Construction method and system of standardized configuration model for hospital ICU medical equipment

Abstract

The present invention provides a method for constructing a standardized configuration model for medical equipment in a hospital ICU, and a method and system for constructing a standardized configuration model for medical equipment in a multidisciplinary intensive care unit. The method for constructing a standardized configuration model for medical equipment in a hospital ICU includes: step S1: obtaining the number of open beds in a comprehensive intensive care unit; step S2: obtaining data related to the usage of specific medical equipment in the comprehensive intensive care unit; step S3: constructing a standardized configuration model for intensive care unit equipment for predicting the relationship between the number of beds at different confidence levels and the minimum configuration quantity of specific medical equipment; step S4: based on the results calculated by the standardized configuration model, displaying the relationship between the number of beds at a specified confidence level and the minimum configuration quantity of equipment in the form of a chart. This application provides quantifiable data support for hospital medical equipment configuration decisions, improves the configuration efficiency of medical equipment, and promotes the scientific and standardized allocation of resources.

Description

Technical Field

[0001] The present invention relates to the technical field of prediction model construction, and in particular to a method and system for constructing a standardized configuration model for hospital ICU medical equipment. Background Art

[0002] The configuration of medical equipment in intensive care units (ICUs) plays a vital role in the diagnosis, treatment, and nursing care of patients. With the rapid development of modern medicine, hospital ICU medical equipment continues to expand and improve. To provide patients with the best treatment and care, the configuration of ICU equipment often strives to be adequate and fully stocked. This often leads to over-equipment and over-provisioning, resulting in a significant waste of medical resources.

[0003] Therefore, the scientific configuration of medical equipment is directly related to patient safety, and strengthening the scientific configuration of medical equipment in intensive care units is a crucial task. The increasing application of advanced technologies and equipment, such as the Internet of Things and big data, in intensive care units provides strong technical support for the intelligent management of medical equipment. Improving the rationality of ICU medical equipment configuration and making the management of ICU equipment more scientific and standardized, thereby making medical treatment more effective, better serving patients, and comprehensively improving the management level of smart hospitals, is of great significance. Summary of the Invention

[0004] In order to solve the above technical problems, the present application provides a method for constructing a standardized configuration model for hospital ICU medical equipment, which includes:

[0005] Step S1: Obtain the number of open beds in a comprehensive intensive care unit;

[0006] Step S2: Obtaining data related to the usage of specific medical equipment in the comprehensive intensive care unit;

[0007] Step S3: constructing a standardized configuration model for ICU equipment to predict the relationship between the number of beds and the minimum number of specific medical equipment at different confidence levels;

[0008] Step S4: Based on the results calculated by the standardized configuration model, the relationship between the number of beds and the minimum number of equipment configurations at a specified confidence level is displayed in a graphical form.

[0009] Furthermore, in step S2, the specific medical equipment includes a ventilator, a monitor, ECMO and / or CRRT; the usage-related data of each specific medical equipment includes the number of monitoring days, the number of devices, the daily usage time of the equipment, the daily power-on time of the equipment, and the maximum concurrent usage of each device per day.

[0010] Furthermore, in step S3, the process of constructing the standardized configuration model of the intensive care unit equipment includes:

[0011] Step S3.1: Statistics: Number of open beds at a specific medical facility ;Number of devices ; Monitoring days are The monitoring date is ; Equipment number is ; Number is of equipment on the monitoring date The daily usage time is , ; Number is of equipment on the monitoring date The power-on time of the day is , ;

[0012] Step S3.2: Calculate monitoring date Number of devices used on the day , calculated as follows:

[0013] ,

[0014] in, ; The value is 0 or 1;

[0015] ;

[0016] The threshold for the daily usage time of the device is usually the larger value of the 10th or 25th percentile of the daily usage time of the device and the set value;

[0017] The threshold for the daily device power-on time is usually the larger of the 10th or 25th percentile of the device's daily power-on time and the set value.

[0018] Step S3.3: Count monitoring days Number of devices used within Frequency ,

[0019] ,

[0020] in, ; ;

[0021] Step S3.4: Count the number of monitoring days Number of devices used within The probability distribution of ,

[0022] ,

[0023] in, ;

[0024] Step S3.5: Count the number of monitoring days Number of devices used within The cumulative probability distribution of ,

[0025] ;

[0026] Step S3.6: Set the signal level to , ; Calculate the confidence level as Minimum number of devices when ,

[0027] ;

[0028] Step S3.7: Calculate the confidence level as The minimum number of devices required for a single bed ;

[0029] The calculation formula of the standardized configuration model of the hospital ICU medical equipment is as follows:

[0030] .

[0031] A second aspect of the present application provides a method for constructing a standardized configuration model for medical equipment in a multidisciplinary intensive care unit, comprising:

[0032] Step W1: Obtain the basic configuration standard data of a certain type of medical equipment in the comprehensive intensive care unit calculated by the standardized configuration model of intensive care unit equipment constructed according to the above method, that is, the ratio relationship between the number of beds and the number of medical equipment configurations at a certain confidence level;

[0033] Step W2: Obtain clinical service data and actual usage data of comprehensive intensive care units: The proportion of admissions to comprehensive intensive care units ranked top The distribution of diseases and distribution of other diseases ; Ranked first in the proportion of patients admitted to comprehensive intensive care units Utilization rate of equipment corresponding to the disease Utilization rate of equipment corresponding to other diseases ; Number of patients discharged from comprehensive intensive care units , average length of stay , Average daily usage time of a single device , number of beds ;

[0034] Step W3: Obtain clinical service data and actual usage data of a certain specialist intensive care unit: The top ranking of the designated specialist intensive care unit in terms of admission ratio The distribution of diseases and distribution of other diseases ; Ranked first in the proportion of patients admitted to designated specialized intensive care units Utilization rate of equipment corresponding to the disease Utilization rate of equipment corresponding to other diseases ; Number of patients discharged from designated specialist intensive care units , average length of stay , Average daily usage time of a single device , number of beds ;

[0035] Step W4: Construct a standardized configuration model for multidisciplinary intensive care unit medical equipment for calculating the corresponding relationship between the number of beds in different specialized wards and the number of certain types of medical equipment. Step W4 includes:

[0036] Step W4.1: Set the top The weight of the disease is The weights of other diseases are ;in, , , ; , ; ;

[0037] Calculate the equipment configuration adjustment factor for a designated specialist intensive care unit :

[0038] ,

[0039] in, ;

[0040] Step W4.2: Assume that the number of equipment configured for each bed in the comprehensive intensive care unit is ; Calculate the number of devices required for each bed in a designated specialist intensive care unit ;

[0041] The calculation formula of the standardized configuration model for medical equipment configuration in the multidisciplinary intensive care unit is as follows:

[0042] ;

[0043] Step W5: Based on the calculation results of the standardized configuration model of medical equipment configuration in multidisciplinary intensive care units, the relationship between the number of beds in a certain specialized ward and the number of medical equipment configurations is displayed in a graphical form.

[0044] The third aspect of the present application provides a system for constructing a standardized configuration model for hospital ICU medical equipment, comprising:

[0045] The data collection module is used to use IoT collection and information system integration to comprehensively collect data on the hospital's actual use and operation status and related business data flows, and to coordinate the management, summary and analysis of intensive care unit equipment-related data;

[0046] The module for constructing a standardized configuration model for ICU equipment is used to load relevant data on the number of beds in a certain ICU and the actual usage of a certain type of medical equipment in the ICU to construct a standardized configuration model for ICU equipment, thereby calculating the proportional relationship between the number of beds and the number of ventilators configured at different confidence levels.

[0047] The module for constructing a standardized model for equipment configuration in multidisciplinary intensive care units is used to load the basic configuration standard data of a certain type of medical equipment in comprehensive intensive care units, as well as the clinical service data and actual usage data of comprehensive intensive care units and designated specialized intensive care units, to construct a standardized model for equipment configuration in multidisciplinary intensive care units, thereby calculating the correspondence between the number of beds in different specialized wards and the number of medical equipment configured.

[0048] The module displays the relationship between the number of beds and the number of medical equipment, which is used to visualize the relationship between the number of beds and the number of medical equipment in different intensive care units within a specified period at a certain confidence level in a graphical and tabular manner.

[0049] The module for adjusting the relationship between the number of beds and the number of medical equipment configurations is used to load the historical data of the proportional relationship between the number of beds and the number of equipment within a selected time range based on the proportional relationship between the number of beds and the number of equipment of a certain type of medical equipment in a certain intensive care unit at a certain confidence level within a specified period stored in the system, calculate the proportional relationship between the number of beds and the number of equipment by weighted average, and adjust the corresponding relationship between the number of beds and the number of medical equipment configurations according to the weighted average result of the historical data.

[0050] Furthermore, the medical equipment is a ventilator, a monitor, ECMO and / or CRRT.

[0051] Furthermore, the intensive care unit equipment standardized configuration model construction module uses the following method to construct the intensive care unit equipment standardized configuration model:

[0052] (1) Statistics: Number of open beds for specific medical facilities ;Number of devices ; Monitoring days are The monitoring date is ; Equipment number is ; Number is of equipment on the monitoring date The daily usage time is , ; Number is of equipment on the monitoring date The power-on time of the day is , ;

[0053] (2) Calculate the monitoring date Number of devices used on the day , calculated as follows:

[0054] ,

[0055] in, ; The value is 0 or 1;

[0056] ;

[0057] The threshold for the daily usage time of the device is usually the larger value of the 10th or 25th percentile of the daily usage time of the device and the set value;

[0058] The threshold for the daily device power-on time is usually the larger of the 10th or 25th percentile of the device's daily power-on time and the set value.

[0059] (3) Statistical monitoring days Number of devices used within Frequency ,

[0060] ,

[0061] in, ; ;

[0062] (4) Statistical monitoring days Number of devices used within The probability distribution of ,

[0063] ,

[0064] in, ;

[0065] (5) Statistical monitoring days Number of devices used within The cumulative probability distribution of ,

[0066] ;

[0067] (6) Set the confidence level to , ; Calculate the confidence level as Minimum number of devices when ,

[0068] ;

[0069] (7) Calculate the confidence level as The minimum number of devices required for a single bed ;

[0070] The calculation formula of the standardized configuration model of intensive care unit equipment is:

[0071] .

[0072] Furthermore, the multidisciplinary intensive care unit equipment configuration standardization model construction module adopts the following method to construct the multidisciplinary intensive care unit equipment configuration standardization model:

[0073] Step W1: Obtain the basic configuration standard data of a certain type of medical equipment in the comprehensive intensive care unit calculated by the standardized configuration model of intensive care unit equipment constructed according to the above method, that is, the ratio relationship between the number of beds and the number of medical equipment configurations at a certain confidence level;

[0074] Step W2: Obtain clinical service data and actual usage data of comprehensive intensive care units: The proportion of admissions to comprehensive intensive care units ranked top The distribution of diseases and distribution of other diseases ; Ranked first in the proportion of patients admitted to comprehensive intensive care units Utilization rate of equipment corresponding to the disease Utilization rate of equipment corresponding to other diseases ; Number of patients discharged from comprehensive intensive care units , average length of stay , Average daily usage time of a single device , number of beds ;

[0075] Step W3: Obtain clinical service data and actual usage data of a certain specialist intensive care unit: The top ranking of the designated specialist intensive care unit in terms of admission ratio The distribution of diseases and distribution of other diseases ; Ranked first in the proportion of patients admitted to designated specialized intensive care units Utilization rate of equipment corresponding to the disease Utilization rate of equipment corresponding to other diseases ; Number of patients discharged from designated specialist intensive care units , average length of stay , Average daily usage time of a single device , number of beds ;

[0076] Step W4: Construct a standardized configuration model for multidisciplinary intensive care unit medical equipment for calculating the corresponding relationship between the number of beds in different specialized wards and the number of certain types of medical equipment. Step W4 includes:

[0077] Step W4.1: Set the top The weight of the disease is The weights of other diseases are ;in, , , ; , ; ;

[0078] Calculate the equipment configuration adjustment factor for a designated specialist intensive care unit :

[0079] ,

[0080] in, ;

[0081] Step W4.2: Assume that the number of equipment configured for each bed in the comprehensive intensive care unit is ; Calculate the number of devices required for each bed in a designated specialist intensive care unit The calculation formula of the standardized configuration model for multidisciplinary intensive care unit medical equipment is as follows:

[0082] .

[0083] The technical effects achieved by adopting the above technical solution are:

[0084] To further improve the efficiency and quality of diagnosis and treatment for patients in critical care units (ICUs), and to promote scientific, rational, and discipline-specific medical equipment configuration for various ICUs, this paper provides a method and system for constructing a standardized configuration model for hospital ICU medical equipment. By constructing a standardized medical equipment configuration model, the minimum number of different types of medical equipment (ventilators, monitors, ECMO (extracorporeal membrane oxygenation), and CRRT (continuous renal replacement therapy)) per bed is explored, providing a basis for hospital management's configuration decisions. The construction of this ICU medical equipment configuration model provides quantifiable data support for hospital medical equipment configuration decisions, improving the efficiency of medical equipment allocation. Furthermore, the standardized configuration model is applied to resource allocation problems across different disciplines, generating dynamic configuration recommendations for critical care medical equipment in different disciplines. This enables configuration adjustments tailored to disciplinary characteristics, promotes scientific and standardized resource allocation, enhances the management level of smart hospitals, and contributes to the sustainable development of critical care medicine. BRIEF DESCRIPTION OF THE DRAWINGS

[0085] Figure 1 This is a flow chart of a method for constructing a standardized configuration model for medical equipment in a comprehensive intensive care unit (ICU) of a hospital, provided by one embodiment of the present invention;

[0086] Figure 2 This is a flow chart of a method for constructing a standardized configuration model for medical equipment configuration in a multidisciplinary intensive care unit provided by one embodiment of the present invention;

[0087] Figure 3 The present invention provides a module structure diagram of a system for constructing a standardized configuration model for hospital ICU medical equipment according to an embodiment of the present invention. DETAILED DESCRIPTION

[0088] The advantages of the present invention are further described below with reference to the accompanying drawings and specific embodiments. Those skilled in the art should understand that the following specific description is illustrative rather than restrictive and should not be used to limit the scope of protection of the present invention.

[0089] Example 1 Standardized configuration model of medical equipment in a comprehensive intensive care unit

[0090] The first embodiment of the present invention provides a method for constructing a standardized configuration model for hospital ICU medical equipment. Figure 1The construction principle of this method is as follows: taking the number of beds in a certain intensive care unit as the base, the relevant data on the actual usage of a certain type of medical equipment (ventilator, monitor, ECMO, CRRT) in the intensive care unit are introduced, such as the number of monitoring days, the number of devices, the daily usage time of the equipment, the daily power-on time of the equipment, and the maximum daily concurrent use of the equipment, to form a configuration model related to the number of beds and the number of equipment configurations at different confidence levels.

[0091] The method comprises the following steps:

[0092] 101: Get the number of open beds in a comprehensive intensive care unit;

[0093] 102: Obtain data related to the use of specific medical equipment in the comprehensive intensive care unit:

[0094] Specific medical equipment includes ventilators, monitors, ECMO and / or CRRT; the usage-related data of each specific medical equipment includes the number of monitoring days, the number of devices, the daily usage time of the equipment, the daily power-on time of the equipment, and the maximum concurrent daily usage of each device.

[0095] 103: Construct a standardized configuration model for intensive care unit equipment to predict the relationship between the number of beds and the minimum number of specific medical equipment at different confidence levels;

[0096] The standardized configuration model for a certain type of medical equipment (ventilator, monitor, ECMO, CRRT) is described as follows:

[0097] (1) Set the number of open beds ;

[0098] (2) Set the number of devices ;

[0099] (3) Assume that the number of monitoring days is The monitoring date is ;

[0100] (4) Assume the device number is ;

[0101] (5) Let the number be of equipment on the monitoring date The daily usage time is , ;

[0102] (6) Let the number be of equipment on the monitoring date The power-on time of the day is , ;

[0103] (7) Calculate the monitoring date Number of devices used on the day , calculated as follows:

[0104] ,

[0105] in, ; The value is 0 or 1;

[0106] ;

[0107] The threshold for the daily usage time of the device is usually the larger value of the 10th or 25th percentile of the daily usage time of the device and the set value;

[0108] The threshold for the daily device power-on time is usually the larger of the 10th or 25th percentile of the device's daily power-on time and the set value.

[0109] (8) Statistical monitoring days Number of devices used within Frequency ,

[0110] ,

[0111] in, ; ;

[0112] (9) Statistical monitoring days Number of devices used within The probability distribution of ,

[0113] ,

[0114] in, ;

[0115] (10) Statistical monitoring days Number of devices used within The cumulative probability distribution of ,

[0116] ;

[0117] (11) Set the signal level to , ;

[0118] (12) Calculate the confidence level as Minimum number of devices when ,

[0119] ;

[0120] (13) Calculate the confidence level as The minimum number of devices required for a single bed , the calculation formula of the standardized configuration model of intensive care unit equipment is:

[0121] ;

[0122] 104: Based on the results calculated by the standardized configuration model, the relationship between the number of beds and the minimum equipment configuration quantity at a specified confidence level is presented in a graphical form.

[0123] Example of implementation effect: The number of open beds in a comprehensive critical care ward is 12; before implementation, the ward was equipped with 15 invasive ventilators; after implementation, at a confidence level of 0.99, the minimum number of invasive ventilators required for the ward is 10. Taking into account the backup requirements, the recommended number of invasive ventilators for the ward is 10 to 11. The four less frequently used devices are included in the allocation library of the hospital's allocation center, achieving the following beneficial effects: at the department level, on the one hand, the efficiency of ventilator use is improved, and on the other hand, the benefits obtained from allocation are proportionally fed back to the ward (borrowing department), which improves the efficiency of ventilator use in the ward; at the hospital level, the efficiency of existing ventilators is improved. At the same time, it provides quantifiable data support for the hospital's medical equipment configuration decisions, which is conducive to the sustainable development of critical care medicine.

[0124] Example 2 Standardized Configuration Model for Medical Equipment Configuration in Multidisciplinary Intensive Care Units

[0125] This embodiment applies the standardized configuration model for intensive care unit equipment constructed in Example 1 to resource allocation problems in different disciplines, and obtains dynamic configuration recommendations for intensive care medical equipment in different disciplines.

[0126] This embodiment provides a method for constructing a standardized configuration model for medical equipment configuration in a multidisciplinary intensive care unit. Figure 2The construction principle of this method is as follows: Based on the basic configuration standards of a certain type of medical equipment (ventilators, monitors, ECMO, CRRT) in comprehensive intensive care units, by analyzing the distribution of diseases (proportion of disease types) and the utilization rate of medical equipment corresponding to each disease type (the probability of using equipment for each disease type) in different specialized intensive care units, the configuration standards of medical equipment in specialized intensive care units are explored. For a certain type of medical equipment, clinical service data and actual usage data of different specialized intensive care units are introduced, such as the distribution of disease types, the utilization rate of medical equipment corresponding to each disease type, the number of discharged patients, the average length of stay in each department, the number of beds in each department, and the average daily usage time of each device. By analyzing the distribution of disease types in comprehensive intensive care units and specialized intensive care units, as well as the inherent relationship between each disease type and the utilization rate of medical equipment, the corresponding relationship between the number of beds in different specialized wards and the number of medical equipment configured is calculated.

[0127] The construction method of the standardized configuration model of medical equipment configuration in multidisciplinary intensive care units is as follows:

[0128] 201: Obtain the basic configuration standard data of a certain type of medical equipment in the comprehensive intensive care unit, that is, the ratio between the number of beds and the number of medical equipment at a certain confidence level;

[0129] 202: Obtain clinical service data and actual usage data for comprehensive intensive care units, such as disease distribution, utilization rate of medical equipment corresponding to disease types, number of discharges per department, average length of stay per department, number of beds per department, and average daily usage time of each medical equipment unit;

[0130] 203: Obtain clinical service data and actual usage data for a specialized intensive care unit, such as disease distribution, utilization rate of medical equipment corresponding to disease types, number of discharges from the department, average length of stay in the department, number of beds in the department, and average daily usage time of each medical equipment unit;

[0131] 204: Explore the configuration standards of medical equipment in specialized intensive care units through a multidisciplinary intensive care unit equipment configuration standardization model;

[0132] (1) Statistics of the ranking of the top hospitals in terms of proportion of patients admitted to comprehensive intensive care units The distribution of diseases and distribution of other diseases ;

[0133] (2) Statistics on the ranking of the top hospitals in terms of proportion of patients admitted to comprehensive intensive care units Utilization rate of equipment corresponding to the disease Utilization rate of equipment corresponding to other diseases ;

[0134] (3) Statistics on the ranking of designated specialized intensive care units in terms of proportion of admissions The distribution of diseases and distribution of other diseases ;

[0135] (4) Statistics on the ranking of the top designated specialist intensive care units in terms of proportion of admissions Utilization rate of equipment corresponding to the disease Utilization rate of equipment corresponding to other diseases ;

[0136] (5) Statistics on the number of patients discharged from comprehensive intensive care units , average length of stay , Average daily usage time of a single device , number of beds ;

[0137] (6) Count the number of patients discharged from designated specialist intensive care units , average length of stay , Average daily usage time of a single device , number of beds ;

[0138] (7) Set the top ranking The weight of the disease is The weights of other diseases are ;in, ; Usually, .

[0139] (8) Calculate the equipment configuration adjustment coefficient for designated specialized intensive care units :

[0140] ,

[0141] in, ;

[0142] (9) Assume that the number of equipment configured for each bed in the comprehensive intensive care unit is ; Calculate the number of devices required for each bed in a designated specialist intensive care unit ;

[0143] ;

[0144] 205: Based on the results of the standardized model for multidisciplinary intensive care unit equipment configuration, the relationship between the number of beds in a specialist ward and the number of medical equipment configurations is presented in a chart.

[0145] Example 3: Hospital ICU Medical Equipment Standardized Configuration Model Construction System

[0146] Another embodiment of the present invention provides a schematic diagram of the logical structure of a hospital ICU medical equipment standardized configuration model construction system, see Figure 3The hospital ICU medical equipment standardized configuration model construction system 3 includes a data acquisition module 31, an intensive care unit equipment standardized configuration model construction module 32, a multidisciplinary intensive care unit equipment configuration standardized model construction module 33, a relationship display module 34 between the number of beds and the number of medical equipment configurations, and a relationship adjustment module 35 between the number of beds and the number of medical equipment configurations.

[0147] The data collection module 31 uses the Internet of Things collection and information system integration method to comprehensively collect data on the actual use and operation of the hospital and its related business data flows, and coordinates the management, summary and analysis of data related to intensive care unit equipment, such as the number of monitoring days, the number of equipment, the daily use time of the equipment, the daily power-on time of the equipment, the maximum daily concurrent use of the equipment, the distribution of diseases, the utilization rate of medical equipment corresponding to the disease, the number of discharges from the department, the average length of stay in the department, and the number of beds in the department.

[0148] The standardized configuration model construction module 32 for intensive care unit equipment calculates the proportional relationship between the number of beds and the number of ventilators configured at different confidence levels based on the construction method of the standardized configuration model for intensive care unit equipment by loading relevant data on the number of beds in a certain intensive care unit and the actual usage of a certain type of medical equipment (ventilator, monitor, ECMO, CRRT) in the intensive care unit (such as the number of monitoring days, the number of equipment, the daily usage time of the equipment, the daily power-on time of the equipment, and the maximum concurrent usage of the equipment).

[0149] The module 33 of the standardized model for equipment configuration in multidisciplinary intensive care units is constructed by loading the basic configuration standard data of a certain type of medical equipment (ventilator, monitor, ECMO, CRRT) in comprehensive intensive care units, the clinical service data of comprehensive intensive care units and designated specialized intensive care units, and the data related to actual usage (such as the distribution of diseases, the utilization rate of medical equipment corresponding to the disease type, the number of discharges in the department, the average length of stay in the department, the number of beds in the department, and the average daily usage time of a single device). According to the construction method of the standardized model for equipment configuration in multidisciplinary intensive care units, the corresponding relationship between the number of beds in different specialized wards and the number of certain types of medical equipment is calculated.

[0150] The module 34 for displaying the relationship between the number of beds and the number of medical equipment configurations displays the corresponding relationship between the number of beds and the number of medical equipment configurations in different intensive care units within a specified period at a certain confidence level in a graphical and list-based visual manner.

[0151] The module 35 for adjusting the relationship between the number of beds and the number of medical equipment configured is used to store the proportional relationship between the number of beds and the number of equipment at a certain confidence level for a certain type of medical equipment in a certain intensive care unit within a specified period, load historical data on the proportional relationship between the number of beds and the number of equipment within a selected time range, calculate the proportional relationship between the number of beds and the number of equipment by weighted average, and adjust the corresponding relationship between the number of beds and the number of medical equipment configured based on the weighted average result of the historical data.

[0152] It should be noted that the embodiments of the present invention have better practicability and do not impose any form of limitation on the present invention. Any technician familiar with the field may use the technical content disclosed above to change or modify it into an equivalent effective embodiment. However, any modification or equivalent changes and modifications made to the above embodiments based on the technical essence of the present invention without departing from the content of the technical solution of the present invention are still within the scope of the technical solution of the present invention.

Claims

1. A method for constructing a standardized configuration model for hospital ICU medical equipment, characterized in that: include: Step S1: Obtain the number of open beds in a comprehensive intensive care unit; Step S2: Obtaining data related to the usage of specific medical equipment in the comprehensive intensive care unit; Step S3: constructing a standardized configuration model for ICU equipment to predict the relationship between the number of beds and the minimum number of specific medical equipment at different confidence levels; Step S4: Based on the results calculated by the standardized configuration model, the relationship between the number of beds and the minimum number of equipment configurations at a specified confidence level is displayed in a graphical form; In step S2, the specific medical devices include ventilators, monitors, ECMO and / or CRRT; the usage-related data of each specific medical device include the number of monitoring days, the number of devices, the daily usage time of the device, the daily power-on time of the device, and the maximum concurrent usage of each device; In step S3, the process of constructing the standardized configuration model of the intensive care unit equipment includes: Step S3.1: Statistics: Number of open beds n for a specific medical facility b ;Number of devices n d ; The number of monitoring days is n t The monitoring date is The device number is Number I i The equipment on the monitoring date d j The usage time on that day is w ij ,(1≤i≤n d , 1≤j≤n t );Number is I i The equipment on the monitoring date d j The power-on time on that day is o ij ,(1≤i≤n d , 1≤j≤n t ); Step S3.2: Calculate monitoring date d j Number of devices used on the day The calculation is as follows: Among them, 1≤j≤n t ;f i The value is 0 or 1; thr w The threshold for the daily usage time of the device is usually the larger value of the 10th or 25th percentile of the daily usage time of the device and the set value; thr o The threshold for the daily device power-on time is usually the larger of the 10th or 25th percentile of the device's daily power-on time and the set value. Step S3.3: Count the number of monitoring days n t The frequency freq of the number of devices k in the k , Where 1≤k≤n d ; Step S3.4: Count the number of monitoring days n t The probability distribution of the number of devices used k in k , Where 1≤k≤n d ; Step S3.5: Count the number of monitoring days n t The cumulative probability distribution of the number of devices used k in accuprob k , Step S3.6: Set the confidence level to p, 0≤p≤1; calculate the minimum number of devices n when the confidence level is p p , Step S3.7: Calculate the minimum number of devices n required for a single bed when the confidence level is p u ; The calculation formula of the standardized configuration model of the hospital ICU medical equipment is as follows:

2. A method for constructing a standardized configuration model for medical equipment in a multidisciplinary intensive care unit, characterized in that: include: Step W1: Obtaining basic configuration standard data of a certain type of medical equipment in a comprehensive intensive care unit calculated according to the standardized configuration model of intensive care unit equipment constructed by the method according to claim 1, that is, the ratio relationship between the number of beds and the number of medical equipment configurations at a certain confidence level; Step W2: Obtain clinical service data and actual usage data of comprehensive intensive care units: distribution of the top m diseases in terms of admission ratio in comprehensive intensive care units p i (1≤i≤m) and the distribution of other diseases p o ; The utilization rate of equipment corresponding to the top m diseases in the comprehensive intensive care unit i (1≤i≤m) and the utilization rate of equipment corresponding to other diseases r o The number of discharges from the comprehensive intensive care unit (ICU) is n, the average length of stay (d), the average daily usage time of a single device (t), and the number of beds (b); Step W3: Obtain clinical service data and actual usage data of a specialist intensive care unit: Specify the distribution of the top m diseases in the specialist intensive care unit. i (1≤i≤m) and the distribution of other diseases P o ; The utilization rate R of the equipment corresponding to the top m diseases in the designated specialized intensive care unit i (1≤i≤m) and the utilization rate of equipment corresponding to other diseases R o ; Designate the number of discharged patients N, average length of stay D, average daily usage time of a single device T, and number of beds B in the specialized intensive care unit; Step W4: Construct a standardized configuration model for multidisciplinary intensive care unit medical equipment for calculating the corresponding relationship between the number of beds in different specialized wards and the number of certain types of medical equipment. Step W4 includes: Step W4.1: Let the weight of the top m diseases be w i (1≤i≤m), the weight of other diseases is w o ; where 0≤w i ≤1, 0≤w o ≤1, w i =1 / (m+1), 1≤i≤m; w o =1 / (m+1); Calculate the equipment configuration adjustment coefficient coef for a designated specialist intensive care unit: Where, eps=0.000000001; Step W4.2: Let the number of devices configured per bed in the general intensive care unit be c; calculate the number of devices configured per bed in the designated specialized intensive care unit, C; The calculation formula of the standardized configuration model for medical equipment configuration in the multidisciplinary intensive care unit is as follows: C = min(c*coef, 1.0); Step W5: Based on the calculation results of the standardized configuration model of medical equipment configuration in multidisciplinary intensive care units, the relationship between the number of beds in a certain specialized ward and the number of medical equipment configurations is displayed in a graphical form.

3. A hospital ICU medical equipment standardized configuration model construction system, characterized by: include: The data collection module is used to use IoT collection and information system integration to comprehensively collect data on the hospital's actual use and operation status and related business data flows, and to coordinate the management, summary and analysis of intensive care unit equipment-related data; The module for constructing a standardized configuration model for ICU equipment is used to load relevant data on the number of beds in a certain ICU and the actual usage of a certain type of medical equipment in the ICU to construct a standardized configuration model for ICU equipment, thereby calculating the proportional relationship between the number of beds and the number of ventilators configured at different confidence levels. The module for constructing a standardized model for equipment configuration in multidisciplinary intensive care units is used to load the basic configuration standard data of a certain type of medical equipment in comprehensive intensive care units, as well as the clinical service data and actual usage data of comprehensive intensive care units and designated specialized intensive care units, to construct a standardized model for equipment configuration in multidisciplinary intensive care units, thereby calculating the correspondence between the number of beds in different specialized wards and the number of certain types of medical equipment configured. The module displays the relationship between the number of beds and the number of medical equipment, which is used to visualize the relationship between the number of beds and the number of medical equipment in different intensive care units within a specified period at a certain confidence level in a graphical and tabular manner. A module for adjusting the relationship between the number of beds and the number of medical equipment configured is used to load historical data on the proportional relationship between the number of beds and the number of equipment within a selected time range based on the proportional relationship between the number of beds and the number of equipment of a certain type of medical equipment at a certain confidence level for a certain intensive care unit within a specified period stored in the system, calculate the proportional relationship between the number of beds and the number of equipment by weighted average, and adjust the corresponding relationship between the number of beds and the number of medical equipment configured based on the weighted average result of the historical data; The medical equipment is a ventilator, a monitor, ECMO and / or CRRT; The data related to the actual usage of a certain type of medical equipment in the intensive care unit includes the number of monitoring days, the number of devices, the daily usage time of the equipment, the daily power-on time of the equipment, and the maximum concurrent usage of each device per day; The ICU equipment standardized configuration model construction module uses the following method to construct the ICU equipment standardized configuration model: (1) Statistical data: Number of open beds for specific medical equipment n b ;Number of devices n d ; The number of monitoring days is n t The monitoring date is The device number is Number I i The equipment on the monitoring date d j The usage time on that day is w ij ,(1≤i≤n d , 1≤j≤n t );Number is I i The equipment on the monitoring date d j The power-on time on that day is o ij ,(1≤i≤n d , 1≤j≤n t ); (2) Calculate the monitoring date d j Number of devices used on the day The calculation is as follows: Among them, 1≤j≤n t ;f i The value is 0 or 1; thr w The threshold for the daily usage time of the device is usually the larger value of the 10th or 25th percentile of the daily usage time of the device and the set value; thr o The threshold for the daily device power-on time is usually the larger of the 10th or 25th percentile of the device's daily power-on time and the set value. (3) Statistical monitoring days n t The frequency freq of the number of devices k in the k , Where 1≤k≤n d ; (4) Statistical monitoring days n t The probability distribution of the number of devices used k in k , Where 1≤k≤n d ; (5) Statistical monitoring days n t The cumulative probability distribution of the number of devices used k in accuprob k , (6) Set the confidence level to p, 0≤p≤1; calculate the minimum number of devices n when the confidence level is p p , (7) Calculate the minimum number of equipment n required for a single bed when the confidence level is p u ; The calculation formula of the standardized configuration model of intensive care unit equipment is: The multidisciplinary intensive care unit equipment configuration standardization model construction module uses the following method to construct a multidisciplinary intensive care unit equipment configuration standardization model: Step W1: Obtain the basic configuration standard data of a certain type of medical equipment in the comprehensive intensive care unit calculated according to the standardized configuration model of intensive care unit equipment, that is, the ratio between the number of beds and the number of medical equipment configurations at a certain confidence level; Step W2: Obtain clinical service data and actual usage data of comprehensive intensive care units: distribution of the top m diseases in terms of admission ratio in comprehensive intensive care units p i (1≤i≤m) and the distribution of other diseases p o ; The utilization rate of equipment corresponding to the top m diseases in the comprehensive intensive care unit i (1≤i≤m) and the utilization rate of equipment corresponding to other diseases r o The number of discharges from the comprehensive intensive care unit (ICU) is n, the average length of stay (d), the average daily usage time of a single device (t), and the number of beds (b); Step W3: Obtain clinical service data and actual usage data of a specialist intensive care unit: Specify the distribution of the top m diseases in the specialist intensive care unit. i (1≤i≤m) and the distribution of other diseases P o ; The utilization rate R of the equipment corresponding to the top m diseases in the designated specialized intensive care unit i (1≤i≤m) and the utilization rate of equipment corresponding to other diseases R o ; Designate the number of discharged patients N, average length of stay D, average daily usage time of a single device T, and number of beds B in the specialized intensive care unit; Step W4: Construct a standardized configuration model for multidisciplinary intensive care unit medical equipment for calculating the corresponding relationship between the number of beds in different specialized wards and the number of certain types of medical equipment. Step W4 includes: Step W4.1: Let the weight of the top m diseases be w i (1≤i≤m), the weight of other diseases is w o ; where 0≤w i ≤1, 0≤w o ≤1, w i =1 / (m+1), 1≤i≤m; w o =1 / (m+1); Calculate the equipment configuration adjustment coefficient coef for a designated specialist intensive care unit: Where, eps=0.000000001; Step W4.2: Assume that the number of devices configured per bed in the general intensive care unit is c; calculate the number of devices configured per bed in the designated specialized intensive care unit, C; the calculation formula for the standardized configuration model of medical equipment configuration in the multidisciplinary intensive care unit is as follows: C = min(c*coef, 1.0).

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