Medical device use evaluation method and apparatus, electronic device, and storage medium

Abstract

The application discloses a medical equipment use evaluation method and device, an electronic device, and a storage medium. The method comprises the following steps: obtaining a preset use evaluation index framework of a medical equipment; obtaining use evaluation data of the corresponding medical equipment based on the preset use evaluation index framework, wherein the use evaluation data is obtained based on real use condition data of the medical equipment; determining a comprehensive evaluation index of the medical equipment according to a preset use evaluation strategy and the use evaluation data; and determining a use evaluation result of the medical equipment according to the comprehensive evaluation index of the medical equipment. The application evaluates the use condition of the medical equipment by obtaining real and reliable use evaluation data, and evaluating the use condition of the medical equipment from different use evaluation aspects based on the preset use evaluation index framework and a comprehensive index evaluation strategy. The analysis result is objective, comprehensive, and in line with the actual situation, thereby improving the use efficiency of the medical equipment, meeting the clinical use demand, and achieving the purpose of reasonable, efficient and safe use of the medical equipment.

Description

Technical Field

[0001] This application relates to the field of medical device technology, and in particular to a method, apparatus, electronic device, and storage medium for evaluating the use of medical devices. Background Technology

[0002] Large-scale medical imaging equipment is a type of specialized medical resource that involves complex technology, large capital investment, high operating costs, and a significant impact on medical expenses. It is directly related to medical quality and safety, medical costs, and the health rights of the people.

[0003] The "Administrative Measures for the Clinical Use of Medical Devices" require the monitoring and evaluation of the clinical use of medical devices, and the conduct of technical needs analysis and cost-benefit assessments. The "Administrative Measures for the Configuration and Use of Large Medical Equipment" stipulates that medical institutions should strengthen the management of the use of large medical equipment, strictly adhere to operating procedures, ensure the safe and effective use of equipment, and improve equipment utilization rates.

[0004] CT (Computed Tomography) and MRI (Magnetic Resonance Imaging) equipment are currently the most frequently used large-scale medical imaging devices in clinical practice. Their use has improved the early diagnosis of diseases and the quality of medical services, thereby increasing the economic benefits of hospitals. However, sometimes excessive testing and other unreasonable uses have also increased the financial burden of healthcare for the public. Therefore, to rationally allocate and effectively utilize large-scale medical imaging equipment and control excessive increases in healthcare costs, a complete, systematic, objective, and highly operational evaluation scheme for the use of large-scale medical imaging equipment is needed.

[0005] Existing solutions for evaluating the use of large-scale medical imaging equipment suffer from several problems, including incomplete evaluation standards, underutilization of real-world usage data, and insufficient data sources. The lack of large-scale, systematic, and comprehensive research makes it impossible to fully understand the actual usage of the equipment, leading to low utilization rates and a waste of medical resources. Summary of the Invention

[0006] This application provides a method, apparatus, electronic device, and storage medium for evaluating the use of medical devices, so as to achieve a complete, systematic, objective, and highly operable evaluation of the use of medical devices.

[0007] The embodiments of this application adopt the following technical solutions:

[0008] In a first aspect, embodiments of this application provide a method for evaluating the use of a medical device, wherein the method includes:

[0009] A preset usage evaluation index framework for medical devices is obtained, wherein the preset usage evaluation index framework includes an evaluation domain, an evaluation subdomain corresponding to the evaluation domain, and an evaluation element corresponding to the evaluation subdomain.

[0010] Based on the preset usage evaluation index framework, the corresponding usage evaluation data of medical equipment is obtained, and the usage evaluation data is obtained based on the actual usage data of medical equipment.

[0011] The comprehensive evaluation index of the medical device is determined based on the preset usage evaluation strategy and the usage evaluation data.

[0012] The evaluation result of the use of the medical equipment is determined based on the comprehensive evaluation index of the medical equipment.

[0013] Optionally, the preset evaluation index framework for acquiring medical devices includes:

[0014] Obtain a set of basic indicators for evaluating the use of medical equipment;

[0015] Based on the set of basic indicators for evaluating the use of the medical equipment, the preset evaluation indicator framework is constructed.

[0016] Optionally, the usage evaluation data includes first usage evaluation data and second usage evaluation data, and the step of obtaining the corresponding medical device usage evaluation data based on the preset usage evaluation index framework includes:

[0017] Based on the preset usage evaluation index framework, the actual usage data of the medical equipment is obtained using the data acquisition device of the medical equipment, and used as the first usage evaluation data.

[0018] Based on the first usage evaluation data, the second usage evaluation data corresponding to the first usage evaluation data is obtained from each hospital information system.

[0019] Optionally, the preset usage evaluation index framework includes evaluation elements, the medical equipment includes multiple units, and the step of determining the comprehensive evaluation index of the medical equipment based on the preset usage evaluation strategy and the usage evaluation data includes:

[0020] The usage evaluation data corresponding to the evaluation elements are preprocessed to obtain preprocessed usage evaluation data.

[0021] The contribution of the evaluation elements is determined based on the preprocessed usage evaluation data.

[0022] Based on the contribution of the evaluation elements, calculate the score of each medical device corresponding to the evaluation element among all medical devices;

[0023] The comprehensive evaluation index of each medical device is determined based on its score among all medical devices.

[0024] Optionally, the preprocessing of the usage evaluation data corresponding to the evaluation elements to obtain preprocessed usage evaluation data includes:

[0025] Based on the criteria, abnormal data in the usage evaluation data corresponding to the evaluation elements are filtered to obtain filtered usage evaluation data.

[0026] The filtered usage evaluation data is averaged to obtain the mean data corresponding to the evaluation elements;

[0027] The mean data corresponding to the evaluation elements are constrained within a range to obtain the preprocessed usage evaluation data.

[0028] Optionally, determining the contribution of the evaluation element based on the preprocessed usage evaluation data includes:

[0029] Determine the standard deviation of the preprocessed evaluation data and the correlation coefficient between the evaluation elements and the medical devices;

[0030] The contribution of each evaluation element is determined based on the standard deviation of the preprocessed evaluation data and the correlation coefficient between the evaluation element and the medical device.

[0031] Optionally, determining the comprehensive evaluation index of each medical device based on its score among all medical devices includes:

[0032] Based on the score of each medical device among all medical devices, determine the highest score and the lowest score of each medical device.

[0033] Determine a first distance between the score of each medical device among all medical devices and the highest score of the medical device, and a second distance between the score of each medical device among all medical devices and the lowest score of the medical device;

[0034] The comprehensive evaluation index of each medical device is determined based on the first distance and the second distance.

[0035] Secondly, embodiments of this application also provide a medical device for evaluating its use, wherein the device includes:

[0036] The first acquisition unit is used to acquire a preset usage evaluation index framework for medical devices. The preset usage evaluation index framework includes an evaluation domain, an evaluation subdomain corresponding to the evaluation domain, and an evaluation element corresponding to the evaluation subdomain.

[0037] The second acquisition unit is used to acquire the corresponding medical device usage evaluation data based on the preset usage evaluation index framework. The usage evaluation data is obtained based on the actual usage data of the medical device.

[0038] The first determining unit is used to determine the comprehensive evaluation index of the medical device based on a preset usage evaluation strategy and the usage evaluation data.

[0039] The second determining unit is used to determine the usage evaluation result of the medical device based on the comprehensive evaluation index of the medical device.

[0040] Thirdly, embodiments of this application also provide an electronic device, including:

[0041] Processor; and

[0042] A memory configured to store computer-executable instructions, which, when executed, cause the processor to perform any of the methods described above.

[0043] Fourthly, embodiments of this application also provide a computer-readable storage medium that stores one or more programs, which, when executed by an electronic device including multiple applications, cause the electronic device to perform any of the methods described above.

[0044] The above-mentioned at least one technical solution adopted in the embodiments of this application can achieve the following beneficial effects: The medical device usage evaluation method of the embodiments of this application first obtains a preset usage evaluation index framework for the medical device. The preset usage evaluation index framework includes an evaluation domain, an evaluation subdomain corresponding to the evaluation domain, and an evaluation element corresponding to the evaluation subdomain. Then, based on the preset usage evaluation index framework, the corresponding medical device usage evaluation data is obtained. The usage evaluation data is obtained based on the actual usage data of the medical device. Afterwards, a comprehensive evaluation index for the medical device is determined according to the preset usage evaluation strategy and the usage evaluation data. Finally, the usage evaluation result of the medical device is determined according to the comprehensive evaluation index of the medical device. The medical device usage evaluation method of the embodiments of this application, by obtaining real, reliable, and extensive usage evaluation data, evaluates the usage of medical devices from different usage evaluation aspects using a certain evaluation strategy based on the preset usage evaluation index framework. The analysis results are objective, comprehensive, and consistent with reality, thereby improving the usage efficiency of medical devices, meeting clinical usage needs, and achieving the goal of rational, efficient, and safe use of medical devices. Attached Figure Description

[0045] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings:

[0046] Figure 1 This is a flowchart illustrating a method for evaluating the use of a medical device according to an embodiment of this application;

[0047] Figure 2 This is a schematic diagram of the structure of a medical device usage evaluation device according to an embodiment of this application;

[0048] Figure 3 This is a schematic diagram of the structure of an electronic device according to an embodiment of this application. Detailed Implementation

[0049] To make the objectives, technical solutions, and advantages of this application clearer, the technical solutions of this application will be clearly and completely described below in conjunction with specific embodiments and corresponding drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0050] The technical solutions provided by the various embodiments of this application are described in detail below with reference to the accompanying drawings.

[0051] This application provides a method for evaluating the use of medical devices, such as... Figure 1 The diagram provided illustrates a flowchart of a method for evaluating the use of a medical device according to an embodiment of this application. The method includes at least the following steps S110 to S140:

[0052] Step S110: Obtain a preset usage evaluation index framework for medical devices. The preset usage evaluation index framework includes an evaluation domain, an evaluation subdomain corresponding to the evaluation domain, and evaluation elements corresponding to the evaluation subdomain.

[0053] In this embodiment of the application, when evaluating the use of medical equipment, it is necessary to first obtain a preset evaluation index framework for the medical equipment. The preset evaluation index framework is mainly a pre-constructed evaluation index system for different types of large medical equipment. It can be obtained based on relevant guidance documents for the use of medical equipment and a large amount of practical data on hospital information equipment management. It also defines or divides multiple evaluation indicators at different levels in combination with the actual evaluation objects and evaluation needs, so as to provide support for a more objective and comprehensive evaluation of the use of medical equipment.

[0054] Step S120: Based on the preset usage evaluation index framework, obtain the corresponding medical device usage evaluation data, which is obtained based on the actual usage data of the medical device.

[0055] After obtaining the above-mentioned preset usage evaluation index framework, it is necessary to further obtain the corresponding medical device usage evaluation data. The usage evaluation data in this application embodiment mainly comes from the actual usage data of medical devices, so as to more objectively reflect the usage of medical devices.

[0056] Step S130: Determine the comprehensive evaluation index of the medical device based on the preset usage evaluation strategy and the usage evaluation data.

[0057] After obtaining the usage evaluation data, it is necessary to further combine it with the preset usage evaluation strategy to determine the comprehensive evaluation index of the medical equipment. The preset usage evaluation strategy can be understood as evaluating the overall usage of the medical equipment from the perspective of each individual medical device. It can comprehensively process the usage evaluation data corresponding to the multiple different dimensions of usage evaluation indicators involved in the preset usage evaluation index framework, thereby reflecting the usage of the medical equipment more comprehensively.

[0058] Step S140: Determine the usage evaluation result of the medical device based on the comprehensive evaluation index of the medical device.

[0059] In real-world applications, there are usually multiple units of each type of medical device. The aforementioned comprehensive evaluation index reflects the usage of each medical device in terms of the comprehensive evaluation dimension. Therefore, this application embodiment can further analyze the overall usage of each type of medical device based on the comprehensive evaluation index of each medical device, thereby obtaining the usage evaluation results of each type of medical device.

[0060] The medical device usage evaluation method of this application obtains real, reliable and extensive usage evaluation data, and evaluates the usage of medical devices from different usage evaluation aspects using certain evaluation strategies based on a preset usage evaluation index framework. The analysis results are objective, comprehensive and in line with reality, thereby improving the usage efficiency of medical devices, meeting clinical usage needs and achieving the goal of rational, efficient and safe use of medical devices.

[0061] In some embodiments of this application, obtaining the preset usage evaluation index framework for medical devices includes: obtaining a set of basic usage evaluation indicators for medical devices; and constructing the preset usage evaluation index framework based on the set of basic usage evaluation indicators for medical devices.

[0062] In this embodiment of the application, when obtaining the preset evaluation index framework for medical devices, a basic evaluation index set for the medical devices can be obtained first. This basic evaluation index set can be obtained from guiding documents such as the "Administrative Measures for Clinical Use of Medical Devices," extensive practical data from hospital information technology equipment management, and multiple expert seminars, making it more practical. The basic evaluation index set can mainly include an advanced function evaluation index system for medical devices, a classification evaluation index system for medical devices, and a general evaluation index system for medical devices. Each evaluation index system can include multiple fields and various evaluation indicators, thus providing strong support for the construction of the evaluation index framework for medical devices.

[0063] The medical device usage evaluation index framework of this application embodiment is mainly based on the above-mentioned basic usage evaluation index set. From it, usage evaluation models and hierarchical evaluation elements related to the usage evaluation of medical devices are selected, thereby constructing the medical device usage evaluation index framework. The medical device usage evaluation index framework of this application embodiment can be divided into multi-level evaluation indicators, which may specifically include evaluation domains, evaluation subdomains corresponding to the evaluation domains, and evaluation elements corresponding to the evaluation subdomains.

[0064] For CT equipment, evaluation domains can be established from multiple perspectives, including technical evaluation models, system reliability models, clinical application evaluation models, fault level models, functional evaluation models, dose evaluation models, and health economics evaluation models, to conduct usage evaluation analysis of the equipment. Under each evaluation model, further sub-domains can be defined. For example, the technical evaluation model can include multiple sub-domains such as spatial resolution; the system reliability model can include multiple sub-domains such as overall machine reliability; the clinical application evaluation model can include multiple sub-domains such as clinical efficacy evaluation; the fault level model can include multiple sub-domains such as (Level I) severe; the functional evaluation model can include multiple sub-domains such as the proportion of basic application functions; the dose evaluation model can include multiple sub-domains such as CT dose index (CTDI) and effective radiation dose (ED); and the health economics evaluation model can include multiple sub-domains such as revenue and cost. For each evaluation sub-domain of the evaluation model, evaluation elements can be further defined. For example, in the system reliability model, overall machine reliability and core component reliability can each include one or more evaluation elements; in the clinical application evaluation model, image physical quality and clinical imaging quality can each include one or more evaluation elements, and so on.

[0065] For MRI equipment, evaluation domains can be established from several aspects, including technical evaluation models, system reliability models, clinical application evaluation models, fault level models, functional evaluation models, and health economics evaluation models, to conduct usage evaluation analysis of the equipment. Similarly, under each evaluation model, further evaluation subdomains can be determined. For example, the technical evaluation model includes multiple evaluation subdomains such as magnetic field uniformity and liquid nitrogen evaporation; the system reliability model includes multiple evaluation subdomains such as overall machine reliability; the clinical application evaluation model includes multiple evaluation subdomains such as clinical imaging quality and clinical effect evaluation; the fault level model includes multiple evaluation subdomains such as (Level I) severe; the functional evaluation model includes multiple evaluation subdomains such as the proportion of basic application functions; and the health economics evaluation model includes multiple evaluation subdomains such as revenue and cost. Likewise, within each evaluation subdomain of the evaluation model, one or more evaluation element items corresponding to the evaluation subdomain can be further determined.

[0066] As can be seen, different types of medical equipment require different hierarchical structures in their usage evaluation indicator frameworks, as well as variations in the evaluation content and data acquisition methods at each level. For example, the evaluation framework for CT equipment includes a dose evaluation model, which is a crucial evaluation dimension for CT devices, while MRI equipment does not. Therefore, in practical applications, it is necessary to objectively design or adjust the corresponding usage evaluation indicator system based on the type of medical equipment being evaluated. In other words, the usage evaluation indicator framework described above is merely an example. In specific applications, the hierarchical structure of the evaluation indicator system and the settings of indicators at each level can be flexibly adjusted according to actual needs; no specific limitations are imposed here.

[0067] In some embodiments of this application, the usage evaluation data includes first usage evaluation data and second usage evaluation data. The step of obtaining the corresponding medical device usage evaluation data based on the preset usage evaluation index framework includes: obtaining the actual usage data of the medical device using the data acquisition device of the medical device based on the preset usage evaluation index framework, as the first usage evaluation data; and obtaining the second usage evaluation data corresponding to the first usage evaluation data from various hospital information systems based on the first usage evaluation data.

[0068] The usage evaluation data in this application primarily comes from two sources: firstly, actual usage data, and secondly, data related to the hospital information system. For the first source, imaging acquisition devices can be used to collect data from standard output ports of medical equipment, such as DICOM (Digital Imaging and Communications in Medicine), and video signals from the operational process. Real-time analysis is then performed using visual perception technologies such as machine learning to obtain actual usage data for the medical equipment, including its power-on time, operating time, examination time for a single patient, patient examination intervals, and dosage. For the second source, the fields of the aforementioned collected actual usage data can be linked to various hospital information systems, combined with information technology, to further obtain other usage data related to the actual usage data. This other usage data may include, for example, examination items, positive rates, billing items, billing information, labor costs, and maintenance costs.

[0069] This application embodiment obtains original usage evaluation data by fusing real usage data collected by an image acquisition device with relevant data from the hospital information system. The data sources are extensive and comprehensive, ensuring the completeness and objectivity of the usage evaluation results.

[0070] In some embodiments of this application, the preset usage evaluation index framework includes evaluation elements, the medical devices include multiple units, and the step of determining the comprehensive evaluation index of the medical devices according to the preset usage evaluation strategy and the usage evaluation data includes: preprocessing the usage evaluation data corresponding to the evaluation elements to obtain preprocessed usage evaluation data; determining the contribution of the evaluation elements based on the preprocessed usage evaluation data; calculating the score of each medical device corresponding to the evaluation element among all medical devices based on the contribution of the evaluation elements; and determining the comprehensive evaluation index of each medical device based on the score of each medical device among all medical devices.

[0071] As mentioned above, the preset usage evaluation index framework can include evaluation elements. Evaluation elements can be regarded as the evaluation index at the last level in the entire usage evaluation index framework. Therefore, the usage evaluation data obtained in the aforementioned embodiments can refer to the usage evaluation data corresponding to the evaluation element dimensions. By analyzing layer by layer upwards, the comprehensive evaluation index of the medical equipment can be obtained.

[0072] Specifically, in calculating the comprehensive evaluation index of each medical device, the usage evaluation data corresponding to the evaluation elements in this embodiment can be preprocessed first. This preprocessing may include filtering outlier data and data normalization to ensure the reliability and accuracy of the usage evaluation data. Based on the preprocessed usage evaluation data, the contribution of each evaluation element can be calculated in terms of the stability and independence of the usage evaluation data. The contribution can be understood as the stability and independence of the usage evaluation data corresponding to each evaluation element within the overall evaluation result of the medical device. The lower the stability and the higher the independence, the greater the corresponding contribution. Based on the contribution of each evaluation element, the score of each medical device corresponding to each evaluation element among all medical devices can be further calculated. That is, the relative usage of each medical device among all medical devices is measured at each evaluation element level. Finally, the comprehensive evaluation index of each medical device is calculated based on its score among all medical devices, ensuring the objectivity and reliability of the evaluation results.

[0073] In some embodiments of this application, the preprocessing of the usage evaluation data corresponding to the evaluation elements to obtain preprocessed usage evaluation data includes: filtering out abnormal data in the usage evaluation data corresponding to the evaluation elements based on criteria to obtain filtered usage evaluation data; performing mean processing on the filtered usage evaluation data to obtain mean data corresponding to the evaluation elements; and applying range constraints to the mean data corresponding to the evaluation elements to obtain the preprocessed usage evaluation data.

[0074] The preprocessing operations adopted in this application mainly include abnormal data filtering and range constraints on indicator data. Let x be the evaluation data used for the evaluation element. ij Where, x ij ≥0, 1≤i≤m, 1≤j≤n, where i represents the medical device number and j represents the evaluation element number, indicating a total of m medical devices and n evaluation element items. The preprocessing operation can then be implemented as follows:

[0075] 1) Based on the 3σ criterion, outlier values ​​in the usage evaluation data corresponding to each evaluation element are removed, and then the mean of each evaluation element is calculated using the remaining usage evaluation data.

[0076] 2) The mean value of each evaluation element j Apply range constraints and calculate the new values ​​for each evaluation element as follows:

[0077]

[0078] Of course, those skilled in the art can flexibly set the specific range within which the values ​​of each evaluation element are constrained, based on actual needs, and no specific limitations are made here. After the above preprocessing, the final value corresponding to each evaluation element can be obtained, ensuring the accuracy of subsequent data processing.

[0079] In some embodiments of this application, determining the contribution of the evaluation element based on the preprocessed usage evaluation data includes: determining the standard deviation of the preprocessed usage evaluation data and the correlation coefficient between the evaluation element and the medical device; and determining the contribution of the evaluation element based on the standard deviation of the preprocessed usage evaluation data and the correlation coefficient between the evaluation element and the medical device.

[0080] In calculating the contribution B of each evaluation element j j When considering the evaluation elements, the stability and independence of the evaluation data can be taken into account. For example, the contribution B of each evaluation element j can be calculated in the following way. j ;

[0081]

[0082] Among them, S j for standard deviation, r ij The correlation coefficient is the coefficient between any two evaluation factors.

[0083] In some embodiments of this application, determining the comprehensive evaluation index of each medical device based on its score among all medical devices includes: determining the highest score and the lowest score of each medical device based on its score among all medical devices; determining a first distance between the score of each medical device among all medical devices and the highest score of the medical device, and a second distance between the score of each medical device among all medical devices and the lowest score of the medical device; and determining the comprehensive evaluation index of each medical device based on the first distance and the second distance.

[0084] In determining the comprehensive evaluation index of each medical device based on its score among all medical devices, the embodiments of this application may employ the following steps:

[0085] 1) Based on the contribution of the evaluation elements, calculate the score of the i-th medical device in evaluation element j among all m medical devices. For example, the following method can be used:

[0086]

[0087] 2) Calculate the distance between the i-th medical device and the maximum score. For example, the following method can be used:

[0088]

[0089] in,

[0090] 3) Calculate the distance between the i-th medical device and the minimum score. For example, the following method can be used:

[0091]

[0092] in,

[0093] 4) Calculate the comprehensive evaluation index y of the i-th medical device. i For example, the following methods can be used:

[0094]

[0095] Among them, y i The larger the value, the closer the score of the i-th medical device is to the maximum score, indicating that the i-th medical device is being used better; conversely, the smaller the value, the better. i The smaller the value, the closer the score of the i-th medical device is to the minimum score, which in turn indicates that the i-th medical device is in poorer condition.

[0096] In some embodiments of this application, determining the usage evaluation result of the medical device based on the comprehensive evaluation index of the medical device includes: ranking the usage of the medical devices from high to low or from low to high according to the comprehensive evaluation index of each medical device, thereby obtaining a usage evaluation ranking of the medical devices; and / or comparing the comprehensive evaluation index and the expected index of each medical device, counting the number and proportion of medical devices that meet the standards, and issuing warnings for medical devices that do not meet the expected goals; and / or identifying medical devices with good usage and medical devices with poor usage based on the comprehensive evaluation index; and / or dynamically monitoring the usage of the medical devices based on the time dimension.

[0097] This application embodiment also provides a medical device usage evaluation device 200, such as... Figure 2 As shown, a schematic diagram of the structure of a medical device usage evaluation device according to an embodiment of this application is provided. The device 200 includes: a first acquisition unit 210, a second acquisition unit 220, a first determination unit 230, and a second determination unit 240, wherein:

[0098] The first acquisition unit 210 is used to acquire a preset usage evaluation index framework for medical equipment. The preset usage evaluation index framework includes an evaluation domain, an evaluation subdomain corresponding to the evaluation domain, and an evaluation element corresponding to the evaluation subdomain.

[0099] The second acquisition unit 220 is used to acquire the corresponding medical device usage evaluation data based on the preset usage evaluation index framework, wherein the usage evaluation data is obtained based on the actual usage data of the medical device.

[0100] The first determining unit 230 is used to determine the comprehensive evaluation index of the medical device based on a preset usage evaluation strategy and the usage evaluation data.

[0101] The second determining unit 240 is used to determine the use evaluation result of the medical device based on the comprehensive evaluation index of the medical device.

[0102] In some embodiments of this application, the first acquisition unit 210 is specifically used to: acquire a set of basic indicators for the evaluation of the use of medical devices; and construct the preset evaluation indicator framework based on the set of basic indicators for the evaluation of the use of medical devices.

[0103] In some embodiments of this application, the usage evaluation data includes first usage evaluation data and second usage evaluation data. The second acquisition unit 220 is specifically used to: acquire real usage data of medical equipment using a data acquisition device of medical equipment based on the preset usage evaluation index framework, as the first usage evaluation data; and acquire the second usage evaluation data corresponding to the first usage evaluation data from various hospital information systems based on the first usage evaluation data.

[0104] In some embodiments of this application, the preset usage evaluation index framework includes evaluation elements, and the medical devices include multiple units. The first determining unit 230 is specifically used for: preprocessing the usage evaluation data corresponding to the evaluation elements to obtain preprocessed usage evaluation data; determining the contribution of the evaluation elements based on the preprocessed usage evaluation data; calculating the score of each medical device corresponding to the evaluation element among all medical devices based on the contribution of the evaluation elements; and determining the comprehensive evaluation index of each medical device based on the score of each medical device among all medical devices.

[0105] In some embodiments of this application, the first determining unit 230 is specifically used to: filter abnormal data in the usage evaluation data corresponding to the evaluation elements based on criteria to obtain filtered usage evaluation data; perform mean processing on the filtered usage evaluation data to obtain mean data corresponding to the evaluation elements; and impose range constraints on the mean data corresponding to the evaluation elements to obtain the preprocessed usage evaluation data.

[0106] In some embodiments of this application, the first determining unit 230 is specifically used to: determine the standard deviation of the preprocessed usage evaluation data and the correlation coefficient between the evaluation element and the medical device; and determine the contribution of the evaluation element based on the standard deviation of the preprocessed usage evaluation data and the correlation coefficient between the evaluation element and the medical device.

[0107] In some embodiments of this application, the first determining unit 230 is specifically used to: determine the highest score and the lowest score of each medical device based on the scores of each medical device among all medical devices; determine a first distance between the score of each medical device among all medical devices and the highest score of the medical device, and a second distance between the score of each medical device among all medical devices and the lowest score of the medical device; and determine a comprehensive evaluation index of each medical device based on the first distance and the second distance.

[0108] It is understood that the above-mentioned medical device usage evaluation device can realize each step of the medical device usage evaluation method provided in the foregoing embodiments. The relevant explanations of the medical device usage evaluation method are applicable to the medical device usage evaluation device, and will not be repeated here.

[0109] Figure 3 This is a schematic diagram of the structure of an electronic device according to an embodiment of this application. Please refer to it. Figure 3 At the hardware level, the electronic device includes a processor, and optionally also includes an internal bus, a network interface, and memory. The memory may include main memory, such as high-speed random-access memory (RAM), or non-volatile memory, such as at least one disk drive. Of course, the electronic device may also include other hardware required for other business operations.

[0110] The processor, network interface, and memory can be interconnected via an internal bus, which can be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus, or an EISA (Extended Industry Standard Architecture) bus, etc. This bus can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 3 The symbol is represented by a single double-headed arrow, but this does not mean that there is only one bus or one type of bus.

[0111] Memory is used to store programs. Specifically, programs may include program code, which includes computer operation instructions. Memory may include main memory and non-volatile memory, and provides instructions and data to the processor.

[0112] The processor reads the corresponding computer program from non-volatile memory into main memory and then executes it, forming a usage evaluation device for the medical device at the logical level. The processor executes the program stored in memory and specifically performs the following operations:

[0113] A preset usage evaluation index framework for medical devices is obtained, wherein the preset usage evaluation index framework includes an evaluation domain, an evaluation subdomain corresponding to the evaluation domain, and an evaluation element corresponding to the evaluation subdomain.

[0114] Based on the preset usage evaluation index framework, the corresponding usage evaluation data of medical equipment is obtained, and the usage evaluation data is obtained based on the actual usage data of medical equipment.

[0115] The comprehensive evaluation index of the medical device is determined based on the preset usage evaluation strategy and the usage evaluation data.

[0116] The evaluation result of the use of the medical equipment is determined based on the comprehensive evaluation index of the medical equipment.

[0117] The above is as stated in this application. Figure 1The method executed by the medical device use evaluation device disclosed in the illustrated embodiment can be applied to a processor or implemented by a processor. The processor may be an integrated circuit chip with signal processing capabilities. During implementation, each step of the above method can be completed by integrated logic circuits in the processor's hardware or by instructions in software form. The processor can be a general-purpose processor, including a Central Processing Unit (CPU), a Network Processor (NP), etc.; it can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. It can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of this application. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the method disclosed in the embodiments of this application can be directly embodied as being executed by a hardware decoding processor, or executed by a combination of hardware and software modules in the decoding processor. The software module can reside in a mature storage medium in the field, such as random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, or registers. This storage medium is located in memory, and the processor reads information from the memory and, in conjunction with its hardware, completes the steps of the above method.

[0118] The electronic device can also perform Figure 1 The method for implementing the use evaluation device of medical equipment, and realizing the use evaluation device of medical equipment in Figure 1 The functions of the embodiments shown are not described in detail here.

[0119] This application also proposes a computer-readable storage medium that stores one or more programs, the programs including instructions that, when executed by an electronic device including multiple applications, enable the electronic device to perform... Figure 1 The method executed by the medical device usage evaluation device in the illustrated embodiment is specifically used to perform:

[0120] A preset usage evaluation index framework for medical devices is obtained, wherein the preset usage evaluation index framework includes an evaluation domain, an evaluation subdomain corresponding to the evaluation domain, and an evaluation element corresponding to the evaluation subdomain.

[0121] Based on the preset usage evaluation index framework, the corresponding usage evaluation data of medical equipment is obtained, and the usage evaluation data is obtained based on the actual usage data of medical equipment.

[0122] The comprehensive evaluation index of the medical device is determined based on the preset usage evaluation strategy and the usage evaluation data.

[0123] The evaluation result of the use of the medical equipment is determined based on the comprehensive evaluation index of the medical equipment.

[0124] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0125] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0126] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0127] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0128] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0129] Memory may include non-persistent storage in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.

[0130] Computer-readable media includes both permanent and non-permanent, removable and non-removable media that can store information using any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.

[0131] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0132] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0133] The above description is merely an embodiment of this application and is not intended to limit the scope of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of the claims of this application.

Claims

1. A method for evaluating the use of a medical device, wherein, The method includes: A preset usage evaluation index framework for medical devices is obtained, wherein the preset usage evaluation index framework includes an evaluation domain, an evaluation subdomain corresponding to the evaluation domain, and an evaluation element corresponding to the evaluation subdomain. Based on the preset usage evaluation index framework, the corresponding usage evaluation data of medical equipment is obtained, and the usage evaluation data is obtained based on the actual usage data of medical equipment. The comprehensive evaluation index of the medical device is determined based on the preset usage evaluation strategy and the usage evaluation data. The evaluation result of the use of the medical equipment is determined based on the comprehensive evaluation index of the medical equipment. The pre-defined evaluation index framework for the medical equipment is established from at least one of the following aspects: technical evaluation model, system reliability model, clinical application evaluation model, fault level model, functional evaluation model, dosage evaluation model, and health economics evaluation model. The preset usage evaluation index framework includes evaluation elements, the medical equipment includes multiple units, and the step of determining the comprehensive evaluation index of the medical equipment based on the preset usage evaluation strategy and the usage evaluation data includes: The usage evaluation data corresponding to the evaluation elements are preprocessed to obtain preprocessed usage evaluation data. The contribution of the evaluation elements is determined based on the preprocessed usage evaluation data. Based on the contribution of the evaluation elements, calculate the score of each medical device corresponding to the evaluation element among all medical devices; The comprehensive evaluation index of each medical device is determined based on its score among all medical devices. The step of determining the contribution of the evaluation elements based on the preprocessed usage evaluation data includes: Based on the preprocessed usage evaluation data, the contribution of the evaluation elements is determined in terms of the stability and independence of the preprocessed usage evaluation data.

2. The method as described in claim 1, wherein, The pre-defined evaluation index framework for acquiring medical equipment includes: Obtain a set of basic indicators for evaluating the use of medical equipment; Based on the set of basic indicators for evaluating the use of the medical equipment, the preset evaluation indicator framework is constructed.

3. The method as described in claim 1, wherein, The usage evaluation data includes first usage evaluation data and second usage evaluation data. The step of obtaining the corresponding medical device usage evaluation data based on the preset usage evaluation index framework includes: Based on the preset usage evaluation index framework, the actual usage data of the medical equipment is obtained using the data acquisition device of the medical equipment, and used as the first usage evaluation data. Based on the first usage evaluation data, the second usage evaluation data corresponding to the first usage evaluation data is obtained from each hospital information system.

4. The method as described in claim 1, wherein, The step of preprocessing the usage evaluation data corresponding to the evaluation elements to obtain preprocessed usage evaluation data includes: based on The criteria filter out abnormal data in the usage evaluation data corresponding to the evaluation elements to obtain filtered usage evaluation data. The filtered usage evaluation data is averaged to obtain the mean data corresponding to the evaluation elements; The mean data corresponding to the evaluation elements are constrained within a range to obtain the preprocessed usage evaluation data.

5. The method as described in claim 1, wherein, The step of determining the contribution of the evaluation elements based on the preprocessed usage evaluation data includes: Determine the standard deviation of the preprocessed evaluation data and the correlation coefficient between the evaluation elements and the medical devices; The contribution of each evaluation element is determined based on the standard deviation of the preprocessed evaluation data and the correlation coefficient between the evaluation element and the medical device.

6. The method of claim 1, wherein, The determination of the comprehensive evaluation index for each medical device based on its score among all medical devices includes: Based on the score of each medical device among all medical devices, determine the highest score and the lowest score of each medical device. Determine a first distance between the score of each medical device among all medical devices and the highest score of the medical device, and a second distance between the score of each medical device among all medical devices and the lowest score of the medical device; The comprehensive evaluation index of each medical device is determined based on the first distance and the second distance.

7. A device for evaluating the use of a medical device, wherein, The device includes: The first acquisition unit is used to acquire a preset usage evaluation index framework for medical devices. The preset usage evaluation index framework includes an evaluation domain, an evaluation subdomain corresponding to the evaluation domain, and an evaluation element corresponding to the evaluation subdomain. The second acquisition unit is used to acquire the corresponding medical device usage evaluation data based on the preset usage evaluation index framework. The usage evaluation data is obtained based on the actual usage data of the medical device. The first determining unit is used to determine the comprehensive evaluation index of the medical device based on a preset usage evaluation strategy and the usage evaluation data. The second determining unit is used to determine the usage evaluation result of the medical device based on the comprehensive evaluation index of the medical device. The pre-defined evaluation index framework for the medical equipment is established from at least one of the following aspects: technical evaluation model, system reliability model, clinical application evaluation model, fault level model, functional evaluation model, dosage evaluation model, and health economics evaluation model. The preset evaluation index framework includes evaluation elements, the medical equipment includes multiple units, and the first determining unit is specifically used for: The usage evaluation data corresponding to the evaluation elements are preprocessed to obtain preprocessed usage evaluation data. The contribution of the evaluation elements is determined based on the preprocessed usage evaluation data. Based on the contribution of the evaluation elements, calculate the score of each medical device corresponding to the evaluation element among all medical devices; The comprehensive evaluation index of each medical device is determined based on its score among all medical devices. The first determining unit is specifically used for: Based on the preprocessed usage evaluation data, the contribution of the evaluation elements is determined in terms of the stability and independence of the preprocessed usage evaluation data.

8. An electronic device, comprising: processor; as well as A memory configured to store computer-executable instructions, which, when executed, cause the processor to perform the method of any one of claims 1 to 6.

9. A computer-readable storage medium storing one or more programs, which, when executed by an electronic device including a plurality of applications, cause the electronic device to perform the method of any one of claims 1 to 6.

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