Nursing board intelligent voice control method based on NLP

Abstract

The invention belongs to the technical field of intelligent interaction, and particularly relates to an NLP-based nursing Kanban intelligent voice control method, which comprises the following steps: S1, receiving voice input performed by nursing personnel through a handset PDA with specific hardware configuration, performing word segmentation analysis on the voice input by using a specific natural language processing algorithm, extracting instructions and contents, and sending the instructions and the contents to a server; if the keyword is matched, continuing the subsequent steps; according to the invention, the natural language processing technology is applied to the nursing board, the patient information is automatically input and updated, the workload and the error risk of nursing personnel are greatly reduced, and meanwhile, the intelligent control technology is adopted, so that the intelligent control of the nursing personnel is realized, and the intelligent control of the nursing personnel is realized. Automatic control over the nursing board is achieved, the information processing and response speed is increased, and therefore the overall working efficiency is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of intelligent interaction, and particularly relates to an intelligent voice control method for a nursing dashboard based on NLP. Background Art

[0002] With the continuous development of the medical industry, nursing staff are facing increasing work pressure. In the daily busy medical environment, nursing staff need to process a large amount of patient information, perform various nursing tasks, and ensure high efficiency and accuracy. However, traditional nursing dashboard systems usually rely on manual operations, such as manually inputting data and clicking buttons to switch pages. This operation method is not only time-consuming but also error-prone. Especially in emergency situations, the efficiency of nursing staff is severely affected, and the risk of human error also increases. To solve the above problems, an intelligent voice control method for a nursing dashboard based on NLP is proposed in this application. Summary of the Invention

[0003] The present invention provides an intelligent voice control method for a nursing dashboard based on NLP, which can effectively solve the problems proposed in the above background art.

[0004] To achieve the above object, the present invention provides the following technical solution: An intelligent voice control method for a nursing dashboard based on NLP, including the following steps:

[0005] S1: Receive the voice input from the nursing staff through a handheld PDA with specific hardware configuration, use a specific natural language processing algorithm to perform word segmentation and parsing on the voice input, extract the instructions and content, match the keywords, and then continue with the subsequent steps; otherwise, if the keywords do not match, prompt the user to re-enter or request a more specific instruction;

[0006] S2: Match the extracted instructions with a pre-configured instruction list to identify the type of the instructions, including action-type instructions;

[0007] S3: Query the specific operation content according to the instruction type and content;

[0008] S4: When the identified instruction is an action-type instruction, send the corresponding message to the message queue of the nursing dashboard according to the pre-defined message queue configuration to ensure that the nursing dashboard can respond in a timely manner;

[0009] S5: When the instruction involves data query, query the specific content according to the SQL configuration;

[0010] S6: Send the query result to the queue of the nursing dashboard through the message queue according to the pre-defined message queue configuration;

[0011] S7: After the nursing dashboard receives the message, perform the corresponding operation.

[0012] Preferably, in S1, the word segmentation and parsing include converting the voice input into a text command and performing lexical segmentation.

[0013] Preferably, in S2, the type matching of the command includes exact matching, fuzzy matching, and pinyin matching;

[0014] The exact matching fully matches the parsed command with the command library in the system;

[0015] The fuzzy matching fuzzily matches the parsed command with the command library in the system;

[0016] The pinyin matching matches the parsed command with the command library in the system by pinyin.

[0017] Preferably, in S2, the pre-configured command list refers to a list that is preset by the system and used to quickly identify common commands, while the command library in the system contains all possible commands and their corresponding operations.

[0018] Preferably, in S3, according to the command type and content, the corresponding operation content is queried from the pre-configured operation content library.

[0019] Preferably, in S7, according to the received message, the nursing dashboard can perform operations such as page opening, closing, swiping up, swiping down, or data display.

[0020] Preferably, the system integrates speech recognition and synthesis technologies to achieve voice interaction between the nursing staff and the nursing dashboard.

[0021] Preferably, data security during the interaction process is ensured through security measures.

[0022] Compared with the prior art, the beneficial effects of the present invention are:

[0023] 1. By applying natural language processing technology to the nursing dashboard, the automatic input and update of patient information are realized, greatly reducing the workload and error risk of the nursing staff. At the same time, through intelligent control technology, the automatic control of the nursing dashboard is realized, improving the information processing and response speed, thereby improving the overall work efficiency.

[0024] 2. Through the voice input method, the nursing staff does not need to manually input information, improving the convenience and usability of the system. At the same time, since the present invention can automatically understand and process natural language commands, and the system improves the accuracy of voice command recognition through matching command methods such as exact matching, fuzzy matching, and pinyin matching, even if the pronunciation of the nursing staff is not very standard, they can control the nursing dashboard through voice commands, further improving the convenience and usability of the system.

[0025] 3. Through the message queue method, data sharing between different systems is realized, the degree of data integration is improved, and thus the overall work efficiency is enhanced. At the same time, the specific content can be queried according to the structured query language of the database, making the data query and processing more efficient and accurate.

[0026] 4. Through natural language processing technology and intelligent control technology, the intelligent control of the nursing dashboard is realized, making the nursing work more intelligent and automated, and improving the quality and efficiency of the nursing work. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] The drawings are used to provide further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation to the present invention. In the drawings:

[0028] Figure 1 is a flowchart of the intelligent voice control method for the nursing dashboard based on NLP of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0029] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the scope of protection of the present invention.

[0030] Embodiment, as Figure 1 shown, the intelligent voice control method for the nursing dashboard based on NLP includes the following steps:

[0031] S1: Receive the voice input from the nursing staff through the handheld PDA with specific hardware configuration, use a specific natural language processing algorithm to perform word segmentation and parsing on the voice input, extract the instructions and content, and match the keywords. If the keywords are matched, continue with the subsequent steps; otherwise, if the keywords are not matched, prompt the user to re-enter or request a more specific instruction. The word segmentation and parsing include converting the voice input into a text instruction and performing lexical segmentation. For example, in "Open the patient reminder", "Open" is the instruction and "patient reminder" is the content;

[0032] S2: Match the extracted instructions with a pre-configured instruction list to identify the types of instructions, including action instructions. The type matching of instructions includes exact matching, fuzzy matching, and pinyin matching. Exact matching involves completely matching the parsed instructions with the instruction library within the system. Fuzzy matching involves fuzzy matching the parsed instructions with the instruction library within the system. Pinyin matching involves pinyin matching the parsed instructions with the instruction library within the system. The pre-configured instruction list refers to a list that is preset by the system for quickly identifying common instructions, and the instruction library within the system contains all possible instructions and their corresponding operations.

[0033] S3: Query the specific operation content based on the instruction type and content. Based on the instruction type and content, query the corresponding operation content from the pre-configured operation content library.

[0034] S4: When the identified instruction is an action instruction, send the corresponding message to the message queue of the nursing dashboard according to the predefined message queue configuration to ensure that the nursing dashboard can respond in a timely manner.

[0035] S5: When the instruction involves data query, query the specific content according to the SQL configuration.

[0036] S6: Send the query result to the queue of the nursing dashboard through the message queue according to the predefined message queue configuration.

[0037] S7: After receiving the message, the nursing dashboard performs the corresponding operation. After receiving the message, the nursing dashboard will open the corresponding page and display the data. The nursing dashboard can perform operations such as page opening, closing, swiping up, swiping down, or data display according to the received message.

[0038] Among them, the system integrates speech recognition and synthesis technologies to achieve voice interaction between nursing staff and the nursing dashboard, and ensures the data security during the interaction process through security measures.

[0039] This invention applies natural language processing technology (NLP) to the nursing dashboard, realizing the automatic input and update of patient information, greatly reducing the workload and error risk of nursing staff. At the same time, through intelligent control technology, it realizes the automated control of the nursing dashboard, improves the information processing and response speed, and thus improves the overall work efficiency.

[0040] Finally, it should be noted that the above are only preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or perform equivalent replacements for some of the technical features. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. The intelligent voice control method of nursing board based on NLP is characterized by , including the following steps: S1: receiving voice input from a nursing staff through a handheld PDA with a specific hardware configuration, performing word segmentation and parsing on the voice input using a specific natural language processing algorithm, extracting instructions and content, and continuing with subsequent steps if the keywords are matched; otherwise, prompting the user to re-enter or request a more specific instruction if the keywords are not matched; S2: Match the extracted instructions with the pre-configured instruction list to identify the type of instruction, including action-type instructions; S3: Query the specific operation content according to the instruction type and content; S4: When the identified instruction is of action type, the corresponding message is sent to the message queue of the nursing board according to the predefined message queue configuration to ensure that the nursing board can respond in time; S5: When the instruction involves data query, query the specific content according to the SQL configuration; S6: Send the query result to the queue of the nursing board through the message queue according to the predefined message queue configuration; S7: After receiving the message, the nursing board performs corresponding operations.

2. The method for intelligent voice control of nursing signboard based on NLP according to claim 1 is characterized in that: In S1, the word segmentation analysis includes converting the voice input into text instructions and performing word segmentation.

3. The method for intelligent voice control of nursing signboard based on NLP according to claim 1 is characterized in that: In S2, the type matching of the instruction includes complete matching, fuzzy matching and phonetic matching; The complete matching completely matches the parsed instructions with the instruction library in the system; The fuzzy matching performs fuzzy matching on the parsed instructions and the instruction library in the system; The pinyin matching performs pinyin matching on the parsed instructions and the instruction library in the system.

4. The method for intelligent voice control of nursing signboard based on NLP according to claim 1 is characterized in that: In S2, the preconfigured instruction list refers to a list pre-set by the system for quickly identifying commonly used instructions, and the instruction library in the system includes all possible instructions and their corresponding operations.

5. The method for intelligent voice control of nursing signboard based on NLP according to claim 1 is characterized in that: In S3, corresponding operation content is searched from a pre-configured operation content library according to the instruction type and content.

6. The method for intelligent voice control of nursing signboard based on NLP according to claim 1 is characterized in that: In S7, the nursing dashboard can perform corresponding operations such as page opening, closing, scrolling up, scrolling down, or data display according to the received message.

7. The method for intelligent voice control of nursing signboard based on NLP according to claim 1 is characterized in that: The system integrates speech recognition and synthesis technologies to enable voice interaction between nursing staff and nursing boards.

8. The method for intelligent voice control of nursing signboard based on NLP according to claim 1 is characterized in that: Security is used to ensure data security during the interaction process.

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