Intelligent medical-nurse-patient call intercom system and method

Abstract

The present invention provides an intelligent medical-nursing-patient call intercom system and method, wherein the system comprises: a patient call voice module, a call virtual answer module, a task scheduling and distribution module and a nursing task feedback module, which adopts voice recognition to automatically identify the patient's call voice and determine the patient's needs. It can not only support online communication between the patient and the medical staff, but also support virtual replies according to the patient's needs when multiple patients call at the same time or no one answers the patient's call, thereby ensuring that each call of the patient is answered in time, improving the patient's service experience, and automatically allocating medical staff to provide services according to the patient's needs, thereby realizing intelligent management of patient call services and effectively improving service efficiency and quality.

Description

Technical Field

[0001] The present invention relates to the technical field of call intercom, and in particular to an intelligent medical-nurse-patient call intercom system and method. Background Art

[0002] In the overall architecture of the smart hospital, the medical-nursing-patient intercom system undertakes the important task of real-time communication and collaboration. It promotes collaborative work between medical teams and improves the quality and efficiency of medical services by providing efficient, safe and convenient communication methods. Through the medical-nursing intercom system, medical staff can achieve real-time and efficient communication and collaboration, whether it is collaborative work between doctors and nurses, or communication between medical staff and patients. The traditional medical-nursing-patient call intercom system can only communicate with one patient at the same time. If there are multiple patients calling at the same time, they can only queue up and wait for communication; and the medical staff's communication equipment is placed in the nursing station. If the medical staff is caring for the patient in the ward, the calls from patients in other wards cannot be answered in time, and the medical staff cannot provide care nearby, which reduces the service efficiency. Therefore, the present invention proposes an intelligent medical-nursing-patient call intercom system and method. Summary of the invention

[0003] The present invention provides an intelligent medical-patient call intercom system and method to solve the above problems. Voice recognition is used to automatically identify the patient's call voice and determine the patient's needs. It can not only support online communication between patients and medical staff, but also support virtual replies according to patient needs when multiple patients call at the same time or no one answers the patient's call, ensuring that each patient's call is answered in time, improving the patient's service experience, and automatically allocating medical staff to provide services according to patient needs, realizing intelligent management of patient call services, and effectively improving service efficiency and quality.

[0004] The present invention provides an intelligent medical-nursing-patient calling intercom system, comprising:

[0005] A patient call voice module, used for receiving a patient call voice sent by a voice call device, and sending a reply voice to a corresponding voice call device for call answering;

[0006] The reply voice includes virtual reply voice and artificial reply voice;

[0007] The call virtual answering module is used to receive the patient's call voice and perform voice recognition on the patient's call voice. According to the recognition result, a virtual answering voice is generated and sent to the patient's call voice module, and a nursing task is simultaneously generated and sent to the task scheduling and distribution module;

[0008] Task scheduling and distribution module, used to distribute nursing tasks to corresponding target medical staff;

[0009] The nursing task feedback module is used for the target medical staff to confirm the completion of the task after completing the nursing task.

[0010] Preferably, in an intelligent medical-patient calling intercom system, the patient calling voice module includes:

[0011] A voice collection unit, used to collect the patient's calling voice after the control button of the voice calling device is pressed;

[0012] A voice sending unit, used to add a bed tag to the collected patient call voice and send it to the call virtual answering module;

[0013] A reply receiving unit, used for receiving a virtual reply voice sent by a calling virtual reply module, or a manual reply voice sent by a calling manual reply module;

[0014] The voice sending unit is used to identify the target voice calling device based on the bed label, and send the virtual reply voice or the artificial reply voice to the target voice calling device for reply voice playback to complete the call answering.

[0015] Preferably, in an intelligent medical-nurse-patient intercom system, the calling virtual answering module includes:

[0016] A call identification waiting unit is used to receive the patient's call voice and determine whether the current manual answering channel is busy. If so, the patient's call voice is sent to the call receiving identification unit;

[0017] If not, wait for manual response, and after confirming the manual response, receive the manual response voice and send it to the patient call voice module;

[0018] If no one answers when the preset waiting time is reached, the patient's calling voice is sent to the call receiving identification unit;

[0019] A call receiving recognition unit, used to perform voice recognition on the patient's call voice based on a preset voice recognition model to determine the patient's call demand;

[0020] The call virtual reply unit is used to generate a virtual response voice and return it to the patient call voice module based on the patient's call needs and the actual work situation of relevant medical staff.

[0021] The demand service processing unit is used to generate nursing tasks according to the patient's call needs and send them to the task scheduling and distribution module.

[0022] Preferably, in an intelligent medical-nurse-patient intercom system, calling a virtual answering unit includes:

[0023] The identity matching subunit is used to query the preset nursing responsibility table based on the bed tag carried by the patient's call voice to determine the responsible medical staff corresponding to the patient;

[0024] A status confirmation unit, used to obtain the current task allocation status of the responsible medical staff, and when the current task allocation status is idle, determine that the responsible medical staff can provide immediate service to the patient;

[0025] Otherwise, it is determined that the responsible medical personnel cannot provide immediate services to the patient;

[0026] The reply generation subunit is used to generate an immediate service virtual response voice when the responsible medical staff can provide immediate service to the patient, and add a green mark to the nursing task corresponding to the patient's call voice;

[0027] Otherwise, a waiting prompt voice is generated, and a red mark is added to the nursing task corresponding to the patient's calling voice, and the task allocation result of the nursing task corresponding to the patient's calling voice is waited for to be obtained by the task scheduling and distribution module;

[0028] After receiving the task allocation result, the service waiting time is determined based on the task allocation result, and a waiting service virtual answering voice is generated based on the service waiting time.

[0029] Preferably, in an intelligent medical-nurse-patient intercom system, the identity matching subunit includes:

[0030] The nursing level identification subunit is used to determine the nursing level of the calling patient based on the bed label and the preset nursing responsibility table, and to perform an initial assessment of the urgency of the patient's call based on the nursing level to obtain the initial urgency of the call;

[0031] Obtain patient needs, and based on patient need keywords, compare with a preset need level reference table to determine the need level corresponding to the patient needs and the call urgency corresponding to the need level;

[0032] Determine the urgency of the patient's call based on the initial urgency of the call and the urgency of the call;

[0033] When judging whether the urgency is greater than or equal to the preset value, judging that the patient's calling voice is an emergency calling voice, sending an emergency care notification to the responsible medical staff, and automatically opening the manual answering authority, receiving the manual answering voice sent by the responsible medical staff and sending it to the target voice calling device corresponding to the patient;

[0034] Otherwise, the nursing task corresponding to the patient's calling voice is sent to the task scheduling and distribution module.

[0035] Preferably, in an intelligent medical-nurse-patient call intercom system, the task scheduling and distribution module includes:

[0036] The task screening unit is used to identify the color of the received nursing task labels and select the responsible medical staff corresponding to the nursing tasks with green labels as the target medical staff;

[0037] The scheduling processing unit is used to obtain the patient call demand of the nursing task with a red label, screen multiple on-duty medical staff in the current department based on the call demand, and determine multiple candidate medical staff that meet the patient's needs;

[0038] Respectively obtain multiple assigned tasks corresponding to the medical staff to be selected, determine the predicted completion time corresponding to each assigned task based on the task prediction time comparison table, and calculate the task completion time corresponding to each medical staff to be selected based on the predicted completion time;

[0039] Sort by task completion time to obtain the minimum task completion time, and use the candidate medical staff corresponding to the minimum task completion time as the target medical staff;

[0040] The task allocation unit is used to allocate the nursing task to the target medical staff and update the allocated task queue corresponding to the target medical staff.

[0041] Preferably, in an intelligent medical-nurse-patient call intercom system, a nursing task feedback module includes:

[0042] The completion confirmation unit is used for the target medical staff to confirm the completion of the task after completing the total nursing task of the corresponding assigned task queue;

[0043] The list updating unit is used to delete the completed nursing tasks of the target medical staff based on the task completion confirmation result, and complete the automatic update of the assigned task queue.

[0044] The present invention provides an intelligent medical-nursing-patient calling intercom method, comprising:

[0045] Step 1: receiving a patient call voice sent by a voice call device based on a patient call voice module;

[0046] Step 2: Control the call virtual answering module to receive the patient's call voice, and perform voice recognition on the patient's call voice. According to the recognition result, generate a virtual reply voice and send it to the patient's call voice module, and simultaneously generate a nursing task and send it to the task scheduling and distribution module;

[0047] Step 3: Distribute the nursing tasks to the corresponding target medical staff through the task scheduling and distribution module;

[0048] Step 4: After the target medical staff completes the nursing task, they confirm the completion of the task based on the task completion feedback module.

[0049] Preferably, in an intelligent medical-patient call intercom method, step 2 specifically includes:

[0050] Receive the patient's call voice and determine whether the current manual answering channel is busy. If so, send the patient's call voice to the call receiving identification unit;

[0051] If not, wait for manual response, and after confirming the manual response, receive the manual response voice and send it to the patient call voice module;

[0052] If no one answers when the preset waiting time is reached, the patient's calling voice is sent to the call receiving identification unit;

[0053] Based on the preset speech recognition model, the patient's calling voice is recognized to determine the patient's calling needs;

[0054] According to the patient's call needs and the actual working situation of relevant medical staff, a virtual response voice is generated and returned to the patient's call voice module.

[0055] At the same time, nursing tasks are generated according to the patient's call needs and sent to the task scheduling and distribution module.

[0056] Preferably, in an intelligent medical-patient call intercom method, according to the patient's call requirements and in combination with the actual working conditions of relevant medical staff, a virtual answer voice is generated and returned to the patient's call voice module, including:

[0057] Based on the bed tag carried by the patient's voice call, a query is made in the preset nursing responsibility table to determine the responsible medical staff corresponding to the patient;

[0058] Acquire the current task allocation status of the responsible medical staff, and when the current task allocation status is idle, determine that the responsible medical staff can provide immediate service to the patient;

[0059] Otherwise, it is determined that the responsible medical personnel cannot provide immediate services to the patient;

[0060] When the responsible medical staff can provide immediate service to the patient, a virtual response voice for immediate service is generated, and a green mark is added to the nursing task corresponding to the patient's call voice;

[0061] Otherwise, a waiting prompt voice is generated, and a red mark is added to the nursing task corresponding to the patient's calling voice, and the task allocation result of the nursing task corresponding to the patient's calling voice is waited for to be obtained by the task scheduling and distribution module;

[0062] After receiving the task allocation result, the service waiting time is determined based on the task allocation result, and a waiting service virtual answering voice is generated based on the service waiting time.

[0063] Compared with the prior art, the present invention has at least the following beneficial effects:

[0064] The present invention receives the patient call voice sent by the voice call device through the patient call voice module, and sends the reply voice to the corresponding voice call device for call answering to realize the communication between medical staff and patients, thereby improving the communication efficiency between medical staff and patients; after receiving the patient call voice, the patient call voice is voice recognized, and according to the recognition result, a virtual reply voice is generated and sent to the patient call voice module, and a nursing task is simultaneously generated and sent to the task scheduling and distribution module, thereby realizing the synchronous reply to multiple patient calls and also avoiding the problem that no one in the nursing station has no way to reply to the patient calls in time; then the nursing tasks are distributed to the corresponding target medical staff through the task scheduling and distribution module, thereby realizing the automatic allocation of nursing tasks, realizing targeted services, and effectively improving service efficiency and treatment; finally, after completing the nursing task, the target medical staff confirms the completion of the task through the nursing task feedback module, thereby providing a basis for the allocation of nursing tasks. The present invention realizes the intelligent management of patient call services, and adopts voice recognition to automatically identify the patient's calling voice and determine the patient's needs. It can not only support online communication between patients and medical staff, but also support virtual replies according to the patient's needs when multiple patients call at the same time or no one answers the patient's call, ensuring that each call of the patient is answered in time, improving the patient's service experience, and automatically allocating medical staff to provide services according to the patient's needs, effectively improving service efficiency and quality.

[0065] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures specifically pointed out in this application document.

[0066] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0067] The accompanying drawings are used to provide a 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 of the present invention. In the accompanying drawings:

[0068] Figure 1 A schematic diagram of an intelligent medical-nurse-patient intercom system according to the present invention;

[0069] Figure 2A schematic diagram of a patient call voice module of an intelligent medical-nurse-patient call intercom system of the present invention;

[0070] Figure 3 A schematic diagram of a virtual answering module for calling a smart medical-nurse-patient intercom system of the present invention;

[0071] Figure 4 A schematic diagram of a task scheduling and distribution module of an intelligent medical-nurse-patient call intercom system of the present invention;

[0072] Figure 5 A schematic diagram of a nursing task feedback module of an intelligent medical-nurse-patient call intercom system of the present invention;

[0073] Figure 6 The present invention is a flow chart of an intelligent medical-nurse-patient calling intercom method. DETAILED DESCRIPTION

[0074] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0075] Embodiment 1:

[0076] The present invention provides an intelligent medical-nurse-patient call intercom system. Figure 1 As shown, including:

[0077] A patient call voice module, used for receiving a patient call voice sent by a voice call device, and sending a reply voice to a corresponding voice call device for call answering;

[0078] The reply voice includes virtual reply voice and artificial reply voice;

[0079] The call virtual answering module is used to receive the patient's call voice and perform voice recognition on the patient's call voice. According to the recognition result, a virtual answering voice is generated and sent to the patient's call voice module, and a nursing task is simultaneously generated and sent to the task scheduling and distribution module;

[0080] Task scheduling and distribution module, used to distribute nursing tasks to corresponding target medical staff;

[0081] The nursing task feedback module is used for the target medical staff to confirm the completion of the task after completing the nursing task.

[0082] The beneficial effects of the above technical solution are as follows: the present invention receives the patient call voice sent by the voice call device through the patient call voice module, and sends the reply voice to the corresponding voice call device for call answering to realize the communication between medical staff and patients, thereby improving the communication efficiency between medical staff and patients; after receiving the patient call voice, the patient call voice is recognized, and according to the recognition result, a virtual reply voice is generated and sent to the patient call voice module, and a nursing task is simultaneously generated and sent to the task scheduling and distribution module, thereby realizing the synchronous reply to multiple patient calls and avoiding the problem that there is no one in the nursing station and there is no way to respond to the patient calls in time; then the nursing tasks are distributed to the corresponding target medical staff through the task scheduling and distribution module, thereby realizing the automatic allocation of nursing tasks, realizing targeted services, and effectively improving service efficiency and treatment; finally, after completing the nursing task, the target medical staff confirms the completion of the task through the nursing task feedback module, thereby providing a basis for the allocation of nursing tasks. The present invention realizes the intelligent management of patient call services, and adopts voice recognition to automatically identify the patient's calling voice and determine the patient's needs. It can not only support online communication between patients and medical staff, but also support virtual replies according to the patient's needs when multiple patients call at the same time or no one answers the patient's call, ensuring that each call of the patient is answered in time, improving the patient's service experience, and automatically allocating medical staff to provide services according to the patient's needs, effectively improving service efficiency and quality.

[0083] Embodiment 2:

[0084] Based on Example 1, the patient calls the voice module, such as Figure 2 As shown, including:

[0085] A voice collection unit, used to collect the patient's calling voice after the control button of the voice calling device is pressed;

[0086] A voice sending unit, used to add a bed tag to the collected patient call voice and send it to the call virtual answering module;

[0087] A reply receiving unit, used for receiving a virtual reply voice sent by a calling virtual reply module, or a manual reply voice sent by a calling manual reply module;

[0088] The voice sending unit is used to identify the target voice calling device based on the bed label, and send the virtual reply voice or the artificial reply voice to the target voice calling device for reply voice playback to complete the call answering.

[0089] The beneficial effects of the above technical solution are as follows: the present invention realizes the collection of patient call voices through the voice collection unit and the voice sending unit, and at the same time realizes the call voice marking to provide a basis for accurately sending voice replies in the process of synchronous virtual replies for multiple calls; and realizes accurate replies (manual replies or virtual replies) to patient call voices through the reply receiving unit and the voice sending unit.

[0090] Embodiment 3:

[0091] Based on Example 1, a virtual answering module is called, such as Figure 3 As shown, including:

[0092] A call waiting unit is used to receive the patient's call voice and determine whether the current manual answering channel is busy. If so, the patient's call voice is sent to the call receiving identification unit;

[0093] If not, wait for manual response, and after confirming the manual response, receive the manual response voice and send it to the patient call voice module;

[0094] If no one answers when the preset waiting time is reached, the patient's calling voice is sent to the call receiving identification unit;

[0095] A call recognition unit, used to perform voice recognition on the patient's call voice based on a preset voice recognition model to determine the patient's call needs;

[0096] The call virtual reply unit is used to generate a virtual response voice and return it to the patient call voice module based on the patient's call needs and the actual work situation of relevant medical staff.

[0097] The demand service processing unit is used to generate nursing tasks according to the patient's call needs and send them to the task scheduling and distribution module.

[0098] The beneficial effects of the above technical solution are as follows: the present invention realizes the detection of the status of the manual reply channel through the call identification waiting unit, and according to the detection results, the patient's call that cannot be answered manually in time is promptly sent to the call identification unit for voice recognition processing to determine the patient's call needs, and then through the call virtual reply unit according to the patient's call needs and the actual work situation of the relevant medical staff, a virtual response voice is generated and returned to the patient call voice module, ensuring that the patient's needs are received by the medical staff in time and the patient's call is answered in time, effectively improving the efficiency of answering patient calls, and finally, the demand service processing unit generates nursing tasks according to the patient's call needs and sends them to the task scheduling and distribution module, ensuring that the patient's call needs are recorded to avoid the patient's needs being missed, and also providing a basis for the allocation of nursing tasks.

[0099] Embodiment 4:

[0100] Based on the third embodiment, calling the virtual reply unit includes:

[0101] The identity matching subunit is used to query the preset nursing responsibility table based on the bed tag carried by the patient's call voice to determine the responsible medical staff corresponding to the patient;

[0102] A status confirmation unit, used to obtain the current task allocation status of the responsible medical staff, and when the current task allocation status is idle, determine that the responsible medical staff can provide immediate service to the patient;

[0103] Otherwise, it is determined that the responsible medical personnel cannot provide immediate services to the patient;

[0104] The reply generation subunit is used to generate an immediate service virtual response voice when the responsible medical staff can provide immediate service to the patient, and add a green mark to the nursing task corresponding to the patient's call voice;

[0105] Otherwise, a waiting prompt voice is generated, and a red mark is added to the nursing task corresponding to the patient's calling voice, and the task allocation result of the nursing task corresponding to the patient's calling voice is waited for to be obtained by the task scheduling and distribution module;

[0106] After receiving the task allocation result, the service waiting time is determined based on the task allocation result, and a waiting service virtual answering voice is generated based on the service waiting time.

[0107] In this embodiment, the preset nursing responsibility table refers to a table generated based on the bed number, ward number and responsible medical staff corresponding to the ward determined during the patient's hospitalization bed allocation process, which includes all patients with beds in the patient's department.

[0108] In this embodiment, the current task allocation status includes idle, serving and off duty, where the idle status means that the medical staff currently has no nursing tasks to perform. This status will automatically change to serving during a fixed time period every day (such as the infusion time period (8:30-9:00, 14:00-14:30 and 19:30-20:00)), and after the fixed time period, the status will be updated according to the content of the currently assigned task queue of the medical staff; when the medical staff takes leave or takes a rest, the corresponding current task allocation status will automatically change to off duty.

[0109] In this embodiment, the service waiting time refers to the waiting time that a patient needs to wait for a corresponding target medical staff to arrive at the corresponding ward after making a call.

[0110] The beneficial effects of the above technical solution: The present invention determines the corresponding relationship between the calling patient and the responsible medical staff through the identity matching unit, and then confirms the task allocation status of the responsible medical staff of the patient corresponding to the patient's calling voice through the status confirmation unit, and preferentially allocates the nursing task of the called patient to the corresponding responsible medical staff. When the responsible medical staff has a task, a virtual response voice is generated according to the task allocation result through the reply generation subunit, and the service waiting time basis provided to the patient is ensured in the process of ensuring timely reply, which is conducive to soothing the patient's emotions. At the same time, the principle of the fastest nursing service is completed through the nursing task scheduling allocation, which effectively improves the efficiency of nursing services and treatment. Adding color labels to nursing staff provides a basis for the rapid allocation of nursing tasks, which is conducive to improving the efficiency of nursing task allocation.

[0111] Embodiment 5:

[0112] Based on Example 4, the identity matching subunit includes:

[0113] The nursing level identification subunit is used to determine the nursing level of the calling patient based on the bed label and the preset nursing responsibility table, and to perform an initial assessment of the urgency of the patient's call based on the nursing level to obtain the initial urgency of the call;

[0114] Obtain patient needs, and based on patient need keywords, compare with a preset need level reference table to determine the need level corresponding to the patient needs and the call urgency corresponding to the need level;

[0115] Determine the urgency of the patient's call based on the initial urgency of the call and the urgency of the call;

[0116] When judging whether the urgency is greater than or equal to the preset value, judging that the patient's calling voice is an emergency calling voice, sending an emergency care notification to the responsible medical staff, and automatically opening the manual answering authority, receiving the manual answering voice sent by the responsible medical staff and sending it to the target voice calling device corresponding to the patient;

[0117] Otherwise, the nursing task corresponding to the patient's calling voice is sent to the task scheduling and distribution module.

[0118] In this embodiment, the nursing levels include special nursing, primary nursing, secondary nursing and tertiary nursing. Each nursing level corresponds to a different call urgency, with values ​​ranging from (0, 1], and the initial call urgency decreases from special nursing to tertiary nursing.

[0119] In this embodiment, the preset demand level reference table refers to the level corresponding to the urgency of the service demand allocated according to the common call service content of the patient and the call urgency corresponding to the level. The urgency level is in the range of (0, 1]. For example, shortness of breath or weak breathing, large area bleeding, etc. are first-level demands; dressing change care, a small amount of bleeding, abnormal oxygen outflow, etc. are second-level demands; infusion dressing change, infusion needle removal, etc. are third-level demands. The call urgency level decreases abnormally from the first-level demand to the third-level demand.

[0120] In this embodiment, the urgency refers to the sum of the initial urgency of the call and the urgency of the call.

[0121] The beneficial effects of the above technical solution are as follows: the present invention evaluates the urgency of the patient's calling voice according to the nursing level corresponding to the patient and the demand level corresponding to the patient's needs. When the patient's calling voice is an emergency call voice, an emergency care notification is sent to the responsible medical staff, and the manual answering authority is automatically enabled. The manual answering voice sent by the responsible medical staff is received and sent to the target voice calling device corresponding to the patient, ensuring that the emergency call can be notified to the responsible medical staff in time, thereby ensuring that the emergency calling patient can receive timely treatment and avoid delays in emergency treatment; when the patient's calling voice is an ordinary call, the nursing task corresponding to the patient's calling voice is sent to the task scheduling and distribution module for task allocation, which is conducive to maintaining a good service order, ensuring that early calling patients can receive corresponding nursing treatment in time, and effectively improving the quality of patient call services.

[0122] Embodiment 6:

[0123] Based on Example 1, the task scheduling and distribution module, such as Figure 4 As shown, including:

[0124] The task screening unit is used to identify the color of the received nursing task labels and select the responsible medical staff corresponding to the nursing tasks with green labels as the target medical staff;

[0125] The scheduling processing unit is used to obtain the patient call demand of the nursing task with a red label, screen multiple on-duty medical staff in the current department based on the call demand, and determine multiple candidate medical staff that meet the patient's needs;

[0126] Respectively obtain multiple assigned tasks corresponding to the medical staff to be selected, determine the predicted completion time corresponding to each assigned task based on the task prediction time comparison table, and calculate the task completion time corresponding to each medical staff to be selected based on the predicted completion time;

[0127] Sort by task completion time to obtain the minimum task completion time, and use the candidate medical staff corresponding to the minimum task completion time as the target medical staff;

[0128] The task allocation unit is used to allocate the nursing task to the target medical staff and update the allocated task queue corresponding to the target medical staff.

[0129] In this embodiment, the medical staff to be selected refers to the medical staff who are screened from all the medical staff working in the department where the patient is located and can provide services corresponding to the patient's needs.

[0130] In this embodiment, the task prediction time comparison table refers to a list that is automatically calculated and updated based on the feedback results of the medical staff's task completion, and contains the average time required to complete various patient needs (i.e., the predicted completion time).

[0131] In this embodiment, the assigned tasks refer to the nursing tasks that have been assigned to the medical staff.

[0132] In this embodiment, the task completion time refers to the total estimated completion time of all the assigned tasks of the candidate medical staff.

[0133] The beneficial effects of the above technical solution are as follows: the present invention performs a preliminary classification of nursing tasks according to color labels through a task screening unit, and quickly confirms the target medical staff corresponding to the nursing tasks with green labels, which is beneficial to improving the efficiency of nursing task allocation; then, the nursing tasks with red labels are allocated according to the principle of fastest completion through a scheduling processing unit to determine the target medical staff; finally, the nursing tasks are allocated to the target medical staff through a task allocation unit, and the allocated task queue corresponding to the target medical staff is updated to realize the automatic allocation of nursing tasks and the targeted services of medical staff, which is beneficial to improving the efficiency of nursing services.

[0134] Embodiment 7:

[0135] Based on Example 6, the task scheduling and distribution module, such as Figure 4 As shown, it also includes:

[0136] A data synchronization unit is used to obtain the assigned bed number corresponding to each assigned task in the assigned task queue corresponding to the target medical staff, and obtain the ward distribution map corresponding to the current department;

[0137] Based on the ward distribution map, according to the assigned task queue, determine the service route between the assigned beds, and calculate the assigned task movement time of the assigned task queue corresponding to the target medical staff according to the ward location relationship corresponding to the assigned bed number in the service route and the preset speed;

[0138] Based on the minimum task completion time and the allocated task movement time, the service waiting time is determined and sent to the reply generation subunit.

[0139] The beneficial effects of the above technical solution: The present invention determines the service route corresponding to the service queue and the time required for the target medical staff to move on the service route through the beds corresponding to each assigned task in the assigned task queue of the target medical staff and the ward relationship corresponding to the bed, and combines the minimum task completion time to provide a more accurate time for patients waiting to call for service.

[0140] Embodiment 8:

[0141] Based on Example 6, the task scheduling and distribution module includes:

[0142] The task merging subunit is used to determine the bed number of the same room corresponding to the calling bed of the nursing task with a red label, and based on the bed number of the same room, screen all the assigned tasks corresponding to all the medical staff to be selected to determine whether there is a call for the same room;

[0143] If so, determine whether the patient needs corresponding to the same-room call and the nursing task with the red label are consistent. If they are consistent, merge the nursing task with the red label with the same-room call;

[0144] If they are inconsistent, the call urgency level corresponding to the nursing task with the red label is obtained to determine whether the call urgency level is less than or equal to a preset threshold. If so, the nursing task with the red label is merged with the call for the same room;

[0145] Otherwise, it is determined that the nursing task with the red label continues to be assigned.

[0146] In this embodiment, the lower the urgency of the call, the shorter the nursing service time.

[0147] In this embodiment, the task scheduling and distribution module also includes: a task reallocation subunit, which is used to reallocate the multiple allocated nursing tasks to the idle medical staff according to patient needs when there are idle medical staff in the current department and the non-idle medical staff have multiple allocated nursing tasks, thereby shortening the patient service waiting time and providing patients with better and faster nursing services.

[0148] The beneficial effects of the above technical solution are as follows: the same-task merging subunit of the present invention combines the nursing tasks with the same requirements or less time-consuming tasks in the same ward and assigns them to the same nursing staff, thus avoiding movement delays during the service process and helping to improve service efficiency.

[0149] Embodiment 9:

[0150] Based on Example 1, the nursing task feedback module, such as Figure 5 As shown, including:

[0151] The completion confirmation unit is used for the target medical staff to confirm the completion of the task after completing the total nursing task of the corresponding assigned task queue;

[0152] The list updating unit is used to delete the completed nursing tasks of the target medical staff based on the task completion confirmation result, and complete the automatic update of the assigned task queue.

[0153] Beneficial effects of the above technical solution: The present invention completes the completion confirmation of the assigned tasks of the target medical staff and the automatic update of the assigned task queue through the completion confirmation unit and the list update unit, which provides a basis for the task prediction time comparison table and the reallocation of nursing tasks.

[0154] Embodiment 10:

[0155] The present invention provides an intelligent medical-nursing-patient call intercom method, such as Figure 6 As shown, including:

[0156] Step 1: receiving the patient call voice sent by the voice call device based on the patient call voice module and waiting for a response;

[0157] Step 2: Control the call virtual answering module to receive the patient's call voice, and perform voice recognition on the patient's call voice. According to the recognition result, generate a virtual reply voice and send it to the patient's call voice module, and simultaneously generate a nursing task and send it to the task scheduling and distribution module;

[0158] Step 3: Distribute the nursing tasks to the corresponding target medical staff through the task scheduling and distribution module;

[0159] Step 4: After the target medical staff completes the nursing task, they confirm the completion of the task based on the task completion feedback module.

[0160] The beneficial effects of the above technical solution are as follows: the present invention receives the patient call voice sent by the voice call device through the patient call voice module, and sends the reply voice to the corresponding voice call device for call answering to realize the communication between medical staff and patients, thereby improving the communication efficiency between medical staff and patients; after receiving the patient call voice, the patient call voice is recognized, and according to the recognition result, a virtual reply voice is generated and sent to the patient call voice module, and a nursing task is simultaneously generated and sent to the task scheduling and distribution module, thereby realizing the synchronous reply to multiple patient calls and avoiding the problem that there is no one in the nursing station and there is no way to respond to the patient calls in time; then the nursing tasks are distributed to the corresponding target medical staff through the task scheduling and distribution module, thereby realizing the automatic allocation of nursing tasks, realizing targeted services, and effectively improving service efficiency and treatment; finally, after completing the nursing task, the target medical staff confirms the completion of the task through the nursing task feedback module, thereby providing a basis for the allocation of nursing tasks. The present invention realizes the intelligent management of patient call services, and adopts voice recognition to automatically identify the patient's calling voice and determine the patient's needs. It can not only support online communication between patients and medical staff, but also support virtual replies according to the patient's needs when multiple patients call at the same time or no one answers the patient's call, ensuring that each call of the patient is answered in time, improving the patient's service experience, and automatically allocating medical staff to provide services according to the patient's needs, effectively improving service efficiency and quality.

[0161] Embodiment 11:

[0162] On the basis of Example 10, step 2 specifically includes:

[0163] Receive the patient's call voice and determine whether the current manual answering channel is busy. If so, send the patient's call voice to the call receiving identification unit;

[0164] If not, wait for manual response, and after confirming the manual response, receive the manual response voice and send it to the patient call voice module;

[0165] If no one answers when the preset waiting time is reached, the patient's calling voice is sent to the call receiving identification unit;

[0166] Based on the preset speech recognition model, the patient's calling voice is recognized to determine the patient's calling needs;

[0167] According to the patient's call needs and the actual working situation of relevant medical staff, a virtual response voice is generated and returned to the patient's call voice module.

[0168] At the same time, nursing tasks are generated according to the patient's call needs and sent to the task scheduling and distribution module.

[0169] The beneficial effects of the above technical solution: the present invention realizes the detection of the status of the manual reply channel, and according to the detection results, timely performs voice recognition processing on the patient calls that cannot be answered manually in time, obtains the patient call needs, and then generates a virtual response voice based on the patient call needs and the actual work situation of the relevant medical staff. It returns the voice to the patient call voice module to ensure that the patient's needs are received by the medical staff in time and the patient's call is answered in time, effectively improving the efficiency of answering patient calls. Finally, the demand service processing unit generates nursing tasks according to the patient's call needs and sends them to the task scheduling and distribution module to ensure that the patient's call needs are recorded to avoid the omission of patient needs, and also provides a basis for the allocation of nursing tasks.

[0170] Embodiment 12:

[0171] On the basis of Example 11, according to the patient's call requirements and the actual working conditions of the relevant medical staff, a virtual answer voice is generated and returned to the patient's call voice module, including:

[0172] Based on the bed tag carried by the patient's voice call, a query is made in the preset nursing responsibility table to determine the responsible medical staff corresponding to the patient;

[0173] Acquire the current task allocation status of the responsible medical staff, and when the current task allocation status is idle, determine that the responsible medical staff can provide immediate service to the patient;

[0174] Otherwise, it is determined that the responsible medical personnel cannot provide immediate services to the patient;

[0175] When the responsible medical staff can provide immediate service to the patient, a virtual response voice for immediate service is generated, and a green mark is added to the nursing task corresponding to the patient's call voice;

[0176] Otherwise, a waiting prompt voice is generated, and a red mark is added to the nursing task corresponding to the patient's calling voice, and the task allocation result of the nursing task corresponding to the patient's calling voice is waited for to be obtained by the task scheduling and distribution module;

[0177] After receiving the task allocation result, the service waiting time is determined based on the task allocation result, and a waiting service virtual answering voice is generated based on the service waiting time.

[0178] The beneficial effects of the above technical solution: The present invention is based on the correspondence between the calling patient and the responsible medical staff, and then confirms the task allocation status of the responsible medical staff of the patient corresponding to the patient's calling voice, and preferentially allocates the nursing task of the called patient to the corresponding responsible medical staff. When the responsible medical staff has a task, a virtual response voice is generated according to the task allocation result. While ensuring a timely reply, the service waiting time basis provided to the patient is conducive to soothing the patient's emotions, and the principle of the fastest nursing service is completed through the scheduling and allocation of nursing tasks, which effectively improves the efficiency of nursing services and treatment. Adding color labels to nursing staff provides a basis for the rapid allocation of nursing tasks, which is conducive to improving the efficiency of nursing task allocation.

[0179] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. An intelligent medical-patient call intercom system, characterized in that: include: A patient call voice module, used for receiving a patient call voice sent by a voice call device, and sending a reply voice to a corresponding voice call device for call answering; The reply voice includes virtual reply voice and artificial reply voice; The call virtual answering module is used to receive the patient's call voice and perform voice recognition on the patient's call voice. According to the recognition result, a virtual answering voice is generated and sent to the patient's call voice module, and a nursing task is simultaneously generated and sent to the task scheduling and distribution module; Task scheduling and distribution module, used to distribute nursing tasks to corresponding target medical staff; Nursing task feedback module, used for target medical staff to confirm task completion after completing nursing tasks; Wherein, the calling virtual answering module comprises: a calling virtual answering unit; Wherein, the call virtual answering unit includes The reply generation subunit is used to generate an immediate service virtual response voice when the responsible medical staff can provide immediate service to the patient, and add a green mark to the nursing task corresponding to the patient's call voice; Otherwise, a waiting prompt voice is generated, and a red mark is added to the nursing task corresponding to the patient's calling voice, and the task allocation result of the nursing task corresponding to the patient's calling voice is waited for to be obtained by the task scheduling and distribution module; After receiving the task allocation result, determining the service waiting time based on the task allocation result, and generating a waiting service virtual answering voice based on the service waiting time; Among them, the task scheduling and distribution module includes: The task screening unit is used to identify the color of the received nursing task labels and select the responsible medical staff corresponding to the nursing tasks with green labels as the target medical staff; The scheduling processing unit is used to obtain the patient call demand of the nursing task with a red label, screen multiple on-duty medical staff in the current department based on the call demand, and determine multiple candidate medical staff that meet the patient's needs; Respectively obtain multiple assigned tasks corresponding to the medical staff to be selected, determine the predicted completion time corresponding to each assigned task based on the task prediction time comparison table, and calculate the task completion time corresponding to each medical staff to be selected based on the predicted completion time; Sort by task completion time to obtain the minimum task completion time, and use the candidate medical staff corresponding to the minimum task completion time as the target medical staff; The task allocation unit is used to allocate the nursing task to the target medical staff and update the allocated task queue corresponding to the target medical staff.

2. According to claim 1, the intelligent medical-nurse-patient intercom system is characterized in that: Patient call voice module, including: A voice collection unit, used to collect the patient's calling voice after the control button of the voice calling device is pressed; A voice sending unit, used to add a bed tag to the collected patient call voice and send it to the call virtual answering module; A reply receiving unit, used for receiving a virtual reply voice sent by a calling virtual reply module, or a manual reply voice sent by a calling manual reply module; The voice sending unit is used to identify the target voice calling device based on the bed label, and send the virtual reply voice or the artificial reply voice to the target voice calling device for reply voice playback to complete the call answering.

3. According to claim 1, the intelligent medical-nurse-patient intercom system is characterized in that: Call virtual answering module, including: A call identification waiting unit is used to receive the patient's call voice and determine whether the current manual answering channel is busy. If so, the patient's call voice is sent to the call receiving identification unit; If not, wait for manual response, and after confirming the manual response, receive the manual response voice and send it to the patient call voice module; If no one answers when the preset waiting time is reached, the patient's calling voice is sent to the call receiving identification unit; A call receiving recognition unit, used to perform voice recognition on the patient's call voice based on a preset voice recognition model to determine the patient's call demand; The call virtual reply unit is used to generate a virtual answer voice and return it to the patient call voice module according to the patient's call needs and the actual working conditions of the relevant medical staff; The demand service processing unit is used to generate nursing tasks according to the patient's call needs and send them to the task scheduling and distribution module.

4. According to claim 3, the intelligent medical-nurse-patient intercom system is characterized in that: Call Virtual Answering Unit, including: The identity matching subunit is used to query the preset nursing responsibility table based on the bed tag carried by the patient's call voice to determine the responsible medical staff corresponding to the patient; A status confirmation unit, used to obtain the current task allocation status of the responsible medical staff, and when the current task allocation status is idle, determine that the responsible medical staff can provide immediate service to the patient; Otherwise, it is determined that the responsible medical personnel cannot provide immediate service to the patient.

5. According to claim 4, the intelligent medical-nurse-patient intercom system is characterized in that: Identity matching subunit, including: The nursing level identification subunit is used to determine the nursing level of the calling patient based on the bed label and the preset nursing responsibility table, and to perform an initial assessment of the urgency of the patient's call based on the nursing level to obtain the initial urgency of the call; Obtain patient needs, and based on patient need keywords, compare with a preset need level reference table to determine the need level corresponding to the patient needs and the call urgency corresponding to the need level; Determine the urgency of the patient's call based on the initial urgency of the call and the urgency of the call; When judging whether the urgency is greater than or equal to the preset value, judging that the patient's calling voice is an emergency calling voice, sending an emergency care notification to the responsible medical staff, and automatically opening the manual answering authority, receiving the manual answering voice sent by the responsible medical staff and sending it to the target voice calling device corresponding to the patient; Otherwise, the nursing task corresponding to the patient's calling voice is sent to the task scheduling and distribution module.

6. The intelligent medical-nurse-patient intercom system according to claim 1 is characterized in that: Nursing task feedback module, including: The completion confirmation unit is used for the target medical staff to confirm the completion of the task after completing the total nursing task of the corresponding assigned task queue; The list updating unit is used to delete the completed nursing tasks of the target medical staff based on the task completion confirmation result, and complete the automatic update of the assigned task queue.

7. An intelligent medical-patient call intercom method, characterized in that: include: Step 1: receiving a patient call voice sent by a voice call device based on a patient call voice module; Step 2: Control the call virtual answering module to receive the patient's call voice, and perform voice recognition on the patient's call voice. According to the recognition result, generate a virtual reply voice and send it to the patient's call voice module, and simultaneously generate a nursing task and send it to the task scheduling and distribution module; Step 3: Distribute the nursing tasks to the corresponding target medical staff through the task scheduling and distribution module; Step 4: After the target medical staff completes the nursing task, they confirm the task completion based on the task completion feedback module; Among them, step 3: distribute the nursing tasks to the corresponding target medical staff through the task scheduling and distribution module, specifically including: Perform color recognition on the received nursing task labels, and select the responsible medical staff corresponding to the nursing tasks with green labels as the target medical staff; Obtain the patient call demand for red-label nursing tasks, screen multiple on-duty medical staff in the current department based on the call demand, and determine multiple candidate medical staff that meet the patient's needs; Respectively obtain multiple assigned tasks corresponding to the medical staff to be selected, determine the predicted completion time corresponding to each assigned task based on the task prediction time comparison table, and calculate the task completion time corresponding to each medical staff to be selected based on the predicted completion time; Sort by task completion time to obtain the minimum task completion time, and use the candidate medical staff corresponding to the minimum task completion time as the target medical staff; The task allocation unit is used to allocate the nursing task to the target medical staff and update the allocated task queue corresponding to the target medical staff.

8. The intelligent medical-nursing-patient intercom method according to claim 7 is characterized in that: Step 2 specifically includes: Receive the patient's call voice and determine whether the current manual answering channel is busy. If so, send the patient's call voice to the call receiving identification unit; If not, wait for manual response, and after confirming the manual response, receive the manual response voice and send it to the patient call voice module; If no one answers when the preset waiting time is reached, the patient's calling voice is sent to the call receiving identification unit; Based on the preset speech recognition model, the patient's calling voice is recognized to determine the patient's calling needs; According to the patient's call needs and the actual working conditions of the relevant medical staff, a virtual answering voice is generated and returned to the patient's call voice module; At the same time, nursing tasks are generated according to the patient's call needs and sent to the task scheduling and distribution module.

9. The intelligent medical-nursing-patient intercom method according to claim 8, characterized in that: According to the patient's call needs and the actual working conditions of the relevant medical staff, a virtual answering voice is generated and returned to the patient's call voice module, including: Based on the bed tag carried by the patient's voice call, a query is made in the preset nursing responsibility table to determine the responsible medical staff corresponding to the patient; Acquire the current task allocation status of the responsible medical staff, and when the current task allocation status is idle, determine that the responsible medical staff can provide immediate service to the patient; Otherwise, it is determined that the responsible medical personnel cannot provide immediate services to the patient; When the responsible medical staff can provide immediate service to the patient, a virtual response voice for immediate service is generated, and a green mark is added to the nursing task corresponding to the patient's call voice; Otherwise, a waiting prompt voice is generated, and a red mark is added to the nursing task corresponding to the patient's calling voice, and the task allocation result of the nursing task corresponding to the patient's calling voice is waited for to be obtained by the task scheduling and distribution module; After receiving the task allocation result, the service waiting time is determined based on the task allocation result, and a waiting service virtual answering voice is generated based on the service waiting time.

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