Medical supplies management method, system and storage medium

Abstract

The present invention provides a medical supplies management method, system and storage medium, which belongs to the field of supplies management technology, and specifically includes: determining the matching coefficients between different disease diagnosis results and specific types of supplies based on the usage data of different types of specific types of supplies of historical patients corresponding to different disease diagnosis results, determining that it is not necessary to store the specific types of supplies of the target optimization department separately based on the patient data of different types of disease diagnosis results and the matching coefficients of specific types of supplies, determining the similar patient reception date and similarity coefficient of the target optimization department based on the patient data of different types of disease diagnosis results, determining whether it is necessary to store the specific types of supplies of the target optimization department separately based on the extraction data of the specific types of supplies in the future time period of the similar patient reception date and the similarity coefficient, thereby ensuring the reliability of the storage of medical supplies.

Description

Technical Field

[0001] The present invention belongs to the technical field of material management, and in particular relates to a medical material management method, system and storage medium. Background Art

[0002] In order to meet the needs of patients, hospitals often stockpile a large amount of medical supplies. Since there are large differences in the storage conditions and patient users of medical supplies, how to manage medical supplies to improve the extraction and utilization efficiency of medical supplies has become a technical problem that needs to be solved urgently.

[0003] Specifically, in the invention patent application CN202211276324.9 "A method for intelligent management of medical supplies based on cloud warehouse", the push order generated by the operating subject based on the demand order pushes the materials to the material demander, avoiding the phenomenon of low efficiency of medical material management due to excessive outbound frequency, and improving the distribution efficiency of medical supplies. However, there are the following technical problems:

[0004] When managing medical supplies, for medical supplies that are refrigerated, frozen or stored at a constant temperature, if the storage device or storage space is frequently opened, some medical supplies may become ineffective, making it difficult to ensure the reliability of the storage of medical supplies.

[0005] In response to the above technical problems, the present invention provides a medical supplies management method, system and storage medium. Summary of the invention

[0006] To achieve the purpose of the present invention, the present invention adopts the following technical solutions:

[0007] According to one aspect of the present invention, a medical supplies management method is provided.

[0008] A medical supplies management method, specifically comprising:

[0009] S1 uses medical supplies with specific storage methods as specific types of supplies, obtains historical usage data of different departments within the hospital for different specific types of supplies, and uses the historical usage data of specific types of supplies to screen the departments to obtain target optimized departments;

[0010] S2 analyzes the diagnosis data of patients in the target optimization department to obtain disease diagnosis results of different types of patients in the target optimization department, determines usage data of different types of specific types of materials of historical patients corresponding to different disease diagnosis results, and uses the usage data of specific types of materials to determine the matching coefficients of different disease diagnosis results and specific types of materials;

[0011] S3: When it is determined that the specific type of materials of the target optimization department do not need to be stored separately based on the patient data of the different types of disease diagnosis results of the target optimization department and the matching coefficient of the specific type of materials, proceed to the next step;

[0012] S4 determines the similar patient admission date and similarity coefficient of the target optimization department based on the patient data of different types of disease diagnosis results, and determines whether the specific type of materials of the target optimization department needs to be stored separately through the extraction data and similarity coefficient of the specific type of materials in the future time period of the similar patient admission date.

[0013] The beneficial effects of the present invention are:

[0014] 1. The patient data of different types of disease diagnosis results of the target optimization department and the matching coefficient with specific types of materials are used to determine whether the specific types of materials of the target optimization department need to be stored separately, thereby avoiding the impact of too many extractions by the target optimization department on other specific types of materials. On the basis of meeting the storage needs of the target optimization department, the storage reliability of specific types of materials is guaranteed.

[0015] 2. Determine whether the specific type of materials of the target optimization department needs to be stored separately through the extraction data of specific types of materials in the future time period of similar patient admission dates and the similarity coefficient, thereby avoiding the waste of storage space caused by separate storage of specific types of materials of all target optimization departments, and realizing the screening of target optimization departments with greater extraction needs from the perspective of the extraction of specific types of materials under similar patient data, and also improving the storage reliability of specific types of materials of the target optimization departments.

[0016] A further technical solution is that the specific storage method includes freezing, refrigeration and heat preservation storage.

[0017] A further technical solution is that the historical usage data of the specific type of material includes the usage categories of the specific type of material and the historical usage amounts of different usage categories.

[0018] A further technical solution is that the method for determining the target optimization department is:

[0019] Determine the total amount of historical usage of the specific type of material based on the historical usage data of the specific type of material, and determine the usage demand coefficient of the specific type of material using the total amount of historical usage of the specific type of material;

[0020] Determine the usage type of the specific type of materials in the department, and determine the material demand coefficient of the specific type of materials of different usage types according to the historical usage amount of the specific type of materials of different usage types;

[0021] The material demand coefficients of specific types of materials of different usage types are normalized to construct compensation coefficients of the usage demand coefficients, the comprehensive demand coefficient of the department is determined based on the usage demand coefficients and the compensation coefficients, and the comprehensive demand coefficient is used to determine whether the department is a target optimization department.

[0022] A further technical solution is that the future time period is a future time period determined by a preset duration.

[0023] A further technical solution is to determine whether it is necessary to store specific types of materials in the target optimization department separately, including:

[0024] Determining the withdrawal amount of the specific type of supplies based on the withdrawal data of the specific type of supplies in the future time period of the similar patient admission date;

[0025] Determine similar patient reception dates of different similar date intervals by using similar dates of different similar patient reception dates, and determine reference extraction amounts of different similar date intervals by using the average of extraction amounts of similar patient reception dates of different similar date intervals;

[0026] The reference coefficient of the reference extraction quantity for different similar date intervals is determined by the average value of the similarity coefficients corresponding to different similar date intervals, and the comprehensive reference extraction quantity of specific types of materials is determined in combination with the reference extraction quantities for different similar date intervals. Based on the comprehensive reference extraction quantity, it is determined whether the specific type of materials for the target optimization department needs to be stored separately.

[0027] A further technical solution is that when the comprehensive reference extraction amount is greater than a preset extraction amount threshold, it is determined that the specific type of materials of the target optimization department need to be stored separately.

[0028] In a second aspect, the present invention provides a computer system comprising: a memory and a processor connected in communication, and a computer program stored in the memory and executable on the processor, wherein the system executes the above-mentioned medical supplies management method when the processor runs the computer program.

[0029] In a third aspect, the present invention provides a computer storage medium having a computer program stored thereon, which, when executed in a computer, enables the computer to execute the above-mentioned medical supplies management method.

[0030] Other features and advantages will be described in the following description. The objects and other advantages of the present invention are realized and obtained by the structures particularly pointed out in the description and drawings.

[0031] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] The above and other features and advantages of the present invention will become more apparent by describing in detail exemplary embodiments thereof with reference to the attached drawings.

[0033] Figure 1 It is a flow chart of a medical supplies management method;

[0034] Figure 2 It is a flow chart of the method for determining the target optimization department;

[0035] Figure 3 It is a flow chart of a method for determining a matching coefficient between a disease diagnosis result and a specific type of material;

[0036] Figure 4 is a flow chart of a method for determining similarity coefficient;

[0037] Figure 5 It is a framework diagram of a computer system. DETAILED DESCRIPTION

[0038] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this specification, not all of the embodiments. Based on the embodiments of this specification, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of this specification.

[0039] When managing medical supplies, for medical supplies that are refrigerated, frozen or stored at a constant temperature, it is necessary to comprehensively consider the historical usage data of medical supplies in different hospital departments. For hospital departments that use a large number of supplies or use them frequently, the medical supplies of the hospital departments should be stored and managed separately to ensure the reliability of the management of medical supplies.

[0040] Specific storage methods include refrigeration, freezing or constant temperature.

[0041] Target optimization department: The department whose historical usage is greater than the preset usage or the department whose usage frequency is greater than the preset frequency is selected as the target optimization department.

[0042] Matching coefficient between disease diagnosis results and specific types of supplies: The matching coefficient is determined by the proportion of patients with historical disease diagnosis results who used specific types of supplies. For example, when the proportion of patients is 0.9, the matching coefficient is determined to be 0.9.

[0043] Determine that there is no need to store the specific types of materials in the target optimization department separately: determine based on the number of patients with disease diagnosis results and the matching coefficient of disease diagnosis results. Specifically, when the number of patients with disease diagnosis results A and B is 30 and 40, and the matching coefficients of disease diagnosis results are 0.8 and 0.7, then 30 multiplied by 0.8+40 multiplied by 0.7 is 52. When it is greater than the threshold value of 40, it is determined that the specific types of materials in the target optimization department need to be stored separately. When it is not greater than the threshold value of 40, it is determined that the specific types of materials in the target optimization department do not need to be stored separately.

[0044] Similarity coefficient: It is determined based on the deviation in the number of patients for different types of disease diagnosis results. For example, if the deviation in the number of patients for disease diagnosis results A and B is 3 and 4, and the number of patients for disease diagnosis results is 30 and 40, then the similarity coefficient is 1-(3 / 30+4 / 40)=0.8. The receipt date with a similarity coefficient greater than 0.6 is regarded as the receipt date of similar patients.

[0045] Determine whether the specific type of materials of the target optimization department needs to be stored separately: determine whether the specific type of materials of the target optimization department needs to be stored separately based on the average extraction amount and the average extraction frequency of different similar patients' admission dates.

[0046] Embodiment 1 To solve the above problem, according to one aspect of the present invention, Figure 1 As shown, a medical supplies management method is provided, which specifically includes:

[0047] S1 uses medical supplies with specific storage methods as specific types of supplies, obtains historical usage data of different departments within the hospital for different specific types of supplies, and uses the historical usage data of specific types of supplies to screen the departments to obtain target optimized departments;

[0048] Furthermore, the specific storage method includes freezing, refrigeration and thermal insulation storage.

[0049] Specifically, the historical usage data of the specific type of material includes the usage categories of the specific type of material and the historical usage amounts of different usage categories.

[0050] It should be noted that if Figure 2 As shown, the method for determining the target optimization department is:

[0051] Determine the total amount of historical usage of the specific type of material based on the historical usage data of the specific type of material, and determine the usage demand coefficient of the specific type of material using the total amount of historical usage of the specific type of material;

[0052] Determine the usage type of the specific type of materials in the department, and determine the material demand coefficient of the specific type of materials of different usage types according to the historical usage amount of the specific type of materials of different usage types;

[0053] The material demand coefficients of specific types of materials of different usage types are normalized to construct compensation coefficients of the usage demand coefficients, the comprehensive demand coefficient of the department is determined based on the usage demand coefficients and the compensation coefficients, and the comprehensive demand coefficient is used to determine whether the department is a target optimization department.

[0054] Furthermore, when the comprehensive demand coefficient of the department is greater than the preset demand coefficient, the department is determined to be the target optimization department.

[0055] It should also be noted that when the department does not belong to the target optimization department, there is no need to store the specific type of materials of the target optimization department separately.

[0056] In another embodiment, the method for determining the target optimization department is:

[0057] Determine the usage type of the specific type of materials by the department based on the historical usage data of the specific type of materials, and determine the usage type whose historical usage is greater than the preset usage according to the historical usage of the usage type, and use it as the specific usage type;

[0058] Whether the department is a target optimization department is determined by utilizing the quantity of the specific usage type.

[0059] In another embodiment, the method for determining the target optimization department is:

[0060] S11 determines the total amount of historical usage of a specific type of material based on the historical usage data of the specific type of material, and determines whether the total amount of historical usage of the specific type of material is greater than a preset usage threshold. If so, it is determined that the department belongs to the target optimization department. If not, proceed to the next step.

[0061] S12 determines whether the total amount of historical usage of the specific type of material is less than the preset material usage threshold. If so, proceed to the next step. If not, proceed to step

[0062] S13: determining the usage type of the specific type of materials in the department based on the historical usage data of the specific type of materials, and judging whether the quantity of the usage type is less than the preset quantity of the type; if so, determining that the department does not belong to the target optimization department; if not, proceeding to the next step;

[0063] S14 determines whether there is a usage type whose historical usage is greater than a preset usage according to the historical usage of the usage type, if so, proceeds to the next step, if not, determines that the department does not belong to the target optimization department;

[0064] S15 determines the material demand coefficients of the specific types of materials of different usage types according to the historical usage amounts of the specific types of materials of different usage types, and judges whether the quantity of the specific types of materials of the usage types whose material demand coefficients are greater than the preset demand coefficient threshold is greater than the preset material quantity. If so, it is determined that the department does not belong to the target optimization department. If not, proceed to the next step.

[0065] S16 uses the total historical usage of the specific type of materials to determine the usage demand coefficient of the specific type of materials, normalizes the material demand coefficients of the specific type of materials of different usage types to construct a compensation coefficient of the usage demand coefficient, determines the comprehensive demand coefficient of the department based on the usage demand coefficient and the compensation coefficient, and uses the comprehensive demand coefficient to determine whether the department is a target optimization department.

[0066] S2 analyzes the diagnosis data of patients in the target optimization department to obtain disease diagnosis results of different types of patients in the target optimization department, determines usage data of different types of specific types of materials of historical patients corresponding to different disease diagnosis results, and uses the usage data of specific types of materials to determine the matching coefficients of different disease diagnosis results and specific types of materials;

[0067] Furthermore, the disease diagnosis result is determined based on the analysis result of the patient's diagnostic data.

[0068] Specifically, Figure 3 As shown, the method for determining the matching coefficient between the disease diagnosis result and the specific type of material is:

[0069] Using the historical patients corresponding to the disease diagnosis results as historical matching patients, based on the usage data of the specific types of materials with different usage types, determining the number ratio of historical matching patients who have used the specific types of materials with different usage types, and determining the basic matching coefficient between the disease diagnosis results and the specific types of materials with different usage types according to the number ratio;

[0070] Determine patient matching coefficients of matching historical patients of different types of specific types of materials with different usage quantities of the specific types of materials, and determine modified matching coefficients of the disease diagnosis results with different types of specific types of materials using weights of the patient matching coefficients;

[0071] The type matching coefficient between the disease diagnosis result and the specific type of materials of different usage types is determined based on the sum of the corrected matching coefficient and the basic matching coefficient, and the matching coefficient between the disease diagnosis result and the specific type of materials is determined by the weighted sum of the type matching coefficients of different specific types of materials.

[0072] Furthermore, the value range of the matching coefficient between the disease diagnosis result and the specific type of material is between 0 and 1, wherein the larger the matching coefficient is, the higher the matching degree between the disease diagnosis result and the specific type of material is.

[0073] It should also be noted that the method for determining the matching coefficient between the disease diagnosis result and the specific type of material is:

[0074] S21 uses the historical patient corresponding to the disease diagnosis result as the historical matching patient, and uses the usage data of the specific type of materials in the historical matching patient to determine the total historical usage of the historical matching patient, and judges whether the total historical usage is greater than the usage limit value. If so, the matching coefficient between the disease diagnosis result and the specific type of materials is determined by using the preset matching coefficient. If not, proceed to the next step;

[0075] S22 takes the historical matching patients who have used the specific type of materials as the use matching patients, and determines whether the proportion of the number of the use matching patients in the historical matching patients is greater than the preset proportion. If so, proceed to the next step; if not, proceed to the step;

[0076] S23: determining the usage matching coefficients between different usage matching patients and the specific type of materials based on the usage amounts of different usage matching patients in different usage types, and judging whether the average values ​​of the usage matching coefficients between different usage matching patients and the specific type of materials are greater than a preset coefficient threshold value; if so, determining the matching coefficient between the disease diagnosis result and the specific type of materials using the preset matching coefficient; if not, proceeding to the next step;

[0077] S24 determines whether the proportion of the number of matched patients whose matching coefficient is greater than a preset coefficient threshold is greater than a preset proportion threshold. If so, the matching coefficient between the disease diagnosis result and the specific type of material is determined using the preset matching coefficient. If not, proceed to the next step.

[0078] S25 determines the proportion of the number of patients with historical matching of the use of the specific type of materials of different use types based on the use data of the specific type of materials of different use types, and determines the type matching coefficient between the disease diagnosis result and the specific type of materials of different use types in combination with the use quantity of the specific type of materials of different use types, and determines whether the number of use types whose type matching coefficient is greater than a preset matching coefficient threshold is greater than a preset use type quantity threshold, if so, determines the matching coefficient between the disease diagnosis result and the specific type of materials using the preset matching coefficient, if not, proceeds to the next step;

[0079] S26 determines the matching coefficient between the disease diagnosis result and the specific type of material by summing the weights of the type matching coefficients of different specific types of materials.

[0080] S3: When it is determined that the specific type of materials of the target optimization department do not need to be stored separately based on the patient data of the different types of disease diagnosis results of the target optimization department and the matching coefficient of the specific type of materials, proceed to the next step;

[0081] Furthermore, it is determined that there is no need to store specific types of materials in the target optimization department separately, including:

[0082] Optimizing the patient data of different types of disease diagnosis results of the department with the said goal, and determining the number of patients with different types of disease diagnosis results;

[0083] Determine the patient usage demand coefficient of the target optimization department for different types of disease diagnosis results by using the number of patients with different types of disease diagnosis results and the matching coefficient between the disease diagnosis results and specific types of supplies;

[0084] The comprehensive usage demand coefficient of the target optimization department is determined based on the patient usage demand coefficient of the target optimization department in different types of disease diagnosis results, and the comprehensive usage demand coefficient is used to determine whether specific types of materials of the target optimization department need to be stored separately.

[0085] Furthermore, when the comprehensive usage demand coefficient of the target optimization department is greater than a preset usage demand threshold, it is determined that the specific type of materials of the target optimization department needs to be stored separately.

[0086] It should be noted that the comprehensive usage demand coefficient of the target optimization department is determined based on the sum of patient usage demand coefficients of different types of disease diagnosis results.

[0087] In another possible embodiment, determining that it is not necessary to store the specific type of materials of the target optimization department separately includes:

[0088] Optimizing the patient data of different types of disease diagnosis results of the department with the said goal, and determining the number of patients with different types of disease diagnosis results;

[0089] Based on the matching coefficients of different disease diagnosis results and specific types of supplies, the total number of patients in different matching coefficient intervals is determined, and the interval usage coefficients in different matching coefficient intervals are determined based on the total number of patients;

[0090] The weight coefficients of different matching coefficient intervals are determined based on the matching coefficient ranges corresponding to different matching coefficient intervals, and the comprehensive usage demand coefficient of the target optimization department is determined in combination with the interval usage coefficients of different matching coefficient intervals. The comprehensive usage demand coefficient is used to determine whether specific types of materials of the target optimization department need to be stored separately.

[0091] Furthermore, when it is determined that the specific type of materials of the target optimization department need to be stored separately, the specific type of materials of the target optimization department will be stored separately.

[0092] Furthermore, it is determined that there is no need to store specific types of materials in the target optimization department separately, including:

[0093] S31 determines the number of patients with different types of disease diagnosis results based on the patient data of the target optimized department, and judges whether the number of patients is less than the preset number of patients. If so, it is determined that the specific type of materials of the target optimized department do not need to be stored separately. If not, proceed to the next step.

[0094] S32 determines the total number of patients in different matching coefficient intervals based on the matching coefficients of different disease diagnosis results and specific types of supplies, and determines whether there is a matching coefficient interval in which the total number of patients is not within the preset interval. If yes, proceed to the next step; if not, proceed to step S35;

[0095] S33 determines whether the number of matching coefficient intervals for which the total number of patients is not within the preset interval meets the requirement, if so, proceeds to the next step, if not, determines that the specific type of materials of the target optimization department need to be stored separately;

[0096] S34 determines the interval usage coefficients in different matching coefficient intervals based on the total number of patients, and determines whether the number of matching coefficient intervals whose interval usage coefficients are greater than a preset usage coefficient threshold meets the requirements. If so, proceed to the next step; if not, determine that the specific type of materials of the target optimization department need to be stored separately;

[0097] S35 determines the weight coefficients of different matching coefficient intervals based on the matching coefficient ranges corresponding to different matching coefficient intervals, and determines the comprehensive usage demand coefficient of the target optimization department in combination with the interval usage coefficients of different matching coefficient intervals, and uses the comprehensive usage demand coefficient to determine whether it is necessary to store specific types of materials of the target optimization department separately.

[0098] S4 determines the similar patient admission date and similarity coefficient of the target optimization department based on the patient data of different types of disease diagnosis results, and determines whether the specific type of materials of the target optimization department needs to be stored separately through the extraction data and similarity coefficient of the specific type of materials in the future time period of the similar patient admission date.

[0099] Specifically, Figure 4 As shown, the method for determining the similarity coefficient is:

[0100] Based on the patient data of different types of disease diagnosis results, determine the number of patients with different types of disease diagnosis results in the target optimization department;

[0101] Determine the deviation amount of the number of patients with different types of disease diagnosis results on different dates based on the number of patients with different types of disease diagnosis results, and determine the deviation coefficient of the different types of disease diagnosis results using the deviation amount of the number of patients;

[0102] The weight coefficients of different types of disease diagnosis results are determined based on the matching coefficients of different types of disease diagnosis results, and the similarity coefficients between the date and different dates are determined in combination with the deviation coefficients of different types of disease diagnosis results. The reception dates of similar patients are determined based on the similarity coefficients.

[0103] Further, when the similarity coefficient between the target date and the date is greater than a preset similarity coefficient, the target date is determined to be a similar patient admission date.

[0104] It can be understood that the future time period is a future time period determined by a preset duration.

[0105] It should also be noted that it is necessary to determine whether the specific types of materials of the target optimization department need to be stored separately, including:

[0106] Determining the withdrawal amount of the specific type of supplies based on the withdrawal data of the specific type of supplies in the future time period of the similar patient admission date;

[0107] Determine similar patient reception dates of different similar date intervals by using similar dates of different similar patient reception dates, and determine reference extraction amounts of different similar date intervals by using the average of extraction amounts of similar patient reception dates of different similar date intervals;

[0108] The reference coefficient of the reference extraction quantity for different similar date intervals is determined by the average value of the similarity coefficients corresponding to different similar date intervals, and the comprehensive reference extraction quantity of specific types of materials is determined in combination with the reference extraction quantities for different similar date intervals. Based on the comprehensive reference extraction quantity, it is determined whether the specific type of materials for the target optimization department needs to be stored separately.

[0109] Furthermore, when the comprehensive reference extraction amount is greater than a preset extraction amount threshold, it is determined that the specific type of materials of the target optimization department needs to be stored separately.

[0110] Embodiment 2 In the second aspect, as Figure 5 As shown, the present invention provides a computer system, comprising: a memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, characterized in that: the processor executes the above-mentioned medical supplies management method when running the computer program.

[0111] Embodiment 3 In a third aspect, the present invention provides a computer storage medium on which a computer program is stored. When the computer program is executed in a computer, the computer is caused to execute the above-mentioned medical supplies management method.

[0112] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device, equipment, and non-volatile computer storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0113] The above is a description of a specific embodiment of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0114] The above description is only one or more embodiments of this specification and is not intended to limit this specification. For those skilled in the art, one or more embodiments of this specification may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of one or more embodiments of this specification shall be included in the scope of the claims of this specification.

Claims

1. A medical supplies management method, characterized in that: Specifically include: Medical supplies that use a specific storage method are regarded as specific types of supplies, and historical usage data of different departments within the hospital for different specific types of supplies are obtained. The departments are screened using the historical usage data of the specific types of supplies to obtain target optimized departments; The diagnostic data of patients in the target optimization department are analyzed to obtain disease diagnosis results of different types of patients in the target optimization department, and the usage data of different types of specific types of materials of historical patients corresponding to different disease diagnosis results are determined, and the matching coefficients of different disease diagnosis results and specific types of materials are determined by using the usage data of specific types of materials; When it is determined based on the patient data of different types of disease diagnosis results of the target optimization department and the matching coefficients with the specific types of materials that it is not necessary to store the specific types of materials of the target optimization department separately, proceed to the next step; Based on the patient data of different types of disease diagnosis results, determine the similar patient admission date and similarity coefficient of the target optimization department, and determine whether the specific type of materials of the target optimization department needs to be stored separately through the extraction data of the specific type of materials in the future period of the similar patient admission date and the similarity coefficient; It is determined that there is no need to store specific types of materials for the target optimization department separately, including: Optimizing the patient data of different types of disease diagnosis results of the department with the said goal, and determining the number of patients with different types of disease diagnosis results; Based on the matching coefficients of different disease diagnosis results and specific types of supplies, the total number of patients in different matching coefficient intervals is determined, and the interval usage coefficients in different matching coefficient intervals are determined based on the total number of patients; Determine the weight coefficients of different matching coefficient intervals based on the matching coefficient ranges corresponding to different matching coefficient intervals, and determine the comprehensive use demand coefficient of the target optimization department in combination with the interval use coefficients of different matching coefficient intervals, and use the comprehensive use demand coefficient to determine whether it is necessary to store specific types of materials of the target optimization department separately; The method for determining the matching coefficient between the disease diagnosis result and the specific type of material is: Using the historical patients corresponding to the disease diagnosis results as historical matching patients, based on the usage data of the specific types of materials with different usage types, determining the number ratio of historical matching patients who have used the specific types of materials with different usage types, and determining the basic matching coefficient between the disease diagnosis results and the specific types of materials with different usage types according to the number ratio; Determine patient matching coefficients of matching historical patients of different types of specific types of materials with different usage quantities of the specific types of materials, and determine modified matching coefficients of the disease diagnosis results with different types of specific types of materials using weights of the patient matching coefficients; Determine the type matching coefficient between the disease diagnosis result and the specific type of materials of different usage types based on the sum of the modified matching coefficient and the basic matching coefficient, and determine the matching coefficient between the disease diagnosis result and the specific type of materials by the weighted sum of the type matching coefficients of different specific types of materials; Determine whether it is necessary to store specific types of materials for the target optimization department separately, including: Determining the withdrawal amount of the specific type of supplies based on the withdrawal data of the specific type of supplies in the future time period of the similar patient admission date; Determine similar patient reception dates of different similar date intervals by using similar dates of different similar patient reception dates, and determine reference extraction amounts of different similar date intervals by using the average of extraction amounts of similar patient reception dates of different similar date intervals; Determine the reference coefficient of the reference extraction amount of different similar date intervals by the average value of the similarity coefficients corresponding to different similar date intervals, and determine the comprehensive reference extraction amount of specific types of materials in combination with the reference extraction amounts of different similar date intervals, and determine whether it is necessary to store the specific types of materials of the target optimization department separately based on the comprehensive reference extraction amount; The method for determining the similarity coefficient is: Based on the patient data of different types of disease diagnosis results, determine the number of patients with different types of disease diagnosis results in the target optimization department; Determine the deviation amount of the number of patients with different types of disease diagnosis results on different dates based on the number of patients with different types of disease diagnosis results, and determine the deviation coefficient of the different types of disease diagnosis results using the deviation amount of the number of patients; The weight coefficients of different types of disease diagnosis results are determined based on the matching coefficients of different types of disease diagnosis results, and the similarity coefficients between the date and different dates are determined in combination with the deviation coefficients of different types of disease diagnosis results. The reception dates of similar patients are determined based on the similarity coefficients.

2. The medical supplies management method according to claim 1, characterized in that: The specific storage methods include freezing, refrigeration and heat preservation storage.

3. The medical supplies management method according to claim 1, characterized in that: The historical usage data of the specific type of material includes the usage categories of the specific type of material and the historical usage amounts of different usage categories.

4. The medical supplies management method according to claim 1, characterized in that: The method for determining the target optimization department is: Determine the total amount of historical usage of the specific type of material based on the historical usage data of the specific type of material, and determine the usage demand coefficient of the specific type of material using the total amount of historical usage of the specific type of material; Determine the usage type of the specific type of materials in the department, and determine the material demand coefficient of the specific type of materials of different usage types according to the historical usage amount of the specific type of materials of different usage types; The material demand coefficients of specific types of materials of different usage types are normalized to construct compensation coefficients of the usage demand coefficients, the comprehensive demand coefficient of the department is determined based on the usage demand coefficients and the compensation coefficients, and the comprehensive demand coefficient is used to determine whether the department is a target optimization department.

5. The medical supplies management method according to claim 1, characterized in that: When the department does not belong to the target optimization department, there is no need to store the specific type of materials of the target optimization department separately.

6. The medical supplies management method according to claim 1, characterized in that: The disease diagnosis result is determined based on the analysis result of the patient's diagnosis data.

7. The medical supplies management method according to claim 1, characterized in that: The value range of the matching coefficient between the disease diagnosis result and the specific type of material is between 0 and 1, wherein the larger the matching coefficient is, the higher the matching degree between the disease diagnosis result and the specific type of material is.

8. A computer system comprising: A memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, characterized in that the processor executes a medical supplies management method as described in any one of claims 1-7 when running the computer program.

9. A computer storage medium having a computer program stored thereon, wherein when the computer program is executed in a computer, Instruct a computer to execute a medical supplies management method as described in any one of claims 1-7.

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