Hospital consumables use supervision system and supervision method

Abstract

The present invention relates to the field of medical care informatics technology, and specifically to a hospital consumables usage supervision system and method. By obtaining relevant consumables data and patient visit-related data of each hospital department and analyzing the relevant consumables data, the basic consumables demand of each department is determined; based on the changing trend of patient visit-related data in different periods, the rising trend of the number of patients visiting each department in different periods is determined, and then the indirect impact of the consumables usage of each department affected by the visit load of other departments is determined; based on the rising trend of the number of patients visiting each department in the current period, the basic consumables demand and the indirect impact of consumables usage, the consumables usage allowance of each department is determined, and whether to issue a consumables abnormality warning is determined based on the consumables usage allowance. The present invention effectively improves the accuracy of hospital consumables usage supervision by adaptively determining the consumables usage allowance of each department.

Description

Technical Field

[0001] The present invention relates to the technical field of medical care informatics, and in particular to a hospital consumables use supervision system and method. Background Art

[0002] With the advancement of medical technology, hospitals use a wide variety of consumables, including medicines, instruments, consumables, etc., involving multiple departments and professional fields. This makes the management of consumables increasingly complex, especially for high-frequency consumables. How to ensure their compliance, timely and accurate use has become an important issue.

[0003] Existing hospital consumables regulation suffers from significant shortcomings, particularly the inability to establish flexible regulatory models tailored to dynamic variables such as patient growth and departmental workload, leading to a disconnect between regulatory measures and actual needs. Specifically, most current regulatory systems rely on historical data averages to set early warning rules, lacking the ability to respond promptly and accurately to real-time variables. This makes them prone to "one-size-fits-all" oversight or delayed regulation, resulting in poorly accurate regulation of hospital consumables use. Summary of the Invention

[0004] In order to solve the above-mentioned technical problem of poor accuracy in monitoring the use of hospital consumables, the purpose of the present invention is to provide a hospital consumables use monitoring system and method. The technical solutions adopted are as follows:

[0005] In a first aspect, the present invention provides a method for supervising the use of hospital consumables, comprising the following steps:

[0006] Obtain relevant consumables data and patient treatment data from various departments of the hospital;

[0007] Analyze the relevant consumables data to determine the basic consumables requirements of each department;

[0008] Conduct correlation analysis on relevant consumables data of different departments to determine the correlation impact of consumables usage between any two departments;

[0009] Analyze the changing trend of patient visit data in different periods to determine the increasing trend of the number of patients visiting each department in different periods;

[0010] Based on the rising trend of the number of patients visiting each department in the current period, and combined with the differences in the rising trend of the number of patients visiting different periods and the differences between the relevant data of patients' visits, the rising trend of patients visiting each department affected by the season is determined;

[0011] Based on the seasonal increase in patient visits and related consumables data, and combined with the correlation between each department and other departments' consumables usage, the indirect impact of each department's consumables usage on the patient load of other departments was determined;

[0012] Determine the permissible level of consumables usage for each department based on the current trend of the number of patients visiting each department, the demand for basic consumables, and the indirect impact of consumables usage;

[0013] Based on the permissible usage of consumables, determine whether to issue a consumables abnormality warning.

[0014] In conjunction with the first aspect above, in some possible implementations, the relevant consumables data includes at least the types of all consumables in each unit time period within a set time period in the past, as well as the consumption and unit cost of each consumable, to determine the basic consumables demand of each department, including:

[0015] Determine the intersection of all consumable types in all unit time periods of each department within the past set time period to obtain the main consumable types of each department;

[0016] Determine the basic consumables demand of each department based on the consumption and unit cost of the main consumables types of each department in the past set time period.

[0017] In conjunction with the first aspect above, in some possible implementations, determining the correlation impact of consumable usage between any two departments includes:

[0018] Determine the intersection of the main consumables types of any two departments and obtain the main consumables types shared by any two departments;

[0019] Based on the difference in consumption of each common main consumable type between any two departments in the past set time period, the correlation impact of consumable usage between any two departments is determined.

[0020] In conjunction with the first aspect above, in some possible implementations, determining the correlation impact of consumable usage between any two departments includes:

[0021] Determine the sum and absolute difference of the consumption of the same common main consumables of any two departments in the past set time period to obtain the sum and difference of consumption;

[0022] Determine a relative change value of consumption based on the sum of consumption values ​​and the difference in consumption values;

[0023] The cumulative value of the relative change value of the consumption of each common main consumable type of any two departments is normalized to obtain the consumable usage correlation impact of any two departments.

[0024] In conjunction with the first aspect above, in some possible implementations, the patient visit-related data includes at least the number of patients visiting the hospital per unit time in each period, and determining the upward trend of the number of patients visiting each department in different periods includes:

[0025] Perform curve fitting on the number of patients visiting each department in each unit time in each period to obtain a fitting curve;

[0026] Determine the maximum point of the fitting curve, and determine the upward trend of the number of patients visiting each department in each period based on the number of patients visiting the maximum point and the time interval between adjacent maximum points.

[0027] In conjunction with the first aspect above, in some possible implementations, determining the upward trend of the number of patients visiting each department in each period includes:

[0028] Determine the ratio of the number of patients corresponding to the latter maximum point and the former maximum point in each of two adjacent maximum points to obtain a first ratio;

[0029] Determine the product of the negative correlation processing result of the time interval between each two adjacent maximum value points and the first ratio to obtain a first product;

[0030] The accumulated values ​​of the first products corresponding to all two adjacent maximum points are normalized to obtain the upward trend of the number of patients visiting each department in each period.

[0031] In conjunction with the first aspect above, some possible implementations of determining the upward trend of seasonally affected patients in each department include:

[0032] Determine a first trend degree and a second trend degree of the increasing trend degree of the number of patients visiting each department in the current period and the same period before, wherein the first trend degree is greater than or equal to the second trend degree;

[0033] Determine the first number of patients and the second number of patients in the total number of patients who visited the hospital during the current period and the same period before the current period, where the first number of patients is greater than or equal to the second number of patients;

[0034] determining a ratio of the second trend degree to the first trend degree to obtain a second ratio, and determining a ratio of the second number of patients to the first number of patients to obtain a third ratio;

[0035] Determine the product of the second ratio and the third ratio to obtain a second product, and determine the second product as the seasonal influence degree of each department;

[0036] The seasonal impact degree is used to correct the rising trend of the number of patients visiting each department in the current period, and the rising trend of the number of patients visiting each department affected by the season is obtained.

[0037] In conjunction with the first aspect above, in some possible implementations, the relevant consumables data also includes the total amount of all consumables collected and the total amount of all consumables used per unit time in each unit period; determining the indirect impact of consumables usage of each department on the patient load of other departments includes:

[0038] The balance of consumables is determined based on the difference between the total amount of all consumables received by each department per unit time and the total amount of all consumables used;

[0039] Based on the upward trend in the number of patients visiting each department due to seasonal factors, and combined with the average distribution level of the consumables balance per unit time in each department within at least one recent unit period, the degree of impact of the increase in the number of patients visiting each department due to seasonal factors on the use of consumables is determined;

[0040] The cumulative sum of the associated impacts of each department's consumables usage with other departments and the product of each department's impact performance were normalized to obtain the indirect impact of each department's consumables usage affected by the patient load of other departments.

[0041] In conjunction with the first aspect above, in some possible implementations, determining the permissible usage of consumables for each department includes:

[0042] Determine the product of the increasing trend of the number of patients visiting each department in the current period and the demand for basic consumables to obtain the third product;

[0043] Determine the product of the negative correlation mapping value of the basic consumables demand of each department and the indirect impact of consumables use to obtain a fourth product;

[0044] The difference between the third product and the fourth product of each department is determined to obtain the consumables usage allowance of each department.

[0045] In a second aspect, the present invention further provides a hospital consumables usage monitoring system, comprising a memory and a processor. The memory is configured to store executable computer program code, and the processor is configured to retrieve and execute the executable computer program code from the memory, so that the system performs the method of the first aspect or any possible implementation of the first aspect.

[0046] In a third aspect, the present invention further provides a computer program product, which includes: computer program code, which, when running on a computer, enables the computer to execute the method in the above-mentioned first aspect or any possible implementation of the first aspect.

[0047] In a fourth aspect, the present invention further provides a computer-readable storage medium, which stores a computer program code. When the computer program code runs on a computer, the computer executes the method in the above-mentioned first aspect or any possible implementation of the first aspect.

[0048] The present invention has the following beneficial effects: by analyzing the relevant consumables data of various departments of the hospital, the basic consumables demand of each department is determined, which is used to quantify the basic consumables demand of each department; by analyzing the change trend of the patient visit-related data in different periods, the rising trend of the number of patients visiting each department in different periods is determined, which is used to quantify the rising trend of the number of patients visiting different departments in different periods; on the basis of the rising trend of the number of patients visiting in the current period, combined with the difference between the rising trend of the number of patients visiting in different periods and the difference between the patient visit-related data, the seasonal influence of the rising trend of patients visiting each department is determined. Trend is used to quantify the rising trend of the number of patients visiting different departments under the influence of seasonal factors in the current period; then, based on the rising trend of patients visiting each department affected by the season and related consumables data in the current period, and combined with the correlation influence of consumables use between each department and other departments, the indirect influence of consumables use on each department affected by the visit load of other departments is determined; finally, based on the rising trend of the number of patients visiting each department in the current period, the basic consumables demand and the indirect influence of consumables use, the permissible degree of consumables use of each department is adaptively determined, and based on the permissible degree of consumables use, it is determined whether to issue an abnormal consumables warning. The present invention analyzes the basic consumables demand of each department, considers the correlation between different departments on the use of the same consumables, and considers the changes in department visit load caused by seasonal effects to comprehensively analyze the impact of seasonal patient growth on consumables use, and then determines the impact of the visit load of other departments on the use of consumables in each department, and finally adaptively determines the allowable consumables use of each department, thereby completing early warning supervision of each department and effectively improving the accuracy of hospital consumables use supervision. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to more clearly illustrate the technical solutions and advantages of the embodiments of the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art descriptions. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0050] Figure 1 This is a flowchart of a method for supervising the use of consumables in hospitals according to an embodiment of the present invention;

[0051] Figure 2The figure is a schematic diagram of the structure of a hospital consumables usage monitoring system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0052] In order to clearly illustrate the technical features of this solution, the present invention is described in detail below through specific implementation methods in conjunction with the accompanying drawings.

[0053] Embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although certain embodiments of the present invention are shown in the accompanying drawings, it should be understood that the present invention can be implemented in various forms and should not be construed as limited to the embodiments described herein. Rather, these embodiments are provided to provide a more thorough and complete understanding of the present invention. It should be understood that the drawings and embodiments of the present invention are for illustrative purposes only and are not intended to limit the scope of protection of the present invention.

[0054] It should be understood that the various steps described in the method embodiments of the present invention may be performed in different orders and / or in parallel. In addition, the method embodiments may include additional steps and / or omit the steps shown. The scope of the present invention is not limited in this respect.

[0055] As used herein, the term "including" and its variations are open-ended, i.e., "including but not limited to." The term "based on" means "based, at least in part, on." The term "one embodiment" means "at least one embodiment," the term "another embodiment" means "at least one additional embodiment," and the term "some embodiments" means "at least some embodiments." Other terms are defined in the following description.

[0056] It should be noted that the concepts of "first" and "second" mentioned in the present invention are only used to distinguish different devices, modules or units, and are not used to limit the order or interdependence of the functions performed by these devices, modules or units.

[0057] Although operations or steps are described in a particular order in the drawings in the embodiments of the present invention, this should not be understood as requiring that these operations or steps be performed in the particular order shown or in a serial order, or that all of the operations or steps shown be performed to obtain a desired result. In the embodiments of the present invention, these operations or steps may be performed serially; they may also be performed in parallel; or a portion of these operations or steps may be performed.

[0058] At the same time, it is understood that the data involved in the technical solutions of the present invention (including but not limited to the data itself, the acquisition or use of the data) must comply with the requirements of relevant laws, regulations and relevant provisions. Unless otherwise defined, all technical and scientific terms used in this invention have the same meanings as those commonly understood by those skilled in the art to which this invention belongs, and all parameters or indicators in the formulas involved in this invention are normalized values ​​to eliminate dimension effects.

[0059] In order to solve the technical problem of poor accuracy in hospital consumables usage supervision, an embodiment of the present invention provides a hospital consumables usage supervision system and method. By analyzing the relevant consumables data and patient treatment-related data of various departments in the hospital, the upward trend of the number of patients visiting each department in the current period, the basic consumables demand and the indirect impact of consumables usage are determined, and then the consumables usage permission of each department is adaptively determined. Based on the consumables usage permission, it is determined whether to issue a consumables abnormality warning.

[0060] A hospital consumables usage supervision system and supervision method provided by an embodiment of the present invention will be described in detail below with reference to the accompanying drawings.

[0061] Figure 1 FIG. 1 shows a basic flow chart of a method for supervising the use of consumables in a hospital provided by an embodiment of the present invention. Figure 1 As shown, the method specifically includes the following steps:

[0062] Step S100: Obtain relevant consumables data of each department of the hospital and patient treatment related data.

[0063] Specifically, different departments within a hospital are affected by factors such as departmental diagnosis and treatment needs and treatment methods, which will lead to differences in the medical consumables used between different departments, such as differences in the types and quantities of consumables. In order to accurately supervise the use of consumables in various departments of the hospital, the hospital's relevant intelligent management system can obtain relevant consumables data for each department in the hospital. The relevant consumables data may include the types of medical consumables used annually, monthly, and daily, the consumption of each consumable, the unit cost of each consumable, and other data, as well as the types of medical consumables received annually, monthly, and daily, the total amount of each consumable received, and other data. At the same time, patient visit-related data from various departments within the hospital can also be obtained. Patient visit-related data may include the number of patients visiting the hospital annually, monthly, and daily, specific visit times, and other data.

[0064] Step S200: Analyze relevant consumables data to determine the basic consumables demand of each department.

[0065] Specifically, different departments use varying amounts of consumables due to differences in disease types and diagnostic needs. For example, consumable usage in surgery and emergency departments is typically much higher than in internal medicine or outpatient departments. Therefore, when regulating consumables across different departments, it is necessary to fully consider the normal consumable usage of each department.

[0066] In order to better understand the overall equipment resource consumption pattern of each department, the basic consumables performance of each department can be analyzed based on the main consumables. This is because the main consumables are usually used frequently, have a high unit cost, and have a greater impact on department operations and costs. By analyzing the main consumables, we can focus on the aspects that affect department operations and costs, so as to better monitor and manage department consumables.

[0067] Based on the relevant consumables data of each department, further, in a possible implementation, determining the basic consumables demand of each department in the above step S200 includes:

[0068] Step S201: Determine the intersection of the types of all consumables in all unit time periods of each department within a set time period in the past, and obtain the main types of consumables in each department.

[0069] Specifically, the theoretical proportion of consumables used by each department is assessed based on the main types of consumables used, as well as the quantity and unit cost of each main consumable. To this end, the time period is set to one year, and the unit time period is set to one month. Based on the relevant consumable data of each department, the types of all consumables used in each department for each month over the past year are determined, thereby obtaining the consumable name sequence for each department for each month over the past year. For each department, the intersection of the consumable name sequences for each month over the past year is taken to obtain the main consumable types for each department.

[0070] Step S202: Determine the basic consumables demand of each department based on the consumption and unit cost of the main consumables of each department in the past set time period.

[0071] Specifically, for all major consumables of each department, based on their consumption and unit cost in the past year, the basic consumables demand of each department is determined. When the values ​​of consumption and unit cost are larger, it means that the theoretical proportion of consumables of the department is higher, and the corresponding basic consumables demand value is larger.

[0072] In a specific implementation, the basic consumables demand of each department is calculated using the following formula:

[0073] ;

[0074] Where: represents the basic consumables demand of the i-th department; M represents the types and quantity of the main consumables of the i-th department; Indicates the consumption of the mth major consumable in the i-th department in the past set time period (past year); Represents the unit cost coefficient of the mth major consumable material in the i-th department, by using The standard normalization function is obtained by normalizing the unit cost of the mth major consumables in the i-th department; Represents the standard normalization function, which is used to normalize the value to the range (0,1).

[0075] In the above calculation formula, the unit cost coefficient of each major consumable in each department is used as the weight, and the consumption of all major consumables in the past year is weighted and summed and normalized to comprehensively determine the basic consumable demand of each department.

[0076] Step S300: performing correlation analysis on relevant consumables data of different departments to determine the correlation impact of consumables usage between any two departments.

[0077] Specifically, the amount of consumables in each department of the hospital not only affects its own operation, but also affects other departments related to its consumable use. This is because different departments use the same consumables for diagnosis and treatment. For example, the emergency department usually needs to frequently use gloves, disinfectants and other consumables, and routine outpatient departments also need to use a large amount of gloves, disinfectants and other consumables. If the number of patients visiting one department increases dramatically for some reason, this may lead to a large consumption of such consumables, and then due to inventory problems, multiple departments may face a shortage of consumables. Therefore, in order to accurately monitor the medical consumables of each department of the hospital, it is also necessary to analyze the impact of consumables on equipment related to multiple departments.

[0078] Furthermore, in a possible implementation, determining the consumables usage correlation impact between any two departments in step S300 includes:

[0079] Step S301: Determine the intersection of the main consumables types of any two departments to obtain the main consumables types shared by the two departments.

[0080] Specifically, based on the main consumables types of each department, the intersection of the main consumables types of any i-th and j-th departments is determined, thereby obtaining the common main consumables types of any i-th and j-th departments.

[0081] Step S302: Determine the consumable usage correlation impact between any two departments based on the difference in consumption of each common main consumable type between any two departments within a set time period in the past.

[0082] Specifically, for any i-th and j-th departments, the more types of common main consumables they have and the closer the consumption of each common main consumable is, it means that the high consumption of consumables caused by the sudden increase in patients in any department has a greater impact on the other department, and the corresponding value of the consumable usage correlation impact between any i-th and j-th departments will be greater.

[0083] Furthermore, in a specific implementation method, the correlation impact of consumable usage between any two departments is determined, including: determining the sum and absolute difference of the consumption of the same common main consumable type of any two departments in the past set time period to obtain the sum and difference of consumption; determining the relative change value of consumption based on the sum and difference of consumption; normalizing the cumulative value of the relative change value of consumption of each common main consumable type of any two departments to obtain the correlation impact of consumable usage between any two departments.

[0084] In this specific implementation, the correlation impact of consumables usage between any two departments can be calculated using the following formula:

[0085] ;

[0086] Where: It represents the correlation influence between the consumables usage of the i-th department and the j-th department of the hospital; Indicates the consumption of the gth common consumable type among all the main consumable types of the i-th department and the j-th department in the past set time period (past year); Indicates the consumption of the gth type of common consumables among all the main consumables of the jth department and the ith department in the past set time period (past year); It represents the total quantity of all major consumables in the i-th department and the j-th department in the past set time period (the past year); Represents an infinitesimal quantity greater than 0, used to prevent the denominator from being zero; Represents the standard normalization function, which is used to normalize the value to the range (0,1).

[0087] By analyzing the difference in consumption of each common main consumable type between any two departments in the past set time period, the correlation impact of consumable usage between any two departments can be determined.

[0088] Step S400: Analyze the changing trend of the patient visit-related data in different periods to determine the increasing trend of the number of patients visiting each department in different periods.

[0089] Specifically, seasonal factors significantly impact disease prevalence, especially during seasons with significant temperature or humidity fluctuations, which often lead to peaks in the spread of certain diseases (such as influenza and respiratory infections). The prevalence of these diseases not only leads to a sudden increase in the number of patients visiting relevant departments but can also trigger shifts in patients' medical needs, further increasing the consumption of medical resources. Specifically, with the prevalence of infectious diseases like influenza and respiratory infections, the number of patients visiting hospitals has skyrocketed, increasing the pressure on relevant hospital departments (such as respiratory, infectious diseases, and emergency departments). In this context, the demand for consumables within departments, such as antibiotics, masks, disinfectants, test reagents, and disposable medical devices, also increases significantly.

[0090] Therefore, based on the patient visit-related data of each department, the past three months are set as the current period, and each day in the past three months is set as a unit time, so that the number of patients visiting the hospital in each unit time in the current period can be determined. Based on the changes in the number of patients visiting the hospital in each unit time in the current period, the upward trend of the number of patients visiting the hospital in each department in the current period can be determined. For example, when the number of patients visiting the hospital in each unit time in the current period shows a gradual upward trend, the corresponding value of the upward trend of the number of patients visiting the hospital will be larger. Similarly, the same historical period (such as the same time period last year) is also regarded as a period, and based on the changes in the number of patients visiting the hospital in each unit time in this period, the upward trend of the number of patients visiting the hospital in each department in this period can also be determined.

[0091] Furthermore, in a possible implementation, determining the upward trend of the number of patients visiting each department in different periods in step S400 includes:

[0092] Step S401: performing curve fitting on the number of patients visiting each department in all unit times in each period to obtain a fitting curve.

[0093] Specifically, taking the current period (the past three months) as an example, the number of patients visiting each department per unit time (i.e., per day) over the past three months is curve-fitted using the least squares method to determine the fitting curve corresponding to that period. Since the specific implementation of curve fitting using the least squares method is prior art, it will not be further described here.

[0094] Step S402: Determine the maximum point of the fitting curve, and determine the upward trend of the number of patients visiting each department in each period based on the number of patients visiting the maximum point and the time interval between adjacent maximum points.

[0095] Specifically, by screening the maximum values ​​of the fitting curve, all the maximum points in the fitting curve can be determined. For data performance showing an upward trend in the number of patients visiting the clinic, this can be reflected by analyzing the degree of increase in the number of patients visiting the clinic corresponding to the maximum points and the temporal proximity between the maximum points. When the number of patients visiting the clinic corresponding to the maximum points shows an upward trend, the higher the increase, and the higher the temporal proximity between the maximum points, the more obvious the upward trend in the number of patients visiting the clinic is, and the greater the value of the upward trend in the number of patients visiting the clinic in the corresponding department during that period.

[0096] Furthermore, in a specific implementation method, the upward trend of the number of patients visiting each department in each period is determined, including: determining the ratio of the number of patients corresponding to the latter maximum point and the former maximum point in each adjacent two maximum points to obtain a first ratio; determining the product of the negative correlation processing result of the time interval between each two adjacent maximum points and the first ratio to obtain a first product; normalizing the accumulated values ​​of the first products corresponding to all two adjacent maximum points to obtain the upward trend of the number of patients visiting each department in each period.

[0097] In this specific implementation, taking the current period (the past three months) as an example, the upward trend of the number of patients visiting each department in each period can be calculated using the following formula:

[0098] ;

[0099] Where: represents the upward trend of the number of patients visiting the i-th department in the current period (the past three months); N represents the total number of maximum points in the fitting curve of the number of patients visiting the i-th department in the current period; represents the number of patients visiting the i-th department corresponding to the n+1-th maximum point; Indicates the number of patients corresponding to the nth maximum point in the i-th department; represents the time interval between the nth and n+1th maximum points of the i-th department (in days); It represents the negative correlation processing result of the time interval between the nth and n+1th maximum points of the i-th department; Represents the standard normalization function, which is used to normalize the value to the range (0,1).

[0100] By analyzing the ratio of the number of patients corresponding to the maximum point after each adjacent maximum point in the fitted curve, as well as the time interval between each maximum point, we can determine the degree of the recent upward trend in patient volume for each department. Similarly, we can also determine the degree of the upward trend in patient volume for the same historical period (the same time period last year) to quantify the extent of the upward trend in the number of patients.

[0101] Step S500: Based on the rising trend of the number of patients visiting each department in the current period, and combined with the differences between the rising trends of the number of patients visiting different periods and the differences between the patient visit-related data, determine the rising trend of patients visiting each department affected by the season.

[0102] Specifically, a comparative analysis can be conducted between the current period and the same period in the past to reflect whether the current upward trend in the number of patients visiting each department is due to seasonal factors, thereby further reflecting the direct impact of the increase in the number of patients visiting the current period.

[0103] Furthermore, in a possible implementation, determining the upward trend of patients visiting each department affected by season in step S500 includes:

[0104] Step S501: Determine a first trend degree and a second trend degree of the increasing trend degree of the number of patients visiting each department in the current period and the same period before, wherein the first trend degree is greater than or equal to the second trend degree.

[0105] Specifically, taking the i-th department as an example, determine the larger and smaller values ​​of the increasing trend of the number of patients visiting the i-th department in the current period and the same historical period (the same time period last year), and determine the larger value as the first trend degree, and the smaller value as the second trend degree.

[0106] Step S502: Determine the first number of patients and the second number of patients in the total number of patients who visited the hospital in the current period and the same period before the current period, and the first number of patients is greater than or equal to the second number of patients.

[0107] Specifically, in view of the influence of seasonal factors, when analyzing and comparing the patient visits of each department in the current period and the same period in history, we should not only consider the upward trend of the number of patients visiting the two departments, but also consider whether the number of patients visiting the two departments is at the same level. Therefore, it is necessary to obtain the total number of patients visiting each department in the current period and the same period before. Taking the i-th department as an example, the number of patients visiting the i-th department in each unit time in each period is accumulated to obtain the total number of patients visiting the i-th department in each period. Determine the larger and smaller values ​​of the total number of patients visiting the i-th department in the current period and the same period in history (the same time period last year), and determine the larger value as the first number of patients and the smaller value as the second number of patients.

[0108] Step S503: Determine the ratio of the second trend degree to the first trend degree to obtain a second ratio, and determine the ratio of the second number of patients to the first number of patients to obtain a third ratio.

[0109] Specifically, the second trend degree is used as the numerator of the second ratio, and the first trend degree is used as the denominator of the second ratio to obtain the second ratio, which is also called the ascending trend proximity. Simultaneously, the second number of patients is used as the numerator of the third ratio, and the first number of patients is used as the denominator of the third ratio to obtain the third ratio, which is also called the same-level degree of the number of patients visiting the hospital.

[0110] Step S504: Determine the product of the second ratio and the third ratio to obtain a second product, and determine the second product as the seasonal influence degree of each department.

[0111] Step S505: using the seasonal influence degree to correct the rising trend of the number of patients visiting each department in the current period, and obtain the rising trend of the number of patients visiting each department affected by the season.

[0112] Specifically, when the degree of seasonal influence is high, the corresponding seasonal influence degree value is smaller, and vice versa, the seasonal influence degree value is close to 1. The seasonal influence degree is used to perform a weighted correction on the rising trend of the number of patients visiting each department in the current period. That is, the seasonal influence degree of each department is multiplied by the rising trend of the number of patients visiting each department in the current period, and the resulting product is used as the rising trend of patients visiting each department affected by the season.

[0113] The above method determines the degree of seasonal influence of each department by comparing the rising trend of the number of patients visiting the current period with the total number of patients visiting the previous same period, and uses the seasonal influence to correct the rising trend of the number of patients visiting each department in the current period, and finally accurately obtains the rising trend of patients visiting each department affected by seasonality.

[0114] Step S600: Based on the rising trend of patients visiting the hospital affected by seasons and related consumables data, and combined with the correlation impact of consumables usage between each department and other departments, determine the indirect impact of consumables usage of each department affected by the patient load of other departments.

[0115] Specifically, there is generally a positive correlation between the use of consumables in various departments and the increasing trend in the number of patients visiting the hospital. That is, an increase in the number of patients often leads to an increase in the use of consumables. However, the relationship between the two is not completely linear. Specifically, although an increase in the number of patients may mean more demand for medical treatment, these patients do not always require a large number of medical consumables. For example, some patients may only undergo some simple diagnostic and treatment measures, such as pulse diagnosis, blood pressure measurement, routine physical examinations, etc., and these diagnostic and treatment processes do not necessarily require the consumption of a large number of medical devices or consumables.

[0116] Therefore, based on the rising trend of patients visiting each department affected by seasons and the relevant consumables data, the relationship between the rising trend of consumables usage and the number of patients visiting each department was analyzed. At the same time, combined with the correlation influence of consumables usage between each department and other departments, the impact of the patient load of other departments on each department was determined, thereby obtaining the indirect impact of the consumables usage of each department affected by the patient load of other departments.

[0117] Furthermore, in a possible implementation, determining the indirect impact of consumables usage of each department on the patient load of other departments in step S600 includes:

[0118] Step S601: Determine the consumables balance based on the difference between the total amount of all consumables received by each department in each unit time and the total consumption of all consumables used.

[0119] Specifically, based on the relevant consumables data for each department, we can determine the total amount of consumables received and the total amount of consumables used by each department per unit time (day) within each unit period (month). For any department, we calculate the ratio of the total amount of consumables used to the total amount of consumables received per unit time. We then calculate the absolute difference between this ratio and 1 as the department's consumables balance per unit time.

[0120] Step S602: Based on the upward trend of patients visiting each department due to seasonal influences, and combined with the average distribution level of consumables balances per unit time in each department within at least one recent unit period, determine the degree of impact of the increase in the number of patients visiting each department due to seasonal influences on consumables usage.

[0121] Specifically, the total amount of consumables received by each department every day is the amount determined by the doctor based on the preliminary estimate of the number of patients visiting the hospital. It can roughly reflect the doctor's predicted assessment of the number of consumables required for the recent number of patients. The daily consumables surplus is an actual measurement of the amount of consumables actually used after the patients visited the hospital on that day. Therefore, the larger the daily consumables surplus, the lower the usage of the consumables received based on the doctor's estimate of the recent number of patients. For example, the number of patients increases, but the actual increase in consumables required is not high.

[0122] The average of each department's consumables balance per unit time (daily) within the most recent unit period (the most recent month) was calculated to obtain the department's comprehensive consumables balance for the most recent unit period. The comprehensive consumables balance for each department within the most recent unit period was used as a weight and multiplied by the seasonal increase in patient visits for each department to determine the impact of seasonal increases in patient visits on consumables usage.

[0123] Step S603: normalize the product of the cumulative sum of the consumables usage association influences of each department and other departments and the influence expression degree of each department to obtain the indirect influence degree of consumables usage of each department affected by the patient load of other departments.

[0124] Specifically, the increase in the number of patients visiting each department due to seasonal factors will have an impact on the usage of related consumables used by the department. Therefore, based on the correlation impact of consumable usage between different departments, we can consider the impact of seasonal factors on the actual use of consumables under the influence of department visit load, and the indirect impact on the use of consumables in other departments.

[0125] In a specific implementation, based on the degree of impact of the seasonal increase in the number of patients on consumables usage in each department, and the degree of correlation between each department and other departments' consumables usage, the indirect impact of each department's consumables usage affected by the patient load of other departments can be calculated using the following formula:

[0126] ;

[0127] Where: represents the indirect influence of the consumption of consumables of the i-th department on the patient load of other departments; J represents the total number of all departments in the hospital; It represents the correlation influence between the consumables usage of the i-th department and the j-th department of the hospital; It represents the degree of impact of the increase in the number of patients visiting the i-th department due to seasonal factors on the use of consumables; Represents the standard normalization function, which is used to normalize the value to the range (0,1).

[0128] The above is based on the upward trend of patients visiting each department affected by the season, and combined with the consumables balance of each department at each unit time in the most recent unit time period, to determine the impact of the increase in the number of patients visiting each department affected by the seasonality on the use of consumables. Then, combined with the correlation impact of the consumables use of each department with other departments, the indirect impact of the consumables use of each department affected by the patient load of other departments is finally accurately determined.

[0129] Step S700: Determine the permissible level of consumables use for each department based on the increasing trend of the number of patients visiting each department in the current period, the basic consumables demand, and the indirect impact of consumables use.

[0130] Specifically, the management of consumable usage within each department requires not only a focus on the current number of patients visiting the department, but also the indirect impact between departments. This is especially true when different departments use the same or similar consumables. Overuse by one department should be avoided, leading to shortages or waste in other departments. Therefore, it is crucial to rationally regulate consumable usage within each department to avoid overconsumption and ensure fair allocation of resources.

[0131] To more effectively manage consumables, a strategy can be developed based on each department's theoretical basic consumable usage, combined with dynamic adjustments. Specifically, when a department's basic consumable demand is high, it typically requires a large number of consumables. Therefore, when facing an increase in patient volume, greater attention should be paid to the department's own upward trend in patient visits, and the department's consumable usage tolerance should be appropriately increased. This strategy ensures that the department can promptly meet consumable needs during a surge in patient volume, preventing consumable shortages from impacting treatment outcomes. Conversely, when a department's basic consumable demand is low, meaning its consumable needs are generally limited, greater attention should be paid to the indirect impact of changes in the patient load of other departments. For example, an increase in the patient load of other departments may lead to an increase in demand for the same or similar consumables, indirectly impacting the department's consumable supply. Therefore, in this case, the department's consumable usage tolerance should be reduced to avoid over-reliance on consumables and the resulting waste of resources, while ensuring that other departments receive adequate support during periods of high demand.

[0132] Furthermore, in a specific implementation, determining the consumable usage allowance of each department in step S700 includes:

[0133] Step S701: Determine the product of the increasing trend of the number of patients visiting each department in the current period and the demand for basic consumables to obtain a third product.

[0134] Step S702: Determine the product of the negative correlation mapping value of the basic consumables demand degree of each department and the indirect influence degree of consumables use to obtain a fourth product.

[0135] Step S703: Determine the difference between the third product and the fourth product of each department, thereby obtaining the consumables usage allowance of each department.

[0136] In this specific implementation, based on the current trend of the number of patients visiting each department, the demand for basic consumables, and the indirect impact of consumables use, the consumables usage allowance for each department is calculated using the following formula:

[0137] ;

[0138] Where: Indicates the permissible usage of consumables in the i-th department; Indicates the basic consumables demand of the i-th department; Indicates the upward trend of the number of patients visiting the i-th department; It represents the indirect impact of the consumption of consumables of the i-th department due to the patient load of other departments.

[0139] The above method can adaptively determine the permissible degree of consumables use in each department based on the increasing trend of the number of patients visiting each department in the current period, the demand for basic consumables and the indirect impact of consumables use.

[0140] Step S800: Based on the consumables usage allowance, determine whether to issue a consumables abnormality warning.

[0141] A pre-set tolerance threshold is set. In one specific implementation, the value of the pre-set tolerance threshold is set to 0.65. The consumable usage tolerance of each department is compared with the pre-set tolerance threshold. When the consumable usage tolerance is less than or equal to the pre-set tolerance threshold, it indicates that the consumable usage of the department is normal. Conversely, when the consumable usage tolerance is greater than the pre-set tolerance threshold, it is considered that there is a certain abnormality in the consumable usage of the department, and a consumable abnormality warning is issued to the department, thereby reminding management personnel to conduct corresponding specific review and supervision.

[0142] Based on the same inventive concept, the embodiment of the present invention also provides a hospital consumables use supervision system, such as Figure 2 As shown, the supervision system includes: a memory 201, a processor 202, and a computer program code 203 stored in the memory 201 and running on the processor 202, wherein when the processor 202 executes the computer program code 203, the system can execute any one of the hospital consumables usage supervision methods introduced above.

[0143] In embodiments of the present invention, the system can be divided into functional modules based on the above-described method examples. For example, these modules can correspond to individual functional modules, or two or more functions can be integrated into a single processing module. The integrated modules can be implemented in hardware. It should be noted that the module division in this embodiment is illustrative and represents only a logical functional division. In actual implementation, other division methods may be used.

[0144] Based on the same inventive concept, an embodiment of the present invention also provides a computer program product, which includes: computer program code, which, when running on a computer, enables the computer to execute any one of the hospital consumables usage supervision methods introduced above.

[0145] Based on the same inventive concept, an embodiment of the present invention also provides a computer-readable storage medium, which stores computer program code. When the computer program code runs on a computer, the computer executes any one of the hospital consumables usage supervision methods introduced above.

[0146] It should be noted that the above-described embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the scope of the technical solutions of the various embodiments of the present invention, and should all be included in the protection scope of the present invention.

Claims

1. A method for supervising the use of hospital consumables, characterized in that: The following steps are involved: Obtain relevant consumables data and patient visit-related data from each department of the hospital. The relevant consumables data shall at least include the total amount of all consumables collected and the total amount of all consumables used within each unit time period. The patient visit-related data shall at least include the number of patients who visited the hospital within each unit time period. Analyze the relevant consumables data to determine the basic consumables requirements of each department; Determine the intersection of the main consumables types of any two departments and obtain the main consumables types shared by any two departments; Determine the correlation impact of consumable usage between any two departments based on the difference in consumption of each common consumable type between any two departments within a set time period in the past; Perform curve fitting on the number of patients visiting each department in each unit time in each period to obtain a fitting curve; Determine the maximum point of the fitting curve, and determine the upward trend of the number of patients visiting each department in each period based on the number of patients visiting the maximum point and the time interval between adjacent maximum points; Based on the rising trend of the number of patients visiting each department in the current period, and combined with the differences in the rising trend of the number of patients visiting different periods and the differences between the relevant data of patients' visits, the rising trend of patients visiting each department affected by the season is determined; The balance of consumables is determined based on the difference between the total amount of all consumables received by each department per unit time and the total amount of all consumables used; Based on the upward trend in the number of patients visiting each department due to seasonal factors, and combined with the average distribution level of the consumables balance per unit time in each department within at least one recent unit period, the degree of impact of the increase in the number of patients visiting each department due to seasonal factors on the use of consumables is determined; Normalize the product of the cumulative sum of the consumables usage association impacts of each department and other departments and the impact performance of each department to obtain the indirect impact of consumables usage of each department affected by the patient load of other departments; Determine the product of the increasing trend of the number of patients visiting each department in the current period and the demand for basic consumables to obtain the third product; Determine the product of the negative correlation mapping value of the basic consumables demand of each department and the indirect impact of consumables use to obtain a fourth product; Determine the difference between the third product and the fourth product for each department, thereby obtaining the consumables usage allowance for each department; Based on the permissible usage of consumables, determine whether to issue a consumables abnormality warning; Determine the upward trend of the number of patients visiting each department in each period, including: Determine the ratio of the number of patients corresponding to the latter maximum point and the former maximum point in each of two adjacent maximum points to obtain a first ratio; Determine the product of the negative correlation processing result of the time interval between each two adjacent maximum value points and the first ratio to obtain a first product; The accumulated values ​​of the first products corresponding to all two adjacent maximum points are normalized to obtain the upward trend of the number of patients visiting each department in each period.

2. A method for supervising the use of hospital consumables according to claim 1, characterized in that: The relevant consumables data also includes the types of all consumables in each unit period within the past set time period, as well as the consumption and unit cost of each consumable, to determine the basic consumables demand of each department, including: Determine the intersection of all consumable types in all unit time periods of each department within the past set time period to obtain the main consumable types of each department; Determine the basic consumables demand of each department based on the consumption and unit cost of the main consumables types of each department in the past set time period.

3. A method for supervising the use of hospital consumables according to claim 1, characterized in that: Determine the correlation and impact of consumables usage between any two departments, including: Determine the sum and absolute difference of the consumption of the same common main consumables of any two departments in the past set time period, thereby obtaining the sum and difference of consumption respectively; Determine a relative change value of consumption based on the sum of consumption values ​​and the difference in consumption values; The cumulative value of the relative change value of the consumption of each common main consumable type of any two departments is normalized to obtain the consumable usage correlation impact of any two departments.

4. A method for supervising the use of hospital consumables according to claim 1, characterized in that: Identify seasonal trends in patient visits across departments, including: Determine the maximum and minimum values ​​of the two increasing trend degrees of the number of outpatient visits for each department in the current period and the same period before, and use the maximum value as the first trend degree, and the minimum value as the second trend degree. The same period before refers to the period of the same time period as last year; Determine the first number of patients and the second number of patients in the total number of patients who visited the hospital during the current period and the same period before the current period, where the first number of patients is greater than or equal to the second number of patients; determining a ratio of the second trend degree to the first trend degree to obtain a second ratio, and determining a ratio of the second number of patients to the first number of patients to obtain a third ratio; Determine the product of the second ratio and the third ratio to obtain a second product, and determine the second product as the seasonal influence degree of each department; The seasonal impact degree is used to correct the rising trend of the number of patients visiting each department in the current period, and the rising trend of the number of patients visiting each department affected by the season is obtained.

5. A hospital consumables use supervision system, characterized in that: The method comprises a memory, a processor, and an executable computer program code stored in the memory and runnable on the processor. When the processor executes the computer program code, a method for supervising the use of hospital consumables as described in any one of claims 1 to 4 is executed.

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