Hospital consumable usage supervision system and supervision method

Abstract

The invention relates to the technical field of medical care informatics, in particular to a hospital consumable usage supervision system and method, and the method comprises the steps: obtaining related consumable data of each department of a hospital and patient treatment related data, and determining the basic consumable demand degree of each department through the analysis of the related consumable data; according to the change trend of the patient doctor-seeing related data in different periods, the doctor-seeing patient amount rising trend degree of each department in different periods is determined, and then the consumable use indirect influence degree of each department influenced by doctor-seeing loads of other departments is determined; and based on the doctor-seeing patient amount rising trend degree, the basic consumable demand degree and the consumable use indirect influence degree of each department in the current period, determining the consumable use permission degree of each department, and based on the consumable use permission degree, judging whether to carry out consumable abnormality early warning or not. According to the method, the consumable use permission of each department is determined in a self-adaptive manner, so that the hospital consumable use supervision accuracy is effectively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of healthcare informatics, and particularly to a hospital consumable usage supervision system and a supervision method. Background Art

[0002] With the progress of medical technology, there is a wide variety of consumables used in hospitals, including drugs, instruments, consumables, etc., covering multiple departments and professional fields. This has continuously increased the complexity of consumable management. Especially for consumables with high-frequency use, how to ensure their compliance, timeliness, and accuracy in use has become an important issue.

[0003] There are significant shortcomings in the existing hospital consumable supervision, especially in the inability to establish an elastic supervision model based on dynamic variables such as the increase in the number of patients and the load of departments, resulting in the disconnection between supervision measures and actual needs. Specifically, most current supervision systems rely on the average value of historical data to set warning rules, lacking the ability to respond promptly and accurately to real-time variables, and are prone to "one-size-fits-all" over-supervision or lagged supervision, leading to poor accuracy in hospital consumable usage supervision. Summary of the Invention

[0004] In order to solve the above technical problem of poor accuracy in hospital consumable usage supervision, the purpose of the present invention is to provide a hospital consumable usage supervision system and a supervision method, and the specific technical solutions adopted are as follows: In the first aspect, the present invention provides a hospital consumable usage supervision method, including the following steps: Obtain relevant consumable data of each department in the hospital and relevant patient visit data; Analyze the relevant consumable data to determine the basic consumable demand of each department; Conduct correlation analysis on the relevant consumable data of different departments to determine the correlation influence degree of consumable usage between any two departments; Conduct trend analysis on the relevant patient visit data in different periods to determine the upward trend degree of the number of visiting patients in each department in different periods; Based on the upward trend degree of the number of visiting patients in each department in the current period, and combining the differences between the upward trend degrees of the number of visiting patients in different periods and the differences between the relevant patient visit data, determine the upward trend of the number of visiting patients affected by seasons in each department; Based on the upward trend of the number of visiting patients affected by seasons and the relevant consumable data, and combining the correlation influence degree of consumable usage between each department and other departments, determine the indirect influence degree of consumable usage in each department affected by the visit load of other departments; Based on the upward trend degree of the number of visiting patients in each department in the current period, the basic consumable demand, and the indirect influence degree of consumable usage, determine the allowable degree of consumable usage in each department; Based on the allowable consumption of consumables, determine whether to give an early warning of abnormal consumables.

[0005] Combined with the first aspect above, in some possible implementation manners, the relevant consumable data at least includes the types of all consumables, the consumption amount and unit cost of each type of consumable in each unit time period within a set past time period, and determine the basic consumable demand degrees of each department, including: Determine the intersection of the types of all consumables in all unit time periods within a set past time period for each department, and obtain the main consumable types of each department; Based on the consumption amount and unit cost of the main consumable types within a set past time period for each department, determine the basic consumable demand degrees of each department.

[0006] Combined with the first aspect above, in some possible implementation manners, determine the correlation influence degree of consumable use between any two departments, including: Determine the intersection of the main consumable types of any two departments, and obtain the common main consumable types of any two departments; Based on the consumption amount difference of the common main consumable types within a set past time period for any two departments, determine the correlation influence degree of consumable use between any two departments.

[0007] Combined with the first aspect above, in some possible implementation manners, determine the correlation influence degree of consumable use between any two departments, including: Determine the added value and the absolute value of the difference of the consumption amounts of the same common main consumable type within a set past time period for any two departments, and obtain the added value of the consumption amount and the consumption amount difference value; Based on the added value of the consumption amount and the consumption amount difference value, determine the relative change value of the consumption amount; Perform normalization processing on the cumulative value of the relative change values of the consumption amounts of the common main consumable types of any two departments, and obtain the correlation influence degree of consumable use between any two departments.

[0008] Combined with the first aspect above, in some possible implementation manners, the patient visit-related data at least includes the number of patient visits in each unit time within each period, and determine the rising trend degree of the number of patient visits in each department in different periods, including: Perform curve fitting on the number of patient visits in all unit time within each period for each department, and obtain a fitting curve; Determine the maximum value point of the fitting curve, and according to the number of patient visits corresponding to the maximum value point and the time interval between adjacent maximum value points, determine the rising trend degree of the number of patient visits in each department in each period.

[0009] Combined with the first aspect above, in some possible implementation manners, determining the upward trend degree of the number of patients visiting each department in each period includes: Determining the ratio of the number of patients corresponding to the latter maximum point to the number of patients corresponding to the former maximum point among every two adjacent maximum points to obtain a first ratio; Determining the product of the negative correlation processing result of the time interval between every two adjacent maximum points and the first ratio to obtain a first product; Performing normalization processing on the accumulated value of the first products corresponding to all adjacent two maximum points to obtain the upward trend degree of the number of patients visiting each department in each period.

[0010] Combined with the first aspect above, in some possible implementation manners, determining the upward trend of the number of patients visiting each department affected by seasons includes: Determining a first trend degree and a second trend degree in the upward trend degree of the number of patients visiting each department in the current period and its previous same period, where the first trend degree is greater than or equal to the second trend degree; Determining a first number of patients and a second number of patients in the total number of patients visiting in the current period and its previous same period, where the first number of patients is greater than or equal to the second number of patients; Determining the ratio of the second trend degree to the first trend degree to obtain a second ratio, and determining the ratio of the second number of patients to the first number of patients to obtain a third ratio; Determining the product of the second ratio and the third ratio to obtain a second product, and determining the second product as the degree of influence affected by seasons for each department; Using the degree of influence affected by seasons to correct the upward trend degree of the number of patients visiting each department in the current period to obtain the upward trend of the number of patients visiting each department affected by seasons.

[0011] Combined with the first aspect above, in some possible implementation manners, the relevant consumable data further includes the total quantity of all consumables received and the total consumption quantity of all consumables used within each unit time in each unit time period; determining the indirect influence degree of consumable use affected by the visiting load of other departments for each department includes: Determining the consumable surplus according to the difference between the total quantity of all consumables received and the total consumption quantity of all consumables used by each department within each unit time; Based on the upward trend of the number of patients visiting each department affected by seasons, and combined with the average distribution level of the consumable surplus of each department within each unit time in at least the most recent unit time period, determining the influence manifestation degree of the upward trend of the number of patients visiting each department affected by seasons on consumable use; Normalize the product of the sum of the correlation influence degrees of the consumable usage of each department with other departments and the influence performance degree of each department, to obtain the indirect influence degree of the consumable usage of each department affected by the patient load of other departments.

[0012] Combined with the first aspect above, in some possible implementation manners, determining the allowable degree of consumable usage of each department includes: Determine the product of the rising trend degree of the number of patients visiting each department in the current period and the basic consumable demand degree, to obtain a third product; Determine the product of the negative correlation mapping value of the basic consumable demand degree of each department and the indirect influence degree of consumable usage, to obtain a fourth product; Determine the difference between the third product and the fourth product of each department, so as to obtain the allowable degree of consumable usage of each department.

[0013] In a second aspect, the present invention further provides a hospital consumable usage supervision system, including a memory and a processor. The memory is used to store executable computer program code, and the processor is used to call and run the executable computer program code from the memory, so that the system executes the method in the first aspect above or any one of the possible implementation manners of the first aspect.

[0014] In a third aspect, the present invention further provides a computer program product, which includes: computer program code, when the computer program code runs on a computer, it causes the computer to execute the method in the first aspect above or any one of the possible implementation manners of the first aspect.

[0015] In a fourth aspect, the present invention further provides a computer-readable storage medium, which stores computer program code, when the computer program code runs on a computer, it causes the computer to execute the method in the first aspect above or any one of the possible implementation manners of the first aspect.

[0016] The present invention has the following beneficial effects: By analyzing the relevant consumable data of each department in the hospital, the basic consumable demand of each department is determined to quantify the basic consumable demand of each department; by analyzing the change trend of the relevant patient visit data in different periods, the increasing trend degree of the number of patients visiting each department in different periods is determined to quantify the high or low of the increasing trend of the number of patients visiting different departments in different periods; on the basis of the increasing trend degree of the number of patients visiting in the current period, combined with the differences between the increasing trend degrees of the number of patients visiting in different periods and the differences between the relevant patient visit data, the increasing trend of patients visiting each department affected by seasons is determined to quantify the high or low of the increasing trend of the number of patients visiting different departments affected by seasonal factors in the current period; furthermore, based on the increasing trend of patients visiting each department affected by seasons and the relevant consumable data in the current period, and combined with the influence degree of the consumable use association between each department and other departments, the indirect influence degree of the consumable use affected by the visit load of other departments on each department is determined; finally, based on the increasing trend degree of the number of patients visiting, the basic consumable demand degree and the indirect influence degree of the consumable use in the current period of each department, the consumable use allowance of each department is adaptively determined, and based on the consumable use allowance, it is judged whether to give an abnormal consumable warning. By analyzing the basic consumable demand degree of each department, the present invention takes into account the associated influence of the same consumables used by different departments, and at the same time considers the change of the visit load of each department brought by seasonal influence, comprehensively analyzes the influence of the growth of the number of seasonal visits on the consumable use, and then determines the influence of the consumable use of each department by the visit load of other departments. Finally, the consumable use allowance of each department is adaptively determined, so as to complete the warning supervision of each department, effectively improving the accuracy of the hospital consumable use supervision. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required to be used in 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, without creative efforts, other drawings can also be obtained based on these drawings.

[0018] Figure 1 It is a flowchart of the steps of a method for supervising the use of hospital consumables according to an embodiment of the present invention; Figure 2 It is a schematic structural diagram of a system for supervising the use of hospital consumables according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0019] In order to clearly illustrate the technical features of the solution, the present invention will be elaborated in detail below through specific embodiments and in combination with the drawings.

[0020] Embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although some embodiments of the present invention are shown in the 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 set forth herein. On the contrary, these embodiments are provided to more thoroughly and completely understand the present invention. It should be understood that the drawings and embodiments of the present invention are only for exemplary purposes and are not used to limit the protection scope of the present invention.

[0021] It should be understood that the various steps recited in the method embodiments of the present invention can be executed in a different order 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 regard.

[0022] As used herein, the term "comprising" and its variants are open-ended, that is, "including but not limited to". The term "based on" means "at least partially based on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". The relevant definitions of other terms will be given in the following description.

[0023] It should be noted that the concepts such as "first", "second", etc. mentioned in the present invention are only used to distinguish different devices, modules or units, and are not used to limit the order of the functions performed by these devices, modules or units or the interdependent relationship.

[0024] In the embodiments of the present invention, although the operations or steps are described in a specific order in the drawings, it should not be understood that it is required to perform these operations or steps in the specific order shown or in a serial order, or to perform all the operations or steps shown to obtain the desired result. In the embodiments of the present invention, these operations or steps can be executed serially; they can also be executed in parallel; or a part of these operations or steps can be executed.

[0025] At the same time, it can be understood that the data involved in the technical solution of the present invention (including but not limited to the data itself, the acquisition or use of the data) should comply with the requirements of the corresponding laws, regulations and related provisions. Unless otherwise defined, all technical and scientific terms used in the present invention have the same meaning as commonly understood by those skilled in the technical field to which the present invention belongs, and all parameters or indicators in the formulas involved in the present invention are numerical values after normalization to eliminate the influence of dimensions.

[0026] To solve the technical problem of poor accuracy in the supervision of hospital consumable usage, the embodiments of the present invention provide a hospital consumable usage supervision system and a supervision method. By analyzing the relevant consumable data of each department in the hospital and the relevant data of patient visits, the upward trend degree of the number of patients visiting each department, the basic consumable demand degree, and the indirect influence degree of consumable usage in the current period are determined. Furthermore, the consumable usage allowance of each department is adaptively determined, and based on the consumable usage allowance, it is judged whether to issue an abnormal warning for consumables.

[0027] Next, a hospital consumable usage supervision system and a supervision method provided by the embodiments of the present invention will be introduced in detail with reference to the accompanying drawings.

[0028] Figure 1 The basic flowchart of a hospital consumable usage supervision method provided by the embodiments of the present invention is shown, as Figure 1 shown, and the method specifically includes the following steps: Step S100: Obtain the relevant consumable data of each department in the hospital and the relevant data of patient visits.

[0029] Specifically, due to factors such as department diagnosis and treatment requirements and treatment methods in the hospital, there are differences in the medical consumables used between different departments. For example, there are differences in the types and quantities of consumables. In order to accurately supervise the consumable usage of each department in the hospital, based on the relevant intelligent management system of the hospital, the relevant consumable data of each department in the hospital can be obtained. The relevant consumable data may include data such as the types of medical consumables used annually, monthly, and daily, the consumption quantity of each consumable, the unit cost of each consumable, etc., and the types of medical consumables received annually, monthly, and daily, the total received quantity of each consumable, etc. At the same time, the relevant data of patient visits to each department in the hospital can also be obtained. The relevant data of patient visits may include data such as the number of patients visiting annually, monthly, and daily, and the specific visit time.

[0030] Step S200: Analyze the relevant consumable data to determine the basic consumable demand degree of each department.

[0031] Specifically, due to differences in disease types and diagnostic requirements among different departments, there will also be varying degrees of differences in the amount of consumables used. For example, the consumable usage in the surgical department and the emergency department is usually much higher than that in the internal medicine department or the outpatient department. Therefore, when supervising the consumables of different departments, it is necessary to fully consider the normal consumable quantity of each department itself.

[0032] To better understand the consumption patterns of the overall equipment resources in each department, the basic consumable performance of each department can be analyzed for its main consumables. This is because main consumables usually have a high usage frequency, a relatively high unit cost, and a significant impact on the department's operation and cost. By analyzing the main consumables, the focus can be on the aspects affecting the department's operation and cost, so as to better monitor and manage the department's consumables.

[0033] Based on the relevant consumable data of each department, further, in a possible implementation manner, determining the basic consumable demand of each department in step S200 includes: Step S201: Determine the intersection of all the types of consumables in all unit time periods within the past set time period for each department to obtain the main consumable types of each department.

[0034] Specifically, based on the main consumable types used by each department, as well as the usage quantity and unit cost of each main consumable, the theoretical consumable proportion of each department is evaluated. For this purpose, the set time period is set as one year, and the unit time period is set as one month. Based on the relevant consumable data of each department, determine all the types of consumables in each month within the past year for each department, so as to obtain the consumable name sequence of each month for each department in the past year. For each department, take the intersection of the consumable name sequences of each month within the past year to obtain the main consumable types of each department.

[0035] Step S202: Determine the basic consumable demand of each department based on the consumption quantity and unit cost of the main consumable types in each department within the past set time period.

[0036] Specifically, for all the main consumables of each department, based on their consumption quantity and unit cost within the past year, determine the basic consumable demand of each department. When the values of the consumption quantity and unit cost are larger, it indicates that the theoretical consumable proportion of this department is higher, and the corresponding value of the basic consumable demand is larger.

[0037] In a specific implementation manner, the basic consumable demand of each department is calculated through the following formula: ; In the formula: represents the basic consumable demand of the i-th department; M represents the number of types of main consumables of the i-th department; represents the consumption quantity of the m-th main consumable of the i-th department within the past set time period (the past year); represents the unit cost coefficient of the m-th main consumable of the i-th department, which is obtained by normalizing the unit cost of the m-th main consumable of the i-th department using the standard normalization function; Represents the standard normalization function, which is used to normalize the numerical value to the range of (0, 1).

[0038] In the above calculation formula, by taking the unit cost coefficient of each major consumable in each department as the weight, the consumption of all major consumables in the past year is weighted and summed and normalized, so as to comprehensively determine the basic consumable demand degree of each department.

[0039] Step S300: Conduct correlation analysis on the relevant consumable data of different departments to determine the influence degree of consumable use association between any two departments.

[0040] Specifically, the amount of consumables in each department in the hospital not only affects its own operation, but also affects other departments associated with its consumable use. This is because the same consumables are used during diagnosis and treatment between different departments. For example, the emergency department usually needs to frequently use consumables such as gloves and disinfectants, and the general outpatient department also needs to use a large amount of gloves and disinfectants. If the number of patients in one of the departments suddenly increases due to some reason, it may lead to a large consumption of this kind of consumable, and then due to inventory problems, there may be a shortage of consumables in multiple departments. Therefore, in order to accurately supervise the medical consumables of each department in the hospital, it is also necessary to analyze the influence of consumables of multi-department associated equipment.

[0041] Furthermore, in a possible implementation manner, determining the influence degree of consumable use association between any two departments in the above step S300 includes: Step S301: Determine the intersection of the major consumable types of any two departments to obtain the common major consumable types of any two departments.

[0042] Specifically, based on the major consumable types of each department, determine the intersection of the major consumable types of the i-th and j-th departments, so as to obtain the common major consumable types of the i-th and j-th departments.

[0043]

[0044] Specifically, for the i-th and j-th departments, the more types of common major consumables they have and the closer the consumption of each common major consumable is, it means that the higher consumption of consumables caused by a sudden increase in patients in any one of the departments has a greater impact on the other department, and the value of the influence degree of consumable use association between the i-th and j-th departments is larger.

[0045] ​Further, in a specific implementation manner, determining the correlation influence degree of consumable usage between any two departments includes: determining the sum value and the absolute value of the difference of the consumption amounts of the same shared main consumable types between any two departments within a set past time period, obtaining the sum value of consumption amounts and the consumption difference value; determining the relative change value of consumption amounts based on the sum value of consumption amounts and the consumption difference value; normalizing the accumulated value of the relative change values of the consumption amounts of each shared main consumable type between any two departments to obtain the correlation influence degree of consumable usage between any two departments.

[0046] In this specific implementation manner, the correlation influence degree of consumable usage between any two departments can be calculated by the following formula: ; In the formula: represents the correlation influence degree of consumable usage between the i-th department and the j-th department of the hospital; represents the consumption amount of the g-th shared main consumable type among all the main consumable types of the i-th department and the j-th department within a set past time period (the past year); represents the consumption amount of the g-th shared main consumable type among all the main consumable types of the j-th department and the i-th department within a set past time period (the past year); represents the total number of all the main consumable types of the i-th department and the j-th department within a set past time period (the past year); represents an infinitesimal greater than 0, used to prevent the denominator from being zero; represents a standard normalization function, used to normalize the value to the range of (0, 1).

[0047] By analyzing the consumption differences of each shared main consumable type between any two departments within a set past time period as described above, the correlation influence degree of consumable usage between any two departments can be determined.

[0048] Step S400: Analyze the change trend of the patient visit-related data in different periods to determine the rising trend degree of the number of patients visiting each department in different periods.

[0049] Specifically, seasonal factors can significantly affect the prevalence of diseases. Especially in seasons with large temperature changes or significant humidity fluctuations, it often leads to a peak in the spread of certain diseases (such as influenza, respiratory infections, etc.). The prevalence of these diseases not only causes a sharp increase in the number of patients visiting relevant departments, but may also trigger changes in patients' medical needs, further exacerbating the consumption of medical resources. Specifically, with the prevalence of infectious diseases such as influenza and respiratory infections, the number of patients visiting the hospital surges, and the pressure faced by each relevant department in the hospital (such as the respiratory department, infectious disease department, emergency department, etc.) increases accordingly. In this case, the demand for consumables within the department, such as antibiotics, masks, disinfectants, test reagents, disposable medical devices, etc., also increases significantly.

[0050] Therefore, based on the patient visit-related data of each department, the past nearly three months are set as the current period, and each day within the past nearly three months is taken as a unit of time. Thus, the number of patients visiting each unit of time within the current period can be determined. Based on the changes in the number of patients visiting each unit of time within this current period, the upward trend degree of the number of patients visiting each department in the current period can be determined. For example, when the number of patients visiting each unit of time within the current period shows a gradually increasing trend, the value of the upward trend degree of the number of patients visiting is larger. Similarly, taking the same historical period (such as the same time period last year) as a period, based on the changes in the number of patients visiting each unit of time within this period, the upward trend degree of the number of patients visiting each department in this period can also be determined.

[0051] Furthermore, in a possible implementation manner, determining the upward trend degree of the number of patients visiting each department in different periods in step S400 above includes: Step S401: Perform curve fitting on the number of patients visiting each department within all unit times in each period to obtain a fitted curve.

[0052] Specifically, taking the current period (the past nearly three months) as an example, perform curve fitting on the number of patients visiting each department within each unit time (i.e., each day) in the past nearly three months by the least squares method to determine the corresponding fitted curve for this period. Since the specific implementation process of curve fitting by the least squares method belongs to the prior art, it will not be elaborated here.

[0053] Step S402: Determine the maximum point of the fitted curve, and based on the number of patients corresponding to the maximum point and the time interval between adjacent maximum points, determine the upward trend degree of the number of patients visiting each department in each period.

[0054] Specifically, by screening the maximum values of the fitting curve, all the maximum points in the fitting curve can be determined. For the data performance where the overall number of patients seeking medical treatment shows an upward trend, it can be reflected by analyzing the degree of increase in the number of patients seeking medical treatment corresponding to the maximum points and the proximity in time between the maximum points. When the number of patients seeking medical treatment corresponding to the maximum points shows an upward trend, the higher the increase rate, and the higher the proximity in time between the maximum points, it indicates that the upward trend of the overall number of patients seeking medical treatment is more obvious, and the value of the upward trend degree of the number of patients seeking medical treatment in the corresponding department during this period is larger.

[0055] Further, in a specific implementation manner, determining the upward trend degree of the number of patients seeking medical treatment in each department during each period includes: determining the ratio of the number of patients seeking medical treatment corresponding to the latter maximum point to the number of patients seeking medical treatment corresponding to the former maximum point among every two adjacent maximum points to obtain a first ratio; determining the product of the negative correlation processing result of the time interval between every two adjacent maximum points and the first ratio to obtain a first product; performing normalization processing on the cumulative value of the first products corresponding to all adjacent two maximum points to obtain the upward trend degree of the number of patients seeking medical treatment in each department during each period.

[0056] In this specific implementation manner, taking the current period (the past nearly three months) as an example, the upward trend degree of the number of patients seeking medical treatment in each department during each period can be calculated through the following formula: ; In the formula: represents the upward trend degree of the number of patients seeking medical treatment in the i-th department during the current period (the past nearly three months); N represents the total number of maximum points in the fitting curve of the number of patients seeking medical treatment in the i-th department during the current period; represents the number of patients seeking medical treatment corresponding to the (n + 1)-th maximum point of the i-th department; represents the number of patients seeking medical treatment corresponding to the n-th maximum point of the i-th department; represents the time interval (in days) between the n-th and (n + 1)-th maximum points of the i-th department; represents the negative correlation processing result of the time interval between the n-th and (n + 1)-th maximum points of the i-th department; represents the standard normalization function, which is used to normalize the value to the range of (0, 1).

[0057] By analyzing the ratio of the number of patients visiting the doctor corresponding to the latter maximum point to the former maximum point among each adjacent pair of maximum points in the fitting curve, as well as the time interval between each adjacent pair of maximum points, it is possible to determine the upward trend degree of the number of patients visiting each department in the current period, that is, recently. In the same way, it is also possible to determine the upward trend degree of the number of patients visiting in the corresponding historical same period (the same time period last year) to quantify the upward trend degree of the number of patients visiting the doctor.

[0058] Step S500: Based on the upward trend degree of the number of patients visiting each department in the current period, and combining the differences between the upward trend degrees of the number of patients visiting in different periods and the differences between the relevant data of patients' visits, determine the upward trend of the number of patients visiting each department affected by seasons.

[0059] Specifically, a comparative analysis can be carried out between the current period and the same period in the past to reflect whether the upward trend performance of the number of patients visiting each department in the current period is caused by seasonal factors, so as to further reflect the intuitive impact brought by the increase in the number of patients visiting in the current period.

[0060] Furthermore, in a possible implementation manner, determining the upward trend of the number of patients visiting each department affected by seasons in the above step S500 includes: Step S501: Determine the first trend degree and the second trend degree in the upward trend degrees of the number of patients visiting each department in the current period and its previous same period, where the first trend degree is greater than or equal to the second trend degree.

[0061] Specifically, taking the i-th department as an example, determine the larger value and the smaller value in the upward trend degrees of the number of patients visiting the i-th department in the current period and the historical same time 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.

[0062] Step S502: Determine the first number of patients and the second number of patients in the total number of patients visiting in the current period and its previous same period, where the first number of patients is greater than or equal to the second number of patients.

[0063] Specifically, in view of the influence of seasonal factors, when analyzing and comparing the patient visit situations of each department in the current period and the same historical period, not only should the increasing trend degrees of the number of patients visiting both periods be considered, but also whether the numbers of patients visiting are at the same level. Therefore, it is necessary to obtain the total number of patients visiting each department in the current period and its previous same period. Taking the i-th department as an example, the number of patients visiting each unit time in each period of the i-th department is accumulated to obtain the total number of patients visiting the i-th department in each period. Determine the larger value and the smaller value among the total number of patients visiting the i-th department in the current period and the same historical time period (the same time period last year), and determine the larger value as the first patient number and the smaller value as the second patient number.

[0064] 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 patient number to the first patient number to obtain a third ratio.

[0065] Specifically, take the second trend degree as the numerator of the second ratio and the first trend degree as the denominator of the second ratio to obtain the second ratio, which is also called the rising trend proximity. At the same time, take the second patient number as the numerator of the third ratio and the first patient number 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.

[0066] 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 degree of seasonal influence of each department.

[0067] Step S505: Use the degree of seasonal influence to correct the increasing trend degree of the number of patients visiting each department in the current period to obtain the increasing trend of the number of patients visiting each department affected by seasons.

[0068] Specifically, when the degree of influence of seasonal factors is higher, the value of the corresponding degree of seasonal influence is smaller; on the contrary, the value of the degree of seasonal influence is close to 1. Use the degree of seasonal influence to perform weighted correction on the increasing trend degree of the number of patients visiting each department in the current period, that is, multiply the degree of seasonal influence of each department by the increasing trend degree of the number of patients visiting each department in the current period, and take the obtained product value as the increasing trend of the number of patients visiting each department affected by seasons.

[0069] By comparing the increasing trend degree of the number of patients visiting and the total number of patients visiting between the current period and its previous same period, the degree of seasonal influence of each department is determined, and the increasing trend degree of the number of patients visiting each department in the current period is corrected by using this degree of seasonal influence, so as to finally accurately obtain the increasing trend of the number of patients visiting each department affected by seasons.

[0070] Step S600: Based on the upward trend of the number of patients seeking medical treatment affected by seasons and the relevant consumable data, and in combination with the influence degree of the consumable usage of each department on that of other departments, determine the indirect influence degree of the consumable usage of each department affected by the patient load of other departments.

[0071] Specifically, there is usually a positive correlation between the consumable usage of each department and the upward trend of the number of patients seeking medical treatment. That is, an increase in the number of patients often leads to an increase in the consumable usage. However, the relationship between the two is not completely linear. Specifically, although an increase in the number of patients may mean more medical treatment needs, these patients do not always require a large amount of medical consumables. For example, some patients may only undergo some simple medical measures, such as feeling the pulse, measuring blood pressure, and routine physical examinations, and these medical treatment processes do not necessarily consume a large amount of medical devices or consumables.

[0072] Therefore, based on the upward trend of the number of patients seeking medical treatment affected by seasons and the relevant consumable data of each department, analyze the relationship between the consumable usage of each department and the upward trend of the number of patients seeking medical treatment. At the same time, in combination with the influence degree of the consumable usage of each department on that of other departments, determine the influence of the patient load of other departments on each department, so as to obtain the indirect influence degree of the consumable usage of each department affected by the patient load of other departments.

[0073] Further, in a possible implementation manner, determining the indirect influence degree of the consumable usage of each department affected by the patient load of other departments in the above step S600 includes: Step S601: Determine the consumable surplus based on the difference between the total receipt amount of all consumables received by each department within each unit time and the total consumption amount of all consumables used.

[0074] Specifically, based on the relevant consumable data of each department, the total receipt amount of all consumables received by each department within each unit time (each day) within each unit period (one month) and the total consumption amount of all consumables used can be determined. For any department, calculate the ratio of the total consumption amount of all consumables used by the department within each unit time to the total receipt amount of all consumables received, and calculate the absolute value of the difference between this ratio and the value 1 as the consumable surplus of the department within each unit time.

[0075] Step S602: Based on the upward trend of the number of patients seeking medical treatment affected by seasons in each department, and in combination with the average distribution level of the consumable surplus of each department within each unit time in at least the recent one unit period, determine the influence manifestation degree of the increase in the number of patients seeking medical treatment affected by seasons on the consumable usage of each department.

[0076] Specifically, the total amount of consumables received by each department every day is the amount determined by the doctor based on a preliminary estimate of the number of patients seen, which can roughly reflect the doctor's predicted assessment of the amount of consumables required based on the recent patient volume performance. The daily balance of consumables is the actual measurement of the amount of consumables actually used after the patients are seen on the same day. Therefore, the larger the daily balance of consumables, the lower the utilization rate of the consumables received based on the doctor's estimate of the recent patient volume. For example, when the number of patients increases, the degree of increase in the actual need for consumables is not high.

[0077] Calculate the average of the daily consumable balances of each department at each unit time (each day) within the most recent unit period (the most recent month) for each department to obtain the comprehensive consumable balance of each department within the most recent unit period. Use the comprehensive consumable balance of each department within the most recent unit period as the weight and multiply it by the upward trend of the number of patients seen in each department affected by the season to obtain the influence performance degree of the increase in the number of patients seen in each department affected by the season on the consumable usage.

[0078] Step S603: Normalize the product of the sum of the associated influence degrees of consumable usage between each department and other departments and the influence performance degree of each department to obtain the indirect influence degree of consumable usage of each department affected by the patient load of other departments.

[0079] Specifically, the increase in the number of patients seen in each department affected by the season will affect the usage amount of related consumables used by that department. Therefore, based on the associated influence degrees of consumable usage between different departments, the indirect influence on the actual consumable usage affected by the patient load of the department due to seasonal factors and the consumable usage of other departments can be considered.

[0080] In a specific implementation manner, based on the influence performance degree of the increase in the number of patients seen in each department affected by the season on the consumable usage and the associated influence degrees of consumable usage between each department and other departments, the indirect influence degree of consumable usage of each department affected by the patient load of other departments can be calculated through the following formula: ; In the formula: represents the indirect influence degree of consumable usage of the i-th department affected by the patient load of other departments; J represents the total number of all departments in the hospital; represents the associated influence degree of consumable usage between the i-th department and the j-th department in the hospital; represents the influence performance degree of the increase in the number of patients seen in the i-th department affected by the season on the consumable usage; represents the standard normalization function, which is used to normalize the value to the range of (0, 1).

[0081] Based on the upward trend of the number of patients visiting each department affected by seasons, and combined with the balance of consumables in each unit time of each department in the recent unit period, the influence degree of the increase in the number of patients visiting each department affected by seasons on the use of consumables is determined. Furthermore, by combining the influence degree of the use of consumables associated with each department on other departments, the indirect influence degree of the use of consumables affected by the visit load of other departments in each department is finally accurately determined.

[0082] Step S700: Based on the upward trend degree of the number of patients visiting each department in the current period, the basic consumable demand degree, and the indirect influence degree of the use of consumables, determine the allowable degree of consumable use for each department.

[0083] Specifically, the management of the use of consumables in each department not only needs to focus on the current number of patients visiting the department, but also must consider the indirect influence among departments. Especially when the same or similar consumables are used in different departments, it is necessary to avoid shortages or waste of consumables in other departments due to excessive use in a certain department. Therefore, it is crucial to reasonably regulate the consumption of consumables in each department, avoid overconsumption, and ensure the fair distribution of resources.

[0084] In order to more effectively supervise consumables, a strategy can be formulated based on the theoretical degree of basic consumable use in each department and in combination with a dynamic adjustment method. Specifically, when the basic consumable demand degree of a department is large, it means that the department usually requires more consumables. Therefore, in the face of an increase in the number of patients, more attention needs to be paid to the upward trend of the number of patients visiting the department itself, and then the allowable degree of consumable use in the department is appropriately increased. This strategy can ensure that when the number of patients surges, the department can meet the consumable demand in a timely manner and avoid affecting the treatment effect due to insufficient consumables. On the contrary, when the basic consumable demand degree of a department is small, that is, the consumable demand of the department is usually relatively limited. At this time, more attention should be paid to the indirect influence of the change in the visit load of other departments on this department. For example, when the visit load of other departments increases, it may lead to an increase in the demand for the same or similar consumables, thereby indirectly affecting the consumable supply of this department. Therefore, at this time, the allowable degree of consumable use in this department needs to be reduced to avoid over-reliance on consumables and causing resource waste, while ensuring that other departments can obtain sufficient support during the high-demand period.

[0085] Furthermore, in a specific implementation manner, determining the allowable degree of consumable use for each department in the above step S700 includes: Step S701: Determine the product of the upward trend degree of the number of patients visiting each department in the current period and the basic consumable demand degree to obtain a third product.

[0086] Step S702: Determine the product of the negatively correlated mapping value of the basic consumable demand degree of each department and the indirect influence degree of the use of consumables to obtain a fourth product.

[0087] Step S703: Determine the difference between the third product and the fourth product of each department, so as to obtain the allowable consumable usage of each department.

[0088] In this specific implementation method, based on the upward trend degree of the number of patients visiting each department in the current period, the basic consumable demand degree, and the indirect influence degree of consumable usage, the allowable consumable usage of each department is calculated through the following formula: ; In the formula: represents the allowable consumable usage of the i-th department; represents the basic consumable demand degree of the i-th department; represents the upward trend degree of the number of patients visiting the i-th department; represents the indirect influence degree of consumable usage of the i-th department affected by the visiting load of other departments.

[0089] Based on the upward trend degree of the number of patients visiting each department in the current period, the basic consumable demand degree, and the indirect influence degree of consumable usage, the allowable consumable usage of each department can be adaptively determined.

[0090] Step S800: Based on the allowable consumable usage, determine whether to issue a consumable anomaly warning.

[0091] A set allowable degree threshold is preset. In a specific implementation method, the value of the set allowable degree threshold is set to 0.65. Compare the allowable consumable usage of each department with the set allowable degree threshold. When the allowable consumable usage is less than or equal to the set allowable degree threshold, it indicates that the consumable usage of this department is normal; otherwise, when the allowable consumable usage is greater than the set allowable degree threshold, it is considered that there is a certain anomaly in the consumable usage of this department, and a consumable anomaly warning is issued for this department to remind the management personnel to conduct corresponding specific reviews and supervision.

[0092] Based on the same inventive concept, an embodiment of the present invention also provides a hospital consumable usage supervision system, as Figure 2 shown. This supervision system includes: a memory 201, a processor 202, and computer program code 203 stored in the memory 201 and running on the processor 202. Among them, when the processor 202 executes the computer program code 203, the system can execute any one of the hospital consumable usage supervision methods described above.

[0093] Embodiments of the present invention can divide the system into functional modules according to the above method examples. For example, each functional module can be corresponded, or two or more functions can be integrated into one processing module. The above integrated module can be implemented in the form of hardware. It should be noted that the division of modules in this embodiment is illustrative, only a logical function division, and there can be other division methods in actual implementation.

[0094] Based on the same inventive concept, embodiments of the present invention also provide a computer program product, which includes: computer program code. When the computer program code runs on a computer, it causes the computer to execute any one of the hospital consumable use supervision methods described above.

[0095] Based on the same inventive concept, embodiments of the present invention also provide a computer-readable storage medium, which stores computer program code. When the computer program code runs on a computer, it causes the computer to execute any one of the hospital consumable use supervision methods described above.

[0096] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the 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, Including the following steps: Obtain relevant consumable data of each department in the hospital and relevant patient visit data. The relevant consumable data includes at least the total quantity of all consumables received and the total consumption of all consumables used within each unit time period. The relevant patient visit data includes at least the number of patients visiting within each unit time period during each period; Analyze the relevant consumable data to determine the basic consumable demand degree of each department; Determine the intersection of the main consumable types of any two departments to obtain the common main consumable types of any two departments; Based on the consumption difference of the common main consumable types of any two departments within the past set time period, determine the influence degree of the consumable usage association between any two departments; Perform curve fitting on the number of patients visiting each department within all unit time periods during each period to obtain a fitting curve; Determine the maximum point of the fitting curve. Based on the number of patients corresponding to the maximum point and the time interval between adjacent maximum points, determine the rising trend degree of the number of patients visiting each department during each period; Based on the rising trend degree of the number of patients visiting each department in the current period, and combining the difference between the rising trend degrees of the number of patients visiting in different periods and the difference between the relevant patient visit data, determine the rising trend of the number of patients visiting each department affected by seasons; Based on the difference between the total quantity of all consumables received and the total consumption of all consumables used by each department within each unit time, determine the consumable balance; Based on the rising trend of the number of patients visiting each department affected by seasons, and combining the average distribution level of the consumable balance of each department within each unit time in the recent at least one unit time period, determine the influence degree of the rising number of patients visiting each department affected by seasons on consumable usage; Normalize the product of the sum of the influence degrees of the consumable usage association between each department and other departments and the influence degree of each department to obtain the indirect influence degree of the consumable usage of each department affected by the visit load of other departments; Determine the product of the rising trend degree of the number of patients visiting each department in the current period and the basic consumable demand degree to obtain a third product; Determine the product of the negative correlation mapping value of the basic consumable demand degree of each department and the indirect influence degree of the consumable usage to obtain a fourth product; Determine the difference between the third product and the fourth product of each department to obtain the consumable usage allowance of each department; Based on the consumable usage allowance, determine whether to issue an abnormal consumable warning.

2. The hospital consumable usage supervision method according to claim 1, wherein The relevant consumable data further includes the types of all consumables within each unit time period in the past set time period, as well as the consumption quantity and unit cost of each type of consumable. Determining the basic consumable demand degree of each department includes: Determine the intersection of the types of all consumables within all unit time periods in the past set time period for each department to obtain the main consumable types of each department; Based on the consumption quantity and unit cost of the main consumable types of each department within the past set time period, determine the basic consumable demand degree of each department.

3. The hospital consumable usage supervision method according to claim 1, characterized in that, Determining the influence degree of the consumable usage association between any two departments includes: Determine the sum value and the absolute value of the difference of the consumption amounts of the same shared main consumable types for any two departments within a set past time period, to obtain the sum value of the consumption amounts and the difference value of the consumption amounts; Based on the sum value of the consumption amounts and the difference value of the consumption amounts, determine the relative change value of the consumption amounts; Perform a normalization process on the cumulative value of the relative change values of the consumption amounts of the shared main consumable types for any two departments, to obtain the correlation influence degree of the consumable usage for any two departments.

4. A hospital consumable usage supervision method according to claim 1, characterized in that Determine the upward trend degree 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 to the number of patients corresponding to the former maximum point among every two adjacent maximum points, to obtain the first ratio; Determine the product of the negative correlation processing result of the time interval between every two adjacent maximum points and the first ratio, to obtain the first product; Perform a normalization process on the cumulative value of the first products corresponding to all adjacent two maximum points, to obtain the upward trend degree of the number of patients visiting each department in each period.

5. The hospital consumable usage supervision method according to claim 1, wherein, Determine the upward trend of the number of patients visiting each department affected by seasons, including: Determine the first trend degree and the second trend degree in the upward trend degrees of the number of patients visiting each department in the current period and its previous same period, where the first trend degree is greater than or equal to the second trend degree; Determine the first number of patients and the second number of patients in the total number of patients visiting in the current period and its previous same period, where the first number of patients is greater than or equal to the second number of patients; Determine the ratio of the second trend degree to the first trend degree, to obtain the second ratio, and determine the ratio of the second number of patients to the first number of patients, to obtain the third ratio; Determine the product of the second ratio and the third ratio, to obtain the second product, and determine the second product as the seasonal influence degree of each department; Use the seasonal influence degree to correct the upward trend degree of the number of patients visiting each department in the current period, to obtain the upward trend of the number of patients visiting each department affected by seasons.

6. A hospital consumable usage supervision system, characterized in that, It includes a memory, a processor, and executable computer program code stored in the memory and executable on the processor. When the processor executes the computer program code, it executes a hospital consumable usage supervision method according to any one of claims 1 to 5.

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