Complex medical system efficiency evaluation method and device, electronic equipment and medium

Abstract

The invention discloses a system efficiency evaluation method and device for a complex medical system, electronic equipment and a medium. The method comprises the steps that multi-dimensional data generated in the process that a complex medical system responds to an emergency treatment task is collected; performing data preprocessing on collected multi-dimensional data generated in the process that the complex medical system responds to the emergency treatment task to obtain target response data corresponding to the complex medical system; resolving the efficiency evaluation index of the complex medical system based on the target response data corresponding to the complex medical system to obtain a comprehensive efficiency value corresponding to the complex medical system; and performing system efficiency evaluation on the complex medical system based on the comprehensive efficiency value corresponding to the complex medical system to obtain a system efficiency evaluation result of the complex medical system. Therefore, the system efficiency of the complex medical system can be accurately, comprehensively and effectively evaluated by preprocessing the multi-source data and resolving the efficiency evaluation index of the complex medical system.

Description

Technical Field

[0001] This application relates to the field of medical information engineering, and in particular to a method, apparatus, electronic device and medium for evaluating the performance of complex medical systems. Background Technology

[0002] With the rapid development of medical diagnostic and treatment technologies, medical systems are becoming increasingly complex. The effectiveness of such complex systems in emergency response is a primary concern for engineers and medical professionals. System performance evaluation is a crucial step in improving the level of medical system assurance. It reflects the effectiveness of the medical system in completing its assigned tasks under specific or anticipated environmental conditions. This not only helps engineers understand the system's performance in complex environments but also provides important data for subsequent system design and use.

[0003] In the process of developing this application, the applicant discovered at least the following problems in the prior art:

[0004] In existing technologies, system performance evaluation is a hot research topic in the equipment field. Both domestic and international researchers have conducted active and in-depth studies in this area, achieving certain results in areas such as evaluation model establishment and evaluation methods. Various evaluation methods have been developed, such as system performance evaluation methods based on tree analysis, complex networks, and machine learning. However, traditional methods have limitations in data acquisition, processing, and analysis, failing to effectively integrate multi-source heterogeneous data, resulting in inaccurate and incomplete evaluation results. Summary of the Invention

[0005] This application provides a method, apparatus, electronic device, and medium for evaluating the system performance of complex medical systems. By preprocessing multi-source data and calculating the performance evaluation indicators of complex medical systems, the system performance of complex medical systems can be accurately and comprehensively evaluated.

[0006] In a first aspect, embodiments of this application provide a method for evaluating the effectiveness of a complex medical system, the method comprising:

[0007] By simulating emergency rescue missions, multi-dimensional data generated by complex medical systems in response to these missions are collected.

[0008] The multi-dimensional data generated during the process of the complex medical system responding to the emergency rescue task are preprocessed to obtain the target response data corresponding to the complex medical system.

[0009] Based on the target response data corresponding to the complex medical system, the performance evaluation index of the complex medical system is calculated to obtain the comprehensive performance value of the complex medical system.

[0010] The system effectiveness of the complex medical system is evaluated based on the comprehensive effectiveness value corresponding to the complex medical system, and the system effectiveness evaluation result of the complex medical system is obtained.

[0011] Secondly, embodiments of this application also provide a device for evaluating the effectiveness of complex medical systems, the device comprising:

[0012] The data acquisition module is used to collect multi-dimensional data generated by the complex medical system in response to the emergency rescue task by simulating the operation of the emergency rescue task.

[0013] The preprocessing module is used to preprocess the multi-dimensional data generated during the process of the complex medical system responding to the emergency rescue task to obtain the target response data corresponding to the complex medical system.

[0014] The calculation module is used to calculate the performance evaluation index of the complex medical system based on the target response data corresponding to the complex medical system, and obtain the comprehensive performance value corresponding to the complex medical system.

[0015] The evaluation module is used to evaluate the system effectiveness of the complex medical system based on the comprehensive effectiveness value corresponding to the complex medical system, and obtain the system effectiveness evaluation result of the complex medical system.

[0016] Thirdly, embodiments of this application provide an electronic device, including:

[0017] One or more processors;

[0018] Memory, used to store one or more programs.

[0019] When the one or more programs are executed by the one or more processors, the one or more processors implement the complex medical system performance evaluation method described in any embodiment of this application.

[0020] Fourthly, embodiments of this application provide a storage medium storing a computer program thereon, which, when executed by a processor, implements the method for evaluating the performance of complex medical systems as described in any embodiment of this application.

[0021] This application proposes a method, apparatus, electronic device, and medium for evaluating the system performance of complex medical systems. It involves simulating emergency rescue tasks to collect multi-dimensional data generated during the response of the complex medical system. The collected multi-dimensional data is preprocessed to obtain target response data for the complex medical system. Based on this target response data, the system performance evaluation indicators are calculated to obtain a comprehensive performance value. Finally, the system performance is evaluated based on this comprehensive performance value to obtain the final system performance evaluation result. In other words, this application's technical solution integrates multi-source heterogeneous data and characterizes the system performance of complex medical systems. In contrast, existing technologies have limitations in data acquisition, processing, and analysis, failing to effectively integrate multi-source heterogeneous data, resulting in inaccurate and incomplete evaluation results. Therefore, compared with the prior art, the method, device, electronic device and medium for evaluating the system performance of complex medical systems proposed in this application can improve data availability by preprocessing multi-source data and calculate the system performance evaluation indicators of complex medical systems, thereby accurately and comprehensively evaluating the system performance of complex medical systems. Furthermore, the technical solution of this application is simple and convenient to implement, easy to popularize, and has a wider range of applications. Attached Figure Description

[0022] Figure 1 A flowchart illustrating a method for evaluating the performance of a complex medical system according to an embodiment of this application;

[0023] Figure 2 A flowchart illustrating a method for evaluating the performance of complex medical systems, provided as another embodiment of this application;

[0024] Figure 3 A flowchart illustrating a method for evaluating the performance of complex medical systems, provided in yet another embodiment of this application;

[0025] Figure 4 A schematic diagram of the structure of a complex medical system performance evaluation device provided in an embodiment of this application;

[0026] Figure 5 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0027] The present application will now be described in further detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the application and not intended to limit its scope. Furthermore, it should be noted that, for ease of description, the accompanying drawings show only the parts relevant to the present application, not the entire structure.

[0028] Figure 1 This is a flowchart illustrating a method for evaluating the performance of a complex medical system according to an embodiment of this application. This method can be executed by a complex medical system performance evaluation device or electronic device, which can be implemented in software and / or hardware, and can be integrated into any smart device with network communication capabilities. Figure 1 As shown, the method for evaluating the effectiveness of complex medical systems may include the following steps:

[0029] S101. By simulating emergency rescue missions, collect multi-dimensional data generated during the response of complex medical systems to emergency rescue missions.

[0030] In this step, an emergency rescue mission is simulated to collect multi-dimensional data from a complex medical system. A complex medical system is an integrated system of various medical devices, including but not limited to defibrillators, ventilators, CPR pumps, fracture fixation devices, oxygen cylinders, multi-functional resuscitation beds, negative pressure suction devices, fully automated gastric lavage machines, micro-infusion pumps, and emergency equipment required for endotracheal intubation and tracheotomy. The emergency rescue mission includes, but is not limited to: bandaging and immobilization; hemostasis using clamps or bundle ligation; fluid resuscitation and blood transfusion; cardiopulmonary resuscitation; bandaging and closing open pneumothorax; puncturing the thorax or placing a one-way drainage tube for tension pneumothorax; closed drainage for hemopneumothorax; enlarging the cranial foramen for those with increased intracranial pressure; and administering antitoxins and anti-infective agents, along with tetanus toxoid and antitoxin serum, to patients with toxic agent injuries. Data collection methods include data recorded by the system's own data management subsystem, comments from medical staff, and records and comments from equipment maintenance or operation personnel.

[0031] Multidimensional data includes, but is not limited to: the types and quantities of medical equipment and spare parts; the status, quantity, nature, and classification of equipment hardware and software failures during rescue missions; the repair time and personnel availability when equipment fails; factors and events that may affect personnel or equipment safety during use, transportation, and maintenance due to equipment design, layout, and production; the internal and external field fault detection and isolation status of medical systems, electromechanical management subsystems, and mission systems; meteorological conditions, equipment status, and support equipment status during equipment shutdown, maintenance, and operation; and adaptive information or data regarding equipment layout, display and control interfaces, operation and control, alarm prompts, information interaction, and life support for various personnel operating and maintaining equipment and systems. Among these, data on the types and quantities of medical equipment and spare parts can be used to assess the supportability of complex medical systems. Data on the status, quantity, nature, and classification of equipment hardware and software failures can be used to assess the reliability of medical systems. Repair time and personnel availability when equipment fails can be used to assess the maintainability of medical systems. Factors and events that may affect personnel or equipment safety during use, transportation, and maintenance due to equipment design, layout, and manufacturing processes can be used to assess the safety of a medical system. Fault detection and isolation status of the medical system, electromechanical management subsystem, and task system in both internal and external environments can be used to assess the testability of the medical system. Weather conditions, equipment status, and support equipment status during equipment shutdown, maintenance, and operation can be used to assess the environmental adaptability of the medical system. Adaptability information or data regarding equipment layout, display and control interfaces, operation and control, alarm prompts, information interaction, and life support during the operation and maintenance of equipment and systems by various personnel can be used to assess the ergonomics of the medical system.

[0032] S102. Perform data preprocessing on the multi-dimensional data generated during the emergency rescue mission of the complex medical system to obtain the target response data corresponding to the complex medical system.

[0033] In this step, due to differences in the time, personnel, status, and method of medical data collection, the collected multi-dimensional data may contain missing or erroneous values. Therefore, preprocessing of the multi-dimensional data is necessary to ensure the accuracy, completeness, consistency, and reliability of the collected medical data. Data preprocessing includes, but is not limited to, data cleaning, data integration, and data reduction.

[0034] S103. Based on the target response data corresponding to the complex medical system, the performance evaluation index of the complex medical system is calculated to obtain the comprehensive performance value of the complex medical system.

[0035] In this step, mathematical models and algorithms can be used to conduct in-depth analysis of the target response data, extract key features, and combine them with the actual operation of the medical system to quantify various performance indicators, so as to calculate the comprehensive performance value corresponding to the complex medical system based on the various performance indicators.

[0036] S104. Based on the comprehensive performance value corresponding to the complex medical system, conduct a system performance evaluation of the complex medical system to obtain the system performance evaluation result of the complex medical system.

[0037] In this step, the overall performance value can comprehensively measure the performance of a complex medical system in actual operation. The system performance evaluation process can combine multiple factors such as the response speed, resource allocation capability, and treatment success rate of the complex medical system to ensure that the system performance evaluation results can truly reflect the overall performance of the complex medical system.

[0038] Preferably, the method provided in this application embodiment may further include: analyzing the system performance evaluation results of the complex medical system to generate optimization suggestion data and improvement measure data corresponding to the complex medical system; and generating a performance analysis report corresponding to the complex medical system based on the optimization suggestion data and improvement measure data corresponding to the complex medical system.

[0039] In this step, by recording various data during the use of the medical system, the scores of various indicators can be measured and calculated to obtain the overall system effectiveness and generate a system effectiveness evaluation report, i.e., an effectiveness analysis report, which provides improvement measures and suggestions for each indicator.

[0040] Improvement measures and suggestions include optimization recommendations addressing shortcomings in the system's inherent capabilities, system applicability, task adaptability, and level of intelligence. Specifically, improvement measures for deficiencies in inherent capabilities include, but are not limited to: technology upgrades, introducing high-precision equipment, and conducting technology verification; resource supplementation, optimizing personnel allocation, and establishing equipment maintenance cycles; standardized training, developing operation manuals, and conducting simulation exercises. Improvement measures for insufficient system applicability include, but are not limited to: developing standardized APIs (Application Programming Interfaces) to achieve data interoperability between multiple systems; adjusting the system for compliance to adapt to electronic medical record rating requirements. Improvement measures for insufficient task adaptability include, but are not limited to: adopting redundant design and fault prediction maintenance to improve system reliability; adopting a zero-trust architecture and implementing dynamic authentication to improve system security; and upgrading the system using OTA (Over-The-Air) technology to improve system security. Improvement measures for low levels of intelligence include, but are not limited to: technology embedding, deploying robots to handle repetitive tasks; establishing a collaborative learning platform to achieve collaborative training of data from multiple hospitals; continuous system optimization, and using edge computing to reduce response latency.

[0041] The method for evaluating the system effectiveness of complex medical systems proposed in this application involves simulating emergency rescue tasks to collect multi-dimensional data generated during the response of the complex medical system to these tasks. This data is then preprocessed to obtain target response data for the complex medical system. Based on this target response data, the system effectiveness evaluation indicators are calculated to obtain a comprehensive effectiveness value. Finally, the system effectiveness is evaluated based on this comprehensive effectiveness value to obtain the final system effectiveness evaluation result. In other words, the technical solution of this application can integrate multi-source heterogeneous data and characterize the system effectiveness of complex medical systems. In contrast, existing technologies have limitations in data acquisition, processing, and analysis, failing to effectively integrate multi-source heterogeneous data, resulting in inaccurate and incomplete evaluation results. Therefore, compared with the prior art, the system performance evaluation method for complex medical systems proposed in this application can improve data availability by preprocessing multi-source data and calculating the performance evaluation indicators of complex medical systems, thereby accurately and comprehensively evaluating the system performance of complex medical systems. Furthermore, the technical solution of this application is simple and convenient to implement, easy to popularize, and has a wider range of applications.

[0042] Figure 2This is a flowchart illustrating a method for evaluating the performance of complex medical systems, provided as another embodiment of this application. Further optimizations and extensions are possible based on the above technical solution, and it can be combined with the various optional implementation methods described above. For example... Figure 2 As shown, the method for evaluating the effectiveness of complex medical systems may include the following steps:

[0043] S201. Perform data cleaning operations on the multi-dimensional data generated during the process of responding to emergency treatment tasks in complex medical systems.

[0044] S202. Perform data integration operations on the multi-dimensional data after data cleaning.

[0045] S203. Perform data reduction operations on the integrated multi-dimensional data to obtain the target response data corresponding to the complex medical system.

[0046] In this step, data cleaning operations include: missing value deletion / impact, outlier detection, and outlier identification and removal. For example, missing values ​​in collected medical data are deleted or imputed; outliers are identified and removed; and duplicate, incomplete, and inconsistent data are detected and processed. Data integration operations include: merging data from different sources and identifying and handling data value conflicts. For example: two sets of temperature data, one recorded in Celsius (…). Another record is in Fahrenheit ( ), (This refers to data sets, such as two time-based datasets, one recorded in seconds and the other in minutes. When merging these datasets, statistical methods are required.) Data reduction operations include: removing useless and / or redundant data. This involves removing unnecessary data from the collected medical data, and removing redundant or very similar data.

[0047] The method for evaluating the performance of complex medical systems proposed in this application can effectively reduce human intervention, improve the response speed and task execution capability of complex medical systems, enhance the efficiency and accuracy of data processing, and provide reliable data support for subsequent performance evaluation.

[0048] Figure 3 This is a flowchart illustrating a method for evaluating the performance of complex medical systems, provided as another embodiment of this application. Further optimizations and extensions based on the above technical solution are possible, and it can be combined with the various optional implementation methods described above. For example... Figure 3 As shown, the method for evaluating the effectiveness of complex medical systems may include the following steps:

[0049] S301. Calculate the score corresponding to the first evaluation indicator based on the target response data, and determine the inherent capability score of the complex medical system based on the score and corresponding weight of the first evaluation indicator.

[0050] In this step, the inherent capability score of the complex medical system can be calculated according to the following formula (1):

[0051] ;

[0052] In formula (1), The score represents the inherent capabilities of a complex medical system. This indicates the weight of the third-level indicators (i.e., the first evaluation indicators). The first evaluation indicators include: triage ability, emergency care operation ability, surgical operation ability, and information technology ability. Indicates the number of the first evaluation indicators; This indicates the score for the first evaluation indicator.

[0053] S302. Calculate the score corresponding to the second evaluation indicator based on the target response data, and determine the system applicability score of the complex medical system based on the score and corresponding weight of the second evaluation indicator.

[0054] In this step, the system suitability score of the complex medical system can be calculated according to the following formula (2):

[0055] ;

[0056] In formula (2), This indicates the system suitability score for complex medical systems; This indicates the weight of the third-level indicators (i.e., the second evaluation indicators), which include: interoperability and collaborative operation capabilities. Indicates the number of the second evaluation indicators; This indicates the score for the second evaluation indicator.

[0057] S303. Calculate the score corresponding to the third evaluation indicator based on the target response data, and determine the task applicability score of the complex medical system based on the score and corresponding weight of the third evaluation indicator.

[0058] In this step, the task suitability score of the complex medical system can be calculated according to the following formula (3):

[0059] ;

[0060] In formula (3), This indicates the task suitability score for complex medical systems; This indicates the weight of the third-level indicators (i.e., the third evaluation indicators), which include: reliability, maintainability, testability, safety, supportability, environmental adaptability, and ergonomics. Indicates the number of third evaluation indicators; This indicates the score for the third evaluation indicator.

[0061] S304. Calculate the score corresponding to the fourth evaluation indicator based on the target response data, and determine the intelligent usage score of the complex medical system based on the score and corresponding weight of the fourth evaluation indicator.

[0062] In this step, the intelligent usage score of the complex medical system can be calculated according to the following formula (4):

[0063] ;

[0064] In formula (4), This indicates the score for the degree of intelligent use of complex medical systems; This indicates the weight of the third-level indicators (i.e., the fourth evaluation indicators). The fourth evaluation indicators include: operational simplification, operational flexibility, and multi-functionality. Indicates the number of the fourth evaluation indicator; This indicates the score for the fourth evaluation indicator.

[0065] It should be noted that the three-level indicators include quantitative and qualitative indicators. Quantitative indicators are measured and acquired during the rescue and treatment mission, while qualitative indicators are scored and evaluated by experts using a five-level system. As shown in Table 1, the evaluation levels of the indicators are divided into five levels: "Good," "Fairly Good," "Average," "Poor," and "Very Poor," with points awarded as follows: 9-10, 8-9, 6-8, 4-6, and 1-4, respectively. A "Good" evaluation level indicates that the medical system highly meets the user's needs, has good applicability, and is very satisfactory to medical staff. A "Fairly Good" evaluation level indicates that the medical system highly meets the user's needs, has good applicability, and is fairly satisfactory to medical staff. A "Fairly Good" evaluation level indicates that the medical system meets the user's needs, has average adaptability, and medical staff have higher expectations for the equipment. A "Poor" evaluation level indicates that the medical system meets the user's needs, has poor adaptability, and the system has certain defects. A "Very Poor" evaluation level indicates that the medical system partially fails to meet the user's needs, has poor applicability, and has obvious defects.

[0066]

[0067] S305. Based on the inherent capability score, system applicability score, task applicability score, and intelligent usability score of the complex medical system, determine the comprehensive effectiveness value corresponding to the complex medical system.

[0068] In this step, the overall efficiency value corresponding to the complex medical system can be calculated according to the following formula (5):

[0069] ;

[0070] In formula (5), This represents the overall performance value corresponding to a complex medical system; The weights of the secondary indicators (i.e., the first, second, third, and fourth evaluation indicators) can be determined by experts through discussion based on the actual situation of the complex medical system. Indicates the number of secondary indicators; This indicates the score for the secondary indicator.

[0071] Preferably, the comprehensive effectiveness value of the complex medical system is determined based on its inherent capability score, system suitability score, task suitability score, and intelligent usability score. This can include: determining weighting coefficients for the inherent capability score, system suitability score, task suitability score, and intelligent usability score based on the importance of the first, second, third, and fourth evaluation indicators relative to the effectiveness assessment of the complex medical system, respectively; and then, based on these weighting coefficients, summing the inherent capability score, system suitability score, task suitability score, and intelligent usability score to obtain the comprehensive effectiveness value of the complex medical system.

[0072] In this step, expert discussions can be organized to further clarify the weighting principles for each evaluation indicator. The expert team can quantify the importance of the first, second, third, and fourth evaluation indicators based on the actual application scenarios, technical characteristics, and operational needs of the complex medical system, thereby determining the weighting coefficient for each indicator. After setting the weighting coefficients, the inherent capability score, system applicability score, task applicability score, and intelligent usability score are multiplied by their respective weighting coefficients, and the results are summed to obtain the final comprehensive performance value. This ensures the accuracy of the data and the rigor of the calculations, guaranteeing the scientific validity and reliability of the evaluation results.

[0073] Preferably, the embodiments of this application may further include: determining the operational objectives of a complex medical system based on the emergency rescue mission; and determining a first evaluation indicator and its corresponding weight, a second evaluation indicator and its corresponding weight, a third evaluation indicator and its corresponding weight, and a fourth evaluation indicator and its corresponding weight based on the operational objectives of the complex medical system.

[0074] In this step, complex medical systems need to complete emergency treatment tasks quickly, efficiently, and with high quality. Besides having comprehensive functionality, the system should be adaptable to different treatment tasks and environments. When collaborating with other systems, they should be compatible and work together effectively. Furthermore, the system should possess a certain level of intelligence to improve treatment efficiency.

[0075] Preferably, the first evaluation indicator is used to describe the triage, emergency care, surgical and information technology capabilities of a complex medical system; the second evaluation indicator is used to describe the interoperability and collaborative operation capabilities of a complex medical system; the third evaluation indicator is used to describe the reliability, maintainability, testability, safety, supportability, environmental adaptability and ergonomics of a complex medical system; and the fourth evaluation indicator is used to describe the operational simplification, operational flexibility and multifunctionality of a complex medical system.

[0076] In this step, the complex medical system possesses relatively complete functions and performance, which is reflected using inherent system capability indicators. These inherent capabilities include, but are not limited to, triage, emergency care, and surgical capabilities. The complex medical system should adapt to different treatment tasks and environments, reflected using task adaptability indicators, which include reliability, maintainability, testability, safety, supportability, environmental adaptability, and ergonomics. Complex medical systems should be compatible and collaborative, reflected using system adaptability indicators, which include interoperability and collaborative operation capabilities. The complex medical system should possess a certain level of intelligence, reflected using intelligence usability indicators, which include operational simplification, operational flexibility, and multifunctionality.

[0077] The embodiments of this application can use a tree structure to characterize the system performance of complex medical systems from four aspects: system applicability, task applicability, inherent capabilities, and level of intelligence. This makes the performance evaluation system for complex medical systems systematic, comprehensive, and operable. Furthermore, the performance evaluation system for complex medical systems proposes multiple basic evaluation indicators, which can effectively improve the informatization and intelligence capabilities of the evaluation system.

[0078] The method for evaluating the performance of complex medical systems proposed in this application, by comprehensively considering the performance of the medical system across different dimensions, can more accurately reflect its overall performance level. This not only helps to identify the system's strengths and weaknesses in specific task environments but also provides a scientific basis for subsequent optimization and improvement. Furthermore, through quantitative analysis of various scores, dynamic monitoring and evaluation of complex medical systems can be achieved, ensuring that they maintain efficient and stable operation in practical applications, further promoting the development of medical system evaluation towards refinement and intelligence.

[0079] In summary, this application's embodiments, based on the usage characteristics and complex environments of complex medical systems, refine the overall system performance objective of a complex medical system from top to bottom into basic indicators through a tree-structure analysis. It deeply analyzes the influencing factors of system performance indicators, characterizing the system performance of complex medical systems from four aspects: system applicability, task applicability, inherent capabilities, and level of intelligence. Multiple basic parameter indicators are used to reflect these four aspects of capability, and evaluation models and principles for each parameter indicator are provided. Through the selection of specific indicators and the design of the overall framework of the indicator system, a system performance evaluation indicator system for complex medical systems is constructed, addressing the current problem of a lack of both evaluation indicator systems and scientific evaluation methods for complex medical systems. The method provided in this application's embodiments is applicable to various complex medical systems and can provide methods and ideas for reliability, functional performance, and task performance evaluation experiments of complex medical systems.

[0080] Figure 4 This is a schematic diagram of the structure of a complex medical system performance evaluation device provided in an embodiment of this application. Figure 4 As shown, the complex medical system performance evaluation device includes: a data acquisition module 401, a preprocessing module 402, a calculation module 403, and an evaluation module 404; wherein,

[0081] The data acquisition module 401 is used to collect multi-dimensional data generated by the complex medical system in the process of responding to emergency rescue tasks by simulating emergency rescue operations.

[0082] The preprocessing module 402 is used to preprocess the multi-dimensional data generated during the process of collecting complex medical system response emergency rescue tasks to obtain the target response data corresponding to the complex medical system.

[0083] The calculation module 403 is used to calculate the performance evaluation index of the complex medical system based on the target response data corresponding to the complex medical system, and obtain the comprehensive performance value of the complex medical system.

[0084] Evaluation module 404 is used to evaluate the system effectiveness of a complex medical system based on the comprehensive effectiveness value corresponding to the complex medical system, and obtain the system effectiveness evaluation result of the complex medical system.

[0085] The aforementioned complex medical system performance evaluation device can execute the methods provided in any embodiment of this application, and possesses the corresponding functional modules and beneficial effects for executing the methods. Technical details not described in detail in this embodiment can be found in the complex medical system performance evaluation methods provided in any embodiment of this application.

[0086] Figure 5 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Figure 5A block diagram of an exemplary electronic device suitable for implementing embodiments of the present application is shown. Figure 5 The electronic device 12 shown is merely an example and should not impose any limitations on the functionality and scope of use of the embodiments of this application.

[0087] like Figure 5 As shown, the electronic device 12 is represented in the form of a general-purpose computing device. The components of the electronic device 12 may include, but are not limited to: one or more processors or processing units 16, system memory 28, and bus 18 connecting different system components (including system memory 28 and processing unit 16).

[0088] Bus 18 represents one or more of several bus architectures, including a memory bus or memory controller, a peripheral bus, a graphics acceleration port, a processor, or a local bus using any of the various bus architectures. For example, these architectures include, but are not limited to, the Industry Standard Architecture (ISA) bus, the Micro Channel Architecture (MAC) bus, the Enhanced ISA bus, the Video Electronics Standards Association (VESA) local bus, and the Peripheral Component Interconnect (PCI) bus.

[0089] Electronic device 12 typically includes a variety of computer system readable media. These media can be any available media that can be accessed by electronic device 12, including volatile and non-volatile media, removable and non-removable media.

[0090] System memory 28 may include computer system readable media in the form of volatile memory, such as random access memory (RAM) 30 and / or cache memory 32. Electronic device 12 may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, storage system 34 may be used to read and write non-removable, non-volatile magnetic media (… Figure 5 Not shown; usually referred to as a "hard drive"). Although Figure 5 As not shown, a disk drive for reading and writing to a removable non-volatile disk (e.g., a "floppy disk") and an optical disk drive for reading and writing to a removable non-volatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to bus 18 via one or more data media interfaces. Memory 28 may include at least one program product having a set (e.g., at least one) of program modules configured to perform the functions of the embodiments of this application.

[0091] A program / utility 40 having a set (at least one) of program modules 42 may be stored, for example, in memory 28. Such program modules 42 include, but are not limited to, an operating system, one or more application programs, other program modules, and program data. Each or some combination of these examples may include an implementation of a network environment. Program modules 42 typically perform the functions and / or methods described in the embodiments of this application.

[0092] Electronic device 12 can also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), and with one or more devices that enable a user to interact with electronic device 12, and / or with any device that enables electronic device 12 to communicate with one or more other computing devices (e.g., network card, modem, etc.). This communication can be performed via input / output (I / O) interface 22. Furthermore, electronic device 12 can also communicate with one or more networks (e.g., local area network (LAN), wide area network (WAN), and / or public networks, such as the Internet) via network adapter 20. As shown, network adapter 20 communicates with other modules of electronic device 12 via bus 18. It should be understood that, although... Figure 5 As not shown, other hardware and / or software modules may be used in conjunction with electronic device 12, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0093] The processing unit 16 executes various functional applications and data processing by running programs stored in the system memory 28, such as implementing the complex medical system performance evaluation method provided in the embodiments of this application.

[0094] This application also provides a computer storage medium.

[0095] The computer-readable storage medium of this application embodiment can be any combination of one or more computer-readable media. The computer-readable medium can be a computer-readable signal medium or a computer-readable storage medium. For example, a computer-readable storage medium can be—but is not limited to—an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of computer-readable storage media (a non-exhaustive list) include: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this document, a computer-readable storage medium can be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0096] Computer-readable signal media may include data signals propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such propagated data signals may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. Computer-readable signal media may also be any computer-readable medium other than computer-readable storage media, capable of sending, propagating, or transmitting programs for use by or in connection with an instruction execution system, apparatus, or device.

[0097] Program code contained on a computer-readable medium may be transmitted using any suitable medium, including—but not limited to—wireless, wire, optical fiber, RF, etc., or any suitable combination thereof.

[0098] Computer program code for performing the operations of this application can be written in one or more programming languages ​​or a combination thereof. Programming languages ​​include object-oriented programming languages—such as Java, Smalltalk, and C++—as well as conventional procedural programming languages—such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0099] This application also provides a computer program product.

[0100] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer program products, which may include one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be an application-specific or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0101] Note that the above description is merely a preferred embodiment and the technical principles employed in this application. Those skilled in the art will understand that this application is not limited to the specific embodiments described herein, and various obvious changes, readjustments, and substitutions can be made without departing from the scope of protection of this application. Therefore, although this application has been described in detail through the above embodiments, this application is not limited to the above embodiments. Many other equivalent embodiments may be included without departing from the concept of this application, and the scope of this application is determined by the scope of the appended claims.

Claims

1. A method for evaluating the effectiveness of complex medical systems, characterized in that, The method includes: By simulating emergency rescue missions, multi-dimensional data generated by complex medical systems in response to these missions are collected. The multi-dimensional data generated during the process of the complex medical system responding to the emergency rescue task are preprocessed to obtain the target response data corresponding to the complex medical system. Based on the target response data corresponding to the complex medical system, the performance evaluation index of the complex medical system is calculated to obtain the comprehensive performance value of the complex medical system. The system effectiveness of the complex medical system is evaluated based on the comprehensive effectiveness value corresponding to the complex medical system, and the system effectiveness evaluation result of the complex medical system is obtained.

2. The method according to claim 1, characterized in that, The process of preprocessing the multi-dimensional data generated during the emergency response of the complex medical system to obtain the target response data corresponding to the complex medical system includes: The data cleaning operation is performed on the multi-dimensional data generated during the process of the complex medical system responding to the emergency treatment task. The data cleaning operation includes: missing value deletion / completion, abnormal data detection, and outlier identification and removal. Perform data integration operations on the cleaned multi-dimensional data; the data integration operations include: merging data from different sources and identifying and handling data value conflicts. A data reduction operation is performed on the integrated multi-dimensional data to obtain the target response data corresponding to the complex medical system; the data reduction operation includes: removal of useless data and / or redundant data.

3. The method according to claim 1, characterized in that, The process of calculating the performance evaluation index of the complex medical system based on the target response data corresponding to the complex medical system to obtain the comprehensive performance value of the complex medical system includes: The score corresponding to the first evaluation indicator is calculated based on the target response data, and the inherent capability score of the complex medical system is determined based on the score and corresponding weight of the first evaluation indicator. The score corresponding to the second evaluation indicator is calculated based on the target response data, and the system applicability score of the complex medical system is determined based on the score and corresponding weight of the second evaluation indicator. The score corresponding to the third evaluation indicator is calculated based on the target response data, and the task applicability score of the complex medical system is determined based on the score and corresponding weight of the third evaluation indicator. The score corresponding to the fourth evaluation indicator is calculated based on the target response data, and the intelligent usability score of the complex medical system is determined based on the score and corresponding weight of the fourth evaluation indicator. Based on the inherent capability score, system applicability score, task applicability score, and intelligent usability score of the complex medical system, the comprehensive efficiency value corresponding to the complex medical system is determined.

4. The method according to claim 3, characterized in that, The determination of the comprehensive effectiveness value of the complex medical system based on its inherent capability score, system suitability score, task suitability score, and intelligent usability score includes: Based on the importance of the first evaluation index, the second evaluation index, the third evaluation index, and the fourth evaluation index relative to the effectiveness evaluation of the complex medical system, the weighting coefficients corresponding to the inherent capability score, the system applicability score, the task applicability score, and the intelligent usability score are determined respectively. Based on the weighted coefficients corresponding to the inherent capability score, the system applicability score, the task applicability score, and the intelligent usability score, the inherent capability score, the system applicability score, the task applicability score, and the intelligent usability score are weighted and summed to obtain the comprehensive efficiency value corresponding to the complex medical system.

5. The method according to claim 4, characterized in that, The first evaluation index is used to describe the triage, emergency care, surgical, and information technology capabilities of the complex medical system; the second evaluation index is used to describe the interconnectivity and collaborative operation capabilities of the complex medical system; the third evaluation index is used to describe the reliability, maintainability, testability, safety, supportability, environmental adaptability, and ergonomics of the complex medical system; and the fourth evaluation index is used to describe the operational simplification, operational flexibility, and multifunctionality of the complex medical system.

6. The method according to claim 1, characterized in that, The method further includes: The system effectiveness evaluation results of the complex medical system are analyzed to generate optimization suggestion data and improvement measure data corresponding to the complex medical system; Based on the optimization suggestions and improvement measures data corresponding to the complex medical system, an effectiveness analysis report corresponding to the complex medical system is generated.

7. The method according to claim 3, characterized in that, The method further includes: The operational objectives of the complex medical system are determined based on the aforementioned emergency treatment mission; Based on the operational objectives of the complex medical system, the first evaluation indicator and its corresponding weight, the second evaluation indicator and its corresponding weight, the third evaluation indicator and its corresponding weight, and the fourth evaluation indicator and its corresponding weight are determined.

8. A device for evaluating the effectiveness of complex medical systems, characterized in that, The device includes: The data acquisition module is used to collect multi-dimensional data generated by the complex medical system in response to the emergency rescue task by simulating the operation of the emergency rescue task. The preprocessing module is used to preprocess the multi-dimensional data generated during the process of the complex medical system responding to the emergency rescue task to obtain the target response data corresponding to the complex medical system. The calculation module is used to calculate the performance evaluation index of the complex medical system based on the target response data corresponding to the complex medical system, and obtain the comprehensive performance value corresponding to the complex medical system. The evaluation module is used to evaluate the system effectiveness of the complex medical system based on the comprehensive effectiveness value corresponding to the complex medical system, and obtain the system effectiveness evaluation result of the complex medical system.

9. An electronic device, characterized in that, include: One or more processors; Memory, used to store one or more programs. When the one or more programs are executed by the one or more processors, the one or more processors implement the complex medical system system performance evaluation method as described in any one of claims 1 to 7.

10. A storage medium having a computer program stored thereon, characterized in that, When executed by the processor, the program implements the method for evaluating the performance of complex medical systems as described in any one of claims 1 to 7.

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