Intelligent hospital information operation system and operation data processing method
By analyzing the historical motivation and service relationships of each department of the hospital and reasonably sharing indirect costs, the problem of distortion of department cost sharing in traditional methods is solved, and the accurate grasp of the operating costs of each department and the improvement of resource utilization efficiency is achieved.
Patent Information
- Application Number
- CN202510864608.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-06-26
- Publication Date
- 2025-08-01
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The traditional hospital department cost accounting method fails to consider the differences in resource consumption and service processes between departments, resulting in distortion of cost sharing results and cannot truly reflect the operating conditions of each department.
By analyzing the historical motives of each department of the hospital, the degree of impact of each motive in each department on various indirect costs is obtained, combined with the service relationship between departments and the patient's visit time, and using unique methods such as the degree of change, degree of impact and allocation coefficient to reasonably allocate indirect costs.
It has achieved an accurate grasp of the real operating costs of each department, improved resource utilization efficiency, and ensured the fairness and accuracy of cost sharing.
Smart Images
Figure CN120412948A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of data analysis technology, and in particular to a smart hospital information operation system and an operation data processing method. Background Art
[0002] The smart hospital operation system is an upgrade of the hospital's information construction, and it is also the only way for hospital management to transform from experience-driven to data-driven. Through refined and real-time cost allocation and analysis, hospitals can significantly improve cost transparency and operational efficiency, providing strong support for clinical decision-making and performance management. Therefore, by building a smart hospital operation system to connect with multiple source systems such as HIS, HRP, electronic medical records, and financial management, manual calculation errors can be eliminated, thereby mastering the true operating costs of each department and improving resource utilization efficiency.
[0003] In addition to direct medical service costs, hospitals also generate a large amount of indirect costs that are difficult to directly allocate during their operations, such as public energy costs, administrative and logistical costs, etc., which have a significant impact on the overall expenditure of the hospital. In order to accurately grasp the true operating costs of each department and improve resource utilization efficiency, it is necessary to reasonably allocate the various indirect costs generated during the operation of the hospital to ensure that the indirect costs allocated to each department can represent the actual resources consumed by each department; however, traditional hospital department cost accounting mostly adopts a simple allocation method based on bed days, outpatient visits or total department costs, while ignoring the differences in resource consumption and service processes among departments, which often leads to distorted cost estimates and an inability to truly reflect the operating conditions of each department. Summary of the Invention
[0004] The present invention provides a smart hospital information operation system and an operation data processing method to solve the existing problem: the traditional hospital department cost accounting method does not take into account the differences in resource consumption and service processes between departments, resulting in the inability to reflect the cost allocation results of each department.
[0005] The present invention provides a method for processing operation data of a smart hospital information operation system, the method comprising the following steps: The following steps are involved: Preset a historical reference range, record each month within the historical reference range as a reference month, obtain the indirect costs in the current month and all reference months, as well as the driver parameters of all drivers in each department, the patients treated, and the time of the patients' first visit; Based on the changes in the driver parameters within each department in different reference months, the unique degree of change within each department in all reference months is obtained; combined with the changes in various indirect costs in all reference months, the degree of influence of each driver on various indirect costs in each department is obtained, and then the primary indirect costs of each department in the current month are obtained; The motivation parameters of each motivation within each department in each reference month are corrected by the number of common diagnosed patients in different departments in each reference month. Combining the influence degree of each motivation within each department on various indirect costs, the sharing degree of each department for various indirect costs is obtained. Combining the initial visit time of the diagnosed patients in the current month, the sharing coefficient of each department for sharing various indirect costs to other departments is obtained. According to the sharing coefficient of each department for sharing various indirect costs to other departments, the primary indirect costs of each department in the current month are shared to obtain the indirect costs of each department in the current month.
[0006] Preferably, the specific method for obtaining the unique change degree within each department in all reference months according to the change of motivation parameters within each department in different reference months includes: According to the motivation parameters of each motivation within all departments in all reference months, combining the indirect costs of all reference months, the unique change degree of the motivation parameters of each motivation within all departments in each reference month is obtained. The specific calculation formula is: In the formula, represents the unique change degree of the motivation parameter of the th motivation within the th department in the th reference month; represents the number of departments; represents the th motivation quantity within the th department; represents the motivation parameter of the th motivation within the th department in the th reference month; represents the average value of the motivation parameters of the th motivation within the represents the th reference month; represents the th motivation within the represents the average value of the motivation parameters of the th motivation within the th department in all reference months; represents the absolute value function.
[0007] Preferably, the specific method for obtaining the influence degree of each motivation within each department on various indirect costs includes: For the motivation parameter of the th motivation within the th department and the The item of indirect cost, according to the unique change degree of the driver parameter of the th driver in the th department in all reference months, combined with the th item of indirect cost in all reference months, obtain the influence degree of the th driver in the th department on the th item of indirect cost. Its specific calculation formula is: In the formula, represents the influence degree of the th driver in the th department on the th item of indirect cost; represents the number of reference months; The unique change degree of the driver parameter of the th driver in the th department in the th reference month; represents the driver parameter of the th driver in the th department in the th reference month; represents the average value of the driver parameters of the th driver in the th department in all reference months; represents the th item of indirect cost in the th reference month; represents the average value of the th item of indirect cost in all reference months; represents the standard deviation of the driver parameters of the th driver in the th department in all reference months; represents the standard deviation of the th item of indirect cost in all reference months.
[0008] Preferably, the specific method for obtaining each item of primary indirect cost in each department in the current month includes: For the th department in the current month, according to the influence degree of each driver in all departments on the th item of indirect cost in the current month, combined with the th item of indirect cost in the current month, obtain the th item of primary indirect cost in the th department in the current month. Its specific calculation formula is: In the formula, Indicates the th primary indirect cost of the th department in the current month; Indicates the th indirect cost in the current month; Indicates the number of departments; Indicates the number of drivers in the th department; Indicates the th department; th driver in the th department on the th indirect cost; Indicates the th department; th driver in the th department on the Indicates the th department; th driver parameter in the current month; Indicates the th department; th driver parameter in the current month.
[0009] Preferably, the method for correcting the driver parameter of each driver in each department in each reference month by the number of common diagnosed patients in different departments in each reference month includes the following specific steps: For the th reference month, the th department and the th department, obtain the common diagnosed patients of the th reference month, the th department and the th department. Combine the diagnosed patients of the th reference month, the th department and the driver parameters of all drivers in the th department in all reference months to obtain the th reference month, the th department and the th department's common diagnosed patients' th department's th driver's correction change trend. The specific calculation formula is: In the formula, Indicates the th reference month, the th department and the The corrected change trend of the common diagnosed patients in a department for the th cause in the th department; Indicates the number of common diagnosed patients in the th reference month for the th department and the th department; Indicates the number of diagnosed patients in the th reference month for the th department; Indicates the cause parameter of the th cause in the th department in the th reference month; Indicates the average value of the cause parameters of the th cause in the th department over all reference months.
[0010] Preferably, the method for obtaining the allocation degree of each indirect cost for different departments includes the following specific steps: For the th department and the th department, pair each cause in the th department with each cause in the th department to obtain a number of cause combinations between the th department and the th department; For any cause combination, take the product of the influence degrees of the two causes in the cause combination on any indirect cost as the influence degree of the cause combination on the indirect cost; obtain the standard deviation of the cause parameters of the two causes in the cause combination over all reference months as the standard deviation of the cause parameters of the two causes, and take the product of the standard deviations of the cause parameters of the two causes in the cause combination as the change trend of the cause combination; For any cause combination in any reference month, take the product of the corrected change trends of the two causes in the cause combination for the common diagnosed patients in the th department and the th department in the reference month as the co - change trend of the two causes in the cause combination in the reference month; take the sum of the co - change trends of the two causes in the cause combination over all reference months as the co - change trend of the two causes in the cause combination; Based on the influence degrees of all cause combinations on each indirect cost, the change trends of all cause combinations, and the co - change trends of the two causes in all cause combinations, obtain the allocation degree of the th department and the th department for each indirect cost.
[0011] Preferably, the obtaining Department and The degree of allocation of various indirect costs by each department, including the specific methods: For any driver combination, the ratio of the synergistic change trend of the two drivers in the driver combination to the change trend of the driver combination is multiplied by the impact of the driver combination on any indirect cost to obtain the allocation degree of the driver combination. The cumulative sum of the allocation degrees of all driver combinations is normalized to obtain the first Department and The degree to which each department shares this indirect cost.
[0012] Preferably, the specific method for obtaining the apportionment coefficient of each department to other departments for various indirect costs is as follows: For the Departments Departments, according to all reference months Department and The public diagnosis and treatment patients of each department are respectively Department and The first visit time of each department, combined with the Department and The degree of sharing of indirect costs by each department, and obtain the Departments The specific calculation formula for the allocation coefficient of each department to share various indirect costs is: Where, Indicates the Departments Departments share The allocation coefficient of the indirect cost item; Indicates the Department and Departments The degree of allocation of indirect costs; Indicates the Reference month Department and The number of public medical patients in each department; represents the reference month number; Indicates the Reference month Department and The first department Public medical treatment patients in the Time of first consultation in each department; Indicates the th reference month, the th department and the th department, the th public diagnosed patient's initial visit time at the th department; Indicates the sign function.
[0013] Preferably, the specific method for obtaining the indirect costs of each department in the current month includes: For the th department in the current month; according to the allocation coefficient of each department for allocating indirect costs to the th department, allocate the primary indirect costs of each department in the current month to the primary indirect costs of the th department in the current month, and obtain the indirect costs of the th department in the current month. The specific calculation formula is: In the formula, Indicates the th item of indirect cost of the th department in the current month; Indicates the number of departments; Indicates the th item of primary indirect cost of the th department in the current month; Indicates the th item of primary indirect cost of the th department in the current month; Indicates the th department's allocation coefficient for allocating the th item of indirect cost to the th department.
[0014] Another embodiment of the present invention provides a smart hospital information operation system, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the operation data processing method of any one of the above smart hospital information operation systems are implemented.
[0015] The beneficial effects of the technical solution of the present invention are as follows: By analyzing the historical driving factors of each department in the hospital, the influence degree of each driving factor in each department on various indirect costs is obtained. To avoid the influence of other driving factors when calculating the influence degree of a single driving factor in a single department on a single indirect cost, first calculate the unique change degree of the driving factor parameters of each driving factor in each department, and then accurately quantify the influence degree of each driving factor in each department on various indirect costs. Based on this, conduct a primary allocation of various indirect costs generated during the hospital operation process to obtain the various primary indirect costs of each department.
[0016] Since there are service relationships among departments in the hospital, to grasp the true operating costs of each department and improve resource utilization efficiency, it is necessary to obtain the influence of the service relationships among departments on the driving factors within each department to further allocate the various primary indirect costs of each department. Therefore, by analyzing the co-variation trend between each driving factor in different departments in history and combining the influence degree of each driving factor in different departments on various indirect costs, accurately quantify the allocation degree of different departments on various indirect costs. Further, in combination with the patient's visit time in each department, obtain the allocation coefficient of each department's allocation of various indirect costs to other departments, and reasonably allocate the indirect costs generated during the hospital operation process to each department to grasp the true operating costs of each department and improve resource utilization efficiency. BRIEF DESCRIPTION OF THE DRAWINGS
[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.
[0018] Figure 1 It is a step flow chart of a smart hospital information operation system and an operation data processing method of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS
[0019] In order to further elaborate on the technical means and effects adopted by the present invention to achieve the intended invention purpose, the following will, in conjunction with the accompanying drawings and preferred embodiments, detail the specific implementation manners, structures, features, and effects of a smart hospital information operation system and an operation data processing method proposed according to the present invention. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. In addition, the specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.
[0020] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field to which this invention belongs.
[0021] The following specifically describes the specific solution of an operation data processing method for an intelligent hospital information operation system provided by the present invention in conjunction with the accompanying drawings.
[0022] Please refer to Figure 1 , which shows a step flowchart of an operation data processing method for an intelligent hospital information operation system provided by an embodiment of the present invention. The method includes the following steps: Step S001: Preset a historical reference range, record each month within the historical reference range as a reference month, obtain the indirect costs for each item within the current month and all reference months, the driving factor parameters of all driving factors within each department, the patients under diagnosis, and the initial diagnosis time of the patients under diagnosis.
[0023] It should be noted that as an operation data processing method for an intelligent hospital information operation system, the ultimate goal of this embodiment is to reasonably allocate the costs generated during the operation of the hospital, that is, the following two principles need to be satisfied when allocating the hospital operation costs: the principle of profitability and the principle of traceability; the principle of profitability means that those who use resources bear the costs; the principle of traceability means that the costs need to be traceable to specific departments.
[0024] It should be further noted that in order for the hospital to accurately grasp the true operation costs of each department and improve the resource utilization efficiency, it is necessary to accurately obtain the costs generated during the operation of the hospital, and the costs include direct costs and indirect costs. Among them, the direct costs are composed of the labor costs of each department, drug consumables, etc. that can be directly attributed to the department, while the indirect costs are composed of costs that cannot be split into each department, such as public energy costs, administrative and logistics costs, etc. For example, the human resources department serves all departments of the hospital at the same time and does not serve a specific department alone. Therefore, it is necessary to reasonably allocate the indirect costs of the hospital to each department. Therefore, this embodiment proposes an operation data processing method for an intelligent hospital information operation system, and its ultimate goal is to reasonably allocate the indirect costs generated during the operation of the hospital to each department.
[0025] Specifically, preset a historical reference range , the specific value of which can be set according to the actual situation by itself, and this embodiment does not make a rigid requirement. In this embodiment, Taking a month as an example for description, each month in the historical reference range before the current month is used as each reference month. Through the financial system and HIS (Hospital Information System), data on various indirect costs and all drivers of each department, as well as the data on the patients under diagnosis and treatment and the initial consultation time of the patients under diagnosis and treatment, are obtained. The drivers include, but are not limited to, department area, the number of personnel in the department, equipment energy consumption in the department, etc.
[0026] It should be noted that since there are various drivers affecting the allocation of department indirect costs, and to accurately evaluate the impact of various drivers on the cost allocation of each department, it is necessary to standardize the data of all drivers to unify the dimension of each driver.
[0027] Furthermore, the data of each driver of each department in each reference month is standardized by the Z-score method to obtain the driver parameters of each driver of each department in each reference month. Since the Z-score method is a well-known existing technology, it will not be elaborated in this embodiment, and the department process of the patient during the diagnosis and treatment is obtained.
[0028] Step S002: According to the changes in the driver parameters in each department in different reference months, obtain the unique change degree in each department in all reference months; combine the changes in various indirect costs in all reference months, obtain the influence degree of each driver in each department on various indirect costs, and then obtain the primary indirect costs of each department in the current month.
[0029] It should be noted that as an operation data processing method of an intelligent hospital information operation system, this embodiment specifically and reasonably allocates the indirect costs of the hospital to each department, so as to accurately master the true operation costs of each department and improve the resource utilization efficiency. The various drivers of each department will affect the various indirect costs in the hospital, and different drivers have different influence degrees on different indirect costs. Therefore, it is necessary to obtain the influence degree of each driver of all departments on the indirect costs. However, when obtaining the influence degree of each driver of each department on the indirect costs, in order to avoid the interference caused by the drivers in other departments, it is first necessary to obtain the unique change degree of the driver parameters of each driver in all departments in each reference month, and use this as the weight to accurately obtain the influence degree of each driver of each department on the indirect costs.
[0030] Specifically, according to the driver parameters of each driver in all departments in all reference months, combined with the indirect costs of all reference months, obtain the unique change degree of the driver parameters of each driver in all departments in each reference month. The specific calculation formula is: In the formula, represents the Reference month Department No. The unique degree of variation of the driver parameters of each driver; Indicates the number of departments; Indicates the The number of drivers within each department; Indicates the Reference month Department No. The driver parameters of each driver; Indicates the first day of all reference months Department No. The mean value of the motivation parameter of each motivation; Indicates the Reference month Department No. The driver parameters of each driver; Indicates the first day of all reference months Department No. The mean value of the motivation parameter of each motivation; Represents the absolute value function.
[0031] It should be noted that the Reference month Department No. The unique degree of change of the motivation parameter of a motivation indicates that In the reference month, only Department No. The degree to which the motivation parameter of a motivation changes; the larger the value, the more Reference month The first The driver parameters of the first driver and the second driver in the other reference months The first The greater the difference between the driver parameters of the drivers, the greater the The other driver parameters in other departments have not changed in the reference month. Therefore, this can be used as a weight to more accurately obtain the impact of the driver parameters of each driver in each department on indirect costs.
[0032] Specifically, for the Department No. The motivation parameters of the first motivation are the same as those of the Indirect costs, based on the first Department No. The unique degree of change in the driver parameter for each driver, combined with the first Item indirect cost, get the The impact degree of the th driving factor in the th item of indirect cost, and its specific calculation formula is: In the formula, represents the impact degree of the th driving factor in the th item of indirect cost in the th department; represents the number of reference months; The unique change degree of the driving factor parameter of the th driving factor in the th department in the represents the th reference month, the th driving factor in the th department; represents the average value of the driving factor parameters of the th driving factor in the th department in all reference months; represents the th reference month, the th item of indirect cost; represents the average value of the th item of indirect cost in all reference months; represents the standard deviation of the driving factor parameters of the th driving factor in the th department in all reference months; represents the standard deviation of the th item of indirect cost in all reference months.
[0033] It should be noted that is the existing calculation formula of the Pearson correlation coefficient; however, since the indirect cost in the hospital operation process is affected by multiple driving factors, in order to avoid being affected by other driving factor parameters when evaluating the impact degree between each driving factor and the indirect cost in each department, therefore, in this embodiment, the unique change degree of the driving factor parameters of each driving factor in each department in two reference months is used, and the number of reference months is used as the weight to avoid the interference of other driving factor parameters as much as possible when quantifying the impact degree between the driving factor parameters of each driving factor in each department and the indirect cost, so as to accurately quantify the impact degree of the driving factor parameters of each driving factor in each department on each item of indirect cost.
[0034] It should be further noted that after obtaining the impact degree of each driving factor on each item of indirect cost in all departments, the indirect cost can be initially allocated to each department according to the impact degree of each driving factor on each item of indirect cost in all departments, and the primary indirect costs of each department can be obtained.
[0035] Specifically, for the th department in the current month, according to the influence degree of each driving factor in all departments in the current month on the th item of indirect cost, combined with the th item of indirect cost in the current month, obtain the th item of primary indirect cost of the th department in the current month. Its specific calculation formula is: In the formula, represents the th item of primary indirect cost of the th department in the current month; represents the th item of indirect cost in the current month; represents the number of departments; represents the th number of driving factors in the th department; represents the th number of driving factors in the th department; represents the influence degree of the th driving factor in the th department on the th item of indirect cost; represents the influence degree of the th driving factor in the th department on the th item of indirect cost; represents the driving factor parameter of the th driving factor in the th department in the current month; represents the driving factor parameter of the
[0036] It should be noted that represents the total influence of all driving factors in the department on the indirect cost. The greater the total influence of all driving factors in the department on the indirect cost, the more indirect cost should be allocated. Therefore, the indirect cost can be allocated according to the proportion of the total influence of all driving factors in a single department on the indirect cost in the total influence of all driving factors in all departments on the indirect cost.
[0037] Thus, the primary indirect costs of each department in the current month are obtained.
[0038] Step S003: Modify the motivation parameters of each motivation in each department in each reference month by the number of public medical patients in different departments in each reference month, and obtain the degree of sharing of each indirect cost by different departments in combination with the degree of influence of each motivation in each department on each indirect cost; obtain the sharing coefficient of each department to other departments in combination with the first visit time of the medical patients in the current month.
[0039] It should be noted that this embodiment, as an operational data processing method for a smart hospital information operation system, specifically allocates the indirect costs generated during the hospital operation process to each department through the drivers within the hospital. However, due to the service relationship between the departments in the hospital, for example, although the CT department is an independent department, the consumption of resources such as equipment and consumables in the CT department is incurred to provide diagnostic support to departments such as orthopedics and oncology. Therefore, the primary indirect costs of the CT department cannot be simply regarded as the indirect costs of the CT department. The indirect costs of the CT department need to be allocated to other departments that receive services from the CT department. In this way, the true operating costs of each department are grasped to improve resource utilization efficiency. To this end, it is necessary to obtain the impact of the service relationship between departments on the drivers within each department, and further combine the degree of influence of the drivers within each department on the indirect costs and the driver parameters within the department to obtain the allocation coefficients for allocating the indirect costs between departments. In this way, the indirect costs generated during the hospital operation process are reasonably allocated to each department to grasp the true operating costs of each department and improve resource utilization efficiency.
[0040] Preferably, in a specific embodiment of the present invention, for Reference month Department and Department, get the Reference month Department and The public diagnosis and treatment patients of each department, combined with the Reference month The number of patients treated in each department and all the patients in the reference month The motivation parameters of all motivations in each department are obtained. Reference month Department and Public diagnosis and treatment patients of the first department Department No. The specific calculation formula for the modified change trend of each factor is: Where, Indicates the Reference month Department and The corrected change trend of the common diagnosis and treatment patients in the th department with respect to the th driving factor; Indicates the number of common diagnosis and treatment patients in the th reference month between the th department and the th department; Indicates the number of diagnosis and treatment patients in the th reference month for the th department; Indicates the driving factor parameter of the th reference month for the th driving factor within the th department; Indicates the average value of the driving factor parameters of the th driving factor within the th department for all reference months.
[0041] It should be noted that indicates the degree and direction (change trend) of deviation of the th driving factor within the th department from its average value in the th reference month; indicates the proportion of the common diagnosis and treatment patients between the th department and the th department among the diagnosis and treatment patients of the th department in the th reference month. The larger the value, the greater the influence of the th driving factor within the th department by the common diagnosis and treatment patients between the th department and the th department. Subsequently, when allocating the primary indirect costs between the th department and the th department according to the co-variation trend among different driving factors within different departments in different reference months, the larger reference months should be used as the basis to allocate the primary indirect costs between the th department and the
[0042] It should be further noted that there are various driving factors in each department, and the influence degrees of different driving factors within each department on various indirect costs are different. When allocating the primary indirect costs between the th department and the When calculating the primary indirect costs of each department, it is necessary to further combine the influence degree of each driver in each department on each indirect cost, obtain the sharing degree of each indirect cost among different departments, and use it to allocate the primary indirect costs of different departments.
[0043] Preferably, in a specific embodiment of the present invention, for the th department and the th department, each driver in the th department is combined pairwise with each driver in the th department to obtain a number of driver combinations between the th department and the th department, that is, each driver combination includes one driver in the th department and one driver in the th department; For any driver combination, the product of the influence degrees of the two drivers in the driver combination on any indirect cost is used as the influence degree of the driver combination on the indirect cost; the standard deviation of the driver parameters of each of the two drivers in the driver combination in all reference months is obtained as the standard deviation of the driver parameters of the two drivers, and the product of the standard deviations of the driver parameters of the two drivers in the driver combination is used as the change trend of the driver combination; For any driver combination in any reference month, the product of the corrected change trends of the two drivers in the driver combination by the common diagnosed patients of the th department and the th department in the reference month is used as the co-variation trend of the two drivers in the driver combination in the reference month; the sum of the co-variation trends of the two drivers in the driver combination in all reference months is used as the co-variation trend of the two drivers in the driver combination; For any driver combination, the ratio of the co-variation trend of the two drivers in the driver combination to the change trend of the driver combination is multiplied by the influence degree of the driver combination on any indirect cost to obtain the sharing degree of the driver combination. The sum of the sharing degrees of all driver combinations is normalized to obtain the sharing degree of the th department and the th department for the indirect cost item; In this embodiment, its specific calculation formula is: In the formula, represents the sharing degree of the th department and the th department for the th indirect cost item; represents the number of drivers in the th department; Indicates the number of driving factors in the th department; Indicates the th driving factor in the th department's impact on the th item of indirect cost; Indicates the th driving factor in the th department's impact on the th item of indirect cost; Indicates the th reference month's th department and the th department's common diagnosis and treatment patients' th driving factor's corrected change trend in the th department; Indicates the th reference month's th department and the th department's common diagnosis and treatment patients' th driving factor's corrected change trend in the th department; Indicates the absolute value function; Indicates the th department's th driving factor's standard deviation of the driving factor parameter in all reference months; Indicates the th department's th driving factor's standard deviation of the driving factor parameter in all reference months; Indicates the sigmoid function, which is used for normalization processing in this embodiment.
[0044] It should be noted that and respectively represent the th reference month's th department's th driving factor's change trend, and the th department's th driving factor's change trend, which can accurately reflect the th reference month's th department's th driving factor and the th department's th driving factor's co-variation trend. The larger the value of the [[ID=9I]] th department's th driving factor and the The higher the correlation between the factors, the Department No. The cost of the first factor is Department No. Caused by a motive, or Department No. The cost of the first factor is Department No. The more it is caused by the first factor, the more it needs to be shared. Department and The primary indirect costs of each department are calculated. Since the influence of various factors within each department on various indirect costs varies, it is necessary to further combine the influence of various factors within each department on various indirect costs to obtain the degree of sharing of various indirect costs among different departments.
[0045] It should be further explained that since the service relationship between departments in the hospital has a certain direction, for example, the CT department will serve the orthopedics department, but the orthopedics department will not serve the CT department. Therefore, after obtaining the degree of sharing of various indirect costs among different departments, it is necessary to further obtain and combine the service direction between departments to obtain the sharing coefficients of various indirect costs among different departments, so as to share the various primary indirect costs of different departments.
[0046] Preferably, in a specific embodiment of the present invention, for Departments Departments, according to all reference months Department and The public diagnosis and treatment patients of each department are respectively Department and The first visit time of each department, combined with the Department and The degree of sharing of indirect costs by each department, and obtain the Departments The specific calculation formula for the allocation coefficient of each department to share various indirect costs is: Where, Indicates the Departments Departments share The allocation coefficient of the indirect cost item; Indicates the Department and Departments The degree of allocation of indirect costs; Indicates the Reference month The number of common diagnosed patients in the th department and the th department; Indicates the number of reference months; In the th reference month, for the th department and the th department, the th common diagnosed patient's initial visit time in the th department; In the th reference month, for the th department and the th department, the th common diagnosed patient's initial visit time in the th department;
[0047] It should be noted that usually, the initial visit time of the department being served is always before the initial visit time of the serving department. For example, for the orthopedics department and the CT department, patients always go to the orthopedics department first and then to the CT department. Therefore, in this embodiment, based on the initial visit time of common patients in each department, the service direction between departments is obtained. Further, by combining the degree of allocation of various indirect costs by different departments, the allocation coefficient of each department for allocating various indirect costs to each department is obtained. The allocation coefficient of each department for allocating various indirect costs to each department can be negative.
[0048] Thus, the allocation coefficient of each department for allocating various indirect costs to each department is obtained.
[0049] Step S004: According to the allocation coefficient of each department for allocating various indirect costs to other departments, allocate the primary indirect costs of each department in the current month to obtain the indirect costs of each department in the current month.
[0050] It should be noted that after obtaining the allocation coefficient of each department for allocating various indirect costs to each department through step S003, the primary indirect costs of each department in the current month obtained in step S002 can be further allocated according to the allocation coefficient of each department for allocating various indirect costs to each department to obtain the indirect costs of each department in the current month, so as to ensure that the pricing matches the actual resource consumption.
[0051] Specifically, in a specific embodiment of the present invention, for the th department in the current month; according to the allocation coefficient of each department for allocating various indirect costs to the th department, allocate the primary indirect costs of each department in the current month to the Among the various primary indirect costs of each department, for the th department's various indirect costs, the specific calculation formula is: In the formula, represents the th item of indirect cost of the th department in the current month; represents the number of departments; represents the th item of primary indirect cost of the th department in the current month; represents the th item of primary indirect cost of the th department in the current month; represents the th department's sharing coefficient for sharing the th item of indirect cost to the th department.
[0052] It should be noted that when the sharing coefficient of the th department for sharing various indirect costs to the th department is negative, it means that the th department serves the th department; the primary indirect costs of the th department should be allocated to the th department, and vice versa, the primary indirect costs of the th department should be allocated to the th department; when the absolute value of the sharing coefficient of the th department for sharing various indirect costs to the th department is larger, it means that the service relationship between the th department and the th department is greater, and it is more necessary to reallocate the indirect costs of the th department and the th department. By analyzing the service relationship between departments in this embodiment, the costs of each department are further allocated to accurately grasp the true operating costs of each department and improve the resource utilization efficiency.
[0053] Further, after accurately grasping the true operating costs of each department, the resource allocation of each department can be optimized based on the true operating costs of each department, so as to realize more accurate statistics and analysis of the true operating costs of each department in the smart hospital, and build an operating system for the smart hospital based on this; the operating strategies in the operating system include: reasonably planning the department layout according to the department area and cost ratio, further incorporating the allocated cost data into the performance appraisal system, and providing resource tilt for departments with excellent cost control. For departments with high service contributions but cost overruns, provide special subsidies or process optimization support to build an intelligent operation system with controllable costs, efficiency priority, and patient-centeredness, and ultimately promote the refined and sustainable development of the hospital. Another embodiment of the present invention provides a smart hospital information operation system, including a memory, a processor, and a computer program stored in the memory and operable on the processor. When the processor executes the computer program, it implements the operation data processing method of a smart hospital information operation system in steps S001 to S004.
[0054] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the principles of the present invention shall be included in the protection scope of the present invention.
Claims
1. A method for processing operation data of an intelligent hospital information operation system, characterized in that, The method includes the following steps: Preset a historical reference range, record each month within the historical reference range as a reference month, obtain the indirect costs for each item in the current month and all reference months, as well as the driver parameters of all drivers in each department and the initial visit times of the diagnosed patients, and standardize the data of the driver parameters, which are the data of the drivers affecting the indirect cost allocation in each department, respectively; According to the changes in the driver parameters in each department in different reference months, obtain the unique change degree in each department in all reference months; combine the changes in the indirect costs for each item in all reference months, obtain the influence degree of each driver in each department on the indirect costs for each item, and further obtain the primary indirect costs for each item in each department in the current month; Modify the driver parameters of each driver in each department in each reference month through the number of common diagnosed patients in different departments in each reference month, combine the influence degree of each driver in each department on the indirect costs for each item, and obtain the allocation degree of different departments for the indirect costs for each item; combine the initial visit times of the diagnosed patients in the current month, and obtain the allocation coefficient for each department to allocate the indirect costs for each item to other departments; According to the allocation coefficient for each department to allocate the indirect costs for each item to other departments, allocate the primary indirect costs for each item in each department in the current month, and obtain the indirect costs for each item in each department in the current month.
2. The operation data processing method of a smart hospital information operation system according to claim 1, characterized in that The specific method for obtaining the unique change degree in each department in all reference months according to the changes in the driver parameters in each department in different reference months is as follows: According to the driver parameters of each driver in all departments in all reference months, combine the indirect costs of all reference months, and obtain the unique change degree of the driver parameters of each driver in all departments in each reference month. The specific calculation formula is: In the formula, represents the unique degree of change of the motivation parameter of the th motivation in the th department in the th reference month; represents the number of departments; represents the number of motivations in the th department; represents the motivation parameter of the th motivation in the th department in the th reference month; represents the average value of the motivation parameters of the th motivation in the th department in all reference months; represents the motivation parameter of the th motivation in the th department in the th reference month; represents the average value of the motivation parameters of the th motivation in the th department in all reference months; represents the absolute value function.
3. The operation data processing method of a smart hospital information operation system according to claim 1, wherein, The specific method for obtaining the influence degree of each driver in each department on the indirect costs for each item includes the following: For the th cause in the th department, the cause parameter of the th indirect cost, according to the unique change degree of the cause parameters of the th cause in the th department in all reference months, combined with the th indirect cost of all reference months, obtain the influence degree of the th cause in the th department on the th indirect cost. Its specific calculation formula is: Wherein, represents the influence degree of the th motivation in the th department on the th indirect cost; represents the number of reference months; the unique change degree of the motivation parameter of the th motivation in the th department in the th reference month; represents the motivation parameter of the th motivation in the th department in the th reference month; represents the average value of the motivation parameters of the th motivation in the th department in all reference months; represents the th indirect cost in the th reference month; represents the average value of the indirect costs of the th item in all reference months; represents the standard deviation of the motivation parameters of the th motivation in the th department in all reference months; represents the standard deviation of the indirect costs of the th item in all reference months.
4. The operation data processing method of a smart hospital information operation system according to claim 1, characterized in that, The specific method for obtaining the primary indirect costs for each item in each department in the current month includes the following: For the th department in the current month, according to the influence degree of each driving factor in all departments in the current month on the th item of indirect cost, combined with the th item of indirect cost in the current month, obtain the th department's th item of primary indirect cost, and its specific calculation formula is: Wherein, represents the th item of primary indirect cost in the th department in the current month; represents the th item of indirect cost in the current month; represents the number of departments; represents the th number of cost drivers in the th department; represents the th number of cost drivers in the th department; represents the impact degree of the th cost driver on the th item of indirect cost in the th department; represents the impact degree of the th cost driver on the represents the driver parameter of the th cost driver in the th department in the current month; represents the driver parameter of the th cost driver in the th department in the current month.
5. The operation data processing method of a smart hospital information operation system according to claim 1, characterized in that The specific method for modifying the driver parameters of each driver in each department in each reference month through the number of common diagnosed patients in different departments in each reference month includes the following: For the th reference month, for the th department and the th department, obtain the common diagnosed patients of the th reference month for the th department and the th department. Combine the diagnosed patients of the th reference month for the th department and the agent parameters of all agents in the th department in all reference months, and obtain the corrected change trend of the th reference month for the th department and the th department for the th agent in the th department. Its specific calculation formula is: In the formula, represents the corrected change trend of the th motivation in the th department among the common diagnosed patients of the th department and the th department in the th reference month; represents the number of common diagnosed patients of the th department and the th department in the th reference month; represents the number of diagnosed patients of the th department in the th reference month; represents the motivation parameter of the th motivation in the th department in the th reference month; represents the average value of the motivation parameters of the th motivation in the th department among all reference months.
6. The operation data processing method of a smart hospital information operation system according to claim 5, characterized in that, The specific method for obtaining the allocation degree of different departments for the indirect costs for each item includes the following: For the th department and the th department, pair up each driver in the th department with each driver in the th department to obtain a number of driver combinations between the th department and the th department; For any driver combination, take the product of the influence degrees of the two drivers in the driver combination on any one indirect cost as the influence degree of the driver combination on this indirect cost; obtain the standard deviation of the driver parameters of the two drivers in the driver combination in all reference months as the standard deviation of the driver parameters of the two drivers, and take the product of the standard deviations of the driver parameters of the two drivers in the driver combination as the change trend of the driver combination; For any combination of drivers in any reference month, multiply the corrected change trends of the two drivers in the combination of drivers by the common medical treatment patients in the th department and the th department in the reference month as the co-change trend of the two drivers in the combination of drivers in the reference month; take the cumulative sum of the co-change trends of the two drivers in the combination of drivers in all reference months as the co-change trend of the two drivers in the combination of drivers; Based on the influence degree of all driver combinations on various indirect costs, the changing trends of all driver combinations, and the co-changing trends of two drivers in all driver combinations, obtain the allocation degree of the th department and the th department for various indirect costs.
7. The operation data processing method of a smart hospital information operation system according to claim 6, characterized in that The obtaining of the th department and the th department's sharing degree of each indirect cost, and the specific methods included are as follows: For any combination of drivers, multiply the ratio of the co-variation trend of two drivers in the driver combination to the variation trend of the driver combination by the degree of influence of the driver combination on any indirect cost item to obtain the allocation degree of the driver combination. Normalize the sum of the allocation degrees of all driver combinations to obtain the allocation degree for the th department and the th department to allocate this indirect cost.
8. The operation data processing method of a smart hospital information operation system according to claim 1, characterized in that, The specific method for obtaining the allocation coefficient for each department to allocate the indirect costs for each item to other departments includes the following: For the th department and the th department, based on the common diagnosed patients of the th department and the th department in all reference months at the initial visit times of the th department and the th department, and combining the sharing degrees of each indirect cost of the th department and the th department, obtain the sharing coefficient of each indirect cost shared by the th department to the th department. Its specific calculation formula is: Wherein, represents the apportionment coefficient of the th department for sharing the th item of indirect cost; The apportionment coefficient of the th department for sharing the th item of indirect cost; represents the degree of apportionment of the th item of indirect cost between the th department and the th department; represents the number of common diagnosed patients between the th department and the th department in the th reference month; represents the number of reference months; represents the first visit time of the th common diagnosed patient between the th department and the th department in the th reference month; represents the first visit time of the th common diagnosed patient between the th department and the th department in the th reference month; represents the sign function.
9. The operation data processing method of a smart hospital information operation system according to claim 1, wherein The specific method for obtaining the indirect costs for each item in each department in the current month includes the following: For the th department in the current month; according to the apportionment coefficient of each department for apportioning various indirect costs to the th department, allocate the various primary indirect costs of each department in the current month to the various primary indirect costs of the th department in the current month, and obtain the various indirect costs of the th department in the current month. The specific calculation formula is as follows: In the formula, represents the th indirect cost item of the th department in the current month; represents the number of departments; represents the th primary indirect cost item of the th department in the current month; represents the th primary indirect cost item of the th department in the current month; represents the allocation coefficient of the th department for allocating the th indirect cost item to the th department.
10. A smart hospital information operation system, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, When the computer program is executed by a processor, it implements the steps of the operation data processing method of a smart hospital information operation system according to any one of claims 1-9.