CN117038028A - Hospital medical quality supervision and management system and method - Google Patents
Hospital medical quality supervision and management system and method Download PDFInfo
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Abstract
The application relates to a medical quality supervision method of a hospital, which relates to the technical field of medical quality inspection of the hospital, and comprises the following steps of confirming supervision directions and supervision departments of medical quality, conducting supervision on the medical quality according to supervision periods, acquiring medical quality data, analyzing the medical quality data in each department, acquiring supervision weights in each department, determining a supervision value of the hospital according to the supervision weights, outputting supervision results according to the supervision values, improving corresponding problems according to the supervision results, and realizing the PDCA closed-loop management of supervision by unifying supervision basic knowledge base, supervision problem improvement, supervision quality tracking and supervision quality data analysis, thereby providing a powerful gripper for realizing continuous improvement of the medical quality for the hospital.
Description
Technical Field
The application relates to the technical field of medical quality inspection in hospitals, in particular to a medical quality supervision and supervision system and method in hospitals.
Background
Medical departments serve as management departments, supervision is required to be carried out on all departments of the whole hospital regularly, supervision contents are more, the project amount is large, supervision staff cannot remember which contents to be checked, and problems are caused to be missed; the supervising result is completely written on paper, and the workload is large; after supervision is finished, massive redundancy of supervision business data is achieved, manual statistics and analysis are needed, the difficulty of converting effective information is high, high-quality analysis reports are difficult to produce, deep problems are difficult to find, and scientific decisions cannot be provided for managers. For the found problems, the problems which are continuously improved and difficult to track still need to be corrected through a paper process, so that a medical quality supervision and supervision system and method for hospitals are needed to solve the problems.
Disclosure of Invention
In view of the limitations of the prior art methods described above, it is an object of the present application to provide a smart data center technology and an application system for medical clinical research, which solve one or more technical problems existing in the prior art, and at least provide a beneficial choice or creation condition.
A hospital medical quality supervision method, the method comprising the steps of:
s100: confirming the supervision direction and supervision department of the medical quality;
s200: according to the supervision period, supervising the medical quality and acquiring medical quality data;
s300: analyzing the medical quality data in each department, and acquiring supervision weights in each department;
s400: determining a hospital supervision value according to the supervision weight;
s500: outputting the supervision result according to the supervision value, and improving the corresponding problem according to the supervision result.
Further, in step S100, according to the quality improvement objective currently formulated in the hospital, three dimensions of the supervision department scope, the organization supervision expert, and the supervision direction are set, and the supervision plan formulation is performed.
Further, in step S200, the supervision expert is mainly entered into the supervision system through a paper table in the supervision process, the problem to be found in the supervision is described in the supervision system, meanwhile, the supervision problem is recorded, the scene is photographed and evidence obtained in the system, the user can make the supervision plan scheme of this time on line, after receiving the supervision task, the supervision expert performs on-line supervision and supervision result entry on the department through a personal mobile phone, the system automatically generates an annual analysis report and a current analysis report through modes such as comparison analysis, scale analysis, duty analysis, trend analysis and the like, and medical quality data is obtained through the annual analysis report and the current analysis report, and the medical quality data is a subjective score value;
the digital structured processing technology is adopted, a three-level management mechanism of a knowledge base is realized through a supervision module, supervision items and supervision list, and supervision items related to each department in a hospital are structured and centrally managed and stored in a database.
Further, in step S300, statistics is performed on the medical quality data submitted by the user in each department, the medical quality data is numbered according to the time sequence of the submitted and the ordering of the departments, the format record of the medical quality data is (Ei, dj), ei is the department with the department label being the ith department, dj is the medical quality data submitted by the j with the medical quality data label, and the supervision weight of each department is obtained according to the following steps:
s301: the medical quality data is constructed into a sequence Qu, and a weight coefficient r of the medical quality data is calculated k ，The (Ei, dj) and (Ei, dj+1) are j and j+1 bit elements of the ith department in the sequence Qu, according to r k Assigning the keywords to obtain subjective weights SUB,/SUB of medical quality data>p is the total element amount of the sequence Qu, and p-1 is the weight coefficient r k Is a total amount of (2);
s302: combining the medical quality data in the sequence Qu with the subjective weight of the medical quality data, calculating to obtain the qualification rate CON of the department, calculating the average number mean (Qu), the maximum value max (Qu) and the minimum value min (Qu) of the sequence Qu,the CO is a qualified standard, the sequence Qu is divided into two sequences according to the qualified standard into a qualified sequence D and a disqualified sequence N respectively, if the sequences areWhen Dj in the sequence Qu is more than or equal to CO, adding the medical quality data into a qualified sequence D, if Dj in the sequence Qu is less than CO, adding the medical quality data into an unqualified sequence N, counting the quantity of the added qualified sequences D in each department to occupy the ratio Yi,
s303: calculating the medical quality data objective weight OBJ of each department by the qualification rate, adding the qualification rate CON into the sequence Qu, constructing a matrix E, inputting the matrix E into a convolutional neural network model, performing deep learning on the model, acquiring the qualification rate of each supervision batch when a supervision system continuously inputs new data, performing incremental learning by the system, finally outputting the matrix E, wherein the rows of the matrix E are elements of the sequence Qu, the columns of the matrix E are the qualification rates CON of the departments,
ln () is a logarithmic function;
s304: finally, the comprehensive weight value is obtained through calculation by the weight value SUB and the weight value OBJ,obtaining a comprehensive weight value F of a corresponding proportion by carrying out variance calculation on a weight value SUB and a weight value OBJ, wherein F is a function for obtaining the comprehensive weight value, when F reaches a minimum value and the error of the obtained weight value reaches the minimum value, ci in the formula at the moment is the weight value of each medical quality data, the weight value Ci is constructed as a comprehensive weight sequence Z, and a comprehensive weight matrix Z= (C) 1 ，C 2 ，…,C n )。
Further, in step S400, the method for determining the hospital supervision value by the supervision weight is as follows:
s401: storing hospital supervision data in nodes, defining each department as a main node, storing the hospital supervision data in the departments in common nodes, correspondingly setting a node state for each common node, wherein the state is represented as T or F, T represents an access network transmission state, F represents an unconnected state, setting a state initial value of the common node as F, forming a hypergraph G= (V, E) according to the position of a storage node, wherein the vertex set V is the main node, and the hyperedge set E is a transmission path from the common node to the main node;
s402: judging the network state of the node when the node state is T through a hypergraph G= (V, E), acquiring hospital supervision data transmitted in transmission paths of each vertex V and a hyperedge set E in the hypergraph, calculating according to a comprehensive weight matrix Z to acquire a hospital supervision value DCZ,
exp is an exponential function based on a natural constant e, and DCZ (i) is the ith medical quality data.
Further, in step S500, the supervised department may check the supervision result of the department in real time, and according to the feedback problem and opinion of the supervision expert, formulate improvement measures to perform quality improvement, and report the relevant improvement measures and results to the supervision responsible person for verification;
the department supervision plan list is supported to be checked in pages, and query according to the plan name is supported;
support to view the family room supervision feedback problem list and can assign problem follower to specific problems;
supporting the feedback problem of supervision specialists, and enabling a follower to submit improvement measures and evidence materials to supervision responsible persons;
support to look up the grading of the table list of the supervision of the family room and the condition of reaching standards.
Further, a medical quality supervision and administration system for hospitals, the system comprises a supervision and administration system, a supervision and administration server, a supervision and administration background and a supervision and administration data storage system, wherein data acquired by the supervision and administration background can be stored in a memory, the medical supervision and administration system, the supervision and administration server, the supervision and administration background and the supervision and administration data storage system can run a computer program on the supervision and administration system, and the supervision and administration system realizes the steps in any one of the above methods for medical quality supervision and administration for hospitals when executing the computer program.
Action position of each module in the system:
and (5) supervision system: the module is used for carrying out data processing and analysis according to the acquired supervision data;
supervision server: a service platform for submitting supervision data by a user;
supervision backstage: the supervision data are transmitted in a supervision background after being subjected to data processing and analysis in a supervision system;
and checking a data storage system: and storing supervision data.
The beneficial effects of the application are as follows: when the supervision plan is created subsequently, specific supervision projects are not required to be selected, the supervision content of the time can be confirmed rapidly, the working efficiency is greatly improved, supervision results and evidence materials can be recorded in a mobile phone rapidly in the supervision process, supervision expert efficiency is improved, supervision data are more complete, data support is provided for subsequent supervision quality data analysis, and a department can directly obtain a supervision problem list automatically generated by the system and realize the supervision. The supervision responsible person can track the department quality problem at any time, thereby ensure that each department can obtain effective implementation on the supervision problem, the supervision responsible person can track supervision expert's supervision progress and supervision result at any time, improve management efficiency, can generate supervision result analysis report in real time, help supervision responsible person carry out supervision quality analysis fast, through unifying supervision basic knowledge base, supervision problem improvement, supervision quality tracking, supervision quality data analysis, realize supervision PDCA closed-loop management, realize medical quality and continue to improve and provide powerful tongs for the hospital.
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The above and other features of the present application will become more apparent from the detailed description of the embodiments thereof given in conjunction with the accompanying drawings, in which like reference characters designate like or similar elements, it is evident that the drawings in the following description are merely examples of the present application, and that other drawings may be obtained from these drawings without inventive effort for a person of ordinary skill in the art, in which
In the figure:
FIG. 1 is a flow chart of a method for supervising and managing medical quality of a hospital;
fig. 2 is a flow chart of a hospital medical quality supervision system.
Detailed Description
The conception, specific structure, and technical effects produced by the present application will be clearly and completely described below with reference to the embodiments and the drawings to fully understand the objects, aspects, and effects of the present application. It should be noted that, without conflict, the embodiments of the present application and features of the embodiments may be combined with each other.
A hospital medical quality supervision system and method according to an embodiment of the present application is described below with reference to fig. 1, the method comprising the steps of:
s100: confirming the supervision direction and supervision department of the medical quality;
s200: according to the supervision period, supervising the medical quality and acquiring medical quality data;
s300: analyzing the medical quality data in each department, and acquiring supervision weights in each department;
s400: determining a hospital supervision value according to the supervision weight;
s500: outputting the supervision result according to the supervision value, and improving the corresponding problem according to the supervision result.
Further, in step S100, according to the quality improvement objective currently formulated in the hospital, three dimensions of the supervision department scope, the organization supervision expert, and the supervision direction are set, and the supervision plan formulation is performed.
Further, in step S200, the supervision expert is mainly entered into the supervision system through a paper table in the supervision process, the problem to be found in the supervision is described in the supervision system, meanwhile, the supervision problem is recorded, the scene is photographed and evidence obtained in the system, the user can make the supervision plan scheme of this time on line, after receiving the supervision task, the supervision expert performs on-line supervision and supervision result entry on the department through a personal mobile phone, the system automatically generates an annual analysis report and a current analysis report through modes such as comparison analysis, scale analysis, duty analysis, trend analysis and the like, and medical quality data is obtained through the annual analysis report and the current analysis report, and the medical quality data is a subjective score value;
the digital structured processing technology is adopted, a three-level management mechanism of a knowledge base is realized through a supervision module, supervision items and supervision list, and supervision items related to each department in a hospital are structured and centrally managed and stored in a database.
Further, in step S300, statistics is performed on the medical quality data submitted by the user in each department, the medical quality data is numbered according to the time sequence of the submitted and the ordering of the departments, the format record of the medical quality data is (Ei, dj), ei is the department with the department label being the ith department, dj is the medical quality data submitted by the j with the medical quality data label, and the supervision weight of each department is obtained according to the following steps:
s301: the medical quality data is constructed into a sequence Qu, and a weight coefficient r of the medical quality data is calculated k ，The (Ei, dj) and (Ei, dj+1) are j and j+1 bit elements of the ith department in the sequence Qu, according to r k Assigning the keywords to obtain subjective weights SUB,/SUB of medical quality data>p is the total element amount of the sequence Qu, and p-1 is the weight coefficient r k Is a total amount of (2);
preferably, the beneficial effect of calculating the subjective weight SUB is: the medical quality data obtained by filling in the users are calculated to obtain the subjective judgment of each item of data in the department among the users, and the subjective factors of the users can be combined in the subsequent calculation;
s302: combining the medical quality data in the sequence Qu with the subjective weight of the medical quality data, calculating to obtain the qualification rate CON of the department, calculating the average number mean (Qu), the maximum value max (Qu) and the minimum value min (Qu) of the sequence Qu,CO is a qualified standard, the sequence Qu is divided into two sequences according to the qualified standard into a qualified sequence D and a disqualified sequence N, if Dj in the sequence Qu is more than or equal to CO, the medical quality data is added into the qualified sequence D, if Dj in the sequence Qu is less than CO, the medical quality data is added into the disqualified sequence N, the quantity of the added qualified sequences D in each department is counted to occupy the ratio Yi,
preferably, the qualification rate CON of the departments is calculated, the qualification rate of each department is calculated, the probability of the problems of each department can be more intuitively reflected through the qualification rate, and the problems can be better examined;
s303: calculating the medical quality data objective weight OBJ of each department by the qualification rate, adding the qualification rate CON into the sequence Qu, constructing a matrix E, inputting the matrix E into a convolutional neural network model, performing deep learning on the model, acquiring the qualification rate of each supervision batch when a supervision system continuously inputs new data, performing incremental learning by the system, finally outputting the matrix E, wherein the rows of the matrix E are elements of the sequence Qu, the columns of the matrix E are the qualification rates CON of the departments,
ln () is a logarithmic function;
s304: finally, the comprehensive weight value is obtained through calculation by the weight value SUB and the weight value OBJ，Obtaining a comprehensive weight value F of a corresponding proportion by carrying out variance calculation on a weight value SUB and a weight value OBJ, wherein F is a function for obtaining the comprehensive weight value, when F reaches a minimum value and the error of the obtained weight value reaches the minimum value, ci in the formula at the moment is the weight value of each medical quality data, the weight value Ci is constructed as a comprehensive weight sequence Z, and a comprehensive weight matrix Z= (C) 1 ，C 2 ，…,C n )。
Further, in step S400, the method for determining the hospital supervision value by the supervision weight is as follows:
s401: storing hospital supervision data in nodes, defining each department as a main node, storing the hospital supervision data in the departments in common nodes, correspondingly setting a node state for each common node, wherein the state is represented as T or F, T represents an access network transmission state, F represents an unconnected state, setting a state initial value of the common node as F, forming a hypergraph G= (V, E) according to the position of a storage node, wherein the vertex set V is the main node, and the hyperedge set E is a transmission path from the common node to the main node;
s402: judging the network state of the node when the node state is T through a hypergraph G= (V, E), acquiring hospital supervision data transmitted in transmission paths of each vertex V and a hyperedge set E in the hypergraph, calculating according to a comprehensive weight matrix Z to acquire a hospital supervision value DCZ,
exp is an exponential function based on a natural constant e, and DCZ (i) is the ith medical quality data.
Further, in step S500, the supervised department may check the supervision result of the department in real time, and according to the feedback problem and opinion of the supervision expert, formulate improvement measures to perform quality improvement, and report the relevant improvement measures and results to the supervision responsible person for verification;
the department supervision plan list is supported to be checked in pages, and query according to the plan name is supported;
support to view the family room supervision feedback problem list and can assign problem follower to specific problems;
supporting the feedback problem of supervision specialists, and enabling a follower to submit improvement measures and evidence materials to supervision responsible persons;
support to look up the grading of the table list of the supervision of the family room and the condition of reaching standards.
Further, a medical quality supervision and administration system for hospitals, the system comprises a supervision and administration system, a supervision and administration server, a supervision and administration background and a supervision and administration data storage system, wherein data acquired by the supervision and administration background can be stored in a memory, the medical supervision and administration system, the supervision and administration server, the supervision and administration background and the supervision and administration data storage system can run a computer program on the supervision and administration system, and the supervision and administration system realizes the steps in any one of the above methods for medical quality supervision and administration for hospitals when executing the computer program.
Action position of each module in the system:
and (5) supervision system: the module is used for carrying out data processing and analysis according to the acquired supervision data;
supervision server: a service platform for submitting supervision data by a user;
supervision backstage: the supervision data are transmitted in a supervision background after being subjected to data processing and analysis in a supervision system;
and checking a data storage system: and storing supervision data.
The supervision system is a processor, and the supervision data storage system is a memory.
The processor may be a central processing unit (Central Processing Unit, CPU), other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), field programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete component gate or transistor logic devices, discrete hardware components, or the like. The general processor may be a microprocessor or any conventional processor, etc., and the processor is a control center of the hospital medical quality supervision and management system, and connects each sub-area of the whole hospital medical quality supervision and management system by using various interfaces and lines.
The memory may be used to store the computer program and/or module, and the processor may implement various functions of the hospital medical quality supervision and administration system by running or executing the computer program and/or module stored in the memory and invoking data stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program (such as a sound playing function, an image playing function, etc.) required for at least one function, and the like; the storage data area may store data (such as audio data, phonebook, etc.) created according to the use of the handset, etc. In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as a hard disk, memory, plug-in hard disk, smart Media Card (SMC), secure Digital (SD) Card, flash Card (Flash Card), at least one disk storage device, flash memory device, or other volatile solid-state storage device.
Although the present application has been described in considerable detail and with particularity with respect to several described embodiments, it is not intended to be limited to any such detail or embodiment or any particular embodiment so as to effectively cover the intended scope of the application. Furthermore, the foregoing description of the application has been presented in its embodiments contemplated by the inventors for the purpose of providing a useful description, and for the purposes of providing a non-essential modification of the application that may not be presently contemplated, may represent an equivalent modification of the application.
Claims (7)
1. A hospital medical quality supervision method, characterized in that the method comprises the following steps:
s100: confirming the supervision direction and supervision department of the medical quality;
s200: according to the supervision period, supervising the medical quality and acquiring medical quality data;
s300: analyzing the medical quality data in each department, and acquiring supervision weights in each department;
s400: determining a hospital supervision value according to the supervision weight;
s500: outputting the supervision result according to the supervision value, and improving the corresponding problem according to the supervision result.
2. The medical quality supervision and management method according to claim 1, wherein in step S100, three dimensions of supervision department scope, organization supervision expert, supervision direction are set according to the quality improvement target currently set by the hospital, and supervision planning is performed.
3. The medical quality supervision and management method of a hospital according to claim 1, wherein in step S200, supervision specialists are mainly input into a supervision system through a paper table in the supervision process, and the problems to be found in supervision are described in the supervision system, meanwhile, supervision problems are recorded, on-site photographing and evidence obtaining are carried out in the system, a user can make a current supervision and management plan scheme on line, after the supervision specialists receive supervision tasks, on-line supervision and supervision result input are carried out on a department through a personal mobile phone, and the system automatically generates annual analysis reports and current analysis reports through modes of comparison analysis, scale analysis, duty ratio analysis, trend analysis and the like, and medical quality data is obtained through the annual analysis reports and the current analysis reports, and the medical quality data is a subjective score;
the digital structured processing technology is adopted, a three-level management mechanism of a knowledge base is realized through a supervision module, supervision items and supervision list, and supervision items related to each department in a hospital are structured and centrally managed and stored in a database.
4. The medical quality supervision and administration method of claim 1, wherein in step S300, medical quality data submitted by users in each department is counted and labeled, and numbering is performed according to the time sequence and department order of the submitted medical quality data, wherein the format of the medical quality data is recorded as (Ei, dj), ei is the department label i, dj is the medical quality data submitted by the j-th department of the medical quality data label, and supervision weights of each department are obtained according to the following steps:
s301: the medical quality data is constructed into a sequence Qu, and a weight coefficient r of the medical quality data is calculated k ，The (Ei, dj) and (Ei, dj+1) are j and j+1 bit elements of the ith department in the sequence Qu, according to r k Assigning the keywords to obtain subjective weights SUB,/SUB of medical quality data>p is the total element amount of the sequence Qu, and p-1 is the weight coefficient r k Is a total amount of (2);
s302: combining the medical quality data in the sequence Qu with the subjective weight of the medical quality data, calculating to obtain the qualification rate CON of the department, calculating the average number mean (Qu), the maximum value max (Qu) and the minimum value min (Qu) of the sequence Qu,CO is a qualified standard, the sequence Qu is divided into two sequences according to the qualified standard into a qualified sequence D and a disqualified sequence N, if Dj in the sequence Qu is more than or equal to CO, the medical quality data is added into the qualified sequence D, if Dj in the sequence Qu is less than CO, the medical quality data is added into the disqualified sequence N, the quantity of the added qualified sequences D in each department is counted to occupy the ratio Yi,
s303: calculating the medical quality data objective weight OBJ of each department by the qualification rate, adding the qualification rate CON into the sequence Qu, constructing a matrix E, inputting the matrix E into a convolutional neural network model, performing deep learning on the model, acquiring the qualification rate of each supervision batch when a supervision system continuously inputs new data, performing incremental learning by the system, finally outputting the matrix E, wherein the rows of the matrix E are elements of the sequence Qu, the columns of the matrix E are the qualification rates CON of the departments,
ln () is a logarithmic function;
s304: finally, the comprehensive weight value is obtained through calculation by the weight value SUB and the weight value OBJ,obtaining a comprehensive weight value F of a corresponding proportion by carrying out variance calculation on a weight value SUB and a weight value OBJ, wherein F is a function for obtaining the comprehensive weight value, when F reaches a minimum value and the error of the obtained weight value reaches the minimum value, ci in the formula at the moment is the weight value of each medical quality data, the weight value Ci is constructed as a comprehensive weight sequence Z, and a comprehensive weight matrix Z= (C) 1 ，C 2 ，…,C n )。
5. The method for supervising hospital medical quality according to claim 1, wherein in step S400, the method for determining the supervising value of the hospital by supervising weight comprises:
s401: storing hospital supervision data in nodes, defining each department as a main node, storing the hospital supervision data in the departments in common nodes, correspondingly setting a node state for each common node, wherein the state is represented as T or F, T represents an access network transmission state, F represents an unconnected state, setting a state initial value of the common node as F, forming a hypergraph G= (V, E) according to the position of a storage node, wherein the vertex set V is the main node, and the hyperedge set E is a transmission path from the common node to the main node;
s402: judging the network state of the node when the node state is T through a hypergraph G= (V, E), acquiring hospital supervision data transmitted in transmission paths of each vertex V and a hyperedge set E in the hypergraph, calculating according to a comprehensive weight matrix Z to acquire a hospital supervision value DCZ,
exp is an exponential function based on a natural constant e, and DCZ (i) is the ith medical quality data.
6. The medical quality supervision and supervision method of a hospital according to claim 1, wherein in step S500, the supervised department can check the supervision result of the department in real time, and according to the supervision expert feedback problem and opinion, develop improvement measures to perform quality improvement, and the related improvement measures and results can be reported to the supervision responsible person to perform verification;
the department supervision plan list is supported to be checked in pages, and query according to the plan name is supported;
support to view the family room supervision feedback problem list and can assign problem follower to specific problems;
supporting the feedback problem of supervision specialists, and enabling a follower to submit improvement measures and evidence materials to supervision responsible persons;
support to look up the grading of the table list of the supervision of the family room and the condition of reaching standards.
7. A medical quality supervision and supervision system for a hospital, the system comprising a supervision system, a supervision server, a supervision background, and a supervision data storage system, wherein data acquired by the supervision server can be stored in a memory, the medical supervision system, the supervision server, the supervision background, and the supervision data storage system can run a computer program on the supervision system, and the supervision system implements the steps in the medical quality supervision and supervision method for a hospital according to any one of claims 1 to 6 when executing the computer program.
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| CN202310825508.4A CN117038028A (en) | 2023-07-06 | 2023-07-06 | Hospital medical quality supervision and management system and method |
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| CN202310825508.4A CN117038028A (en) | 2023-07-06 | 2023-07-06 | Hospital medical quality supervision and management system and method |
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