning reminding;
the early warning system includes:
the analysis module is used for analyzing the quality control indexes and judging whether the quality control indexes reach the early warning standard or not;
the receiving module is used for receiving the quality control standard;
the quality control evaluation module is used for evaluating the quality control quality of the quality control group and reviewing quality control personnel after quality control intervention;
the acquisition module is used for acquiring and storing the quality control indexes and transmitting data to the quality control database;
the operation and maintenance management platform is respectively connected with the terminal and the quality control database, and the early warning system is connected with the quality control database;
and the quality control database is in communication connection with an electronic diagnosis and treatment system of the hospital.
Preferably, the terminal is provided with a service flow reminding module, the service flow reminding module is integrated with the operation and maintenance management platform, the reminding function of the full-flow node in each functional module of the system is realized, the reminding function is pushed in a message reminding mode, a message is clicked to reach a system link, and after a user name and a password are logged in, the operation of checking and approving the flow is directly carried out;
preferably, the relationship construction module divides all modules into interrelated elements by an analytic hierarchy process, and performs quantitative description according to the membership between upper and lower levels of the elements and the dependency between every two elements of the same level to construct a relationship matrix; the system comprises a network, a host, middleware, a database and an application, wherein the layers of all elements are an application service layer, a system resource layer, a network service layer and an infrastructure layer from top to bottom;
the alarm module is used for automatically judging the execution condition of the quality control index; inputting quality control index scores through a terminal, calculating quality control index data by the analysis module, matching the quality control index data with a preset threshold value of the quality control index, and judging whether to output alarm information to the corresponding terminal;
the quality control indexes comprise positive indexes and negative indexes, the positive indexes are alarm information sent by the alarm module when the quality control index data are smaller than or equal to a threshold value, and the alarm module does not give an alarm when the quality control index data are larger than the threshold value; the negative index is that when the quality control index data is greater than or equal to the threshold value, the alarm module sends alarm information, and when the quality control index data is less than the threshold value, the alarm module does not give an alarm;
the locking module is used for determining a specific term of the quality control index which causes alarm after the alarm information is generated, and locking the problem of the quality control index in the term according to the relation matrix;
the elimination module is used for repairing the locked quality control problem and eliminating alarm information;
the counting module is used for counting the locked quality control problems, and when the locking module locks the quality control problems according to the quality control standard clauses, the counting module counts the quality control standard clauses and transmits data to the quality control database.
Preferably, the quality control database includes:
the input module is used for inputting corresponding personnel information and quality control standards of the hospital quality management organization framework, uploading and synchronizing the personnel information and the quality control standards to the quality control database;
the editing module is used for editing and modifying the information, the authority information and the quality control standard of hospital personnel according to the dynamic change of the actual work content of the hospital;
the data analysis module is used for analyzing the quality control index data according to the hospital quality management organizational structure;
preferably, the operation and maintenance management module further comprises a quality management service module;
the quality management service module comprises a quality management module, a quality inspection module, a quality analysis module, a quality improvement module and a quality statistic module,
the quality management module comprises a quality control planning unit, the quality control planning unit is used for issuing monthly quality control plans, generating inspection forms, and inspectors perform inspection according to the plans;
the quality inspection module comprises a quality control inspection unit, the quality control inspection unit inputs assessment data according to an inspection form, and the assessment data are uploaded to a quality control database through the terminal;
the quality analysis module comprises a quality control result analysis unit and a quality improvement planning unit, wherein the quality control result analysis unit comprises a single problem analysis unit, a comprehensive effect analysis unit and a department comprehensive quality analysis unit; the single problem analysis unit carries out statistical analysis on the single problem data in the inspection form through the data of the quality control database and displays a statistical result; the comprehensive effect analysis unit carries out comparison statistical analysis on all the problem data in each form and displays a statistical result; the department comprehensive quality analysis unit performs comparative statistical analysis on all form data of a single department and displays a statistical result;
the quality improvement planning unit is used for issuing or improving and evaluating problems or deduction items existing in a completed form, and checking the problem inspection results of each organization structure in a certain time period according to the authority;
the quality improvement module comprises a superior inspection rectification unit, a quality improvement evaluation unit, a tracking evaluation unit and an analysis and evaluation unit; the upper level checking and modifying unit is used for issuing modifying information to the corresponding lower level organization structure; the quality improvement evaluation unit is used for performing reason analysis and feedback of improvement measures on the correction information issued by the upper level at the lower level; the tracking evaluation unit is used for tracking evaluation of the superior to the subordinate improvement effect; the analysis and evaluation unit is used for evaluating and analyzing the quality control problems, the time period of the evaluation and analysis is monthly, quarterly, half year or one year, and the range of the evaluation and analysis is the quality control problems of the whole hospital or department;
the quality statistic module comprises a quality control problem feedback unit, a quality analysis report unit, a statistic analysis unit, a quality control special group assessment unit, a department assessment summary unit and a whole hospital medical quality assessment unit,
the quality control problem feedback unit takes departments as a collection unit and reminds responsible persons of rectification according to the problems of the form feedback departments; the quality analysis report unit summarizes various quality inspection information, and provides improvement measures for tracking and evaluating; the statistical analysis unit is used for statistically analyzing the data under the statistics of the deducted departments, the inspection forms, the individuals and the quality control groups, and comprises the following steps: comprehensive statistical analysis of departments, statistical analysis of deduction problems of the examination form, deduction and grading statistics of the examination form, statistical analysis of personal deduction problems, quality control group problem summary table and deduction quantity statistics of departments; the hospital-wide quality assessment unit generates individual deduction data, total deduction data and performance scoring data of each checking table by taking departments as units;
preferably, the early warning system includes:
the early warning rule setting module is used for setting early warning rules, wherein the early warning rules comprise key index early warning rules and process early warning rules;
the state identification module is used for comparing and analyzing the real-time assessment data stored by the data storage module with the early warning rules set by the early warning rule setting module, judging whether the real-time assessment data is abnormal or not, and if the real-time assessment data is abnormal, obtaining the quality control problem reflected by the abnormal real-time assessment data;
the early warning mode selection module is used for selecting the early warning mode needing early warning when the state identification module identifies the problem; the early warning mode comprises a process early warning mode and an assessment data early warning mode;
the early warning knowledge base is used for storing corresponding relations among processes, quality control standards, problems, reasons for problems and problem processing measures in a knowledge form, and comprises the quality control standards;
the forward inference machine is used for receiving the early warning mode selected by the early warning mode selection module, traversing the early warning knowledge base by taking the problem identified by the state identification module as a traversal condition based on the early warning mode, and obtaining a problem reason and a problem processing measure corresponding to the problem;
the early warning module is used for integrating the problems, the reason of the problems and the problem processing measures into early warning information and carrying out early warning;
the early warning recording module is used for recording corrected early warning information, wherein the early warning information comprises a corresponding relation among quality control problems, problem reasons and quality control problem processing measures;
and the updating module is used for adding the early warning information recorded by the early warning recording module to the early warning knowledge base.
Preferably, the flow early warning mode is as follows: carrying out early warning on the running state of the whole process of the hospital quality management system;
the key parameter early warning mode is as follows: the state of key detection parameters of each inspection form in the system process is early warned;
the forward inference engine specifically includes:
the first traversal module is used for traversing the early warning knowledge base by taking the fault identified by the state identification module as a traversal condition based on the early warning mode to obtain all possible problem reasons corresponding to the problem;
if the process early warning mode is adopted, the operation state of the hospital quality control process is tracked, for each quality control process, a key parameter value of each step in the quality control process is obtained, and a plurality of fault reasons of the key parameter value during fault are obtained;
if the key parameter early warning mode is adopted, all possible problem reasons of the key parameters under the problem are obtained by searching the early warning knowledge base;
the logic judgment condition storage module is used for storing logic judgment conditions corresponding to each problem reason in the early warning knowledge base; the logic judgment condition is that the key parameters of the quality control standard have specific problems, and the problems among the key parameters have specific logic relations which are consistent with the modified logic relations among the key parameters in the business process;
the second traversal module is used for executing the following operations on all possible problem reasons obtained by the first traversal module:
recording any possible problem reason as a problem reason W, searching the logic judgment condition storage module, obtaining a logic judgment condition corresponding to the problem reason W, and further obtaining a key parameter of a quality control standard; secondly, traversing the early warning knowledge base by taking the key parameters of the quality control standards as traversal conditions, judging whether the key parameters of the quality control standards have the specific problems or not, judging whether the faults between the quality control standards accord with specific logical relations or not, and if yes, taking the problem reason W as an actual problem reason; otherwise, the problem reason W is not an actually occurring problem, and the problem reason W is removed;
thereby deriving at least one actual cause of the problem;
and the problem processing measure acquisition module is used for acquiring the problem processing measures corresponding to the actual problem reasons according to the early warning knowledge base.
The invention provides a hospital quality control management system under big data, which stores operation and maintenance data of an operation and maintenance management platform into a quality control database; determining a relevant data analysis algorithm corresponding to the operation and maintenance data by using the data type of the operation and maintenance data in the quality control database, analyzing the operation and maintenance data by using the relevant data analysis algorithm, and performing visual display by using a display module of an operation and maintenance management platform; the system realizes unified, centralized, standard and normative supervision and early warning on the quality control of each level of the hospital, improves the capacity and efficiency of quality control management, improves the informatization service level of the hospital, and provides detailed and accurate informatization basic data for the informatization development of the hospital.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (7)
1. The utility model provides a hospital quality control management system under big data which characterized in that includes:
the terminal is used for inputting quality control information;
the operation and maintenance management platform is used for monitoring quality control indexes of medical personnel; the system comprises a relationship construction module, an alarm module, a locking module, an exclusion module, a counting module and a display module;
the quality control database is used for receiving and storing the quality control standard and the quality control information in real time; storing the operation and maintenance data of the operation and maintenance management platform into a quality control database; determining a correlation data analysis algorithm corresponding to the operation and maintenance data by using the data type of the operation and maintenance data in the quality control database, and analyzing the operation and maintenance data through the correlation data analysis algorithm;
the analysis result of the operation and maintenance data is displayed visually through a display module of the operation and maintenance management platform;
the early warning system is used for receiving the early warning instruction to carry out early warning reminding;
the early warning system includes:
the analysis module is used for analyzing the quality control indexes and judging whether the quality control indexes reach the early warning standard or not;
the receiving module is used for receiving the quality control standard;
the quality control evaluation module is used for evaluating the quality control quality of the quality control group and reviewing quality control personnel after quality control intervention;
the acquisition module is used for acquiring and storing the quality control indexes and transmitting data to the quality control database;
the operation and maintenance management platform is respectively connected with the terminal and the quality control database, and the early warning system is connected with the quality control database;
and the quality control database is in communication connection with an electronic diagnosis and treatment system of the hospital.
2. The big data hospital quality control management system according to claim 1, wherein: the terminal is provided with a business process reminding module which is integrated with the operation and maintenance management platform, so that the reminding function of all process nodes in all functional modules of the system is realized, the information is pushed in a message reminding mode, the information is clicked to reach a system link, and after a user name and a password are logged in, the operation of checking and approving the process is directly carried out.
3. The big data hospital quality control management system according to claim 1, wherein: the relationship construction module divides all modules into interrelated elements through an analytic hierarchy process, and carries out quantitative description according to the membership between the upper and lower levels of the elements and the dependency between every two elements of the same level to construct a relationship matrix; the system comprises a network, a host, middleware, a database and an application, wherein the layers of all elements are an application service layer, a system resource layer, a network service layer and an infrastructure layer from top to bottom;
the alarm module is used for automatically judging the execution condition of the quality control index; inputting quality control index scores through a terminal, calculating quality control index data by the analysis module, matching the quality control index data with a preset threshold value of the quality control index, and judging whether to output alarm information to the corresponding terminal;
the quality control indexes comprise positive indexes and negative indexes, the positive indexes are alarm information sent by the alarm module when the quality control index data are smaller than or equal to a threshold value, and the alarm module does not give an alarm when the quality control index data are larger than the threshold value; the negative index is that when the quality control index data is greater than or equal to the threshold value, the alarm module sends alarm information, and when the quality control index data is less than the threshold value, the alarm module does not give an alarm;
the locking module is used for determining a specific term of the quality control index which causes alarm after the alarm information is generated, and locking the problem of the quality control index in the term according to the relation matrix;
the elimination module is used for repairing the locked quality control problem and eliminating alarm information;
the counting module is used for counting the locked quality control problems, and when the locking module locks the quality control problems according to the quality control standard clauses, the counting module counts the quality control standard clauses and transmits data to the quality control database.
4. The big-data hospital quality control management system according to claim 2, wherein the quality control database comprises:
the input module is used for inputting corresponding personnel information and quality control standards of the hospital quality management organization framework, uploading and synchronizing the personnel information and the quality control standards to the quality control database;
the editing module is used for editing and modifying the information, the authority information and the quality control standard of hospital personnel according to the dynamic change of the actual work content of the hospital;
the data analysis module is used for analyzing the quality control index data according to the hospital quality management organizational structure;
and the query module is used for querying the analysis result of the quality control index data.
5. The big data hospital quality control management system according to claim 1, wherein the operation and maintenance management module further comprises a quality management business module;
the quality management service module comprises a quality management module, a quality inspection module, a quality analysis module, a quality improvement module and a quality statistic module,
the quality management module comprises a quality control planning unit, the quality control planning unit is used for issuing monthly quality control plans, generating inspection forms, and inspectors perform inspection according to the plans;
the quality inspection module comprises a quality control inspection unit, the quality control inspection unit inputs assessment data according to an inspection form, and the assessment data are uploaded to a quality control database through the terminal;
the quality analysis module comprises a quality control result analysis unit and a quality improvement planning unit, wherein the quality control result analysis unit comprises a single problem analysis unit, a comprehensive effect analysis unit and a department comprehensive quality analysis unit; the single problem analysis unit carries out statistical analysis on the single problem data in the inspection form through the data of the quality control database and displays a statistical result; the comprehensive effect analysis unit carries out comparison statistical analysis on all the problem data in each form and displays a statistical result; the department comprehensive quality analysis unit performs comparative statistical analysis on all form data of a single department and displays a statistical result;
the quality improvement planning unit is used for issuing or improving and evaluating problems or deduction items existing in a completed form, and checking the problem inspection results of each organization structure in a certain time period according to the authority;
the quality improvement module comprises a superior inspection rectification unit, a quality improvement evaluation unit, a tracking evaluation unit and an analysis and evaluation unit; the upper level checking and modifying unit is used for issuing modifying information to the corresponding lower level organization structure; the quality improvement evaluation unit is used for performing reason analysis and feedback of improvement measures on the correction information issued by the upper level at the lower level; the tracking evaluation unit is used for tracking evaluation of the superior to the subordinate improvement effect; the analysis and evaluation unit is used for evaluating and analyzing the quality control problems, the time period of the evaluation and analysis is monthly, quarterly, half year or one year, and the range of the evaluation and analysis is the quality control problems of the whole hospital or department;
the quality statistic module comprises a quality control problem feedback unit, a quality analysis report unit, a statistic analysis unit, a quality control special group assessment unit, a department assessment summary unit and a whole hospital medical quality assessment unit,
the quality control problem feedback unit takes departments as a collection unit and reminds responsible persons of rectification according to the problems of the form feedback departments; the quality analysis report unit summarizes various quality inspection information, and provides improvement measures for tracking and evaluating; the statistical analysis unit is used for statistically analyzing the data under the statistics of the deducted departments, the inspection forms, the individuals and the quality control groups, and comprises the following steps: comprehensive statistical analysis of departments, statistical analysis of deduction problems of the examination form, deduction and grading statistics of the examination form, statistical analysis of personal deduction problems, quality control group problem summary table and deduction quantity statistics of departments; the hospital-wide quality assessment unit generates individual deduction data, total deduction data and performance point data of each checking table by taking departments as units.
6. The big data hospital quality control management system according to claim 1, wherein the early warning system comprises:
the early warning rule setting module is used for setting early warning rules, wherein the early warning rules comprise key index early warning rules and process early warning rules;
the state identification module is used for comparing and analyzing the real-time assessment data stored by the data storage module with the early warning rules set by the early warning rule setting module, judging whether the real-time assessment data is abnormal or not, and if the real-time assessment data is abnormal, obtaining the quality control problem reflected by the abnormal real-time assessment data;
the early warning mode selection module is used for selecting the early warning mode needing early warning when the state identification module identifies the problem; the early warning mode comprises a process early warning mode and an assessment data early warning mode;
the early warning knowledge base is used for storing corresponding relations among processes, quality control standards, problems, reasons for problems and problem processing measures in a knowledge form, and comprises the quality control standards;
the forward inference machine is used for receiving the early warning mode selected by the early warning mode selection module, traversing the early warning knowledge base by taking the problem identified by the state identification module as a traversal condition based on the early warning mode, and obtaining a problem reason and a problem processing measure corresponding to the problem;
the early warning module is used for integrating the problems, the reason of the problems and the problem processing measures into early warning information and carrying out early warning;
the early warning recording module is used for recording corrected early warning information, wherein the early warning information comprises a corresponding relation among quality control problems, problem reasons and quality control problem processing measures;
and the updating module is used for adding the early warning information recorded by the early warning recording module to the early warning knowledge base.
7. The big data lower hospital quality control management system according to claim 6, wherein the flow early warning mode is: carrying out early warning on the running state of the whole process of the hospital quality management system;
the key parameter early warning mode is as follows: the state of key detection parameters of each inspection form in the system process is early warned;
the forward inference engine specifically includes:
the first traversal module is used for traversing the early warning knowledge base by taking the fault identified by the state identification module as a traversal condition based on the early warning mode to obtain all possible problem reasons corresponding to the problem;
if the process early warning mode is adopted, the operation state of the hospital quality control process is tracked, for each quality control process, a key parameter value of each step in the quality control process is obtained, and a plurality of fault reasons of the key parameter value during fault are obtained;
if the key parameter early warning mode is adopted, all possible problem reasons of the key parameters under the problem are obtained by searching the early warning knowledge base;
the logic judgment condition storage module is used for storing logic judgment conditions corresponding to each problem reason in the early warning knowledge base; the logic judgment condition is that the key parameters of the quality control standard have specific problems, and the problems among the key parameters have specific logic relations which are consistent with the modified logic relations among the key parameters in the business process;
the second traversal module is used for executing the following operations on all possible problem reasons obtained by the first traversal module:
recording any possible problem reason as a problem reason W, searching the logic judgment condition storage module, obtaining a logic judgment condition corresponding to the problem reason W, and further obtaining a key parameter of a quality control standard; secondly, traversing the early warning knowledge base by taking the key parameters of the quality control standards as traversal conditions, judging whether the key parameters of the quality control standards have the specific problems or not, judging whether the faults between the quality control standards accord with specific logical relations or not, and if yes, taking the problem reason W as an actual problem reason; otherwise, the problem reason W is not an actually occurring problem, and the problem reason W is removed;
thereby deriving at least one actual cause of the problem;
and the problem processing measure acquisition module is used for acquiring the problem processing measures corresponding to the actual problem reasons according to the early warning knowledge base.
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