Intelligent nursing and treatment interaction system based on medical talkback

Abstract

The invention discloses an intelligent nursing and treatment interaction system based on medical care talkback. The intelligent nursing and treatment interaction system comprises a data acquisition and input module, an MEWS scoring and early warning mechanism module, a nursing task reminding and linkage module, a task execution and feedback closed loop module, an abnormal response processing module and a communication and integrated service module. According to the invention, through comprehensive integration of patient physical sign monitoring, MEWS scoring early warning, nursing task reminding and multi-terminal linkage, the nursing quality and efficiency can be significantly improved, through real-time perception of the patient state, automatic collection and analysis of physical sign data are realized, the error rate of manual recording is reduced, the workload of nurses is reduced, and the working efficiency of the nurses is improved. Meanwhile, timely early warning of abnormal conditions and task closed-loop management are achieved, information transmission errors are reduced, the response speed of a nursing team is increased, in addition, communication and cooperation between medical care are enhanced through multi-terminal cooperation and patient interaction functions, and the nursing experience of patients is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of medical-nurse intercom, and in particular to an intelligent nursing and treatment interaction system based on medical-nurse intercom. Background Art

[0002] In traditional ward care, the linkage between medical intercom and nursing treatment mainly relies on manual operation, which has many limitations. In the prior art, nurses obtain patient needs through patient call bells or manual ward rounds, but the information transmission is not efficient enough and emergency situations cannot be quickly identified. At the same time, reminders and abnormal warnings of nursing tasks rely on personal experience and paper records, which are prone to omissions or delayed processing. To solve the above problems, this application proposes an intelligent nursing and treatment interaction system based on medical intercom. Summary of the invention

[0003] Based on the technical problems existing in the background technology, the present invention proposes an intelligent nursing and treatment interaction system based on medical and nursing intercom.

[0004] The present invention proposes an intelligent nursing and treatment interaction system based on medical-nurse intercom, which includes a data acquisition and input module, a MEWS scoring and early warning mechanism module, a nursing task reminder and linkage module, a task execution and feedback closed-loop module, an abnormal response processing module, and a communication and integration service module;

[0005] The data acquisition and input module is connected to the nursing task reminder and linkage module and the MEWS scoring and early warning mechanism module, the nursing task reminder and linkage module is connected to the task execution and feedback closed-loop module and the abnormal response processing module, and the abnormal response processing module is connected to the communication and integration service module.

[0006] Preferably, the data acquisition and input module is used to obtain the patient's basic information, medical history records and medical order data from the HIS (hospital information system) database and the health record database, and is also responsible for collecting the patient's vital signs data in real time from IoT devices (heart rate monitor, blood oximeter, thermometer), including heart rate, blood pressure, body temperature, respiratory rate. The ward extension allows patients to actively input dining feedback and pain assessment information, and transmits these data and the patient's actively input dining feedback and pain assessment information to the central server through HTTP API and MQTT protocol. The central server stores the data in a high-concurrency database, and performs preliminary cleaning and formatting of the data to provide support for subsequent analysis and linkage.

[0007] Preferably, the MEWS scoring and early warning mechanism module is responsible for receiving and processing the patient's vital sign data transmitted by the data acquisition and input module;

[0008] The specific operation logic steps of the MEWS scoring and early warning mechanism module are as follows:

[0009] S101: Data reception and analysis: The MEWS scoring and early warning mechanism module receives and analyzes the vital sign data transmitted from the data acquisition and input module to ensure the accuracy and completeness of the data;

[0010] S102: MEWS score calculation: Based on the physical sign data received in S101, the preset MEWS (Modified Early Warning Score) score standard is calculated to obtain the patient's MEWS score, which reflects the patient's current physiological state and risk level;

[0011] S103: Warning triggering and classification: The MEWS scoring and warning mechanism module compares the calculated MEWS score with the preset threshold. When the MEWS score exceeds the set threshold, the warning is automatically triggered and classified according to the severity of the score (including low-level warning and high-level warning);

[0012] S104: Generation and transmission of warning information: According to the warning level in S103, corresponding warning information is generated, including patient information, specific abnormal indicators and recommended operation steps, and the warning information is sent to the nurse station management machine through the SIP protocol. At the same time, the nursing whiteboard is updated to highlight the warning information to ensure that the nurse can notice it in time and take corresponding measures;

[0013] S105: Call intercom linkage: When the warning is triggered, a point-to-point or group call is initiated through the SIP protocol according to the warning level, and the relevant responsible nurse or nursing team is notified for processing. The call content includes the patient's room number, specific condition summary and detailed data of abnormal physical signs, so that the nurse can quickly understand the situation and respond.

[0014] Preferably, in said S102, the formula used to calculate the MEWS score is MEWS=HR 分值 +RR 分值 +BP 分植 +Temp 分值 +AVPU 分值 , where HR (heart rate) is measured in beats / minute, RR (respiratory rate) is measured in beats / minute, BP (blood pressure) is systolic pressure in mmHg, Temp (body temperature) is in degrees Celsius, and AVPU (state of consciousness) is divided into four levels: Alert, Voice, Pain, and Unresponsive.

[0015] Preferably, in S103, the system presets the MEWS threshold according to the actual situation of the hospital, the threshold of the low-level warning is MEWS=3 to MEWS=5, and the threshold of the high-level warning is MEWS≥6;

[0016] In S104, the patient information includes name, room number and bed number, the specific abnormal indicators include physical sign parameters and corresponding score details, and the recommended operation steps are to clearly prompt the responsible nurse to take preliminary treatment measures (including reviewing the data and rushing to the ward immediately);

[0017] In S105, the intercom type is differentiated according to the warning level. In case of low-level warning, a point-to-point call is made to directly contact the responsible nurse. After the nurse answers the call, she can directly respond through the intercom terminal and mark the task status. If there is no response, the system will automatically redial or notify other nurses. Notifications that are not responded within the set time will be automatically upgraded to high-level warnings. In case of high-level warnings, group calls are made to notify the relevant nursing team.

[0018] Preferably, the nursing task reminder and linkage module is used to automatically generate a daily nursing task list based on the patient's electronic medical record (EMR), nursing plan and doctor's instructions, and the list content includes the nursing task type (drug management, vital sign monitoring, cleaning care), task time node (specific execution time) and task priority (ordinary, emergency, special care), and can also dynamically adjust the task order and priority in combination with the patient's real-time status (abnormal vital signs, MEWS score);

[0019] Before the task is executed, the system sends reminders through the nursing whiteboard, the nurse station management machine and the ward extension. The reminders include basic information (patient name, room number, bed number), task details (type of nursing task, operation steps and expected completion time) and priority prompts (color and icon indicate the urgency of the task);

[0020] In addition, the nursing whiteboard uses WebSocket technology to update the task list, patient status and priority information in real time. The nursing whiteboard maintains a connection with the central server through WebSocket+MQ queue technology. The task status of the nursing whiteboard includes "to be executed", "in progress", "completed" and "overdue". In priority management, urgent tasks are marked with a striking color (red), and completed tasks are automatically archived to reduce interference information. The nursing whiteboard provides a visual display of the patient's overall status, including vital sign data trends and MEWS score changes, which helps nurses quickly judge patient risks.

[0021] The nurse station management machine provides a task management interface, which supports task confirmation, priority adjustment and one-touch intercom. The task management interface provides a detailed task viewing function, including task time, execution details and precautions, and supports task status updates (including "completed" and "need support"). After completion, it will be automatically synchronized to the nursing whiteboard and ward extension. Nurses can manually adjust the task sequence or add new tasks according to the actual situation of the patient. In addition, they can communicate with the ward extension or nursing team in real time through one-touch intercom to solve problems in task execution.

[0022] The ward extension provides patients with nursing task information and intercom functions, supporting real-time communication between patients and nurses. The nursing task information displayed includes task type, execution time and nursing staff name. Patients can provide feedback on task completion through the extension (including "already eaten", "pain relief"). When implementing the intercom function, patients can use the SIP intercom function to contact nurses, make requests or confirm task details. The intercom information is synchronized to the nurse station management machine in real time, and nurses can respond quickly to patient needs.

[0023] Preferably, the task execution and feedback closed-loop module is used for task execution, recording and closed-loop management. After completing the task, the nurse records the task completion status through the nurse station management machine or mobile terminal. The task completion information is synchronized to the central server, and the nursing whiteboard and ward extension display are updated in real time. The system automatically archives the completed nursing task records to ensure the integrity and traceability of the patient's nursing history. For unfinished or unresponded tasks, the system issues multiple reminders until the task is confirmed to be completed.

[0024] Preferably, the communication and integration service module is responsible for transmitting various information in the system, including intercom requests, nursing task status updates, and vital sign data. The abnormal response processing module identifies unresponded intercom requests and delayed nursing tasks from these transmitted information. When the abnormal response processing module identifies unresponded intercom requests and delayed nursing tasks, the abnormal response processing module triggers a secondary warning mechanism to automatically initiate a secondary warning.

[0025] After determining that a secondary warning is required, the exception response processing module will send a secondary warning message to the relevant nurses through the nurse station management machine or the nursing whiteboard, and update the task priority. After receiving the secondary warning, the nurse needs to feedback the processing status to the exception response processing module through the nurse station management machine or the nursing whiteboard so that the exception response processing module can track the processing progress of the task.

[0026] Compared with the prior art, the present invention has the following beneficial effects:

[0027] The present invention can significantly improve the quality and efficiency of nursing by comprehensively integrating patient vital sign monitoring, MEWS score warning, nursing task reminder and multi-terminal linkage. It can realize automatic collection and analysis of vital sign data by real-time perception of patient status, reduce the error rate of manual recording, and reduce the workload of nurses. At the same time, it realizes timely warning of abnormal situations and closed-loop management of tasks, reduces information transmission errors, and improves the response speed of the nursing team. In addition, multi-terminal collaboration and patient interaction functions strengthen communication and cooperation between medical staff and improve patients' nursing experience. Relying on advanced Internet of Things and communication technologies, it transforms nursing work from passive response to active management, effectively solves the defects in the traditional model, and promotes the intelligence and scientificization of nursing work. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 A block diagram of an intelligent nursing and treatment interaction system based on medical and nursing intercom proposed by the present invention;

[0029] Figure 2 A flowchart of a MEWS scoring and early warning mechanism module in an intelligent nursing and treatment interaction system based on medical-nurse intercom proposed by the present invention;

[0030] Figure 3 This is a flow chart of a nursing task reminder and linkage module in an intelligent nursing and treatment interactive system based on medical-nurse intercom proposed by the present invention. DETAILED DESCRIPTION

[0031] The present invention will be further explained below in conjunction with specific embodiments.

[0032] Example

[0033] Reference Figure 1-3 ,This embodiment proposes an intelligent nursing and treatment interaction system based on ,doctor-nurse talkback, including a data acquisition and input module, a MEWS scoring and warning mechanism ,module, a nursing task reminder and linkage module, a task execution and feedback closed-loop ,module, an abnormal response processing module, and a communication and ,integration service module;

[0034] The data acquisition and input module is connected with the nursing task reminder and linkage module and the MEWS scoring and early warning mechanism module; the nursing task reminder and linkage module is connected with the task execution and feedback closed-loop module and the abnormal response processing module; the abnormal response processing module is connected with the communication and integration service module;

[0035] The data collection and input module is used to obtain the patient's basic information, medical history records and doctor's order data from the HIS (hospital information system) database and health record database. It is also responsible for collecting the patient's vital signs data in real time from IoT devices (heart rate monitor, blood oximeter, thermometer), including heart rate, blood pressure, body temperature, respiratory rate. The ward extension allows patients to actively input meal feedback and pain assessment information, and transmits these data and the patient's actively input meal feedback and pain assessment information to the central server through HTTP API and MQTT protocol. The central server stores the data in a high-concurrency database, and performs preliminary cleaning and formatting of the data to provide support for subsequent analysis and linkage;

[0036] The MEWS scoring and early warning mechanism module is responsible for receiving and processing the patient's vital sign data transmitted by the data acquisition and input module;

[0037] The specific operation logic steps of the MEWS scoring and early warning mechanism module are as follows:

[0038] S101: Data reception and analysis: The MEWS scoring and early warning mechanism module receives and analyzes the vital sign data transmitted from the data acquisition and input module to ensure the accuracy and completeness of the data;

[0039] S102: MEWS score calculation: Based on the physical sign data received in S101, the preset MEWS (Modified Early Warning Score) score standard is calculated to obtain the patient's MEWS score, which reflects the patient's current physiological state and risk level;

[0040] The formula used to calculate the MEWS score is MEWS = HR 分值 +RR 分值 +BP 分值 +Temp 分值 +AVPU 分值 , where HR (heart rate) is measured in beats / minute, RR (respiratory rate) is measured in beats / minute, BP (blood pressure) is systolic pressure in mmHg, Temp (body temperature) is measured in degrees Celsius, and AVPU (state of consciousness) is divided into four levels: Alert, Voice, Pain, and Unresponsive;

[0041] S103: Early warning triggering and classification: The MEWS scoring and early warning mechanism module compares the calculated MEWS score with the preset threshold. When the MEWS score exceeds the set threshold, an early warning is automatically triggered and classified according to the severity of the score (including low-level early warning and high-level early warning). The system presets the MEWS threshold according to the actual situation of the hospital. The threshold of the low-level early warning is MEWS=3 to MEWS=5, and the threshold of the high-level early warning is MEWS≥6;

[0042] S104: Generation and transmission of warning information: According to the warning level in S103, corresponding warning information is generated, including patient information, specific abnormal indicators and recommended operation steps, and the warning information is sent to the nurse station management machine through the SIP protocol. At the same time, the nursing whiteboard is updated to highlight the warning information to ensure that the nurse can notice it in time and take corresponding measures;

[0043] The patient information includes name, room number and bed number, and the specific abnormal indicators include physical sign parameters and corresponding scoring details. The recommended operation steps are to clearly indicate the initial treatment measures that the responsible nurse should take (including reviewing the data and rushing to the ward immediately);

[0044] S105: Call intercom linkage: When an early warning is triggered, a point-to-point or group call is initiated through the SIP protocol according to the early warning level, and the relevant responsible nurse or nursing team is notified to handle it. The call content includes the patient's room number, specific condition summary and detailed data of abnormal physical signs, so that the nurse can quickly understand the situation and respond;

[0045] The intercom types are differentiated according to the warning level. In case of low-level warning, a point-to-point call is made to directly contact the responsible nurse. After the nurse answers the call, she can directly respond through the intercom terminal and mark the task status. If there is no response, the system will automatically redial or notify other nurses. Notifications that are not responded within the set time will automatically be upgraded to high-level warnings. In case of high-level warnings, group calls are made to notify the relevant nursing team.

[0046] The nursing task reminder and linkage module is used to automatically generate a daily nursing task list based on the patient's electronic medical record (EMR), nursing plan and doctor's instructions. The list includes the type of nursing task (drug management, vital sign monitoring, cleaning care), task time node (specific execution time) and task priority (ordinary, emergency, special care). In addition, the task order and priority can be dynamically adjusted in combination with the patient's real-time status (abnormal vital signs, MEWS score);

[0047] Before the task is executed, the system sends reminders through the nursing whiteboard, the nurse station management machine and the ward extension. The reminders include basic information (patient name, room number, bed number), task details (type of nursing task, operation steps and expected completion time) and priority prompts (color and icon indicate the urgency of the task);

[0048] In addition, the nursing whiteboard uses WebSocket technology to update the task list, patient status and priority information in real time. The nursing whiteboard maintains a connection with the central server through WebSocket+MQ queue technology. The task status of the nursing whiteboard includes "to be executed", "in progress", "completed" and "overdue". In priority management, urgent tasks are marked with a striking color (red), and completed tasks are automatically archived to reduce interference information. The nursing whiteboard provides a visual display of the patient's overall status, including vital sign data trends and MEWS score changes, which helps nurses quickly judge patient risks.

[0049] The nurse station management machine provides a task management interface, which supports task confirmation, priority adjustment and one-touch intercom. The task management interface provides a detailed task viewing function, including task time, execution details and precautions, and supports task status updates (including "completed" and "need support"). After completion, it will be automatically synchronized to the nursing whiteboard and ward extension. Nurses can manually adjust the task sequence or add new tasks according to the actual situation of the patient. In addition, they can communicate with the ward extension or nursing team in real time through one-touch intercom to solve problems in task execution.

[0050] The ward extension provides patients with nursing task information and intercom functions, supporting real-time communication between patients and nurses. The nursing task information displays the task type, execution time, and name of the nurse. Patients can use the extension to provide feedback on the completion of the task (including "meal completed" and "pain relief"). When implementing the intercom function, patients can use the SIP intercom function to contact nurses to make requests or confirm task details. The intercom information is synchronized to the nurse station management machine in real time, and nurses can quickly respond to patients' needs.

[0051] The task execution and feedback closed-loop module is used for task execution, recording and closed-loop management. After completing the task, the nurse records the task completion status through the nurse station management machine or mobile terminal. The task completion information is synchronized to the central server and updated in real time on the nursing whiteboard and ward extension display. The system automatically archives the completed nursing task records to ensure the integrity and traceability of the patient's nursing history. For unfinished or unresponsive tasks, the system issues multiple reminders until the task is confirmed to be completed.

[0052] The communication and integration service module is responsible for transmitting various information in the system, including intercom requests, nursing task status updates, and vital sign data. The abnormal response processing module identifies unresponded intercom requests and delayed nursing tasks from these transmitted information. When the abnormal response processing module identifies unresponded intercom requests and delayed nursing tasks, the abnormal response processing module will trigger the secondary warning mechanism to automatically initiate a secondary warning;

[0053] After determining that a secondary warning is required, the abnormal response processing module will send a secondary warning information to the relevant nurses through the nurse station management machine or the nursing whiteboard, and update the task priority. After receiving the secondary warning, the nurse needs to feedback the processing status to the abnormal response processing module through the nurse station management machine or the nursing whiteboard so that the abnormal response processing module can track the processing progress of the task; this embodiment can significantly improve the quality and efficiency of nursing by comprehensively integrating patient vital signs monitoring, MEWS score warning, nursing task reminder and multi-terminal linkage. By real-time perception of the patient's status, automatic collection and analysis of vital signs data are realized, the error rate of manual recording is reduced, and the workload of nurses is reduced. At the same time, timely warning of abnormal situations and closed-loop management of tasks are realized, information transmission errors are reduced, and the response speed of the nursing team is improved. In addition, multi-terminal collaboration and patient interaction functions strengthen communication and cooperation between medical staff and improve patients' nursing experience. Relying on advanced Internet of Things and communication technologies, nursing work is transformed from passive response to active management, which effectively solves the defects in the traditional model and promotes the intelligence and scientificization of nursing work.

[0054] In this embodiment, the data acquisition and input module obtains the patient's basic information, medical history records, and doctor's orders from the HIS (hospital information system) database and the health record database. It is also responsible for real-time collection of the patient's vital sign data, including heart rate, blood pressure, body temperature, respiratory rate, etc., from IoT devices (such as heart rate monitors, blood oximeters, thermometers, etc.), and transmits these data and the patient's active input of dining feedback, pain assessment and other information to the server for storage and preprocessing through HTTP API and MQTT protocols. The preprocessed data is transmitted to the MEWS scoring and early warning mechanism module. The MEWS scoring and early warning mechanism module receives and parses the transmitted vital sign data to ensure the accuracy and completeness of the data. According to the received vital sign data, it is calculated according to the preset MEWS scoring standard to obtain the patient's MEWS score. The system compares the calculated MEWS score with the preset threshold. When the MEWS score exceeds the set threshold, the system automatically triggers an early warning, and grades it according to the severity of the score. The priority of the nursing task is dynamically adjusted according to the patient's condition to ensure the accuracy of resource allocation. According to the level of the early warning, the system generates corresponding early warning information , including patient information, specific abnormal indicators and recommended operation steps, etc. This information is sent to the nurse station management machine through the SIP protocol, and the nursing whiteboard is updated at the same time, and the warning information is displayed in a highlighted manner to ensure that nurses can notice it in time and take corresponding measures. When the warning is triggered, the system initiates a point-to-point or group call through the SIP protocol according to the warning level, notifying the relevant responsible nurses or nursing teams to handle it. At the same time, the system automatically generates a daily nursing task list based on the patient's electronic medical record (EMR), nursing plan and doctor's instructions, and pushes the task list information to the nursing whiteboard, nurse station management machine and ward extension. After completing the task, the nurse records the task completion status through the nurse station management machine or mobile terminal, and the task completion information is synchronized to the central server, and the nursing whiteboard and ward extension display are updated in real time;

[0055] The abnormal response processing module identifies unanswered intercom requests and delayed nursing tasks from these transmitted information. When unanswered intercom requests or delayed nursing tasks are identified, the abnormal response processing module will trigger the secondary warning mechanism. At the same time, after determining that a secondary warning is required, the secondary warning information will be sent to the relevant nurses through the nurse station management machine or the nursing whiteboard, and the task priority will be updated. After receiving the secondary warning, the nurse needs to feedback the processing status to the abnormal response processing module through the nurse station management machine or the nursing whiteboard so that the processing progress of the task can be tracked. In addition, the system automatically archives the completed nursing task records to ensure the integrity and Traceability: For unfinished or unresponsive tasks, the system issues multiple reminders until the task is confirmed to be completed. Through the combination of IoT devices and MEWS scoring mechanism, real-time collection and dynamic analysis of patient vital signs data are achieved, and potential risks are warned in a timely manner. Through SIP intercom protocol and group notification, the nursing team can quickly receive abnormal reminders and take immediate measures to improve response speed. In addition, the abnormal response processing module provides task status tracking and multiple reminder mechanisms to ensure that nursing tasks are completed on time and reduce the risk of omissions and delays. The system ensures information synchronization and improves collaboration efficiency through multi-terminal linkage of nursing whiteboards, nurse station management machines, and ward extensions.

[0056] In addition, the ward extension supports patients to actively input information and communicate with nurses in real time, enhancing patient participation and satisfaction. The nursing whiteboard provides a visual display of information such as patient status and task priority, helping nurses to make quick judgments and decisions.

[0057] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. An intelligent nursing and treatment interaction system based on medical and nursing intercom, characterized in that: It includes data collection and input module, MEWS scoring and early warning mechanism module, nursing task reminder and linkage module, task execution and feedback closed-loop module, abnormal response processing module and communication and integration service module; The data acquisition and input module is connected to the nursing task reminder and linkage module and the MEWS scoring and early warning mechanism module, the nursing task reminder and linkage module is connected to the task execution and feedback closed-loop module and the abnormal response processing module, and the abnormal response processing module is connected to the communication and integration service module.

2. According to claim 1, the intelligent nursing and treatment interaction system based on medical and nursing intercom is characterized in that: The data collection and input module is used to obtain the patient's basic information, medical history records and medical order data from the HIS database and health record database. It is also responsible for collecting the patient's vital signs data in real time from the IoT device, including heart rate, blood pressure, body temperature, and respiratory rate. The ward extension allows patients to actively input dining feedback and pain assessment information, and transmits these data and the patient's actively input dining feedback and pain assessment information to the central server through the HTTP API and MQTT protocol. The central server stores the data in a high-concurrency database, and performs preliminary cleaning and formatting of the data to provide support for subsequent analysis and linkage.

3. According to claim 1, the intelligent nursing and treatment interaction system based on medical and nursing intercom is characterized in that: The MEWS scoring and early warning mechanism module is responsible for receiving and processing the patient's vital sign data transmitted by the data acquisition and input module; The specific operation logic steps of the MEWS scoring and early warning mechanism module are as follows: S101: Data reception and analysis: The MEWS scoring and early warning mechanism module receives and analyzes the vital sign data transmitted from the data acquisition and input module to ensure the accuracy and completeness of the data; S102: MEWS score calculation: Based on the physical sign data received in S101, the MEWS score of the patient is calculated according to the preset MEWS score standard. The MEWS score reflects the patient's current physiological state and risk level; S103: Warning triggering and classification: The MEWS scoring and warning mechanism module compares the calculated MEWS score with the preset threshold. When the MEWS score exceeds the set threshold, the warning is automatically triggered and classified according to the severity of the score; S104: Generation and transmission of warning information: According to the warning level in S103, corresponding warning information is generated, including patient information, specific abnormal indicators and recommended operation steps, and the warning information is sent to the nurse station management machine through the SIP protocol. At the same time, the nursing whiteboard is updated to highlight the warning information to ensure that the nurse can notice it in time and take corresponding measures; S105: Call intercom linkage: When the warning is triggered, a point-to-point or group call is initiated through the SIP protocol according to the warning level, and the relevant responsible nurse or nursing team is notified for processing. The call content includes the patient's room number, specific condition summary and detailed data of abnormal physical signs, so that the nurse can quickly understand the situation and respond.

4. The intelligent nursing and treatment interaction system based on medical and nursing intercom according to claim 3 is characterized in that: In S102, the formula used to calculate the MEWS score is MEWS = HR 分值 +RR 分值 +BP 分植 +Temp 分值 +AVPU 分值 , where HR is measured in beats / minute, RR is measured in beats / minute, BP is systolic blood pressure, and its unit is mmHg, Temp is in degrees Celsius, and AVPU is divided into four levels: Alert, Voice, Pain, and Unresponsive.

5. The intelligent nursing and treatment interaction system based on medical and nursing intercom according to claim 3 is characterized in that: In S103, the system presets the MEWS threshold according to the actual situation of the hospital, the threshold for low-level warning is MEWS=3 to MEWS=5, and the threshold for high-level warning is MEWS≥6; In S104, the patient information includes name, room number and bed number, the specific abnormal indicators include physical sign parameters and corresponding score details, and the recommended operation steps are to clearly prompt the responsible nurse to take preliminary treatment measures; In S105, the intercom type is differentiated according to the warning level. In case of low-level warning, a point-to-point call is made to directly contact the responsible nurse. After the nurse answers the call, she can directly respond through the intercom terminal and mark the task status. If there is no response, the system will automatically redial or notify other nurses. Notifications that are not responded within the set time will be automatically upgraded to high-level warnings. In case of high-level warnings, group calls are made to notify the relevant nursing team.

6. The intelligent nursing and treatment interaction system based on medical and nursing intercom according to claim 1 is characterized in that: The nursing task reminder and linkage module is used to automatically generate a daily nursing task list based on the patient's electronic medical record, nursing plan and doctor's instructions. The list includes the type of nursing task, task time node and task priority. In addition, the task order and priority can be dynamically adjusted according to the patient's real-time status; Before the task is executed, the system sends reminders through the nursing whiteboard, nurse station management machine and ward extension. The reminders include basic information, task details and priority prompts; In addition, the nursing whiteboard uses WebSocket technology to update the task list, patient status and priority information in real time. The nursing whiteboard maintains a connection with the central server through WebSocket+MQ queue technology. The task status of the nursing whiteboard includes "to be executed", "in progress", "completed" and "overdue". In priority management, urgent tasks are marked with eye-catching colors, and completed tasks are automatically archived to reduce interference information. The nursing whiteboard provides a visual display of the patient's overall status, including vital sign data trends and MEWS score changes, which helps nurses quickly judge patient risks. The nurse station management machine provides a task management interface, which supports task confirmation, priority adjustment and one-click intercom. The task management interface provides a detailed task viewing function, including task time, execution details and precautions, and supports task status update. After completion, it is automatically synchronized to the nursing whiteboard and ward extension. Nurses can manually adjust the task sequence or add new tasks according to the actual situation of the patient. In addition, they can communicate with the ward extension or nursing team in real time through one-click intercom to solve problems in task execution. The ward extension provides patients with nursing task information and intercom functions, supporting real-time communication between patients and nurses. The nursing task information displayed includes task type, execution time and nursing staff name. Patients can provide feedback on task completion through the extension. When implementing the intercom function, patients can use the SIP intercom function to contact nurses, make requests or confirm task details. The intercom information is synchronized to the nurse station management machine in real time, and nurses can respond quickly to patient needs.

7. The intelligent nursing and treatment interaction system based on medical and nursing intercom according to claim 1 is characterized in that: The task execution and feedback closed-loop module is used for task execution, recording and closed-loop management. After completing the task, the nurse records the task completion status through the nurse station management machine or mobile terminal. The task completion information is synchronized to the central server and updated in real time on the nursing whiteboard and ward extension display. The system automatically archives the completed nursing task records to ensure the integrity and traceability of the patient's nursing history. For unfinished or unresponded tasks, the system issues multiple reminders until the task is confirmed to be completed.

8. The intelligent nursing and treatment interaction system based on medical and nursing intercom according to claim 1 is characterized in that: The communication and integration service module is responsible for transmitting various information in the system, including intercom requests, nursing task status updates, and vital sign data. The abnormal response processing module identifies unresponded intercom requests and delayed nursing tasks from these transmitted information. When the abnormal response processing module identifies unresponded intercom requests and delayed nursing tasks, the abnormal response processing module triggers the secondary warning mechanism to automatically initiate a secondary warning; After determining that a secondary warning is required, the exception response processing module will send a secondary warning message to the relevant nurses through the nurse station management machine or the nursing whiteboard, and update the task priority. After receiving the secondary warning, the nurse needs to feedback the processing status to the exception response processing module through the nurse station management machine or the nursing whiteboard so that the exception response processing module can track the processing progress of the task.

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