Medical equipment collecting and dispatching management method and device and storage medium

Abstract

The invention relates to the technical field of medical equipment management, in particular to a medical equipment collecting and dispatching management method and device and a storage medium, and the method comprises the steps: collecting the operation data of medical equipment of each hospital, and obtaining the grade of each hospital and the position distance between the hospitals, the medical equipment is classified according to the operation data of the medical equipment in the monitoring period, the operation state of the medical equipment is determined, then an equipment iteration model of each hospital is established, and secondary classification is performed on the medical equipment according to the classification result of the medical equipment and the hospital level. The method comprises the following steps: acquiring the operation state of a medical device, fusing the operation state of the medical device and a device iteration model of a hospital to generate a collection scheme of the hospital, sending the collection scheme of each hospital to a user, updating the collection scheme according to the position distance between the hospitals, and iterating the updating process of the collection scheme according to the number of departments of each hospital. According to the invention, the efficiency of collecting and dispatching the medical equipment is effectively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of medical equipment management, and in particular to a method, device and storage medium for centralized procurement and scheduling management of medical equipment. Background Art

[0002] With the growing demand for medical services and technological advancements, medical institutions are increasingly demanding various types of medical equipment. Traditional methods of medical equipment procurement and scheduling management often rely on empirical judgment and lack scientific data support, leading to problems such as wasted resources, increased costs, and low equipment utilization. Therefore, how to improve the accuracy of medical equipment procurement decisions and the efficiency of equipment utilization through advanced information technology has become a pressing issue.

[0003] Chinese Patent Publication No. CN114693388A discloses a joint procurement method, device, and medium. The method includes: receiving product procurement details from a supplier node; receiving joint procurement requests from multiple buyer nodes and generating multiple corresponding sub-business lists; merging the sub-business lists for the same target product into a master business list and obtaining the total procurement quantity of the target product in the master business list; obtaining the procurement price of the target product in the master business list based on the product information in the product procurement details and the procurement price corresponding to each procurement quantity gradient; determining that the procurement price of the target product is within a preset procurement price range; generating a joint procurement plan based on the total procurement quantity and the procurement price of the target product, obtaining digital signatures of the supplier and relevant buyers on the joint procurement plan, and generating a purchase order. Through joint procurement, the product procurement details enable buyers to purchase the required products at preferential prices, thereby reducing procurement costs. Therefore, this invention, when conducting centralized procurement of products, conducts a specific price analysis to derive a purchasing plan, but does not analyze the nature of the product itself, resulting in low efficiency in centralized procurement and scheduling. Summary of the Invention

[0004] The object of the present invention is to provide a method, device and storage medium for centralized procurement and scheduling management of medical equipment to solve at least one of the problems existing in the prior art.

[0005] To achieve the above objectives, the present invention provides a method for centralized procurement and scheduling management of medical equipment, which is characterized by comprising:

[0006] Classify medical equipment based on their operating data within the monitoring period;

[0007] Based on the classification results of each medical device and combined with the operating data of the medical device, the operating status of the medical device is determined, and then the equipment iteration model of each hospital is established;

[0008] The classification results of medical equipment are combined with the hospital level to conduct a secondary classification of medical equipment. Then, the operating status of medical equipment and the hospital's equipment iteration model are integrated to generate the hospital's centralized procurement plan.

[0009] The centralized procurement plan of each hospital is sent to users, and the centralized procurement plan is updated based on the location distance between the hospitals. The updating process of the centralized procurement plan is also iterated based on the number of departments in each hospital.

[0010] Optionally, the hospital's equipment iterative model building method includes:

[0011] Determine the operating status of the medical device based on the classification results of each medical device and in combination with the operating data of the medical device;

[0012] Establish an equipment iteration model for each hospital based on the operating status of the medical equipment belonging to each hospital to output the equipment iteration status of each hospital;

[0013] When determining the operating status of each medical device, the operating status index α(i, j) of each medical device is calculated, and the operating status of the medical device is determined by combining α(i, j) with the classification result of the medical device, and then the device status index of the medical device is established: the operating status of the medical device is determined to be normal or abnormal, and when the device type is a commonly used medical device and the operating status of the medical device is normal, the device status index of the medical device is set to β1(i, j); when the device type is a commonly used medical device and the operating status of the medical device is abnormal, the device status index of the medical device is set to β2(i, j); when the device type is a non-common device and the operating status of the medical device is normal, the device status index of the medical device is set to β3(i, j); when the device type is a non-common device and the operating status of the medical device is abnormal, the device status index of the medical device is set to β4(i, j).

[0014] Optionally, establish an equipment iteration model for each hospital and output the equipment iteration status of each hospital;

[0015] Calculate the equipment iteration index γ(i) of each hospital, and set the value of γ(i) to be the ratio of the sum of the equipment status indexes of all medical devices in the i-th hospital to the number of medical devices in the hospital;

[0016] The equipment iteration index γ(i) of each hospital is compared with the set equipment iteration index, and the equipment iteration status of the hospital that exceeds the preset equipment iteration index is judged as abnormal; otherwise, it is judged as normal.

[0017] Optionally, the centralized procurement plan generation method includes:

[0018] The medical equipment is classified again based on the classification results and hospital level;

[0019] Generate a list of centralized procurement categories for each hospital based on the secondary classification results of medical equipment, the operating status of medical equipment, and the equipment iteration status of each hospital;

[0020] The operating status of each hospital is determined based on the number of patients n(i) received by each hospital during the monitoring period and the list of centralized procurement categories, and then the centralized procurement quantity list of each hospital is generated based on the operating status of each hospital;

[0021] When performing secondary classification on medical equipment, medical equipment is classified into Class I equipment, Class II equipment, Class III equipment, Class IV equipment, Class V equipment and Class VI equipment, and a basic weight wf is set for each type of equipment, where f is a digital subscript, f = 1, 2, 3, 4, 5, 6.

[0022] Optionally, the process of generating a list of centralized procurement categories for each hospital is as follows:

[0023] When the equipment iteration status of the hospital is normal, if the operating status of the equipment is normal and βz(i,j)×wf is less than H1, the medical equipment will not be included in the hospital's centralized procurement list; if the operating status of the equipment is normal and βz(i,j)×wf is greater than or equal to H1, the medical equipment will be included in the hospital's centralized procurement list; if the operating status of the equipment is abnormal, the medical equipment will be included in the hospital's centralized procurement list;

[0024] When the equipment iteration status of a hospital is abnormal, if the operating status of the equipment is normal and βz(i,j)×wf is less than H2, the medical equipment will not be included in the hospital's centralized procurement list; if the operating status of the equipment is normal and βz(i,j)×wf is greater than or equal to H2, the medical equipment will be included in the hospital's centralized procurement category list; if the operating status of the equipment is abnormal, the medical equipment will be included in the hospital's centralized procurement category list;

[0025] Among them, H1 is the first preset centralized procurement weight, H2 is the second preset centralized procurement weight, and H1<H2.

[0026] Optionally, the specific process of generating the centralized procurement quantity list for each hospital is as follows: if n(i) is less than N(i), the centralized procurement quantity of each medical device of the hospital is set to n1(i,j), n1(i,j)=n(i,j); if n(i) is greater than or equal to N(i), the centralized procurement quantity of each medical device of the hospital is set to n2(i,j), n2(i,j)=n(i,j)×{1+[n(i)-N(i)] / N(i)};

[0027] Where n(i) is the number of patients received by the i-th hospital during the monitoring period, N(i) is the maximum number of patients received by the i-th hospital, and n(i,j) is the number of the j-th type of medical equipment in the i-th hospital during the monitoring period.

[0028] Optionally, the centralized procurement list update method includes:

[0029] Combine the centralized procurement category list and centralized procurement quantity list of each hospital into a centralized procurement list, and send the centralized procurement plan of each hospital to the user;

[0030] Construct a location correlation index for each hospital based on the distance between them, and update the centralized procurement list based on the location correlation index of each hospital;

[0031] Determine the hospital's diagnostic complexity based on the number of departments in each hospital and iterate the update process of the centralized procurement list;

[0032] According to the distance between each hospital, the location correlation index η(i) of each hospital is constructed, and the centralized procurement list is processed. When the location correlation index η(i) of a hospital exceeds the preset location correlation constant, the number of medical equipment in the centralized procurement list of the hospital is processed as nm'(i,j), and nm'(i,j) is set to nm(i,j)=nm(i,j)×exp{[η(i)-R] / R}, where m is a digital subscript and m=1,2.

[0033] Optionally, when iterating the centralized procurement list, the hospital's diagnostic complexity status is determined based on the number of departments in the hospital, and when the hospital's diagnostic complexity status is abnormal, the hospital's preset location association constant is iterated;

[0034] The medical equipment centralized procurement and scheduling management method further includes: periodically collecting the operating data of the medical equipment in each hospital based on a monitoring cycle, and obtaining the grade of each hospital and the location distance between each hospital.

[0035] According to another aspect of the present application, a medical equipment centralized procurement scheduling management device is provided, comprising:

[0036] The information collection module periodically collects the operating data of medical equipment in each hospital based on the monitoring cycle, and obtains the level of each hospital and the location distance between hospitals;

[0037] An equipment classification module, used to classify medical equipment according to the operation data of the medical equipment within a monitoring period;

[0038] The equipment status monitoring module is used to analyze the operating status of medical equipment based on the classification results of each medical equipment and the operating data of the medical equipment during the monitoring period. It also analyzes the equipment iteration status of each hospital based on the operating status analysis results of the medical equipment;

[0039] The centralized procurement analysis module is used to generate a list of centralized procurement categories and quantities for each hospital based on the analysis results of the operating status of each hospital's medical equipment, the analysis results of the equipment iteration status of each hospital, and the level of each hospital;

[0040] The centralized procurement scheduling module merges the centralized procurement category lists and centralized procurement quantity lists of each hospital into a centralized procurement list, processes the centralized procurement list according to the location distance between the hospitals, and iterates the processing of the centralized procurement list according to the number of departments in each hospital.

[0041] According to another aspect of the present application, a computer-readable storage medium is provided, which stores a computer program, wherein the computer program is used to control the computer-readable storage medium to execute the medical equipment centralized procurement scheduling management method during runtime.

[0042] Compared with the existing technology, the beneficial effect of the present invention is that: by classifying medical equipment individually, the operating status of the medical equipment is determined, and thus the equipment iteration status of each hospital is determined, which is used as the basis for analyzing the centralized procurement list, and the centralized procurement list is adjusted according to the distance data between the hospitals to reduce the distribution problems caused by distance and improve the centralized procurement scheduling efficiency of medical equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. 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 creative work.

[0044] Figure 1 This is a flow chart of the medical equipment centralized procurement and scheduling management method of this embodiment.

[0045] Figure 2 This is a flow chart of the method for establishing an equipment iteration model for a hospital in this embodiment.

[0046] Figure 3 Schematic diagram of the process of generating a centralized procurement plan in this embodiment.

[0047] Figure 4 This is a flow chart of the centralized procurement list updating method of this embodiment.

[0048] Figure 5 This is a structural diagram of the medical equipment centralized procurement scheduling management device of this embodiment. DETAILED DESCRIPTION

[0049] In order to more clearly illustrate the present invention, the present invention is further described below in conjunction with preferred embodiments and accompanying drawings. Similar components in the accompanying drawings are represented by the same reference numerals. It should be understood by those skilled in the art that the following detailed description is illustrative rather than restrictive and should not be used to limit the scope of protection of the present invention.

[0050] It should be noted that, although the terms "first," "second," and "third" may be used to describe the embodiments of the present application, the description should not be limited to these terms. These terms are merely used to distinguish the descriptions. For example, without departing from the scope of the embodiments of the present application, "first" may also be referred to as "second," and similarly, "second" may also be referred to as "first."

[0051] The acquisition, storage, use, and processing of data in this application's technical solution comply with relevant national laws and regulations.

[0052] Specifically, the medical equipment centralized procurement and scheduling management method, device and storage medium described in this embodiment are applied to the joint centralized procurement of medical equipment in multiple hospitals; the multiple hospitals described in this application are specifically a number of hospitals of different levels; the multiple hospitals described in this application are multiple hospitals scattered in the same centralized area in space, and this application does not make specific limitations on the medical equipment purchased by the hospitals, which can be treatment equipment, diagnostic equipment, etc.

[0053] Specifically, the different levels of hospitals described in this application specifically divide hospitals into level one, level two and level three. The grading process is a hospital rating based on national standards, among which level three is the highest, level two is the second, and level one is the lowest.

[0054] Applied to the above application scenarios, this application provides a method for centralized procurement and scheduling management of medical equipment, please refer to Figure 1 Said, it is a flowchart of the medical equipment centralized procurement scheduling management method, including:

[0055] Step S101, based on the monitoring period, periodically collect the operating data of the medical equipment of each hospital, and obtain the level of each hospital and the location distance between each hospital; the equipment of each hospital is the type of existing medical equipment in each hospital; the operating data of the medical equipment includes the number of each type of medical equipment, the number of medical equipment failures, and the frequency of use of medical equipment, and the number of each type of medical equipment, the number of medical equipment failures, and the frequency of use of medical equipment are all average values ​​of each type of medical equipment during the monitoring period.

[0056] It can be understood that in this embodiment, the operating data of the medical equipment in each hospital, the level of each hospital, and the location distance between each hospital are obtained by collecting data from the cloud server of each hospital or by user interactive input.

[0057] For example, this application does not impose any specific restrictions on the value of the monitoring period duration. Those skilled in the art can set it freely as long as the value requirements of the monitoring period duration are met. In this embodiment, the value of the monitoring period duration can be set to one week.

[0058] Please continue reading Figure 1 As shown, the medical equipment centralized procurement scheduling management method also includes:

[0059] Step S102: classify the medical devices according to the operation data of the medical devices during the monitoring period.

[0060] Specifically, in step S102, the process of classifying medical devices is as follows: when v(i,h) is less than V, the medical device of this type is classified as a commonly used medical device; if v(i,h) is greater than or equal to V, the medical device of this type is classified as an uncommon medical device;

[0061] Where v(i,h) is the average usage frequency of the hth medical device type in the i-th hospital, and V is the preset frequency of use of the medical device.

[0062] Specifically, in step S102 described in the present application, medical devices are classified by their frequency of use, which facilitates the subsequent analysis of the operating status of different medical devices and improves the accuracy of the analysis of the operating status of medical devices; at the same time, it is worth noting that when classifying medical devices in the present application, the classification results of the same type of medical equipment in different hospitals are not necessarily consistent, and classification is carried out based on the actual situation of the hospital.

[0063] For example, this application does not make any specific restrictions on the value of the preset medical equipment usage frequency V. Those skilled in the art can set it freely as long as the value requirements of the preset medical equipment usage frequency V are met. In this embodiment, the usage frequency of medical equipment in each hospital can be counted, and the median of the statistical results can be used as the actual value of the preset medical equipment usage frequency V.

[0064] Please continue reading Figure 1 As shown, the medical equipment centralized procurement scheduling management method also includes:

[0065] Step S103 , based on the classification results of each medical device and combined with the operation data of the medical device, the operation status of the medical device is determined, and then the equipment iteration model of each hospital is established.

[0066] See also Figure 2 As shown, it is a flow chart of the method for establishing the equipment iteration model of the hospital of this application, including:

[0067] Step S301, based on the classification results of each medical device and combined with the operating data of the medical device, determine the operating status of the medical device; this application uses the operating status of the medical device to refer to whether the medical device needs to be replaced and iterated through centralized procurement.

[0068] Specifically, in step S301, the process of determining the operating status of each medical device is as follows:

[0069] Calculate the operating status index α(i,j) of each medical device, α(i,j) = a(i,j) / A(i,j); where a(i,j) is the number of failures of the j-th medical device in the i-th hospital, and A(i,j) is the standard number of failures of the j-th medical device in the i-th hospital;

[0070] The operating status index α(i, j) of the medical equipment is combined with the classification result of the medical equipment to determine the operating status of the medical equipment, and then the equipment status index of the medical equipment is established:

[0071] When the device type is a common medical device, if α(i, j) is less than A1, the operating status of the medical device is determined to be normal, and the device status index of the medical device is set to β1(i, j), and β1(i, j) is set to 0; otherwise, the operating status of the medical device is determined to be abnormal, and the device status index of the medical device is set to β2(i, j), and β2(i, j) is set to exp{[A1-α(i, j)] / A1};

[0072] When the device type is an uncommon device, if α(i,j) is less than A2, the operating status of the medical device is determined to be normal, and the device status index of the medical device is set to β3(i,j), and β3(i,j) is set to 0; otherwise, the operating status of the medical device is determined to be abnormal, and the device status index of the medical device is set to β4(i,j), and β4(i,j) is set to exp{[A2-α(i,j)] / A2}; wherein A1 is the first preset operating status constant, and A2 is the second preset operating status index.

[0073] For example, this embodiment does not specifically limit the values ​​of the first preset operating state constant A1 and the second preset operating state index A2. Those skilled in the art can set them freely as long as the value requirements of the first preset operating state constant A1 and the second preset operating state index A2 are met. In this embodiment, the optimal value of the first preset operating state constant A1 is 0.5 and the optimal value of the second preset operating state index A2 is 0.4.

[0074] Specifically, by combining the medical equipment classification results and the historical operating data of each medical equipment to specifically analyze its operating status, and distinguishing it into normal and abnormal states, and using abnormal states to identify medical equipment that needs to be iterated through centralized procurement, we can accurately distinguish the operating status of medical equipment, thereby improving the overall control of medical equipment in each hospital.

[0075] Please continue reading Figure 2 As shown, the hospital's equipment iteration model establishment method further includes:

[0076] Step S302: Establish an equipment iteration model for each hospital based on the operating status of the medical equipment belonging to each hospital to output the equipment iteration status of each hospital. This application uses the equipment iteration status of the hospital as the analysis result of whether the entire equipment in the hospital needs to be iterated.

[0077] Specifically, in step S302, the specific process of establishing the equipment iteration model of each hospital and outputting the equipment iteration status of each hospital is as follows:

[0078] Calculate the equipment iteration index γ(i) of each hospital, and set the value of γ(i) to be the ratio of the sum of the equipment status indexes of all medical devices in the i-th hospital to the number of medical devices in the hospital;

[0079] By setting a preset equipment iteration index, the equipment iteration index γ(i) of each hospital is compared with the set equipment iteration index, so that the equipment iteration status of the hospital when it exceeds the preset equipment iteration index is judged as abnormal; and the equipment iteration status of the hospital when it does not exceed the preset equipment iteration index is judged as normal.

[0080] This exemplary embodiment does not impose any specific limitation on the value of the preset device iteration index Y. Those skilled in the art can set it freely as long as the value requirement of the preset device iteration index Y is met. In this embodiment, the optimal value of the preset device iteration index Y is 0.2; at the same time, in this application, exceeding means a comparison result greater than or equal to.

[0081] It can be understood that the operating status of the medical device in this embodiment specifically refers to the average operating status of various types of medical devices.

[0082] Specifically, this application improves the efficiency of centralized procurement scheduling by conducting an integrated analysis of the operating status of all medical equipment in the hospital and using this as the main basis for analyzing the centralized procurement list.

[0083] Please continue reading Figure 1 The medical equipment centralized procurement scheduling management method further includes:

[0084] In step S104, the medical equipment is secondary classified based on the classification results of the medical equipment and the hospital level, and then the operating status of the medical equipment and the hospital's equipment iteration model are integrated to generate the hospital's centralized procurement plan; the hospital's centralized procurement plan includes a category list and a centralized procurement quantity list.

[0085] See also Figure 3 As shown, it is a flow chart of the method for generating a centralized procurement plan for this application, including:

[0086] Step S401 : performing secondary classification of medical equipment based on the classification results of the medical equipment and the hospital level.

[0087] Specifically, in step S401 of this application, the process of secondary classification of medical devices is as follows:

[0088] When the classification result of the medical equipment is a commonly used medical equipment, if the hospital level is level one, the equipment is set as a Class I equipment, and the first basic weight w1 is set, setting w1=W1; if the hospital level is level two, the equipment is set as a Class II equipment, and the second basic weight w2 is set, setting w2=W2; if the hospital level is level three, the equipment is set as a Class III equipment, and the third basic weight w3 is set, setting w3=W3;

[0089] When the classification result of the medical equipment is a non-common medical equipment, if the hospital level is level one, the equipment is set as a fourth-category equipment, and the fourth basic weight w4 is set, setting w4=W4; if the hospital level is level two, the equipment is set as a fifth-category equipment, and the fifth basic weight w5 is set, setting w5=W5; if the hospital level is level three, the equipment is set as a sixth-category equipment, and the sixth basic weight w6 is set, setting w6=W6;

[0090] Among them, W1, W2, W3, W4, W5, and W6 are the first, second, third, fourth, fifth, and sixth preset weight constants respectively.

[0091] For example, in this embodiment, the values ​​of W1, W2, W3, W4, W5, and W6 are 0.1, 0.2, 0.3, 0.4, 0.5, and 0.6, respectively.

[0092] Specifically, medical equipment is secondary classified by hospital level to indicate the importance of centralized procurement of equipment in hospitals of different levels. The importance of secondary classified medical equipment is ranked with Class I equipment being the highest and Class VI equipment being the lowest.

[0093] Please continue reading Figure 3 As shown, the centralized procurement plan generation method further includes:

[0094] Step S402: Generate a centralized procurement category list for each hospital based on the secondary classification results of the medical equipment, the operating status of the medical equipment, and the equipment iteration status of each hospital; in this application, the centralized procurement category list is used as the category list of medical equipment centrally purchased in centralized procurement scheduling.

[0095] Specifically, the process of generating the centralized procurement category list for each hospital in step S402 is as follows:

[0096] When the equipment iteration status of the hospital is normal, if the operating status of the equipment is normal and βz(i,j)×wf is less than H1, the medical equipment will not be included in the centralized procurement category list of the hospital; if the operating status of the equipment is normal and βz(i,j)×wf is greater than or equal to H1, the medical equipment will be included in the centralized procurement category list of the hospital; if the operating status of the equipment is abnormal, the medical equipment will be included in the centralized procurement category list of the hospital; where f are all numerical subscripts, f = 1, 2, 3, 4, 5, 6;

[0097] When the equipment iteration status of a hospital is abnormal, if the operating status of the equipment is normal and βz(i,j)×wf is less than H2, the medical equipment will not be included in the hospital's centralized procurement list; if the operating status of the equipment is normal and βz(i,j)×wf is greater than or equal to H2, the medical equipment will be included in the hospital's centralized procurement category list; if the operating status of the equipment is abnormal, the medical equipment will be included in the hospital's centralized procurement category list;

[0098] Among them, H1 is the first preset centralized procurement weight, H2 is the second preset centralized procurement weight, and H1<H2.

[0099] Specifically, by screening and extracting the list of medical equipment types in different hospitals to generate centralized procurement plans for different types of medical equipment, the efficiency of centralized procurement and scheduling of medical equipment is improved.

[0100] For example, this application does not make any specific restrictions on the values ​​of the first preset centralized procurement weight H1 and the second preset centralized procurement weight H2. It is only necessary to meet the value requirements of the first preset centralized procurement weight H1 and the second preset centralized procurement weight H2. This application sets the optimal value of the first preset centralized procurement weight H1 to 0.1, and the optimal value of the second preset centralized procurement weight H2 to 0.17.

[0101] Please continue reading Figure 3 As shown, the centralized procurement plan generation method further includes:

[0102] Step S403: Determine the operating status of each hospital based on the number of patients n(i) received by each hospital during the monitoring period and the list of centralized procurement categories, and then generate a centralized procurement quantity list for each hospital based on the operating status of each hospital. The specific process is as follows:

[0103] If n(i) is less than N(i), the centralized procurement quantity of each medical device of the hospital is set to n1(i,j), n1(i,j) = n(i,j); if n(i) is greater than or equal to N(i), the centralized procurement quantity of each medical device of the hospital is set to n2(i,j), n2(i,j) = n(i,j) × {1 + [n(i) - N(i)] / N(i)};

[0104] Where n(i) is the number of patients received by the i-th hospital during the monitoring period, N(i) is the maximum number of patients received by the i-th hospital, and n(i,j) is the number of the j-th type of medical equipment in the i-th hospital during the monitoring period.

[0105] Specifically, by conducting a specific analysis of the centralized procurement quantity lists of each hospital, we can obtain the reasonable centralized procurement quantities of different medical equipment. The number of patients is used as the judgment factor for whether the number of medical equipment meets the demand, thus achieving an accurate analysis of the centralized procurement quantity list.

[0106] Please continue reading Figure 1 As shown, the medical equipment centralized procurement scheduling management method also includes:

[0107] In step S105, the centralized procurement plan of each hospital is sent to the user, and the centralized procurement list is updated according to the location distance between the hospitals.

[0108] See also Figure 4 As shown, it is a structural diagram of the centralized procurement list updating method of this embodiment, including:

[0109] Step S501: merge the centralized procurement category list and the centralized procurement quantity list of each hospital into a centralized procurement list, and send the centralized procurement plan of each hospital to the user.

[0110] Specifically, the process of "merging the centralized procurement category list and centralized procurement quantity list of each hospital into a centralized procurement list" in this embodiment is a simple merging process and will not be elaborated in this embodiment.

[0111] Please continue reading Figure 1 As shown, the method further includes:

[0112] Step S502: construct a location correlation index for each hospital based on the location distance between the hospitals, and update the centralized procurement list based on the location correlation index for each hospital.

[0113] Specifically, in step S502 of this embodiment, the location correlation index η(i) of each hospital is constructed based on the distance between the hospitals, and the values ​​are set as Where d(i,k) represents the distance between hospital i and hospital k, and K is the total number of hospitals;

[0114] By establishing a preset position correlation constant, and determining the plan for updating the centralized procurement list based on the relationship between the position correlation index η(i) of each hospital and the preset position correlation constant: if η(i) is less than the preset position correlation constant, the centralized procurement list will not be processed; if η(i) is greater than or equal to the preset position correlation constant, the number of medical devices in the centralized procurement list of the hospital will be processed as nm'(i,j), and nm'(i,j)=nm(i,j)×exp{[η(i)-R] / R} will be set; where R represents the preset position correlation constant, m is a numerical subscript, and m=1,2.

[0115] For example, this embodiment does not specifically limit the value of the position correlation constant R. Those skilled in the art can freely set it as long as the value requirements of the position correlation constant R are met. In this embodiment, the optimal value of the position correlation constant R is 3 km.

[0116] Specifically, by adjusting the quantity part of the centralized procurement list based on the location relationship between hospitals in a region, centralized procurement and efficient distribution of medical equipment in a region are achieved. The distance factor between different hospitals is used as an influencing factor in the distribution process, and the generated centralized procurement list is processed based on this influencing factor, thus realizing complete centralized procurement scheduling.

[0117] Please continue reading Figure 4 As shown, the method for generating a centralized procurement list also includes:

[0118] Step S503, determine the hospital's diagnostic complexity status based on the number of departments in the hospital, and iterate the update process of the centralized procurement list.

[0119] Specifically, the process of iterating the centralized procurement list in step S503 is as follows: if kn(i) is less than KN, the diagnosis complexity status of the hospital is determined to be normal, and the centralized procurement list of the hospital is not iterated; if kn(i) is greater than or equal to KN, the diagnosis complexity status of the hospital is determined to be abnormal, and the preset position association constant of the hospital is iterated to R(i), setting R(i)=R×{1+[kn(i)-KN] / KN};

[0120] Among them, kn(i) is the number of departments in the i-th hospital, and KN is the preset number of departments.

[0121] Specifically, the number of departments is used as an indirect factor affecting the centralized procurement and allocation process of medical equipment. The influence of the hospital's diagnostic complexity reflected by the number of departments on its centralized procurement and allocation process is eliminated, which improves the accuracy of the centralized procurement list and further improves the efficient centralized procurement and scheduling of medical equipment.

[0122] See also Figure 5 As shown in FIG, it is a schematic diagram of the structure of the medical equipment centralized procurement scheduling management device of this embodiment, including:

[0123] The information collection module is used to periodically collect the operating data of medical equipment in each hospital based on the monitoring cycle, and obtain the level of each hospital and the location distance between hospitals;

[0124] An equipment classification module is used to classify medical equipment according to the operation data of the medical equipment within the monitoring period;

[0125] The equipment status monitoring module is used to determine the operating status of medical equipment based on the classification results of each medical equipment and combined with the operating data of the medical equipment, and then establish an equipment iteration model for each hospital;

[0126] The centralized procurement analysis module is used to perform secondary classification of medical equipment based on the classification results of medical equipment and the hospital level, and then integrate the operating status of medical equipment and the hospital's equipment iteration model to generate the hospital's centralized procurement plan;

[0127] The centralized procurement scheduling module is used to send the centralized procurement plans of each hospital to users, update the centralized procurement plans based on the location distance between the hospitals, and iterate the updating process of the centralized procurement plans based on the number of departments in each hospital.

[0128] The equipment status monitoring device provided in the embodiments of the present application can execute the equipment status monitoring method provided in any embodiment of the present application, and has the corresponding functional modules and beneficial effects of the execution method.

[0129] The present application also provides a computer-readable storage medium, which is a tangible physical storage medium that can store the above-mentioned computer program and various types of data used in the program; the physical storage medium includes but is not limited to existing physical storage media such as random access memory, read-only memory, optical disk, hard disk, or a combination of media.

[0130] Those skilled in the art will appreciate that all or some of the steps and systems in the method disclosed above can be implemented as software, firmware, hardware, and appropriate combinations thereof. Some physical components or all physical components can be implemented as software executed by a processor, such as a central processing unit, a digital signal processor, or a microprocessor, or implemented as hardware, or implemented as an integrated circuit, such as an application-specific integrated circuit. Such software can be distributed on a computer-readable medium, and the computer-readable medium can include computer storage media (or non-transitory media) and communication media (or temporary media). As known to those skilled in the art, the term computer storage media is included in any method or technology for storing information (such as a computer-readable program, a data structure, a program module, or other data) and is volatile and non-volatile, removable, and non-removable. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory, or other memory technology, CD-ROM, digital versatile disks (DVD), or other optical disk storage, magnetic cassettes, magnetic tapes, disk storage, or other magnetic storage devices, or any other medium that can be used to store desired information and can be accessed by a computer. Furthermore, as is well known to those skilled in the art, communication media typically embodies computer-readable programs, data structures, program modules, or other data in a modulated data signal such as a carrier wave or other transport mechanism, and may include any information delivery media.

[0131] Thus far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art may make equivalent changes or substitutions to the relevant technical features, and the technical solutions after such changes or substitutions will fall within the scope of protection of the present invention.

Claims

1. A method for centralized procurement and scheduling management of medical equipment, characterized in that: include: Classify medical equipment based on their operating data within the monitoring period; Based on the classification results of each medical device and combined with the operating data of the medical device, the operating status of the medical device is determined, and then the equipment iteration model of each hospital is established; The classification results of medical equipment are combined with the hospital level to conduct a secondary classification of medical equipment. Then, the operating status of medical equipment and the hospital's equipment iteration model are integrated to generate the hospital's centralized procurement plan. The centralized procurement plan of each hospital is sent to users, and the centralized procurement plan is updated based on the location distance between the hospitals. The updating process of the centralized procurement plan is also iterated based on the number of departments in each hospital.

2. The method for centralized procurement and scheduling management of medical equipment according to claim 1, characterized in that: The hospital's equipment iteration model building method includes: Determine the operating status of the medical device based on the classification results of each medical device and in combination with the operating data of the medical device; Establish an equipment iteration model for each hospital based on the operating status of the medical equipment belonging to each hospital to output the equipment iteration status of each hospital; When determining the operating status of each medical device, the operating status index α(i, j) of each medical device is calculated, and the operating status of the medical device is determined by combining α(i, j) with the classification result of the medical device, and then the device status index of the medical device is established: the operating status of the medical device is determined to be normal or abnormal, and when the device type is a commonly used medical device and the operating status of the medical device is normal, the device status index of the medical device is set to β1(i, j); when the device type is a commonly used medical device and the operating status of the medical device is abnormal, the device status index of the medical device is set to β2(i, j); when the device type is a non-common device and the operating status of the medical device is normal, the device status index of the medical device is set to β3(i, j); when the device type is a non-common device and the operating status of the medical device is abnormal, the device status index of the medical device is set to β4(i, j).

3. The method for centralized procurement and scheduling management of medical equipment according to claim 2, characterized in that: Establish an equipment iteration model for each hospital and output the equipment iteration status of each hospital; Calculate the equipment iteration index γ(i) of each hospital, and set the value of γ(i) to be the ratio of the sum of the equipment status indexes of all medical devices in the i-th hospital to the number of medical devices in the hospital; The equipment iteration index γ(i) of each hospital is compared with the set equipment iteration index, and the equipment iteration status of the hospital that exceeds the preset equipment iteration index is judged as abnormal; otherwise, it is judged as normal.

4. The method for centralized procurement and scheduling management of medical equipment according to claim 3, characterized in that: The methods for generating centralized procurement plans include: The medical equipment is classified again based on the classification results and hospital level; Generate a list of centralized procurement categories for each hospital based on the secondary classification results of medical equipment, the operating status of medical equipment, and the equipment iteration status of each hospital; The operating status of each hospital is determined based on the number of patients n(i) received by each hospital during the monitoring period and the list of centralized procurement categories, and then the centralized procurement quantity list of each hospital is generated based on the operating status of each hospital; When performing secondary classification on medical equipment, medical equipment is classified into Class I equipment, Class II equipment, Class III equipment, Class IV equipment, Class V equipment and Class VI equipment, and a basic weight wf is set for each type of equipment, where f is a digital subscript, f = 1, 2, 3, 4, 5, 6.

5. The method for centralized procurement and scheduling management of medical equipment according to claim 4, characterized in that: The process of generating a list of centralized procurement categories for each hospital is as follows: When the equipment iteration status of the hospital is normal, if the operating status of the equipment is normal and βz(i,j)×wf is less than H1, the medical equipment will not be included in the hospital's centralized procurement list; if the operating status of the equipment is normal and βz(i,j)×wf is greater than or equal to H1, the medical equipment will be included in the hospital's centralized procurement list; if the operating status of the equipment is abnormal, the medical equipment will be included in the hospital's centralized procurement list; When the equipment iteration status of a hospital is abnormal, if the operating status of the equipment is normal and βz(i,j)×wf is less than H2, the medical equipment will not be included in the hospital's centralized procurement list; if the operating status of the equipment is normal and βz(i,j)×wf is greater than or equal to H2, the medical equipment will be included in the hospital's centralized procurement category list; if the operating status of the equipment is abnormal, the medical equipment will be included in the hospital's centralized procurement category list; Among them, H1 is the first preset centralized procurement weight, H2 is the second preset centralized procurement weight, and H1<H2.

6. The medical equipment centralized procurement and scheduling management method according to claim 5, characterized in that: The specific process of generating the centralized procurement quantity list for each hospital is as follows: if n(i) is less than N(i), the centralized procurement quantity of each medical device in the hospital is set to n1(i,j), n1(i,j) = n(i,j); if n(i) is greater than or equal to N(i), the centralized procurement quantity of each medical device in the hospital is set to n2(i,j), n2(i,j) = n(i,j) × {1 + [n(i) - N(i)] / N(i)}; Where n(i) is the number of patients received by the i-th hospital during the monitoring period, N(i) is the maximum number of patients received by the i-th hospital, and n(i,j) is the number of the j-th type of medical equipment in the i-th hospital during the monitoring period.

7. The method for centralized procurement and scheduling management of medical equipment according to claim 6, characterized in that: Methods for updating the centralized procurement list include: Combine the centralized procurement category list and centralized procurement quantity list of each hospital into a centralized procurement list, and send the centralized procurement plan of each hospital to the user; Construct a location correlation index for each hospital based on the distance between them, and update the centralized procurement list based on the location correlation index of each hospital; Determine the hospital's diagnostic complexity based on the number of departments in each hospital and iterate the update process of the centralized procurement list; According to the distance between each hospital, the location correlation index η(i) of each hospital is constructed, and the centralized procurement list is processed. When the location correlation index η(i) of a hospital exceeds the preset location correlation constant, the number of medical equipment in the centralized procurement list of the hospital is processed as nm'(i,j), and nm'(i,j) is set to nm(i,j)=nm(i,j)×exp{[η(i)-R] / R}, where m is a digital subscript and m=1,2.

8. The method for centralized procurement and scheduling management of medical equipment according to claim 7, characterized in that: When iterating the centralized procurement list, the hospital's diagnostic complexity status is determined based on the number of departments in the hospital, and when the hospital's diagnostic complexity status is abnormal, the hospital's preset location association constant is iterated; The medical equipment centralized procurement and scheduling management method further includes: periodically collecting the operating data of the medical equipment in each hospital based on a monitoring cycle, and obtaining the grade of each hospital and the location distance between each hospital.

9. A medical equipment centralized procurement scheduling management device, applied to the medical equipment centralized procurement scheduling management method according to any one of claims 1 to 8, characterized in that: include: The information collection module is used to periodically collect the operating data of medical equipment in each hospital based on the monitoring cycle, and obtain the level of each hospital and the location distance between hospitals; An equipment classification module is used to classify medical equipment according to the operation data of the medical equipment within the monitoring period; The equipment status monitoring module is used to determine the operating status of medical equipment based on the classification results of each medical equipment and combined with the operating data of the medical equipment, and then establish an equipment iteration model for each hospital; The centralized procurement analysis module is used to perform secondary classification of medical equipment based on the classification results of medical equipment and the hospital level, and then integrate the operating status of medical equipment and the hospital's equipment iteration model to generate the hospital's centralized procurement plan; The centralized procurement scheduling module is used to send the centralized procurement plans of each hospital to users, update the centralized procurement plans based on the location distance between the hospitals, and iterate the updating process of the centralized procurement plans based on the number of departments in each hospital.

10. A computer storage medium, characterized in that The computer-readable storage medium stores a computer program, wherein the computer program is used to control the computer-readable storage medium to execute the medical equipment centralized procurement scheduling management method according to any one of claims 1 to 8 during operation.

Images