Intelligent question-answering system and method for medical equipment management, terminal, medium and product

Abstract

The invention provides an intelligent question answering system and method for medical equipment management, a terminal, a medium and a product. The system comprises an acquisition module used for acquiring to-be-answered question information related to medical equipment management; the intention recognition module is connected with the acquisition module and is used for performing intention recognition on the question information to obtain an intention category of the question information; and the intelligent answer module is constructed based on a multi-level answer strategy, is connected with the acquisition module and the intention recognition module, and is used for generating corresponding answer information according to the question information and the intention category thereof. Through the intelligent answering module, the answer information corresponding to the to-be-answered question information related to medical equipment management can be provided in time, so that the efficiency of medical equipment management is improved.

Description

Technical Field

[0001] The present application relates to the technical field of equipment management, and in particular to an intelligent question-answering system, method, terminal, medium and product for medical equipment management. Background Art

[0002] With the increasing number of various types of medical equipment, hospital equipment fault management is also facing greater challenges. In order to improve the efficiency of fault diagnosis and maintenance, artificial intelligence models, databases and other technologies are usually integrated to establish an intelligent and automated equipment fault management system to ensure that equipment failures can be handled quickly and accurately. However, the equipment management in existing technologies can only determine that the equipment has failed, but cannot provide a solution to the failure in a timely manner. Summary of the invention

[0003] In view of the shortcomings of the prior art described above, the purpose of the present application is to provide an intelligent question-and-answer system, method, terminal, medium and product for medical equipment management, which is used to solve the problem that equipment management in the prior art can only determine that the equipment has a fault but cannot provide a solution to the fault in a timely manner.

[0004] To achieve the above-mentioned purpose and other related purposes, the first aspect of the present application provides an intelligent question and answer system for medical device management, including: an acquisition module, used to obtain question information related to medical device management to be answered; an intention recognition module, connected to the acquisition module, used to perform intent recognition on the question information and obtain the intention category of the question information; an intelligent answer module constructed based on a multi-level answer strategy, respectively connected to the acquisition module and the intention recognition module, for generating corresponding answer information according to the question information and its intention category.

[0005] In some embodiments of the first aspect of the present application, historical equipment management information, a medical equipment management knowledge base, and an AI big model are deployed in the intelligent answer module.

[0006] In some embodiments of the first aspect of the present application, the intelligent answer module includes: a first-level search sub-module, used to search in the historical medical device management information according to the question information and its intent category, to obtain historical search result information, and if the historical search result information meets the requirements, output the historical search result information as answer information; wherein the format of the historical search result information that meets the requirements conforms to the answer format corresponding to the intent category.

[0007] In some embodiments of the first aspect of the present application, the intelligent answer module also includes: a second-level search sub-module, which is used to search the medical device management knowledge base based on the question information and its intent category to obtain knowledge base search result information when the historical search result information does not meet the requirements, and output the knowledge base search result information as answer information when the knowledge base search result information meets the requirements; wherein the format of the knowledge base search result information that meets the requirements conforms to the answer format corresponding to the intent category.

[0008] In some embodiments of the first aspect of the present application, the intelligent answer module also includes: an AI big model sub-module, which is used to use the AI ​​big model to obtain an AI answer generation result based on the question information and the answer format corresponding to the intent category when the knowledge base search result information does not meet the requirements, and output the AI ​​answer generation result as answer information.

[0009] In some embodiments of the first aspect of the present application, the system also includes: a recording module, used to record historical question and answer information, and update the verified question and answer information to the historical medical device management information; wherein the historical question and answer information includes historical question information and corresponding answer information.

[0010] To achieve the above-mentioned purpose and other related purposes, the second aspect of the present application provides an intelligent question and answer method for medical device management, including: obtaining question information related to medical device management to be answered; performing intent recognition on the question information to obtain the intent category of the question information; based on a multi-level answer strategy, constructing an intelligent answer module to generate corresponding answer information according to the question information and its intent category.

[0011] To achieve the above-mentioned purpose and other related purposes, the third aspect of the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the intelligent question-and-answer method for medical device management.

[0012] To achieve the above-mentioned purpose and other related purposes, the fourth aspect of the present application provides a computer program product, which includes a computer program code. When the computer program code runs on a computer, the computer implements the intelligent question and answer method for medical device management.

[0013] To achieve the above-mentioned purpose and other related purposes, the fifth aspect of the present application provides an electronic terminal, including a memory, a processor and a computer program stored in the memory; the processor executes the computer program to implement the intelligent question and answer method for medical device management.

[0014] As described above, the intelligent question-answering system, method, terminal, medium and product for medical device management of the present application have the following beneficial effects:

[0015] Through the intelligent answer module, the present application can promptly provide answer information corresponding to the question information related to medical equipment management to be answered, thereby improving the efficiency of medical equipment management. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 Shown is a schematic block diagram of an intelligent question-and-answer system for medical device management in one embodiment of the present application.

[0017] Figure 2 Shown is a schematic diagram of the intelligent question-answering process in one embodiment of the present application.

[0018] Figure 3 Shown is a flow chart of an intelligent question-and-answer method for medical device management in one embodiment of the present application.

[0019] Figure 4 Shown is a schematic diagram of the structure of an electronic terminal in one embodiment of the present application. DETAILED DESCRIPTION

[0020] The following describes the embodiments of the present application through specific examples, and those skilled in the art can easily understand other advantages and effects of the present application from the contents disclosed in this specification. The present application can also be implemented or applied through other different specific embodiments, and the details in this specification can also be modified or changed in various ways based on different viewpoints and applications without departing from the spirit of the present application. It should be noted that the following embodiments and features in the embodiments can be combined with each other without conflict.

[0021] In the embodiments of the present application, words such as "first" and "second" are used to distinguish the same or similar items with substantially the same functions and effects. Those skilled in the art can understand that words such as "first" and "second" do not limit the quantity and execution order, and words such as "first" and "second" do not necessarily limit the difference.

[0022] It should be noted that in the embodiments of the present application, words such as "exemplary" or "for example" represent examples, illustrations or descriptions. Any embodiment or design described as "exemplary" or "for example" in the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary" or "for example" is intended to present related concepts in a specific way.

[0023] In the embodiments of the present application, "at least one" refers to one or more, and "plurality" refers to two or more. "And / or" describes the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone, where A and B can be singular or plural. The character " / " generally indicates that the previous and next associated objects are in an "or" relationship. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, at least one of a, b or c can represent: a, b, c, ab, ac, bc or abc, where a, b, c can be single or multiple.

[0024] To facilitate understanding of the embodiments of the present application, first Figure 1 Detailed description. Figure 1 A schematic block diagram of an intelligent question-answering system for medical device management in an embodiment of the present invention is shown. The intelligent question-answering system for medical device management in this embodiment includes:

[0025] An acquisition module 11 is used to acquire question information related to medical device management to be answered;

[0026] An intention recognition module 12, connected to the acquisition module 11, is used to perform intention recognition on the question information and obtain the intention category of the question information;

[0027] The intelligent answer module 13 constructed based on the multi-level answer strategy is connected to the acquisition module 11 and the intention recognition module 12 respectively, and is used to generate corresponding answer information according to the question information and its intention category.

[0028] It should be understood that the division of modules in the embodiments of the present application is schematic and is only a logical function division. There may be other division methods in actual implementation. In addition, each functional module in each embodiment of the present application may be integrated into a processor, or may exist physically separately, or two or more modules may be integrated into one module. The above-mentioned integrated modules may be implemented in the form of hardware or in the form of software functional modules.

[0029] In one embodiment, medical equipment management includes but is not limited to equipment fault management, maintenance, quality control, measurement, operation, etc.

[0030] In one embodiment, if Figure 2 As shown, historical equipment management information, medical equipment management knowledge base and AI big model are deployed in the intelligent answer module 13.

[0031] Specifically, the medical equipment management system synchronizes management records, cleans and optimizes them to ensure the accuracy and clarity of the data, making them more suitable as data support for the intelligent answering module, thereby improving the accuracy and efficiency of the questions and answers. The cleaned and optimized management records are used as historical equipment management information.

[0032] Furthermore, key operating procedures and experience extractions are extracted from the management documents related to medical devices to create a knowledge slice of device management, and the knowledge slice of device management is used as part of the medical device management knowledge base to provide data support for the intelligent answer module.

[0033] In one embodiment, cleaning and optimization include but are not limited to language standardization, language description improvement, redundancy removal, etc.

[0034] In one embodiment, the intent categories include, but are not limited to, equipment fault management categories, maintenance categories, quality control categories, measurement categories, operation categories, and the like.

[0035] In one embodiment, a multi-intent classification model is used to identify the intent of the question information and obtain the intent category of the question information. Specifically, text data containing multiple intents is collected and annotated to form a training data set; the training data set is preprocessed, and the preprocessed data set is input into a pre-selected pre-training model suitable for natural language processing tasks (such as ERNIE) for training to obtain a multi-intent classification model. Preprocessing includes but is not limited to word segmentation, part-of-speech tagging, and removal of stop words.

[0036] In one embodiment, the question information to be answered includes one or more intent categories; when the question information to be answered includes multiple intents, the system obtains the final answer information through multiple rounds of dialogue interaction.

[0037] In one embodiment, for question information whose intent category is not identified (fuzzy intent), the intelligent question-answering system may conduct at least one round of dialogue interaction with the questioning user by asking guiding questions to determine the intent category of the question information.

[0038] In a preferred embodiment, an isotropic regularization method is used in supervised pre-training to improve the semantic representation of intent recognition in a multi-intent classification model, and to improve the performance of the model in the few-shot intent detection task by increasing the isotropy of the model feature space.

[0039] In one embodiment, the intelligent answer module includes: a first-level search submodule, used to search in the historical medical device management information according to the question information and its intent category, obtain historical search result information, and output the historical search result information as answer information if the historical search result information meets the requirements; wherein the format of the historical search result information that meets the requirements conforms to the answer format corresponding to the intent category.

[0040] In one embodiment, the intelligent answer module also includes: a second-level search sub-module, which is used to search the medical device management knowledge base according to the question information and its intent category to obtain knowledge base search result information when the historical search result information does not meet the requirements, and output the knowledge base search result information as answer information when the knowledge base search result information meets the requirements; wherein the format of the knowledge base search result information that meets the requirements conforms to the answer format corresponding to the intent category.

[0041] In one embodiment, the intelligent answer module also includes: an AI big model sub-module, which is used to use the AI ​​big model to obtain an AI answer generation result based on the question information and the answer format corresponding to the intent category when the knowledge base search result information does not meet the requirements, and output the AI ​​answer generation result as answer information.

[0042] It should be noted that AI big models refer to artificial intelligence models with a large number of parameters and complex structures. AI big models are usually based on deep learning technology, which learns and extracts complex patterns and rules from large-scale data, thereby demonstrating excellent performance in various tasks.

[0043] Specifically, the intelligent question-answering system pre-sets the answer format corresponding to each intent category. For example, the answer format for the intent category of maintenance is problem description, possible causes, inspection steps, solutions, preventive measures, and precautions.

[0044] First, the question information and the intent category of the question information are input into the first-level search submodule, and the first-level search submodule uses document intelligence technology and retrieval enhancement generation (RAG) technology to search in the historical medical equipment management information according to the keywords in the question information to obtain the first-level search results, and uses the existing format conversion algorithm to output the first-level search results in the format corresponding to the intent category of the question information to obtain the historical search result information. When the first-level search result is not zero, the historical search result information is not zero, and the historical search result information is output as answer information. When the first-level search result is zero (i.e., no answer is retrieved), the historical search result information is not zero, then it is judged that the historical search result information does not meet the requirements.

[0045] In the case where the historical search result information does not meet the requirements, the question information and the intent category of the question information will be input into the second-level search submodule, and the second-level search submodule uses document intelligence technology and retrieval enhancement generation (RAG) technology to search in the medical device management knowledge base according to the keywords of the question information to obtain the second-level search results, and uses the existing format conversion algorithm to output the second-level search results in the format corresponding to the intent category of the question information to obtain the knowledge base search result information. When the second-level search result is not zero, the knowledge base search result information is also not zero, and the knowledge base search result information is output as answer information. When the second-level search result is zero (i.e., no answer is retrieved), the knowledge base search result information is also zero, and it is determined that the knowledge base search result information does not meet the requirements.

[0046] If the search result information of the knowledge base does not meet the requirements, the question information and the intent category of the question information will be input into the AI ​​big model, and the AI ​​big model will use network retrieval technology and semantic segmentation technology to generate AI answer generation results, and output the AI ​​answer generation results as answer information. Among them, the AI ​​answer generation results conform to the answer format corresponding to the intent category.

[0047] It should be noted that the intelligent answer module can accurately match the management records and equipment management knowledge slices related to the question information, so as to quickly extract and output targeted management suggestions. If there is answer information corresponding to the question information in the historical medical equipment management information or the medical equipment management knowledge base, the intelligent answer module will directly quote and present it. If there is no answer information, it will rely on the powerful reasoning and learning ability of the AI ​​big model to automatically analyze and generate standardized and normalized answer information corresponding to the question information, thereby improving the efficiency of equipment management work. This answer strategy of the intelligent answer module is a multi-level answer strategy.

[0048] In one embodiment, the first-level search submodule or the second-level search submodule can also use a hybrid or multi-strategy algorithm to search, such as a combination of a genetic algorithm and a simulated annealing algorithm (GA-SA), or a fusion of a particle swarm optimization and an ant colony algorithm (PSO-ACO), to combine the advantages of different algorithms to address specific problems.

[0049] In one embodiment, the first-level search submodule or the second-level search submodule can also use a genetic algorithm or a particle swarm optimization algorithm to search. Preferably, new search strategies, mutation operators, crossover operators, etc. are introduced into the above algorithms to enhance the exploration and utilization capabilities of the algorithms. For example, adaptive crossover probability and mutation probability are introduced into the genetic algorithm, or a more efficient guidance mechanism is designed in the particle swarm optimization.

[0050] In a preferred embodiment, a dynamic adjustment strategy for algorithm parameters is designed so that they can be automatically adjusted according to performance feedback during the optimization process, such as learning rate, population size, etc. The adaptive mechanism can improve the adaptability and efficiency of the algorithm for different problems.

[0051] In a preferred embodiment, the generated answer information is AI optimized to obtain more accurate answer information.

[0052] In one embodiment, the intelligent question and answer system for medical equipment management also includes: a recording module, which is used to record historical question and answer information and update the verified question and answer information to the medical equipment management knowledge base; wherein the historical question and answer information includes historical question information and corresponding answer information.

[0053] Specifically, the recording module records each historical question information, the question-answering interactive process of the historical question information, and the answer information of the historical question information. Then the historical question-answering information is evaluated, and the question-answering information that can effectively solve the problem is screened out, and the screened question-answering information is updated to the historical medical equipment management information, so as to continuously expand and deepen the knowledge reserve of the system and improve the professionalism and accuracy of the system.

[0054] In one embodiment, if Figure 2 As shown, after inputting a question information into the intelligent answer module, if the AI-optimized answer obtained is judged to be incorrect, the corresponding correct answer information will be updated to the historical medical equipment management information to improve the accuracy of the intelligent answer module's answer.

[0055] Figure 3 is a flow chart of an intelligent question-answering method for medical device management provided in an embodiment of the present application. Figure 3 As shown, the intelligent question-answering method for medical device management includes:

[0056] Step S31: Obtaining the question information related to medical device management to be answered.

[0057] Step S32: performing intent recognition on the question information to obtain the intent category of the question information.

[0058] Step S33: Based on the multi-level answering strategy, an intelligent answering module is constructed to generate corresponding answer information according to the question information and its intention category.

[0059] It should be understood that the specific implementation process of each step of this embodiment has been described in detail in the above system embodiment, and for the sake of brevity, it will not be repeated here.

[0060] In one embodiment, the intelligent answer module is deployed with historical equipment management information, a medical equipment management knowledge base, and an AI big model.

[0061] In one embodiment, the intelligent answer module includes: a first-level search submodule, used to search in the historical medical device management information according to the question information and its intent category, obtain historical search result information, and output the historical search result information as answer information if the historical search result information meets the requirements; wherein the format of the historical search result information that meets the requirements conforms to the answer format corresponding to the intent category.

[0062] In one embodiment, the multi-level intelligent answer generation module also includes: a second-level search sub-module, which is used to search the medical device management knowledge base according to the question information and its intent category to obtain knowledge base search result information when the historical search result information does not meet the requirements, and output the knowledge base search result information as answer information when the knowledge base search result information meets the requirements; wherein the format of the knowledge base search result information that meets the requirements conforms to the answer format corresponding to the intent category.

[0063] In one embodiment, the multi-level intelligent answer generation module also includes: an AI big model sub-module, which is used to use the AI ​​big model to obtain AI answer generation results based on the question information and the answer format corresponding to the intent category when the knowledge base search result information does not meet the requirements, and output the AI ​​answer generation results as answer information.

[0064] In one embodiment, the method further includes recording historical question and answer information, and updating the verified question and answer information into the historical medical device management information; wherein the historical question and answer information includes historical question information and corresponding answer information.

[0065] Figure 4 is a schematic block diagram of an electronic terminal provided in an embodiment of the present application. Figure 4 As shown, the electronic terminal includes: at least one processor 401, a memory 402, at least one network interface 403 and a user interface 405. The various components in the device are coupled together through a bus system 404. It can be understood that the bus system 404 is used to achieve connection and communication between these components. In addition to the data bus, the bus system 404 also includes a power bus, a control bus and a status signal bus. However, for the sake of clarity, Figure 4 In the specification, various buses are labeled as bus systems.

[0066] The user interface 405 may include a display, a keyboard, a mouse, a trackball, a click gun, keys, buttons, a touch pad or a touch screen.

[0067] It is understood that the memory 402 can be a volatile memory or a non-volatile memory, and can also include both volatile and non-volatile memories. Among them, the non-volatile memory can be a read-only memory (ROM), a programmable read-only memory (PROM), which is used as an external cache. By way of example but not limitation, many forms of RAM are available, such as static random access memory (SRAM), synchronous static random access memory (SSRAM). The memory described in the embodiments of the present invention is intended to include but is not limited to these and any other suitable categories of memory.

[0068] The memory 402 in the embodiment of the present invention is used to store various categories of data to support the operation of the electronic terminal 400. Examples of these data include: any executable program for operating on the electronic terminal 400, such as an operating system 4021 and an application 4022; the operating system 4021 includes various system programs, such as a framework layer, a core library layer, a driver layer, etc., for implementing various basic services and processing hardware-based tasks. The application 4022 may include various applications, such as a media player (Media Player), a browser (Browser), etc., for implementing various application services. The intelligent question-and-answer method for medical device management provided by the embodiment of the present invention may be included in the application 4022.

[0069] The method disclosed in the above embodiment of the present invention can be applied to the processor 401, or implemented by the processor 401. The processor 401 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by the hardware integrated logic circuit in the processor 401 or the instruction in the form of software. The above processor 401 may be a general processor, a digital signal processor (DSP, Digital Signal Processor), or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. The processor 401 can implement or execute the various methods, steps and logic block diagrams disclosed in the embodiment of the present invention. The general processor 401 may be a microprocessor or any conventional processor, etc. In combination with the steps of the accessory optimization method provided in the embodiment of the present invention, it can be directly embodied as a hardware decoding processor to execute, or it can be executed by a combination of hardware and software modules in the decoding processor. The software module can be located in a storage medium, which is located in a memory, and the processor reads the information in the memory and completes the steps of the above method in combination with its hardware.

[0070] In an exemplary embodiment, the electronic terminal 400 may be implemented by one or more application specific integrated circuits (ASIC), DSP, programmable logic device (PLD), complex programmable logic device (CPLD) to execute the aforementioned method.

[0071] According to the method provided in the embodiment of the present application, the present application also provides a computer program product, which includes: a computer program code, when the computer program code is run on a computer, the computer executes Figure 3 An intelligent question-answering method for medical device management in the illustrated embodiment.

[0072] According to the method provided in the embodiment of the present application, the present application also provides a computer-readable storage medium, which stores a program code, and when the program code is run on a computer, the computer executes Figure 3 An intelligent question-answering method for medical device management in the illustrated embodiment.

[0073] The terms "component", "module", "system", etc. used in this specification are used to represent computer-related entities, hardware, firmware, a combination of hardware and software, software, or software in execution. For example, a component can be, but is not limited to, a process running on a processor, a processor, an object, an executable file, an execution thread, a program and / or a computer. By way of illustration, both applications running on a computing device and a computing device can be components. One or more components may reside in a process and / or an execution thread, and a component may be located on a computer and / or distributed between two or more computers. In addition, these components may be executed from various computer-readable media having various data structures stored thereon. Components may, for example, communicate through local and / or remote processes according to signals having one or more data packets (e.g., data from two components interacting with another component between a local system, a distributed system and / or a network, such as the Internet interacting with other systems through signals).

[0074] Those of ordinary skill in the art will appreciate that the various illustrative logical blocks and steps described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or in a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel may use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0075] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0076] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0077] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0078] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0079] In the above embodiments, the functions of each functional unit can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions (programs). When loading and executing computer program instructions (programs) on a computer, the process or function according to the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. Computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, computer instructions can be transmitted from a website site, computer, server or data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (digital subscriber line, DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, server or data center. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that contains one or more available media integrations. Available media may be magnetic media (e.g., floppy disks, hard disks, tapes), optical media (e.g., high-density digital video discs (DVDs), or semiconductor media (e.g., solid state disks (SSDs), etc.).

[0080] If the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk, and other media that can store program codes.

[0081] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0082] In summary, the present application provides an intelligent question-answering system, method, terminal, medium and product for medical equipment management. The system includes an acquisition module for acquiring question information related to medical equipment management to be answered; an intention recognition module connected to the acquisition module for performing intention recognition on the question information and obtaining the intention category of the question information; an intelligent answer module constructed based on a multi-level answer strategy, respectively connected to the acquisition module and the intention recognition module, for generating corresponding answer information according to the question information and its intention category. The present application can provide answer information corresponding to the question information related to medical equipment management to be answered in a timely manner through the intelligent answer module, thereby improving the efficiency of medical equipment management. Therefore, the present application effectively overcomes the various shortcomings in the prior art and has a high industrial utilization value.

[0083] The above embodiments are merely illustrative of the principles and effects of the present application and are not intended to limit the present application. Anyone familiar with the technology may modify or change the above embodiments without violating the spirit and scope of the present application. Therefore, all equivalent modifications or changes made by a person of ordinary skill in the art without departing from the spirit and technical ideas disclosed in the present application shall still be covered by the claims of the present application.

Claims

1. An intelligent question-answering system for medical equipment management, characterized in that: include: An acquisition module, used to obtain question information related to medical device management to be answered; an intention recognition module, connected to the acquisition module, for performing intention recognition on the question information to obtain the intention category of the question information; The intelligent answer module constructed based on the multi-level answer strategy is connected to the acquisition module and the intention recognition module respectively, and is used to generate corresponding answer information according to the question information and its intention category.

2. The intelligent question-answering system for medical equipment management according to claim 1, characterized in that: The intelligent answer module is deployed with historical equipment management information, medical equipment management knowledge base and AI big model.

3. The intelligent question-answering system for medical equipment management according to claim 2, characterized in that: The intelligent answer module comprises: The first-level search submodule is used to search in the historical medical device management information according to the question information and its intent category, obtain historical search result information, and output the historical search result information as answer information if the historical search result information meets the requirements; wherein the format of the historical search result information that meets the requirements conforms to the answer format corresponding to the intent category.

4. The intelligent question-answering system for medical equipment management according to claim 3, characterized in that: The intelligent answer module also includes: The second-level search submodule is used to search the medical device management knowledge base according to the question information and its intent category to obtain knowledge base search result information when the historical search result information does not meet the requirements, and output the knowledge base search result information as answer information when the knowledge base search result information meets the requirements; wherein the format of the knowledge base search result information that meets the requirements conforms to the answer format corresponding to the intent category.

5. The intelligent question-answering system for medical equipment management according to claim 4, characterized in that: The intelligent answer module also includes: The AI ​​big model submodule is used to obtain the AI ​​answer generation result based on the question information and the answer format corresponding to the intent category by using the AI ​​big model when the knowledge base search result information does not meet the requirements, and output the AI ​​answer generation result as answer information.

6. The intelligent question-answering system for medical equipment management according to claim 2, characterized in that: The system also includes: a recording module, which is used to record historical question and answer information and update the verified question and answer information into the historical medical device management information; wherein the historical question and answer information includes historical question information and corresponding answer information.

7. An intelligent question-answering method for medical equipment management, characterized in that: include: Get information about medical device management questions to be answered; Performing intent recognition on the question information to obtain an intent category of the question information; Based on the multi-level answering strategy, an intelligent answering module is constructed to generate corresponding answer information according to the question information and its intent category.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method of claim 7 is implemented.

9. A computer program product, characterized in that The computer program product comprises a computer program code, and when the computer program code is run on a computer, the computer is enabled to implement the method according to claim 7.

10. An electronic terminal comprising a memory, a processor and a computer program stored in the memory, characterized in that: The processor executes the computer program to implement the method of claim 7.

Images