CN117352152A - Assessment method of comprehensive evaluation index system for hospital discipline construction - Google Patents
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Abstract
The invention relates to the technical field of medical management science, in particular to an evaluation method of a comprehensive evaluation index system for hospital discipline construction. The method combines the number of department consultants, the number of department medical personnel, the number of personnel ports in the area and the department budget of each hospital to determine the supply and demand relationship degree coefficient of the department in the area; determining department discipline construction parameters of the department according to the department diagnosis cost and the number of the department diagnosis persons; determining department diagnosis and treatment influence parameters of each department in the area according to the supply-demand relation degree coefficient and the number of patients in the departments; and determining the hospital discipline construction parameters of each hospital by combining the department diagnosis and treatment influence parameters, the department discipline construction parameters and the scores of the departments under the condition of the existing scoring standard of each hospital. According to the invention, the current department development condition is evaluated by combining the supply and demand relation of the medical resources in the region, so that the objectivity of the evaluation in the local region is improved.
Description
Technical Field
The invention relates to the technical field of medical management science, in particular to an evaluation method of a comprehensive evaluation index system for hospital discipline construction.
Background
The comprehensive evaluation of the hospital disciplines is an important means for measuring the comprehensive examples of the hospitals and the development level of the disciplines, and a set of relatively perfect comprehensive evaluation system for the construction of the hospital disciplines is formed at home and abroad at present, and generally relates to evaluation indexes in multiple aspects, such as diagnosis and treatment technology, scientific research capability, talent culture and the like. The development level of the hospital depends on the subject construction to a great extent, and the subject construction is not separated from the subject evaluation, so that the comprehensive evaluation of each subject can provide a reference standard for the development of the subject of the hospital and pertinently promote the treatment satisfaction of the patient.
In recent years, the comprehensive evaluation of hospital discipline construction gradually changes from traditional manual evaluation to informationized evaluation, but as a set of general index system and evaluation standard are not formed at present, each hospital usually establishes a set of evaluation index system aiming at the hospital, and then various kinds of important discipline evaluation at each level possibly have certain subjectivity, and the requirements of the current health administration on developing comprehensive capability evaluation and objective ranking of special disciplines of medical institutions cannot be met. Therefore, on the premise that a unified evaluation index system cannot be obtained, the method for evaluating the subject construction evaluation index system has important practical significance.
At present, the comprehensive evaluation method for the hospital discipline construction is to analyze indexes such as talents, academic wilt, talent culture and the like of the army in each department of the hospital, so that the total evaluation of the hospital is realized. However, the medical resource conditions in the local area and the medical treatment conditions are not considered when the medical science construction of the hospital is comprehensively evaluated.
Disclosure of Invention
In order to solve the technical problems that the medical treatment condition and the medical resource condition in the local area are not considered when the comprehensive evaluation is carried out on the hospital discipline construction at present, the invention aims to provide an evaluation method of a comprehensive evaluation index system for the hospital discipline construction, and the adopted technical scheme is as follows:
acquiring the number of department consultants, the department budget, the department consultation cost and the number of department medical staff of each department of each hospital;
combining the number of the consultation persons of the departments of each hospital and the number of the persons in the area, and determining the demand degree value of each department of each hospital in the area; determining a supply degree value of the department in the region by combining the number of medical staff of the department, the number of people in the region and the budget of the department; determining a supply-demand relationship degree coefficient by combining a demand degree value and a supply degree value of a department;
determining department discipline construction parameters of the department according to the department diagnosis cost and the number of the department diagnosis persons;
determining department diagnosis and treatment influence parameters of each department in the area according to the supply-demand relation degree coefficient and the occupation ratio of the number of patients in each department in the area of each hospital;
and determining the hospital discipline construction parameters of each hospital by combining the department diagnosis and treatment influence parameters, the department discipline construction parameters and the scores of the departments under the condition of the existing scoring standard of each hospital.
Preferably, the calculation formula of the demand level value is:
wherein,is a demand level value; norm is normalization; />The number of people in the area to which the hospital belongs; />The number of people mouth in the region which is the ith region around; />Is the number of surrounding areas; />The number of patients in the department of the current department of the hospital; />Is the total number of patients in the hospital.
Preferably, the calculation formula of the supply degree value is:
wherein,is a supply degree value; />Is a normalization function; />The number of medical staff for department of hospitals; />The number of people in the area; />Average the number of medical staff in the department per thousand people in China; />Budgeting for departments; />The average value of the budget of the department in each domestic area is obtained.
Preferably, the determining the supply-demand relationship degree coefficient by combining the demand degree value and the supply degree value of the department includes:
and taking the ratio of the supply degree value and the demand degree value of the department as a supply-demand relationship degree coefficient.
Preferably, the calculation formula of the department subject construction parameters of the department is:
wherein,parameters are established for scientific subjects of departments; />As a hyperbolic tangent function; />The total treatment expense of the department; />The number of patients in the department is the number of patients in the department; />Total visit expense for other ith departments; />The number of patients in the department of the ith department is the number of patients in the department of the other ith department; />Is the number of departments other than the current department in the hospital.
Preferably, the calculation formula of the department diagnosis and treatment influence parameters is as follows:
wherein,the parameters are affected by diagnosis and treatment in departments; e is a natural constant; a is a supply-demand relation degree coefficient; />Is the number of hospitals in an area; />The number of patients in the department of the current department of the ith hospital in the area; />The total number of the patients in the current department of each hospital in the area; norm is a normalization function; />Is a logarithmic function with a base of 2.
Preferably, the calculation formula of the hospital discipline construction parameters of the hospital is as follows:
wherein Q is a hospital discipline construction parameter of a hospital;the diagnosis and treatment influence parameters of the department of the b-th department in the hospital; />Establishing parameters for the scientific subjects of the b-th department in the hospital; />Scoring the b-th department under the existing scoring criteria; />Scoring a standard in the case of an existing scoring standard; n+1 is the number of departments in the hospital.
Preferably, the score obtaining method of the department under the condition of the existing score standard comprises the following steps:
and scoring the departments of each hospital based on the existing subject scoring standard by using the neural network to obtain the scores of the departments under the condition of the existing scoring standard.
Preferably, the method for obtaining the standard score under the condition of the existing scoring standard comprises the following steps: and obtaining all average data of corresponding departments in the current area by using the big data, scoring the corresponding departments in the area based on the existing discipline scoring standard by using the neural network, and obtaining the score of each department as a standard score.
Preferably, the department consultation number, the department budget, the department consultation cost and the number of department medical staff of each department of each hospital are obtained through big data.
The embodiment of the invention has at least the following beneficial effects:
the invention relates to the technical field of medical management science. The method comprises the steps of firstly, determining the supply and demand relation degree coefficient of departments in the areas by combining the number of consultants in departments, the number of medical staff in the departments, the number of people in the areas and the budget of the departments in each hospital, wherein the purpose of determining an evaluation index system is to strengthen the medical service capability so as to achieve sustainable healthy development, and providing higher-quality medical resources on the basis of meeting the supply and demand relation of local medical conditions; determining department discipline construction parameters of the department according to the department diagnosis cost and the number of the department diagnosis persons; according to the supply-demand relation degree coefficient and the proportion of the number of patients in each department in the area of each hospital, determining the diagnosis and treatment influence parameters of each department in the area, and carrying out corresponding resource allocation and adjustment on the diagnosis and treatment influence parameters of each department through the diagnosis and treatment influence parameters of each department, wherein the smaller the supply-demand relation coefficient corresponding to the current department is, the more deficient the corresponding medical resources in the current area are, at the moment, the more urgent the development needs of the department are, the larger the comprehensive evaluation of the current department as the parameters in the process of calculating the subject construction is, so that the diagnosis and treatment influence parameters can be determined by combining the supply-demand relation degree coefficient and the number of patients in the department; and determining the hospital discipline construction parameters of each hospital by combining the department diagnosis and treatment influence parameters, the department discipline construction parameters and the scores of the departments under the condition of the existing scoring standard, and adjusting the scores by taking the department diagnosis and treatment influence parameters and the department discipline construction parameters as the adjustment weights of the scores under the condition of the existing scoring standard to realize the adjustment of the scores by combining the local diagnosis and treatment condition. According to the method for evaluating the subject development parameters, the current department development condition is evaluated by combining the supply and demand relation of the medical resources in the region, compared with the existing method, the objectivity of the evaluation in the local region is improved, and the method has reference when the hospital is selected and evaluated.
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In order to more clearly illustrate the embodiments of the invention or the technical solutions and advantages of the prior art, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are only some embodiments of the invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a method for evaluating a comprehensive evaluation index system for hospital discipline construction according to an embodiment of the present invention.
Detailed Description
In order to further describe the technical means and effects adopted by the present invention to achieve the preset purposes, the following detailed description refers to the specific implementation, structure, characteristics and effects of an evaluation method for a comprehensive evaluation index system for hospital discipline construction according to the present invention, with reference to the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" means that the embodiments are not necessarily the same. Furthermore, the particular features, structures, or characteristics of one or more embodiments may be combined in any suitable manner.
Unless defined otherwise, 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 invention belongs.
The embodiment of the invention provides a specific implementation method of an evaluation method of a comprehensive evaluation index system for hospital discipline construction, which is suitable for a comprehensive evaluation scene of hospital discipline construction. When the comprehensive evaluation of the subject construction is carried out in the hospital, the literature of relevant evaluation indexes and methods at home and abroad is combined, and then a set of subject evaluation standards suitable for the hospital are revised by combining with subject management experience, so that the evaluation is generally subjective and has no great reference value when the evaluation is carried out in the regional health department. It is therefore desirable to devise a method of assessing hospital discipline construction using objective data to ensure that current discipline assessment criteria can play a guiding role in the development of hospital construction. Therefore, the technical problems that the condition of the doctor and the condition of medical resources in the local area are not considered when the medical department construction of the hospital is comprehensively evaluated at present are solved. According to the invention, the current department development condition is evaluated by combining the supply and demand relation of the medical resources in the region, so that the objectivity of the evaluation in the local region is improved.
The following specifically describes a specific scheme of an evaluation method of a comprehensive evaluation index system for hospital discipline construction, which is provided by the invention, with reference to the accompanying drawings.
Referring to fig. 1, a flowchart of a method for evaluating a comprehensive evaluation index system for hospital discipline construction according to an embodiment of the present invention is shown, where the method includes the following steps:
step S100, obtaining the department doctor number, the department budget, the department doctor cost and the department medical staff number of each department of each hospital.
The required data should cover the data requirement of the existing evaluation method, and meanwhile, the department consultation number, the department budget, the department consultation cost, the department medical personnel number and the like of each department in the evaluation period are required, and the department consultation number, the department budget, the department consultation cost, the department medical personnel number and the like of each department in other hospitals are obtained through big data. Namely, the method is directly and briefly used for acquiring the number of department consultants, the department budget, the department consultation cost and the number of department medical staff of each department of each hospital through big data.
Step S200, combining the number of consultants in departments of each hospital and the number of people in the area, and determining the demand degree value of each department of each hospital in the area; determining a supply degree value of the department in the region by combining the number of medical staff of the department, the number of people in the region and the budget of the department; and determining a supply-demand relationship degree coefficient by combining the demand degree value and the supply degree value of the department.
And (3) analyzing the data obtained in the step (S100), and then combining the existing evaluation method to obtain the self-adaptive discipline construction evaluation method. The development condition and life custom of different areas of the hospital are different, the incidence rate of partial diseases is different, the department corresponding to the disease with higher local incidence rate should be mainly cultivated, and the scientific evaluation should be relatively focused.
Therefore, further, the process of the method for obtaining the optimization discipline construction evaluation comprises the following steps: and determining the supply and demand relation degree coefficient of the medical service in the current region by combining the related medical data in the same region. And calculating parameters of each department in calculating the subject evaluation index by combining the supply and demand relation degree coefficient and the current development condition of the hospital. And evaluating the hospital discipline construction condition by combining the existing department scoring standard and the obtained influence parameters.
First, the supply and demand relation degree coefficient of the medical service in the current region is determined by combining the related medical data in the contract region.
Whether the evaluation index system is established perfectly and reasonably is evaluated, firstly, the purpose of the evaluation index system is to strengthen the medical service capability so as to achieve sustainable healthy development, and higher-quality medical resources are provided on the basis of meeting the supply and demand relationship of local medical conditions. The purpose of this step is to determine the current regional medical service supply and demand relationship degree coefficient through the data in the region.
For areas with more population than peripheral areas, the number of patients is relatively more in statistics, the general population and the economic development of the areas with more population are relatively better, the talents are attractive relatively higher, the medical resources are relatively rich, and the patients in the peripheral areas can seek medical services in the areas, so that the demand of the current areas for medical services is relatively higher; besides the total number of people, the number of times of the consultation in the evaluation index time period can also reflect the demand degree of the current department to a certain extent, and if the current department occupies a relatively high proportion in the total number of times of the consultation in the local area, the situation that the local area is likely to exist in the current department consultation range is indicated, and the medical service demands of the departments corresponding to the local predisposition are correspondingly higher. In summary, the demand degree coefficient of the current department in the local area can be calculated from the overall situation of the area and the number of times of the current department consultants through the two points.
Combining the number of the departments in each hospital and the number of the people in the area, determining the demand degree value of each department in each hospital in the area, wherein the calculation formula of the demand degree value is as follows:
wherein,is a demand level value; norm is normalization; />The number of people in the area to which the hospital belongs; />The number of people mouth in the region which is the ith region around; />Is the number of surrounding areas; />The number of patients in the department of the current department of the hospital; />Is the total number of patients in the hospital.
Wherein,comparing the ratio of the population of the area to the population of the surrounding area; />Average ratio of population of the area to population of the surrounding area, ratio +.>The larger the demand for medical services in the current region is relatively high. />The ratio of the current department visit times is calculated, the higher the value is, the higher the relative medical requirement of the current department in the region is, and then the medical requirement of the department is multiplied by the medical duration of the population in the region to obtain the integral requirement degree value of the region.
After obtaining the demand level value of each department of each hospital in the area, it is also necessary to analyze and obtain a level coefficient concerning the medical service supply section. Similar to the demand level value, the supply level value should also be calculated from a macroscopic perspective throughout the region, with the supply portion being represented primarily by quantifying medical resources. The medical resources of each department of each hospital in the area are mainly embodied in aspects of medical manpower resources, medical financial resources and the like. The medical human resources are represented by comparing domestic average level differences, and the ratio of the number of medical staff in the region to the number of the population can represent the medical service supply level in the region to a certain extent; the medical financial resources are represented by the relationship between the total budget of the medical institution and the domestic average level.
Determining a supply degree value of the department in the region by combining the number of medical staff of the department, the number of people in the region and the budget of the department; and determining a supply-demand relationship degree coefficient by combining the demand degree value and the supply degree value of the department.
The calculation formula of the supply-demand relation degree coefficient is as follows:
wherein,is a supply degree value; />Is a normalization function; />The number of medical staff for department of hospitals; />The number of people in the area; />Average the number of medical staff in the department per thousand people in China; />Budgeting for departments; />The average value of the budget of the department in each domestic area is obtained.
The supply aspect is compared with the domestic average level, then the human resources and the financial resources are added, and the sum result is used as the supply degree coefficient of the medical service in the region. Human resources and financial resources of the current department are in direct proportion to the supply-demand relationship degree coefficient.
And finally, combining the demand degree value and the supply degree value of the department, and determining the supply-demand relation degree coefficient as follows: and taking the ratio of the supply degree value and the demand degree value of the department as a supply-demand relationship degree coefficient. Since the supply degree value and the demand degree value are degree values calculated according to objective data, the supply-demand relationship degree coefficient can be further calculated by a direct ratio-finding method.
Step S300, determining department subject construction parameters of the department according to the department treatment expense and the number of the patients in the department.
Further, the parameters of each department in calculating the subject evaluation index are calculated by combining the supply and demand relation degree coefficient and the current development condition of the hospital.
The complete subject evaluation index system can be used for evaluating the development condition of medical tasks and departments in the hospital in the medical service supply and demand relationship of subjects in the local area, and after the evaluation index is obtained, the institutions adjust the subsequent development direction by carrying out corresponding resource allocation on the evaluation index. Step S200 obtains the medical service supply and demand relation degree coefficient of the local area, and the step evaluates the current evaluation index system by combining the actual development condition and the supply and demand degree coefficient of each department in the hospital.
For patients, the hospital after the illness can choose the hospital with convenient transportation and better treatment public praise as much as possible for medical treatment, and the hospital with convenient transportation and better treatment public praise can reflect the financial budget condition and the diagnosis and treatment level condition of the hospital, so that the development condition of each department of the current hospital can be represented by the times of the medical treatment of each department hospital. In addition, the higher the average diagnosis and treatment cost of the department is, the more complicated the treatment process of the patient is, the more the number of patients is, the relatively better the diagnosis and treatment level of the current department is, and the larger the forward difference between the current department and other departments is, the more the hospital has a certain pertinence to the subject construction. Then when evaluating the current hospital discipline construction, the targeted disciplines should be given a higher weight to accurately represent the current hospital discipline construction level.
Determining department subject construction parameters of the department according to the department treatment expense and the number of the patients in the department, wherein the calculation formula of the department subject construction parameters of the department is as follows:
wherein,parameters are established for scientific subjects of departments; />As a hyperbolic tangent function; />The total treatment expense of the department; />The number of patients in the department is the number of patients in the department; />Total visit expense for other ith departments; />The number of patients in the department of the ith department is the number of patients in the department of the other ith department; />Is the number of departments other than the current department in the hospital.
Wherein,representing the average consultation cost of the current department; />Representing the expense of the average treatment of other ith departments; />Representing the difference of the average treatment cost of the current department and other departments, showing the difference of the complexity of the treatment process to a certain extent, and then obtaining the average value of the difference of the current department and the other departments, namely +_>The larger this value, the higher the relative treatment complexity of the current department in the hospital. />Calculating the difference between the number of patients in the current department and the number of patients in other departments, and then solving the difference value to be equal, < + >>The larger the value, the greater the relative number of patients currently diagnosed in the hospital by the department. And then limiting the value range to (0, 1) by combining the two average values with the tanh function, and multiplying the data value about the treatment complexity degree by the data value about the number of patients in the department to represent the diagnosis and treatment level parameter of the current department.
Step S400, determining department diagnosis and treatment influence parameters of each department in the area according to the supply-demand relation degree coefficient and the occupation ratio of the number of patients in each department in the area of each hospital.
After the relative diagnosis and treatment level in the hospital is obtained, the influence of other medical resources in the area on the medical treatment level is not considered, and the comprehensive evaluation of the hospital discipline construction by directly taking the medical treatment source as a parameter is too subjective, so that the medical service supply and demand relation coefficient of the local area is also required to be combined for adjustment. The smaller the supply and demand relation coefficient corresponding to the current department is, the lack of corresponding medical resources in the current region is indicated, and the development needs of the department are urgent, so that the larger the current department is used as a parameter in the comprehensive evaluation in the process of calculating the subject construction. In addition, when comparing with other hospitals in the current region, if the diagnosis and treatment times of the department in each hospital are relatively average, the diagnosis and treatment effect of each hospital is relatively close, in order to promote the development of the subject construction among the hospitals, the parameters of the department should be relatively large when calculated, and in conclusion, the diagnosis and treatment influence parameters of the department in the local region can be obtained.
The calculation formula of the clinical department diagnosis and treatment influence parameters is as follows:
wherein,the parameters are affected by diagnosis and treatment in departments; e is a natural constant; a is a supply-demand relation degree coefficient; />Is the number of hospitals in an area; />The number of patients in the department of the current department of the ith hospital in the area; />The total number of the patients in the current department of each hospital in the area; norm is a normalization function. In the embodiment of the invention, all normalization functions adopt linear normalization functions, and in other embodiments, the normalization functions can be adjusted by an implementer according to actual conditions; />Is a logarithmic function with a base of 2.
In the calculation formula of the diagnosis and treatment influence parameters of the department, the purpose of inverse proportion normalization is realized through an exponential function taking a natural constant as a base number.The distribution condition of the diagnosis and treatment times of each hospital about the department in the region is calculated in the form of information entropy, and the larger the value is, the relatively close diagnosis and treatment effect among the hospitals is reflected, and the larger the diagnosis and treatment influence parameters of the department are.
Step S500, combining the department diagnosis and treatment influence parameters, the department discipline construction parameters and the scores of the departments under the condition of the existing scoring standard of all departments in each hospital, and determining the hospital discipline construction parameters of each hospital.
After determining the department discipline construction parameters of each department of the hospital, the hospital discipline construction condition is evaluated by combining the existing department scoring criteria and the influence parameters obtained in step S400.
The current department of the hospital is scored by using the prior subject scoring standard, and the scoring standard has scientificity and operability, can realize the longitudinal comparison of the subject construction level in the region, and is beneficial to the transverse evaluation ranking of different subjects in the hospital. In the embodiment of the invention, the departments are scored through the comprehensive evaluation index and the scoring standard of the subject construction of the affiliated hospital of Jining medical college, and the departments are scored by using a neural network automatic scoring mode in combination with a plurality of data such as the daily average clinic quantity, the outpatient service average cost increment, the CMI value and the like. That is, the neural network is utilized to score the departments of each hospital based on the existing subject scoring standard, so as to obtain the scores of the departments under the existing scoring standard.
And then acquiring various average data of corresponding departments in the current area by using the big data, and scoring the corresponding departments in the area based on the existing subject scoring standard by using the neural network to obtain the score of each department as a standard score.
And evaluating the hospital discipline construction parameters of the hospital by comparing the difference between the scores of the departments and the standard scores and combining the diagnosis and treatment influence parameters of the departments and the discipline construction parameters of the departments.
The calculation formula of the hospital discipline construction parameters is as follows:
wherein Q is a hospital discipline construction parameter of a hospital;the diagnosis and treatment influence parameters of the department of the b-th department in the hospital; />Establishing parameters for the scientific subjects of the b-th department in the hospital; />Scoring the b-th department under the existing scoring criteria; />Scoring a standard in the case of an existing scoring standard; n+1 is the number of departments in the hospital.
The method comprises the steps of multiplying two parameters, namely a diagnosis and treatment influence parameter of a department and a scientific discipline construction parameter, and then calculating the weight of the hospital discipline construction evaluation as a department score;the larger the value is, the more perfect the current department subject construction condition is, then the weight value is multiplied and summed to obtain the estimated hospital subject construction index.
In summary, the present invention relates to the technical field of medical management science. Firstly, acquiring the number of department consultants, the budget of the department, the cost of the department consultation and the number of medical staff of the department in each department of each hospital; combining the number of the consultation persons of the departments of each hospital and the number of the persons in the area, and determining the demand degree value of each department of each hospital in the area; determining a supply degree value of the department in the region by combining the number of medical staff of the department, the number of people in the region and the budget of the department; determining a supply-demand relationship degree coefficient by combining a demand degree value and a supply degree value of a department; determining department discipline construction parameters of the department according to the department diagnosis cost and the number of the department diagnosis persons; determining department diagnosis and treatment influence parameters of each department in the area according to the supply-demand relation degree coefficient and the occupation ratio of the number of patients in each department in the area of each hospital; and determining the hospital discipline construction parameters of each hospital by combining the department diagnosis and treatment influence parameters, the department discipline construction parameters and the scores of the departments under the condition of the existing scoring standard of each hospital. According to the method for evaluating the subject development parameters, the current department development condition is evaluated by combining the supply and demand relation of the medical resources in the region, compared with the existing method, the objectivity of the evaluation in the local region is improved, and the method has reference when the hospital is selected and evaluated.
It should be noted that: the sequence of the embodiments of the present invention is only for description, and does not represent the advantages and disadvantages of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments.
Claims (10)
1. The assessment method of the comprehensive evaluation index system for the hospital discipline construction is characterized by comprising the following steps of:
acquiring the number of department consultants, the department budget, the department consultation cost and the number of department medical staff of each department of each hospital;
combining the number of the consultation persons of the departments of each hospital and the number of the persons in the area, and determining the demand degree value of each department of each hospital in the area; determining a supply degree value of the department in the region by combining the number of medical staff of the department, the number of people in the region and the budget of the department; determining a supply-demand relationship degree coefficient by combining a demand degree value and a supply degree value of a department;
determining department discipline construction parameters of the department according to the department diagnosis cost and the number of the department diagnosis persons;
determining department diagnosis and treatment influence parameters of each department in the area according to the supply-demand relation degree coefficient and the occupation ratio of the number of patients in each department in the area of each hospital;
and determining the hospital discipline construction parameters of each hospital by combining the department diagnosis and treatment influence parameters, the department discipline construction parameters and the scores of the departments under the condition of the existing scoring standard of each hospital.
2. The method for evaluating a comprehensive evaluation index system for hospital discipline construction according to claim 1, wherein the calculation formula of the demand level value is:
wherein,is a demand level value; norm is normalization; />The number of people in the area to which the hospital belongs; />The number of people mouth in the region which is the ith region around; />Is the number of surrounding areas; />The number of patients in the department of the current department of the hospital;is the total number of patients in the hospital.
3. The evaluation method of a comprehensive evaluation index system for hospital discipline construction according to claim 1, wherein the calculation formula of the supply degree value is:
wherein,is a supply degree value; />Is a normalization function; />The number of medical staff for department of hospitals; />The number of people in the area; />For average thousands of people in ChinaThe number of department medical personnel in the room; />Budgeting for departments; />The average value of the budget of the department in each domestic area is obtained.
4. The method for evaluating a comprehensive evaluation index system for hospital discipline construction according to claim 1, wherein the determining a supply-demand relationship degree coefficient by combining a demand degree value and a supply degree value of a department comprises:
and taking the ratio of the supply degree value and the demand degree value of the department as a supply-demand relationship degree coefficient.
5. The method for evaluating a comprehensive evaluation index system for hospital discipline construction according to claim 1, wherein the calculation formula of the discipline construction parameters of the department is:
wherein,parameters are established for scientific subjects of departments; />As a hyperbolic tangent function; />The total treatment expense of the department;the number of patients in the department is the number of patients in the department; />Total visit expense for other ith departments; />The number of patients in the department of the ith department is the number of patients in the department of the other ith department; />Is the number of departments other than the current department in the hospital.
6. The method for evaluating a comprehensive evaluation index system for hospital discipline construction according to claim 1, wherein the calculation formula of the clinical laboratory diagnosis and treatment influence parameters is as follows:
wherein,the parameters are affected by diagnosis and treatment in departments; e is a natural constant; a is a supply-demand relation degree coefficient; />Is the number of hospitals in an area; />The number of patients in the department of the current department of the ith hospital in the area; />The total number of the patients in the current department of each hospital in the area; norm is a normalization function; />Is a logarithmic function with a base of 2.
7. The method for evaluating a comprehensive evaluation index system for hospital discipline construction according to claim 1, wherein the calculation formula of the hospital discipline construction parameters of the hospital is:
wherein Q is a hospital discipline construction parameter of a hospital;the diagnosis and treatment influence parameters of the department of the b-th department in the hospital; />Establishing parameters for the scientific subjects of the b-th department in the hospital; />Scoring the b-th department under the existing scoring criteria;scoring a standard in the case of an existing scoring standard; n+1 is the number of departments in the hospital.
8. The assessment method of a comprehensive evaluation index system for hospital discipline construction according to claim 1, wherein the score of the department under the condition of the existing score standard is obtained by the following steps:
and scoring the departments of each hospital based on the existing subject scoring standard by using the neural network to obtain the scores of the departments under the condition of the existing scoring standard.
9. The method for evaluating a comprehensive evaluation index system for hospital discipline construction according to claim 7, wherein the method for obtaining standard scores under the existing scoring standard condition is as follows: and obtaining all average data of corresponding departments in the current area by using the big data, scoring the corresponding departments in the area based on the existing discipline scoring standard by using the neural network, and obtaining the score of each department as a standard score.
10. The evaluation method of a comprehensive evaluation index system for hospital discipline construction according to claim 1, wherein the number of department visits, the budget of the department, the cost of department visits and the number of department medical staff in each department of each hospital are obtained through big data.
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106777921A (en) * | 2016-11-29 | 2017-05-31 | 成都中医药大学 | The constructing system and method for a kind of three tree net evaluation models based on traditional Chinese medical science big data |
| CN109360635A (en) * | 2018-09-28 | 2019-02-19 | 成都厚立信息技术有限公司 | The method of regional hospital and disciplines ranking based on disease risks adjustment |
| CN109784645A (en) * | 2018-12-14 | 2019-05-21 | 平安医疗健康管理股份有限公司 | A kind of hospital department performance arrangement method and device |
| CN110533273A (en) * | 2019-05-28 | 2019-12-03 | 自然资源部四川基础地理信息中心 | Medical institutions' performance classification evaluation method based on the medical geographical big data of patient |
| WO2022134650A1 (en) * | 2020-12-24 | 2022-06-30 | 南方科技大学 | Hospital outpatient planning method and apparatus, and device and storage medium |
| CN115359884A (en) * | 2022-08-04 | 2022-11-18 | 武汉威尔莱博科技有限公司 | Intelligent assessment method for medical subject construction |
| CN115588489A (en) * | 2022-09-07 | 2023-01-10 | 安徽美蝶软件科技有限公司 | Hospital department operation risk management system |
| CN116468300A (en) * | 2022-10-09 | 2023-07-21 | 中国人民解放军海军军医大学 | Army general hospital discipline assessment method and system based on neural network |
-
2023
- 2023-12-06 CN CN202311657327.1A patent/CN117352152B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106777921A (en) * | 2016-11-29 | 2017-05-31 | 成都中医药大学 | The constructing system and method for a kind of three tree net evaluation models based on traditional Chinese medical science big data |
| CN109360635A (en) * | 2018-09-28 | 2019-02-19 | 成都厚立信息技术有限公司 | The method of regional hospital and disciplines ranking based on disease risks adjustment |
| CN109784645A (en) * | 2018-12-14 | 2019-05-21 | 平安医疗健康管理股份有限公司 | A kind of hospital department performance arrangement method and device |
| CN110533273A (en) * | 2019-05-28 | 2019-12-03 | 自然资源部四川基础地理信息中心 | Medical institutions' performance classification evaluation method based on the medical geographical big data of patient |
| WO2022134650A1 (en) * | 2020-12-24 | 2022-06-30 | 南方科技大学 | Hospital outpatient planning method and apparatus, and device and storage medium |
| CN115359884A (en) * | 2022-08-04 | 2022-11-18 | 武汉威尔莱博科技有限公司 | Intelligent assessment method for medical subject construction |
| CN115588489A (en) * | 2022-09-07 | 2023-01-10 | 安徽美蝶软件科技有限公司 | Hospital department operation risk management system |
| CN116468300A (en) * | 2022-10-09 | 2023-07-21 | 中国人民解放军海军军医大学 | Army general hospital discipline assessment method and system based on neural network |
Non-Patent Citations (2)
| Title |
|---|
| 周海龙;田源;封卫征;汤洁;钱丽静;徐菲;朱晓玲;厉海洋;金莉莎;周艳丽;: "基于DRGs的综合性医院科室及专业组医疗服务绩效评价研究", 中国病案, no. 01, pages 71 - 75 * |
| 张艳红;李小莹;冀冰心;仇叶龙;王欣;: "学科建设中医疗工作评估模式探讨", 中国病案, no. 12, pages 45 - 47 * |
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