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

Abstract

The invention provides a construction method of a hospital ICU medical equipment standardized configuration model, and a construction method and system of a multidisciplinary intensive care unit medical equipment standardized configuration model. The construction method of the hospital ICU medical equipment standardized configuration model comprises the steps of S1, obtaining the number of open beds of a certain comprehensive intensive care unit; s2, acquiring use condition related data of specific medical equipment in the comprehensive intensive care unit; s3, constructing an intensive care unit equipment standardized configuration model for predicting the relationship between the bed number and the minimum configuration quantity of specific medical equipment under different confidence levels; and S4, according to the calculation result of the standardized configuration model, displaying the relationship between the bed number and the minimum equipment configuration number under the specified confidence level in a chart form. According to the method, quantifiable data support is provided for hospital medical equipment configuration decisions, the medical equipment configuration efficiency is improved, and scientization and standardization of resource configuration are promoted.

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 the Intensive Care Unit (ICU) plays an important role in the diagnosis, treatment and nursing of patients. With the rapid development of modern medicine, the configuration of medical equipment in hospital ICUs has been continuously increasing and improving. In order to provide patients with the best treatment and nursing conditions, the configuration of equipment in ICUs is often pursued to be sufficient and sufficient, and there is often a situation of over-configuration and over-allocation, resulting in a serious waste of medical resources.

[0003] Therefore, the scientific configuration of medical equipment is directly related to the safety of patients. Strengthening the scientific configuration of medical equipment in intensive care units is an important task. With the application of more and more advanced technologies and equipment such as the Internet of Things and big data in intensive care units, it provides strong technical support for the intelligent management of medical equipment. How to improve the rationality of the configuration of ICU medical equipment in hospitals, make the management of intensive care equipment more scientific and standardized, so as to make medical treatment more effective, better serve patients, and comprehensively improve 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 of 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 intensive care unit equipment for predicting the relationship between the number of beds and the minimum configuration quantity 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 of the 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.

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

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

[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 of the daily usage time of the device is usually the larger value of the 10th percentile or 25th percentile of the daily usage time of the device and the set value;

[0017] The threshold of the daily power-on time of the device, which is usually the larger value of the 10th percentile or 25th percentile of the daily power-on time of the device and the set value;

[0018] Step S3.3: Count the number of 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] The second aspect of the present application provides a method for constructing a standardized configuration model for multidisciplinary intensive care unit medical equipment configuration, which includes:

[0032] Step W1: Obtaining 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 Distribution of other diseases ; The proportion of patients admitted to comprehensive intensive care units ranked first The utilization rate of equipment corresponding to the disease type Utilization rate of equipment corresponding to other diseases ; Number of discharges 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 Distribution of other diseases ; Ranked top in the proportion of patients admitted to designated specialist intensive care units The utilization rate of equipment corresponding to the disease type Utilization rate of equipment corresponding to other diseases ; Number of discharges 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 configuration for calculating the corresponding relationship between the number of beds in different specialized wards and the number of certain types of medical equipment configurations. 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 devices 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 of 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 specialist ward and the number of medical equipment configurations is presented in a graphical form.

[0044] The third aspect of the present application provides a hospital ICU medical equipment standardized configuration model construction system, which includes:

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

[0046] The module for constructing a standardized configuration model for intensive care unit equipment is used to construct a standardized configuration model for intensive care unit equipment by loading relevant data on the number of beds in an intensive care unit and the actual usage of a certain type of medical equipment in the intensive care unit, so as to calculate 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 construct a standardized model for equipment configuration in multidisciplinary intensive care units by loading the basic configuration standard data of a certain type of medical equipment 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, so as to calculate the corresponding relationship between the number of beds in different specialized wards and the number of medical equipment configured;

[0048] The module for displaying the relationship between the number of beds and the number of medical equipment configurations is used to display the corresponding relationship between the number of beds and the number of medical equipment configurations of different intensive care units within a specified period at a certain confidence level in a graphical and list-based visualization manner;

[0049] A module for adjusting the relationship between the number of beds and the number of medical equipment configurations 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 at a certain confidence level for a certain type of medical equipment in 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 averaging, and adjust the corresponding relationship between the number of beds and the number of medical equipment configurations based on the weighted average result of the historical data.

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

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

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

[0053] (2) Calculation of 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 of the daily usage time of the device is usually the larger value of the 10th percentile or 25th percentile of the daily usage time of the device and the set value;

[0058] The threshold of the daily power-on time of the device, which is usually the larger value of the 10th percentile or 25th percentile of the daily power-on time of the device 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 signal 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 the intensive care unit equipment is:

[0071] .

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

[0073] Step W1: Obtaining 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 Distribution of other diseases ; The proportion of patients admitted to comprehensive intensive care units ranked first The utilization rate of equipment corresponding to the disease type Utilization rate of equipment corresponding to other diseases ; Number of discharges 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 Distribution of other diseases ; Ranked top in the proportion of patients admitted to designated specialist intensive care units The utilization rate of equipment corresponding to the disease type Utilization rate of equipment corresponding to other diseases ; Number of discharges 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 configuration for calculating the corresponding relationship between the number of beds in different specialized wards and the number of certain types of medical equipment configurations. 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 devices 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 of multidisciplinary intensive care unit medical equipment configuration is as follows:

[0082] .

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

[0084] In order to further improve the efficiency and quality of diagnosis and treatment of patients in critically ill wards, and strive to promote the configuration of medical equipment in various critically ill wards in a scientific, rational and personalized manner, the present invention provides a method and system for constructing a standardized configuration model of medical equipment in a hospital ICU. By constructing a standardized medical equipment configuration model, the minimum configuration quantity of different types of medical equipment (ventilator, monitor, ECMO (i.e., extracorporeal membrane oxygenation), CRRT (i.e., continuous renal replacement therapy)) per bed is explored to provide a basis for the configuration decision of the hospital management. The construction of the medical equipment configuration model for the critically ill ward provides quantifiable data support for the hospital's medical equipment configuration decision, and improves the configuration efficiency of medical equipment. Furthermore, the standardized configuration model is applied to the resource allocation problem of different disciplines, and dynamic configuration suggestions for critical medical equipment in different disciplines are obtained, which realizes configuration adjustment according to the characteristics of the discipline, promotes the scientific and standardized resource allocation, improves the management level of smart hospitals, and contributes to the sustainable development of critical medicine. BRIEF DESCRIPTION OF THE DRAWINGS

[0085] Figure 1 It is a flowchart of a method for constructing a standardized configuration model of hospital ICU medical equipment in a comprehensive intensive care unit provided by an embodiment of the present invention;

[0086] Figure 2 It is a flowchart of a method for constructing a standardized configuration model for multidisciplinary intensive care unit medical equipment configuration provided by an embodiment of the present invention;

[0087] Figure 3 It is a schematic diagram of the module structure of a hospital ICU medical equipment standardized configuration model building system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0088] The advantages of the present invention are further described below in conjunction with 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, see Figure 1, the construction principle of this method is as follows: taking the number of beds in a certain intensive care unit as the base, introducing relevant data on the actual usage of a certain type of medical equipment (ventilator, monitor, ECMO, CRRT) in this intensive care unit, such as the number of monitoring days, the number of devices, the daily usage duration of the devices, the daily startup duration of the devices, and the maximum daily concurrent usage volume of the devices, to form a configuration model related to the number of beds and the number of device configurations under different confidence levels.

[0091] This method includes the following steps:

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

[0093] 102: Obtain relevant data on the usage of specific medical equipment in this comprehensive intensive care unit:

[0094] The specific medical equipment includes ventilators, monitors, ECMO, and / or CRRT; the relevant data on the usage of each specific medical equipment includes the number of monitoring days, the number of devices, the daily usage duration of the devices, the daily startup duration of the devices, and the maximum daily concurrent usage volume of each device.

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

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

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

[0098] (2) Let the number of devices be ;

[0099] (3) Let the number of monitoring days be , and the monitoring date be ;

[0100] (4) Let the device number be ;

[0101] (5) Let the daily usage duration of the device numbered on the monitoring date be , ;

[0102] (6) Let the daily startup duration of the device numbered on the monitoring date be , ;

[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 of the daily usage time of the device is usually the larger value of the 10th percentile or 25th percentile of the daily usage time of the device and the set value;

[0108] The threshold of the daily power-on time of the device, which is usually the larger value of the 10th percentile or 25th percentile of the daily power-on time of the device 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 number of equipment configurations 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 unit is 12; before implementation, the number of invasive ventilators in the ward was 15; 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 requirements for backup machines, the recommended number of invasive ventilators in 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 the allocation are proportionally fed back to the ward (borrowed department), improving 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 hospital medical equipment configuration decisions, which is conducive to the sustainable development of critical care medicine.

[0124] Example 2 Standardized configuration model for multidisciplinary intensive care unit medical equipment

[0125] This embodiment applies the standardized configuration model of intensive care unit equipment constructed in Embodiment 1 to the resource allocation problem of different disciplines, and obtains dynamic configuration suggestions for critical care medical equipment in different disciplines.

[0126] This embodiment provides a method for constructing a standardized configuration model for multidisciplinary intensive care unit medical equipment configuration. Figure 2The construction principle of this method is as follows: Based on the basic configuration standards of a certain type of medical equipment (ventilator, monitor, ECMO, CRRT) in comprehensive intensive care units, by analyzing the distribution of diseases (proportion of diseases) and the utilization rate of medical equipment corresponding to diseases (probability of using equipment for diseases) 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, the clinical service data and actual usage data of different specialized intensive care units are introduced, such as the distribution of diseases, the utilization rate of medical equipment corresponding to diseases, the number of discharged patients 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. By analyzing the distribution of diseases in comprehensive intensive care units and specialized intensive care units and the intrinsic relationship between the utilization rate of various diseases and medical equipment, the corresponding relationship between the number of beds in different specialized wards and the number of medical equipment configurations 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 configurations at a certain confidence level;

[0129] 202: Obtain clinical service data and actual usage data of comprehensive intensive care units, such as disease distribution, utilization rate of medical equipment corresponding to disease, number of discharges from departments, average length of stay in departments, number of beds in departments, and average daily usage time of a single medical device;

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

[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: The top 10 hospitals in terms of proportion of patients admitted to intensive care units The distribution of diseases Distribution of other diseases ;

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

[0134] (3) Statistics on the ranking of the top designated specialist intensive care units in terms of percentage of admissions The distribution of diseases Distribution of other diseases ;

[0135] (4) Statistics on the ranking of designated specialist intensive care units in terms of proportion of patients admitted The utilization rate of equipment corresponding to the disease type 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 The weight of the disease is , the weights of other diseases are ;in, ; Typically, .

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

[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 of 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 3 The 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 between the number of beds and the number of medical equipment configurations 34, and a relationship adjustment module between the number of beds and the number of medical equipment configurations 35.

[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 intensive care unit equipment-related data, 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 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 of the intensive care unit equipment calculates the proportional relationship between the number of beds and the number of ventilators configured at different confidence levels according to the construction method of the standardized configuration model of the intensive care unit equipment by loading the 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 for constructing the standardized model for equipment configuration in multidisciplinary intensive care units is to load 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 disease distribution, utilization rate of medical equipment corresponding to disease types, number of discharges from departments, average length of stay in departments, number of beds in departments, and 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 visualization manner.

[0151] The module 35 for adjusting the relationship between the number of beds and the number of medical equipment configurations stores 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, loads the historical data of the proportional relationship between the number of beds and the number of equipment within a selected time range, calculates the proportional relationship between the number of beds and the number of equipment by weighted average, and can 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.

[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 intensive care unit equipment for predicting the relationship between the number of beds and the minimum configuration quantity 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.

2. The method for constructing a standardized configuration model for hospital ICU medical equipment according to claim 1, characterized in that: 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 daily usage of each device.

3. The method for constructing a standardized configuration model for hospital ICU medical equipment according to claim 1, characterized in that: 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 for a specific medical facility ;Number of devices ; Monitoring days are The monitoring date is ; Equipment number is ; Number is of devices on the monitoring date The daily usage time of , ; Number is of devices on the monitoring date The daily startup time of , ; Step S3.2: Calculate monitoring date Number of devices used on the day , calculated as follows: ， in, ; The value is 0 or 1; ； The threshold of the daily usage time of the device is usually the larger value of the 10th percentile or 25th percentile of the daily usage time of the device and the set value; The threshold of the daily power-on time of the device, which is usually the larger value of the 10th percentile or 25th percentile of the daily power-on time of the device and the set value; Step S3.3: Count the number of monitoring days Number of devices used within Frequency , ， in, ; ; Step S3.4: Count the number of monitoring days Number of devices used within The probability distribution of , ， in, ; Step S3.5: Count the number of monitoring days Number of devices used within The cumulative probability distribution of , ； Step S3.6: Set the signal level to , ; Calculate the confidence level as Minimum number of devices when , ； Step S3.7: Calculate the confidence level as The minimum number of devices required for a single bed ; The calculation formula of the standardized configuration model of the hospital ICU medical equipment is as follows: 。 4. A method for constructing a standardized configuration model for multidisciplinary intensive care unit medical equipment configuration, 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 by using the standardized configuration model of intensive care unit equipment constructed by the method according to any one of claims 1 to 3, 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: The proportion of admissions to comprehensive intensive care units ranked top The distribution of diseases Distribution of other diseases ; The proportion of patients admitted to comprehensive intensive care units ranked first The utilization rate of equipment corresponding to the disease type Utilization rate of equipment corresponding to other diseases ; Number of discharges from comprehensive intensive care units , average length of stay , Average daily usage time of a single device , Number of beds ; 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 Distribution of other diseases ; Ranked top in the proportion of patients admitted to designated specialist intensive care units The utilization rate of equipment corresponding to the disease type Utilization rate of equipment corresponding to other diseases ; Number of discharges from designated specialist intensive care units , average length of stay , Average daily usage time of a single device , Number of beds ; Step W4: Construct a standardized configuration model for multidisciplinary intensive care unit medical equipment configuration for calculating the corresponding relationship between the number of beds in different specialized wards and the number of certain types of medical equipment configurations. Step W4 includes: Step W4.1: Set the top The weight of the disease is , the weights of other diseases are ;in, , , ; , ; ; Calculate the equipment configuration adjustment factor for a designated specialist intensive care unit : ； in, ; Step W4.2: Assume that the number of devices 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 of medical equipment configuration in the multidisciplinary intensive care unit is as follows: ； 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 specialist ward and the number of medical equipment configurations is presented in a graphical form.

5. A hospital ICU medical equipment standardized configuration model construction system, characterized in that: include: The data collection module is used to use the Internet of Things collection and information system integration to comprehensively collect data on the actual use and operation of the hospital and its related business data flows, and to coordinate the management, summary and analysis of data related to intensive care unit equipment; The module for constructing a standardized configuration model for intensive care unit equipment is used to construct a standardized configuration model for intensive care unit equipment by loading relevant data on the number of beds in an intensive care unit and the actual usage of a certain type of medical equipment in the intensive care unit, so as to calculate 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 construct a standardized model for equipment configuration in multidisciplinary intensive care units by loading the basic configuration standard data of a certain type of medical equipment 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, so as to calculate the corresponding relationship between the number of beds in different specialized wards and the number of medical equipment configured; The module for displaying the relationship between the number of beds and the number of medical equipment configurations is used to display the corresponding relationship between the number of beds and the number of medical equipment configurations of different intensive care units within a specified period at a certain confidence level in a graphical and list-based visualization manner; A module for adjusting the relationship between the number of beds and the number of medical equipment configurations 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 at a certain confidence level for a certain type of medical equipment in 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 averaging, and adjust the corresponding relationship between the number of beds and the number of medical equipment configurations based on the weighted average result of the historical data.

6. The hospital ICU medical equipment standardized configuration model construction system as described in claim 5, characterized in that: The medical equipment is a ventilator, a monitor, ECMO and / or CRRT.

7. The hospital ICU medical equipment standardized configuration model construction system according to claim 5, characterized in that: The standardized configuration model construction module for intensive care unit equipment adopts the following method to construct the standardized configuration model for intensive care unit equipment: (1) Statistical data: Number of open beds for specific medical facilities ;Number of devices ; Monitoring days are The monitoring date is ; Equipment number is ; Number is of devices on the monitoring date The daily usage time of , ; Number is of devices on the monitoring date The daily startup time of , ; (2) Calculation of monitoring date Number of devices used on the day , calculated as follows: ， in, ; The value is 0 or 1; ； The threshold of the daily usage time of the device is usually the larger value of the 10th percentile or 25th percentile of the daily usage time of the device and the set value; The threshold of the daily power-on time of the device, which is usually the larger value of the 10th percentile or 25th percentile of the daily power-on time of the device and the set value; (3) Statistical monitoring days Number of devices used within Frequency , ， in, ; ; (4) Statistical monitoring days Number of devices used within The probability distribution of , ， in, ; (5) Statistical monitoring days Number of devices used within The cumulative probability distribution of , ； (6) Set the signal level to , ; Calculate the confidence level as Minimum number of devices when , ； (7) Calculate the confidence level as The minimum number of devices required for a single bed ; The calculation formula of the standardized configuration model of the intensive care unit equipment is: 。 8. The hospital ICU medical equipment standardized configuration model construction system as described in claim 5, characterized in that: The multidisciplinary intensive care unit equipment configuration standardized model construction module uses the following method to construct a multidisciplinary intensive care unit equipment configuration standardized model: Step W1: obtaining basic configuration standard data of a certain type of medical equipment in a comprehensive intensive care unit calculated by using the standardized configuration model of intensive care unit equipment constructed by the method according to any one of claims 1 to 3, 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: The proportion of admissions to comprehensive intensive care units ranked top The distribution of diseases Distribution of other diseases ; The proportion of patients admitted to comprehensive intensive care units ranked first The utilization rate of equipment corresponding to the disease type Utilization rate of equipment corresponding to other diseases ; Number of discharges from comprehensive intensive care units , average length of stay , Average daily usage time of a single device , Number of beds ; 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 Distribution of other diseases ; Ranked top in the proportion of patients admitted to designated specialist intensive care units The utilization rate of equipment corresponding to the disease type Utilization rate of equipment corresponding to other diseases ; Number of discharges from designated specialist intensive care units , average length of stay , Average daily usage time of a single device , Number of beds ; Step W4: Construct a standardized configuration model for multidisciplinary intensive care unit medical equipment configuration for calculating the corresponding relationship between the number of beds in different specialized wards and the number of certain types of medical equipment configurations. Step W4 includes: Step W4.1: Set the top The weight of the disease is , the weights of other diseases are ;in, , , ; , ; ; Calculate the equipment configuration adjustment factor for a designated specialist intensive care unit : ， in, ; Step W4.2: Assume that the number of devices 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 of multidisciplinary intensive care unit medical equipment configuration is as follows: 。

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