Nursing task processing method based on voice recognition and intelligent scene analysis

Abstract

The invention discloses a nursing task processing method based on voice recognition and intelligent scene analysis, and relates to the technical field of distribution of nursing tasks, and the method comprises the steps: carrying out the voice data collection of an environment where a medical worker is located in real time through a voice monitoring device worn on the body of the medical worker, and generating a nursing demand; for any nursing demand, performing priority ranking on all the current nursing tasks according to the nursing tasks corresponding to the nursing demand, and generating a ranking result; and sending the target nursing task to the target medical worker according to the sorting result, monitoring the execution environment in the process that the target medical worker executes the nursing task, and sending a prompt to the target medical worker through the voice monitoring device when an abnormality exists. By monitoring the execution environment, the error correction prompt can be given in time when the target medical staff executes the target nursing task, and normal proceeding of the nursing task is guaranteed.

Description

Background Art

[0002] In the modern medical environment, nursing positions have become a key node in medical quality management due to heavy workloads and complex tasks. With the increase in patient demand and the intensification of the imbalance of medical resources, traditional nursing methods have been unable to adapt to the requirements of high-quality development of hospitals. Especially for new nurses, their ability to respond to ward operating procedures, patient condition management and risk events is limited, which may lead to decreased nursing efficiency or increased medical risks. At the same time, the existing information-based nursing system focuses more on data entry and recording, lacks intelligent auxiliary functions, and cannot dynamically adapt to real-time changes in clinical scenarios. How to deeply integrate AI technology into the nursing process, identify nursing scenarios in real time and provide guidance has become an urgent problem to be solved in the medical industry. Summary of the invention

[0003] The technical problem to be solved by the present invention is to address the deficiencies of the prior art and specifically provide a nursing task processing method based on speech recognition and intelligent scene analysis, which is as follows:

[0004] 1) In the first aspect, the present invention provides a nursing task processing method based on speech recognition and intelligent scene analysis, and the specific technical scheme is as follows:

[0005] S1, through the voice monitoring device worn by the medical staff, the voice data of the environment in which the medical staff is located is collected in real time and the nursing needs are generated;

[0006] S2, for any nursing need, prioritize all current nursing tasks according to the nursing tasks corresponding to the nursing need, and generate a ranking result;

[0007] S3, according to the sorting result, sending the target nursing task to the target medical staff, and monitoring the execution environment during the target medical staff performing the nursing task, and issuing a prompt to the target medical staff through the voice monitoring device when there is an abnormality.

[0008] The beneficial effects of a nursing task processing method based on speech recognition and intelligent scene analysis provided by the present invention are as follows:

[0009] The voice monitoring device can be used to collect voice data in the surrounding environment in real time, and through subsequent processing and analysis of the voice data, the nursing needs in the environment can be determined. In addition, different nursing needs include the same or different nursing tasks, so prioritizing nursing tasks also ensures the timeliness and timeliness of nursing task processing. By monitoring the execution environment, error correction prompts can be given in a timely manner when the target medical staff is performing the target nursing task, ensuring the normal progress of the nursing task.

[0010] Based on the above solution, the present invention can also be improved as follows.

[0011] Furthermore, the process of monitoring the execution environment and sending a prompt to the target medical staff through the voice monitoring device when an abnormality occurs is specifically as follows:

[0012] The execution environment is monitored, and keywords in the environmental voice information are extracted, the keywords are integrated, and the status level corresponding to the execution environment is determined. When the status level exceeds the warning level, it is determined that an abnormality exists, and a prompt is issued to the target medical staff through the voice monitoring device. The higher the status level, the higher the probability that an emergency situation exists in the current execution environment.

[0013] Furthermore, it also includes:

[0014] Acquire new nursing needs in real time, and re-prioritize all current nursing tasks according to the new nursing needs, generate new sorting results, and use the new sorting results as the sorting results in S2, and continue to execute S3.

[0015] Furthermore, it also includes:

[0016] According to a fixed cycle, the execution results of the target medical staff in performing the target nursing tasks are recorded and a log is generated for storage.

[0017] 2) In the second aspect, the present invention also provides a nursing task processing system based on speech recognition and intelligent scene analysis, and the specific technical solution is as follows:

[0018] The collection module is used to: collect voice data of the environment where the medical staff is located in real time and generate nursing needs through the voice monitoring device worn by the medical staff;

[0019] The sorting module is used to: for any nursing need, prioritize all current nursing tasks according to the nursing tasks corresponding to the nursing need, and generate a sorting result;

[0020] The processing module is used to: send the target nursing task to the target medical staff according to the sorting result, monitor the execution environment when the target medical staff performs the nursing task, and issue a prompt to the target medical staff through the voice monitoring device when there is an abnormality.

[0021] Based on the above solution, the present invention can also be improved as follows.

[0022] Furthermore, the process of monitoring the execution environment and sending a prompt to the target medical staff through the voice monitoring device when an abnormality occurs is specifically as follows:

[0023] The execution environment is monitored, and keywords in the environmental voice information are extracted, the keywords are integrated, and the status level corresponding to the execution environment is determined. When the status level exceeds the warning level, it is determined that an abnormality exists, and a prompt is issued to the target medical staff through the voice monitoring device. The higher the status level, the higher the probability that an emergency situation exists in the current execution environment.

[0024] Furthermore, it also includes:

[0025] The repetition module is used to: obtain new nursing needs in real time, and re-prioritize all current nursing tasks according to the new nursing needs, generate new sorting results, and use the new sorting results as the sorting results in the sorting module to continue executing the processing module.

[0026] Furthermore, it also includes:

[0027] The archiving module is used to record the execution results of the target medical staff performing the target nursing tasks according to a fixed period and generate a log for storage.

[0028] 3) In a third aspect, the present invention further provides an electronic device, comprising a processor, wherein the processor is coupled to a memory, wherein at least one computer program is stored in the memory, and the at least one computer program is loaded and executed by the processor so that the electronic device implements any of the above methods.

[0029] 4) In a fourth aspect, the present invention further provides a computer-readable storage medium, wherein at least one computer program is stored in the computer-readable storage medium, and the at least one computer program is loaded and executed by a processor so that a computer implements any of the above methods.

[0030] It should be noted that the beneficial effects achieved by the technical solutions of the second to fourth aspects of the present invention and the corresponding possible implementation methods can be found in the above-mentioned technical effects of the first aspect and its corresponding possible implementation methods, and will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Other features, objects and advantages of the present invention will become more apparent from the detailed description of non-limiting embodiments made with reference to the following drawings:

[0032] Figure 1 A flowchart of a nursing task processing method based on speech recognition and intelligent scene analysis according to an embodiment of the present invention;

[0033] Figure 2 The figure is a structural frame diagram of an electronic device. DETAILED DESCRIPTION

[0034] In order to make the objectives, technical solutions and advantages of the present invention more clear, the embodiments of the present invention will be further described in detail below with reference to the accompanying drawings.

[0035] like Figure 1 As shown, a nursing task processing method based on speech recognition and intelligent scene analysis in an embodiment of the present invention includes the following steps:

[0036] S1, through the voice monitoring device worn by the medical staff, the voice data of the environment in which the medical staff is located is collected in real time and the nursing needs are generated;

[0037] S2, for any nursing need, prioritize all current nursing tasks according to the nursing tasks corresponding to the nursing need, and generate a ranking result;

[0038] S3, according to the sorting result, sending the target nursing task to the target medical staff, and monitoring the execution environment during the target medical staff performing the nursing task, and issuing a prompt to the target medical staff through the voice monitoring device when there is an abnormality.

[0039] The beneficial effects of a nursing task processing method based on speech recognition and intelligent scene analysis provided by the present invention are as follows:

[0040] The voice monitoring device can be used to collect voice data in the surrounding environment in real time, and through subsequent processing and analysis of the voice data, the nursing needs in the environment can be determined. In addition, different nursing needs include the same or different nursing tasks, so prioritizing nursing tasks also ensures the timeliness and timeliness of nursing task processing. By monitoring the execution environment, error correction prompts can be given in a timely manner when the target medical staff is performing the target nursing task, ensuring the normal progress of the nursing task.

[0041] S1, through the voice monitoring device worn by the medical staff, the voice data of the environment in which the medical staff is located is collected in real time and the nursing needs are generated;

[0042] S2, for any nursing need, prioritize all current nursing tasks according to the nursing tasks corresponding to the nursing need, and generate a ranking result;

[0043] S3, according to the sorting result, sending the target nursing task to the target medical staff, and monitoring the execution environment during the target medical staff performing the nursing task, and issuing a prompt to the target medical staff through the voice monitoring device when there is an abnormality.

[0044] The voice monitoring device may be a portable microphone.

[0045] The process of generating nursing needs is as follows:

[0046] After the voice data is collected, the voiceprint feature is extracted, and all the extracted voiceprint features are compared in the voiceprint database to determine the name of the first medical staff corresponding to each voiceprint feature, and the target name of the current user in the use registration table corresponding to the voice monitoring device is extracted. Among all the names of the first medical staff, the first medical staff with the same target name and the target voice data corresponding to the voiceprint feature are determined. The target voice data is extracted and confirmed, and at least one keyword corresponding to the target voice data is generated. According to the keyword, at least one primary care demand corresponding to the target voice data is determined, and the target level information corresponding to the target name is determined. It is determined whether all primary care demands are included in the functional scope corresponding to the target level information. If not, the primary care demands that do not meet the functional scope are recorded, and a suspected unauthorized list is generated. The suspected unauthorized list is confirmed by the supervisor corresponding to the target name. If the supervisor's confirmation information on the suspected unauthorized list is obtained, it will be removed from the suspected unauthorized list. If all primary nursing needs are within the scope of functions, the nursing tasks corresponding to each primary nursing need will be determined in the nursing task database, and all nursing tasks corresponding to the primary nursing needs will be uniformly sorted according to the level of the primary nursing needs, and corresponding target medical staff will be assigned to each nursing task.

[0047] It should be noted that nursing tasks of the same type will be issued to the same target medical staff in order of priority, so that the target medical staff can understand the matters they need to deal with more accurately.

[0048] The voiceprint database refers to the storage space containing the name of each medical staff member and the corresponding voiceprint and physical signs.

[0049] The usage registration table contains the usage records of each voice monitoring device, that is, the name of the current and historical users, usage time, etc. corresponding to each voice monitoring device.

[0050] The scope of functions refers to the different permissions that doctors or nurses of different levels have. Each permission corresponds to different nursing needs and nursing tasks.

[0051] The above solution can effectively avoid the problem of confused nursing needs due to incorrect authority. In addition, by refining the nursing tasks, it can also provide medical staff who subsequently perform nursing tasks with a clearer task list and a clearer priority order.

[0052] In addition, the execution environment refers to the range of the farthest distance of the source that the voice monitoring device can collect.

[0053] Furthermore, the process of monitoring the execution environment and sending a prompt to the target medical staff through the voice monitoring device when an abnormality occurs is specifically as follows:

[0054] The execution environment is monitored, and keywords in the environmental voice information are extracted, the keywords are integrated, and the status level corresponding to the execution environment is determined. When the status level exceeds the warning level, it is determined that an abnormality exists, and a prompt is issued to the target medical staff through the voice monitoring device. The higher the status level, the higher the probability that an emergency situation exists in the current execution environment.

[0055] Furthermore, it also includes:

[0056] Acquire new nursing needs in real time, and re-prioritize all current nursing tasks according to the new nursing needs, generate new sorting results, and use the new sorting results as the sorting results in S2, and continue to execute S3.

[0057] Furthermore, it also includes:

[0058] According to a fixed cycle, the execution results of the target medical staff in performing the target nursing tasks are recorded and a log is generated for storage.

[0059] Example 1, 1. System initialization

[0060] The system loads patient data, nursing specifications, and task list templates;

[0061] Initialize the voice monitoring service and scene analysis module to prepare to capture and analyze ambient sound.

[0062] 2. Real-time voice monitoring and scene analysis

[0063] The system collects the voice data of nurses during work through microphones and analyzes the task content in real time;

[0064] Conduct a structured analysis of the scenarios and mark the task completion status and unfinished items.

[0065] 3. Dynamic task generation and adjustment

[0066] Automatically generate personalized task lists based on patient data;

[0067] Supports real-time task adjustments, such as adding new patient orders or modifying care plans.

[0068] 4. Intelligent prompts and operation guidance

[0069] Send operation reminders to nurses through clip-on devices or mobile terminals;

[0070] Provide operational guidance at key mission nodes (such as dressing changes and injections) to avoid mistakes.

[0071] 5. Risk warning and scenario warning

[0072] The system generates real-time warning information for high-risk tasks;

[0073] For emergency scenarios, quickly provide emergency response suggestions and notify relevant personnel.

[0074] 6. Data synchronization and storage

[0075] Nursing task status and scenario analysis results are automatically synchronized to the HIS system;

[0076] Record task completion status and interaction logs to provide data support for nursing quality management.

[0077] Compared with the prior art, the present invention has significant advantages:

[0078] 1. Intelligent nursing plan generation

[0079] The system can dynamically generate nursing tasks based on the patient's condition, optimize nurse workflows, and improve nursing efficiency.

[0080] 2. Real-time scene recognition and task guidance

[0081] Through voice monitoring and scene analysis, the system can track nurses' operations in real time, prompt high-risk tasks or omissions, and reduce nursing errors.

[0082] 3. Support new nurses to adapt quickly

[0083] The system provides real-time nursing operation guidance and knowledge support to help new nurses quickly become familiar with the process and improve their work ability.

[0084] 4. Compatibility and scalability

[0085] The system is deeply integrated with the existing hospital information system, supports dynamic updates, and is suitable for a variety of nursing scenarios and emergency tasks.

[0086] 5. Improve medical quality and reduce risks

[0087] The system provides full-process nursing assistance and risk warnings to ensure patient safety and improve the quality of nursing services.

[0088] 6. Long-term data value

[0089] As the system usage data accumulates, chronic disease management, rehabilitation care and home care functions can be further developed to form a closed loop of intelligent care ecology.

[0090] In the above embodiments, although the steps are numbered S1, S2, etc., these are only specific embodiments given by the present invention. Those skilled in the art may adjust the execution order of S1, S2, etc. according to actual conditions, which is also within the protection scope of the present invention. It can be understood that in some embodiments, some or all of the above embodiments may be included.

[0091] The present invention also provides a nursing task processing system based on speech recognition and intelligent scene analysis, and the specific technical solution is as follows:

[0092] The collection module is used to: collect voice data of the environment where the medical staff is located in real time and generate nursing needs through the voice monitoring device worn by the medical staff;

[0093] The sorting module is used to: for any nursing need, prioritize all current nursing tasks according to the nursing tasks corresponding to the nursing need, and generate a sorting result;

[0094] The processing module is used to: send the target nursing task to the target medical staff according to the sorting result, monitor the execution environment when the target medical staff performs the nursing task, and issue a prompt to the target medical staff through the voice monitoring device when there is an abnormality.

[0095] Based on the above solution, the present invention can also be improved as follows.

[0096] Furthermore, the process of monitoring the execution environment and sending a prompt to the target medical staff through the voice monitoring device when an abnormality occurs is specifically as follows:

[0097] The execution environment is monitored, and keywords in the environmental voice information are extracted, the keywords are integrated, and the status level corresponding to the execution environment is determined. When the status level exceeds the warning level, it is determined that an abnormality exists, and a prompt is issued to the target medical staff through the voice monitoring device. The higher the status level, the higher the probability that an emergency situation exists in the current execution environment.

[0098] Furthermore, it also includes:

[0099] The repetition module is used to: obtain new nursing needs in real time, and re-prioritize all current nursing tasks according to the new nursing needs, generate new sorting results, and use the new sorting results as the sorting results in the sorting module to continue executing the processing module.

[0100] Furthermore, it also includes:

[0101] The archiving module is used to record the execution results of the target medical staff performing the target nursing tasks according to a fixed period and generate a log for storage.

[0102] It should be noted that the beneficial effects of the nursing task processing system based on speech recognition and intelligent scene analysis provided by the above embodiment are the same as the beneficial effects of the nursing task processing method based on speech recognition and intelligent scene analysis, which will not be repeated here. In addition, when the system provided by the above embodiment realizes its functions, it only uses the division of the above functional modules as an example. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the system can be divided into different functional modules according to actual conditions to complete all or part of the functions described above. In addition, the system and method embodiments provided by the above embodiment belong to the same concept, and the specific implementation process is detailed in the method embodiment, which will not be repeated here.

[0103] like Figure 2 As shown, an electronic device 300 according to an embodiment of the present invention includes a processor 320, the processor 320 is coupled to a memory 310, and the memory 310 stores at least one computer program 330, and the at least one computer program 330 is loaded and executed by the processor 320, so that the electronic device 300 implements any of the above methods, specifically:

[0104] The electronic device 300 may have relatively large differences due to different configurations or performances, and may include one or more processors 320 (Central Processing Units, CPU) and one or more memories 310, wherein the one or more memories 310 store at least one computer program 330, and the at least one computer program 330 is loaded and executed by the one or more processors 320, so that the electronic device 300 implements a nursing task processing method based on speech recognition and intelligent scene analysis provided in the above embodiment. Of course, the electronic device 300 may also have components such as a wired or wireless network interface, a keyboard, and an input and output interface for input and output, and the electronic device 300 may also include other components for realizing device functions, which will not be repeated here.

[0105] A computer-readable storage medium according to an embodiment of the present invention stores at least one computer program, and the at least one computer program is loaded and executed by a processor so that a computer implements any one of the above methods.

[0106] Optionally, the computer-readable storage medium may be a read-only memory (ROM), a random access memory (RAM), a compact disc (CD-ROM), a magnetic tape, a floppy disk, an optical data storage device, and the like.

[0107] In an exemplary embodiment, a computer program product or a computer program is also provided, the computer program product or the computer program comprising computer instructions, the computer instructions being stored in a computer-readable storage medium. A processor of an electronic device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the electronic device performs any of the above methods.

[0108] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application are used to distinguish similar objects and represent the definition of a specific order or sequence. The order of use of similar objects can be interchanged where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than the order shown or described.

[0109] Those skilled in the art know that the present invention can be implemented as a system, method or computer program product. Therefore, the present disclosure can be specifically implemented in the following forms, namely: it can be complete hardware, it can be complete software (including firmware, resident software, microcode, etc.), or it can be a combination of hardware and software, which is generally referred to as "circuit", "module" or "system" herein. In addition, in some embodiments, the present invention can also be implemented in the form of a computer program product in one or more computer-readable media, and the computer-readable medium contains computer-readable program code.

[0110] Any combination of one or more computer-readable media may be used. A computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium. A computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or device, or any combination thereof. More specific examples (a non-exhaustive list) of computer-readable storage media include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In this document, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in conjunction with an instruction execution system, device, or device.

[0111] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present invention.

Claims

1. A nursing task processing method based on speech recognition and intelligent scene analysis, characterized in that: include: S1, through the voice monitoring device worn by the medical staff, the voice data of the environment in which the medical staff is located is collected in real time and the nursing needs are generated; S2, for any nursing need, prioritize all current nursing tasks according to the nursing tasks corresponding to the nursing need, and generate a ranking result; S3, according to the sorting result, sending the target nursing task to the target medical staff, and monitoring the execution environment during the target medical staff performing the nursing task, and issuing a prompt to the target medical staff through the voice monitoring device when there is an abnormality.

2. A nursing task processing method based on speech recognition and intelligent scene analysis according to claim 1, characterized in that: The specific process of monitoring the execution environment and sending a prompt to the target medical staff through the voice monitoring device when an abnormality occurs is: The execution environment is monitored, and keywords in the environmental voice information are extracted, the keywords are integrated, and the status level corresponding to the execution environment is determined. When the status level exceeds the warning level, it is determined that an abnormality exists, and a prompt is issued to the target medical staff through the voice monitoring device. The higher the status level, the higher the probability that an emergency situation exists in the current execution environment.

3. A nursing task processing method based on speech recognition and intelligent scene analysis according to claim 1, characterized in that: Also includes: Acquire new nursing needs in real time, and re-prioritize all current nursing tasks according to the new nursing needs, generate new sorting results, and use the new sorting results as the sorting results in S2, and continue to execute S3.

4. A nursing task processing method based on speech recognition and intelligent scene analysis according to claim 1, characterized in that: Also includes: According to a fixed cycle, the execution results of the target medical staff in performing the target nursing tasks are recorded and a log is generated for storage.

5. A nursing task processing system based on speech recognition and intelligent scene analysis, characterized in that: include: The collection module is used to: collect voice data of the environment where the medical staff is located in real time and generate nursing needs through the voice monitoring device worn by the medical staff; The sorting module is used to: for any nursing need, prioritize all current nursing tasks according to the nursing tasks corresponding to the nursing need, and generate a sorting result; The processing module is used to: send the target nursing task to the target medical staff according to the sorting result, monitor the execution environment when the target medical staff performs the nursing task, and issue a prompt to the target medical staff through the voice monitoring device when there is an abnormality.

6. A nursing task processing system based on speech recognition and intelligent scene analysis according to claim 5, characterized in that: The specific process of monitoring the execution environment and sending a prompt to the target medical staff through the voice monitoring device when an abnormality occurs is: The execution environment is monitored, and keywords in the environmental voice information are extracted, the keywords are integrated, and the status level corresponding to the execution environment is determined. When the status level exceeds the warning level, it is determined that an abnormality exists, and a prompt is issued to the target medical staff through the voice monitoring device. The higher the status level, the higher the probability that an emergency situation exists in the current execution environment.

7. A nursing task processing system based on speech recognition and intelligent scene analysis according to claim 5, characterized in that: Also includes: The repetition module is used to: obtain new nursing needs in real time, and re-prioritize all current nursing tasks according to the new nursing needs, generate new sorting results, and use the new sorting results as the sorting results in the sorting module to continue executing the processing module.

8. The nursing task processing system based on speech recognition and intelligent scene analysis according to claim 5 is characterized in that: Also includes: The archiving module is used to record the execution results of the target medical staff performing the target nursing tasks according to a fixed period and generate a log for storage.

9. An electronic device, characterized in that: The electronic device comprises a processor, the processor is coupled to a memory, at least one computer program is stored in the memory, and the at least one computer program is loaded and executed by the processor so that the electronic device implements the method according to any one of claims 1 to 4.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores at least one computer program, and the at least one computer program is loaded and executed by a processor so that a computer implements the method according to any one of claims 1 to 4.

Images