CN116884108B - Equipment safety inspection method and system for realizing negative pressure ward - Google Patents
Equipment safety inspection method and system for realizing negative pressure ward Download PDFInfo
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- CN116884108B CN116884108B CN202311158092.1A CN202311158092A CN116884108B CN 116884108 B CN116884108 B CN 116884108B CN 202311158092 A CN202311158092 A CN 202311158092A CN 116884108 B CN116884108 B CN 116884108B
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Abstract
The application is applicable to the technical field of medical equipment safety inspection, and provides an equipment safety inspection method for realizing a negative pressure ward, which comprises the following steps: monitoring the running state of the negative pressure ward equipment, collecting the current data of the equipment, and judging the functionality of the negative pressure ward equipment by combining the collected data; when receiving the alarm message of abnormality of the using equipment sent by the patient, detecting the equipment in further detail; when detecting that the equipment used by the patient is abnormal, sending out abnormal warning information to equipment management personnel; when detecting that the equipment used by the patient is not abnormal, the patient still sends out an alarm message that the equipment is abnormal, and sends alarm information to medical staff. The method can monitor the running state of the equipment in real time, respond to abnormal warning information and improve the working efficiency and the safety.
Description
Technical Field
The application belongs to the technical field of medical equipment safety inspection, and particularly relates to an equipment safety inspection method and system for realizing a negative pressure ward.
Background
Medical device security inspection techniques are a series of measures and methods that medical institutions and related departments take in order to ensure proper operation and security of medical devices. These measures and methods aim to detect the physical condition, functional performance, safety performance and other factors related to the device to ensure that the device does not pose any risk or injury to the patient and healthcare personnel during use. Through the medical equipment safety inspection technology, a medical institution can timely find out the abnormal condition of the equipment and take corresponding maintenance and maintenance measures, so that the normal operation and safety of the equipment are ensured, and the safety of patients and medical staff is ensured. Meanwhile, regular inspection is also beneficial to prolonging the service life of equipment and improving the equipment management efficiency of medical institutions.
Traditional equipment inspection methods are usually carried out regularly, equipment problems are easy to miss or a period of time passes when the problems are found, and treatment and safety are affected. When the missed detection condition occurs, part of patients can find that the equipment is abnormal, but the equipment maintenance personnel cannot be timely notified, and meanwhile, as the patient does not know the meaning represented by various information of the equipment, the patient can possibly appear to be abnormal, but the situation that the equipment is abnormal actually occurs can not be timely reported, and the safety of the patient can be influenced.
Disclosure of Invention
The embodiment of the application aims to provide a device safety inspection method for realizing a negative pressure ward, which aims to solve the technical problems in the prior art determined in the background art.
The embodiment of the application is realized in such a way that the equipment safety inspection method for realizing the negative pressure ward comprises the following steps:
step S100: monitoring the running state of the negative pressure ward equipment, collecting the current data of the equipment, and judging the functionality of the negative pressure ward equipment by combining the collected data;
step S200: when receiving the warning message sent by the patient and used for using the equipment to generate abnormality, the equipment is further detected in detail and used for determining whether the equipment is abnormal or not, and the method specifically comprises the following steps:
step S210: analyzing and identifying the received equipment abnormality warning information sent by the patient, and confirming an equipment abnormality occurrence source pointed by the patient;
when the equipment abnormality warning information is analyzed and identified, the analysis algorithm is as follows:
wherein,representing the read patient spoken text content; />A database representing event categories stored in the system; />A database of emotion tendencies stored in the presentation system;
representing a given document +.>It belongs to the category->And have emotional tendency->Probability of (2);
representing a given document +.>It belongs to the category->The probability of (2) is obtained through a text classification algorithm;
representation ofIn a given document->And category->Under the condition that the document has emotional tendency +.>The probability of (2) is obtained through an emotion analysis algorithm;
step S220: according to the equipment abnormality occurrence source fed back by the patient, corresponding judging equipment is selected to judge the abnormal state of the negative pressure ward equipment;
when the abnormality fed back by the patient is the abnormality of the internal information of the equipment, judging whether the equipment is abnormal or not by carrying out secondary detection on the running state data of the equipment;
when the abnormality fed back by the patient is the abnormality of the running state of the equipment, judging whether the equipment is abnormal or not by carrying out secondary detection on the current equipment information of the equipment;
when the abnormality fed back by the patient is the abnormality outside the equipment, judging whether the equipment is abnormal or not by calling a camera of the current ward to perform multi-angle observation and detection on the equipment;
step S300: when detecting that the equipment used by the patient is abnormal, sending out abnormal warning information to equipment management personnel;
step S400: when detecting that the equipment used by the patient is not abnormal, the patient still sends out an alarm message that the equipment is abnormal, and sends alarm information to medical staff.
As a further aspect of the present application, the monitoring of the operation state of the negative pressure ward device, collecting current data of the device, and determining the functionality of the negative pressure ward device in combination with the collected data, specifically includes:
step S110: monitoring running state data of the negative pressure ward equipment in real time, wherein the collected running state data comprise air flow, negative pressure value and oxygen concentration;
step S120: periodically collecting current equipment information of negative pressure ward equipment, wherein the collected equipment information comprises equipment temperature and equipment position;
step S130: and combining the running state data of the equipment with the equipment information to judge the functionality of the negative pressure ward equipment so as to determine whether the working state of the equipment is normal.
As a further scheme of the application, when detecting that the equipment used by the patient is abnormal, the application sends out abnormal warning information to equipment management personnel, and specifically comprises the following steps:
step S310: when the current negative pressure ward equipment is judged to be abnormal, performing autonomous repair attempt on the detected abnormality;
step S320: and detecting an autonomous repair result of the abnormal equipment, recording relevant information of the repair, and sending an equipment abnormality warning to the negative pressure ward equipment management system when detecting that the autonomous repair fails.
As a further scheme of the application, when detecting that the equipment used by the patient is not abnormal, but the patient still sends out an alarm message that the equipment is abnormal, the alarm message is sent to medical staff, which concretely comprises the following steps:
step S410: when the current negative pressure ward equipment is judged to be abnormal, judging that the patient is abnormal, and sending an abnormal warning of the patient to medical care management personnel in the ward;
step S420: and detecting the patient through the negative pressure ward equipment, and judging the possible abnormal state of the current patient.
An equipment security inspection system for a negative pressure ward for implementing any of the above equipment security inspection methods, the system comprising:
the device monitoring module is used for monitoring the running state of the negative pressure ward device, collecting the current data of the device, and judging the functionality of the negative pressure ward device by combining the collected data;
the manual reminding module is used for further detecting the equipment in detail when receiving the alarm message of the abnormality of the equipment sent by the patient, and determining whether the abnormality exists in the equipment;
the device processing module is used for sending out abnormal warning information to device management personnel when detecting that the device used by the patient is abnormal;
and the medical care warning module is used for sending warning information to medical care personnel when detecting that the equipment used by the patient is not abnormal, but the patient still sends out warning information that the equipment is abnormal.
As a still further aspect of the present application, the device monitoring module includes:
the state monitoring unit is used for monitoring the operation state data of the negative pressure ward equipment in real time, and the collected operation state data comprise air flow, negative pressure value and oxygen concentration;
the data acquisition unit is used for periodically acquiring current equipment information of the negative pressure ward equipment, wherein the acquired equipment information comprises equipment temperature and equipment position;
and the functionality judging unit is used for judging the functionality of the negative pressure ward equipment by combining the running state data of the equipment and the equipment information and determining whether the working state of the equipment is normal or not.
As a further aspect of the present application, the manual alert module includes:
the abnormality identification unit is used for analyzing and identifying the received equipment abnormality warning information sent by the patient and identifying an equipment abnormality occurrence source pointed out by the patient;
the device confirmation unit is used for selecting corresponding judging equipment to judge the abnormal state of the negative pressure ward device according to the device abnormality occurrence source fed back by the patient;
when the abnormality fed back by the patient is the abnormality of the internal information of the equipment, judging whether the equipment is abnormal or not by carrying out secondary detection on the running state data of the equipment;
when the abnormality fed back by the patient is the abnormality of the running state of the equipment, judging whether the equipment is abnormal or not by carrying out secondary detection on the current equipment information of the equipment;
when the abnormality fed back by the patient is the abnormality outside the equipment, judging whether the equipment is abnormal or not by calling the camera of the current ward to perform multi-angle observation and detection on the equipment.
As a still further aspect of the present application, the device processing module includes:
the autonomous repair unit is used for performing autonomous repair attempt on the detected abnormality when judging that the current negative pressure ward equipment has the abnormality;
and the repair detection unit is used for detecting an autonomous repair result of the abnormal equipment, recording related information of the repair, and sending an equipment abnormality warning to the negative pressure ward equipment management system when detecting that the autonomous repair fails.
As a further aspect of the present application, the medical care warning module includes:
the self-abnormality judging unit is used for judging that the patient is abnormal when judging that the current negative pressure ward equipment is not abnormal, and sending an abnormal patient warning to medical care management personnel of the ward;
and the patient detection unit is used for detecting the patient through the negative pressure ward equipment and judging the possible abnormal state of the current patient.
The embodiment of the application has the beneficial effects that:
monitoring the running state of equipment in real time: the method can monitor the running state of the negative pressure ward equipment in real time, including the functionality and the data acquisition condition of the equipment, so as to find out whether the equipment is abnormal or not in time. Compared with the traditional regular inspection, the equipment problem can be found more timely, and the potential risk is reduced.
Responding to the abnormal warning information: when the abnormal warning message sent by the patient or the medical staff is received, the method can rapidly detect the equipment in detail and send the abnormal warning message to the related staff. Thus, the equipment problem can be responded quickly, and the potential harm to patients and medical staff is reduced.
Work efficiency and safety are improved: by monitoring and responding to the abnormality in real time, the method can improve the working efficiency of equipment management staff and medical staff and reduce the influence of equipment faults on the treatment and medical work of patients. Meanwhile, the equipment problem can be found and solved in time, and the safety and the protection effect of the negative pressure ward can be improved.
Drawings
Fig. 1 is a flowchart of an apparatus security inspection method for implementing a negative pressure ward according to an embodiment of the present application;
fig. 2 is a flowchart of monitoring an operation state of a negative pressure ward device, collecting current data of the device, and determining a functionality of the negative pressure ward device according to the collected data;
FIG. 3 is a flowchart of detecting an abnormality in a user device when an alarm message sent by a patient is received, according to an embodiment of the present application;
FIG. 4 is a flowchart of sending an abnormality alert message to an equipment manager when detecting that an abnormality occurs in equipment used by a patient according to an embodiment of the present application;
FIG. 5 is a flowchart of sending alert information to medical staff when detecting that abnormality does not occur in equipment used by a patient, but the patient still sends out alert information that abnormality occurs in equipment according to the embodiment of the present application;
fig. 6 is a block diagram of a device security inspection system for implementing a negative pressure ward according to an embodiment of the present application;
FIG. 7 is a block diagram of a device monitoring module according to an embodiment of the present application;
FIG. 8 is a block diagram of a manual reminding module according to an embodiment of the present application;
FIG. 9 is a block diagram of a device processing module according to an embodiment of the present application;
fig. 10 is a block diagram of a medical care alarm module according to an embodiment of the present application.
In the figure, a 100-device monitoring module; 200-a manual reminding module; 300-an equipment processing module; 400-medical care warning module; 110-a status monitoring unit; 120-a data acquisition unit; 130-a functionality determination unit; 210-an anomaly identification unit; 220-a device confirmation unit; 310-an autonomous repair unit; 320-repairing the detection unit; 410-a self-anomaly determination unit; 420-patient detection unit.
Detailed Description
The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
It will be understood that the terms "first," "second," and the like, as used herein, may be used to describe various elements, but these elements are not limited by these terms unless otherwise specified. These terms are only used to distinguish one element from another element. For example, a first xx script may be referred to as a second xx script, and similarly, a second xx script may be referred to as a first xx script, without departing from the scope of this disclosure.
Fig. 1 is a flowchart of an apparatus security inspection method for implementing a negative pressure ward according to an embodiment of the present application, as shown in fig. 1, an apparatus security inspection method for implementing a negative pressure ward, where the method includes:
s100, monitoring the running state of negative pressure ward equipment, collecting current data of the equipment, and judging the functionality of the negative pressure ward equipment by combining the collected data;
in this step, the method is mainly used for ensuring the normal operation of the equipment, and the operation state of the negative pressure ward equipment is monitored in real time, including whether the power supply is normally powered, whether the ventilation system is normally operated, whether the filtering device is effective, and the like. By monitoring the operating parameters of the device and sensor data, such as temperature, humidity, wind speed, pressure, etc., the operating state of the device can be assessed. And meanwhile, the current data of the negative pressure ward equipment is collected, and the current data comprises real-time data of each sensor, equipment control parameters, alarm events and other information. Through data recording and storage, a historical database of the equipment can be established, and a basis is provided for subsequent equipment performance analysis and fault investigation. And then, the collected data are combined with a preset equipment function range and performance indexes to judge the functionality of the negative pressure ward equipment. Through data analysis and an algorithm model, whether the equipment meets normal working requirements, such as whether the air flow reaches the standard, whether the negative pressure value meets the standard and the like, can be detected.
S200, when receiving an alarm message sent by a patient and indicating that the using equipment is abnormal, detecting the equipment in further detail to determine whether the equipment is abnormal or not;
in this step, the information sent by the patient is received first, the receiving mode can convert the content described by the patient into text file through voice to text, and read and identify the content to determine whether the device is truly abnormal, and prioritize the warning information according to the severity and emergency degree of the abnormality.
S300, when detecting that the equipment used by the patient is abnormal, sending out abnormal warning information to equipment management personnel;
in this step, after detecting the abnormality of the device, the system should automatically generate abnormality warning information. The information should include content such as device type, device location, anomaly type, and detailed description so that device management personnel can clearly understand where the problem is; according to different abnormal degrees, corresponding priority identifiers can be set for the warning information. For example, for more serious equipment failures, a high priority may be set so that equipment administrators can respond in time and take urgent treatment measures; and informing the equipment manager of the abnormal warning information through various ways. The warning information can be sent by means of mobile phone short messages, e-mails, micro-messages or system messages, etc., so that the equipment manager can be ensured to receive and notice the abnormal situation in time.
S400, when detecting that the equipment used by the patient is not abnormal, the patient still sends out an alarm message that the equipment is abnormal, and alarm information is sent to medical staff.
In this step, when no abnormality of the device is detected, it may be that the patient has abnormality itself at this time, but the patient is not aware of the device because the patient cannot understand the prompt information of the device, so that in this state, the medical staff may be notified of the abnormality warning information directly through various ways. The warning information can be sent through a mobile phone short message, an e-mail, a calling system or a system message and the like, so that the medical staff can be ensured to timely receive and notice the abnormal situation, and at the moment, the medical staff can timely take corresponding treatment measures. For example, the equipment condition may be checked for ward, further communicated with the patient to determine where a particular problem is located, and the patient and equipment checked to ensure patient safety.
Fig. 2 is a flowchart of monitoring an operation state of a negative pressure ward device, collecting current data of the device, and determining a functionality of the negative pressure ward device in combination with the collected data, as shown in fig. 2, where the monitoring the operation state of the negative pressure ward device, collecting the current data of the device, and determining the functionality of the negative pressure ward device in combination with the collected data specifically includes:
s110, monitoring running state data of negative pressure ward equipment in real time, wherein the collected running state data comprise air flow, negative pressure value and oxygen concentration;
in the step, the running state data of the equipment are all intrinsic data of the equipment, and can be obtained through system recording, and other relevant parameters such as temperature, humidity, pressure and the like can be monitored according to specific conditions besides the air flow, the negative pressure value and the oxygen concentration. The real-time monitoring and data acquisition of the parameters can provide accurate equipment running state information, ensure the normal running of negative pressure ward equipment and ensure the safety of patients and medical staff.
S120, periodically acquiring current equipment information of negative pressure ward equipment, wherein the acquired equipment information comprises equipment temperature and equipment position;
in this step, the current device information is external data of the device, and the specific information obtaining mode needs to use external auxiliary devices, such as a temperature sensor to obtain the temperature of the device, a humidity sensor to obtain the humidity state of the working environment of the device, and multiple groups of cameras to collect the position and appearance condition of the device.
And S130, combining the running state data and the equipment information of the equipment, and judging the functionality of the negative pressure ward equipment to determine whether the working state of the equipment is normal.
Fig. 3 is a flowchart of further detailed detection of a device when an alarm message of an abnormality of the device sent by a patient is received, and as shown in fig. 3, the further detailed detection of the device when the alarm message of the abnormality of the device sent by the patient is received, which specifically includes:
s210, analyzing and identifying the received equipment abnormality warning information sent by the patient, and confirming an equipment abnormality occurrence source pointed by the patient;
in this step, the warning message sent by the patient is analyzed and understood by natural language processing, voice recognition and other techniques. The patient description is identified and analyzed, key information is extracted, the semantics, emotion and other contextual information of the patient can be analyzed when the patient description is abnormal, more accurate prompts and guidance are provided for medical staff, and the medical staff is helped to decide whether further detailed examination equipment is needed.
When the equipment abnormality warning information is analyzed and identified, the analysis algorithm is as follows:
wherein,representing the read patient spoken text content; />A database representing event categories stored in the system; />A database of emotion tendencies stored in the presentation system;
representing a given document +.>It belongs to the category->And have emotional tendency->Probability of (2);
representing a given document +.>It belongs to the category->The probability of (2) is obtained through a text classification algorithm;
expressed in a given document->And category->Under the condition that the document has emotional tendency +.>The probability of (2) is obtained through an emotion analysis algorithm;
s220, according to the equipment abnormality occurrence source fed back by the patient, selecting corresponding judging equipment to judge the abnormal state of the negative pressure ward equipment;
when the abnormality fed back by the patient is the abnormality of the internal information of the equipment, judging whether the equipment is abnormal or not by carrying out secondary detection on the running state data of the equipment;
when the abnormality fed back by the patient is the abnormality of the running state of the equipment, judging whether the equipment is abnormal or not by carrying out secondary detection on the current equipment information of the equipment;
when the abnormality fed back by the patient is the abnormality outside the equipment, judging whether the equipment is abnormal or not by calling the camera of the current ward to perform multi-angle observation and detection on the equipment.
Fig. 4 is a flowchart of sending an abnormality alert message to an equipment manager when detecting that an abnormality occurs in an equipment used by a patient, and as shown in fig. 4, the sending an abnormality alert message to the equipment manager when detecting that an abnormality occurs in an equipment used by a patient, which specifically includes:
s310, when the current negative pressure ward equipment is judged to have an abnormality, performing autonomous repair attempt on the detected abnormality;
s320, detecting an autonomous repair result of the abnormal equipment, recording relevant information of the repair, and sending an equipment abnormality warning to the negative pressure ward equipment management system when detecting that the autonomous repair fails.
In this step, after the equipment repairing operation is successful, the system may record relevant information of the repairing, including repairing time, repairing operation, repairing result, etc. When the device repair operation fails to successfully repair the abnormality, the system can send an abnormality message to the device manager to remind the manager of previous repair check.
Fig. 5 is a flowchart of sending alert information to a medical staff when detecting that an abnormality does not occur in a device used by a patient, but the patient still sends an alert message that the abnormality occurs in the device, as shown in fig. 5, where when detecting that the abnormality does not occur in the device used by the patient, but the patient still sends an alert message that the abnormality occurs in the device, the method specifically includes:
s410, when judging that the current negative pressure ward equipment is not abnormal, judging that the patient is abnormal, and sending an abnormal warning of the patient to medical care management personnel in the ward;
s420, detecting the patient through the negative pressure ward equipment, and judging the possible abnormal state of the current patient.
Fig. 6 is a block diagram of a device security inspection system for implementing a negative pressure ward according to an embodiment of the present application, as shown in fig. 6, a device security inspection system for implementing a negative pressure ward, where the system includes:
the device monitoring module 100 is used for monitoring the operation state of the negative pressure ward device, collecting the current data of the device, and judging the functionality of the negative pressure ward device by combining the collected data;
in this module, mainly be used for guaranteeing the normal operating of equipment, through the running state of real-time supervision negative pressure ward equipment, including whether the power is normally supplied with power, ventilation system is normal operation, filter equipment is effective etc.. By monitoring the operating parameters of the device and sensor data, such as temperature, humidity, wind speed, pressure, etc., the operating state of the device can be assessed. And meanwhile, the current data of the negative pressure ward equipment is collected, and the current data comprises real-time data of each sensor, equipment control parameters, alarm events and other information. Through data recording and storage, a historical database of the equipment can be established, and a basis is provided for subsequent equipment performance analysis and fault investigation. And then, the collected data are combined with a preset equipment function range and performance indexes to judge the functionality of the negative pressure ward equipment. Through data analysis and an algorithm model, whether the equipment meets normal working requirements, such as whether the air flow reaches the standard, whether the negative pressure value meets the standard and the like, can be detected.
The manual reminding module 200 is used for further detecting the equipment in detail when receiving the alarm message sent by the patient and indicating that the equipment is abnormal, and determining whether the equipment is abnormal or not;
in the module, the information sent by the patient is received firstly, the receiving mode can convert the content described by the patient into a text file through a voice-to-text mode, the content is read and identified to determine whether the device is truly abnormal, the warning information is prioritized according to the severity degree and the emergency degree of the abnormality, emotion of the patient during speaking is also read in the step, the emergency degree of the current event is judged by using the emotion condition of the patient, a doctor can be informed directly if necessary, and the patient is tightly treated or treated.
The device processing module 300 is configured to send out an abnormality alert message to a device manager when detecting that an abnormality occurs in a device used by a patient;
in the module, after detecting the abnormality of the equipment, the system should automatically generate the abnormality warning information. The information should include content such as device type, device location, anomaly type, and detailed description so that device management personnel can clearly understand where the problem is; according to different abnormal degrees, corresponding priority identifiers can be set for the warning information. For example, for more serious equipment failures, a high priority may be set so that equipment administrators can respond in time and take urgent treatment measures; and informing the equipment manager of the abnormal warning information through various ways. The warning information can be sent by means of mobile phone short messages, e-mails, micro-messages or system messages, etc., so that the equipment manager can be ensured to receive and notice the abnormal situation in time.
The medical care warning module 400 is used for sending warning information to medical staff when detecting that the equipment used by the patient is not abnormal, but the patient still sends warning information that the equipment is abnormal.
In the module, when no abnormality exists in the equipment, the patient possibly has abnormality at the moment, but the patient cannot know the prompt information of the equipment, so that the patient cannot know the prompt information, and in the state, the abnormal warning information can be directly notified to medical staff through various ways. The warning information can be sent through a mobile phone short message, an e-mail, a calling system or a system message and the like, so that the medical staff can be ensured to timely receive and notice the abnormal situation, and at the moment, the medical staff can timely take corresponding treatment measures. For example, the equipment condition may be checked for ward, further communicated with the patient to determine where a particular problem is located, and the patient and equipment checked to ensure patient safety.
Fig. 7 is a block diagram of a device monitoring module according to an embodiment of the present application, and as shown in fig. 7, the device monitoring module includes:
a state monitoring unit 110, configured to monitor, in real time, operation state data of the negative pressure ward device, where the collected operation state data includes air flow, negative pressure value, and oxygen concentration;
in the unit, the running state data of the equipment are all intrinsic data of the equipment, and can be obtained through system recording, and other relevant parameters such as temperature, humidity, pressure and the like can be monitored according to specific conditions besides the air flow, the negative pressure value and the oxygen concentration. The real-time monitoring and data acquisition of the parameters can provide accurate equipment running state information, ensure the normal running of negative pressure ward equipment and ensure the safety of patients and medical staff.
The data acquisition unit 120 is configured to periodically acquire current device information of the negative pressure ward device, where the acquired device information includes a device temperature and a device position;
in the unit, the current equipment information is external data of the equipment, an external auxiliary equipment is needed to be adopted in a specific information acquisition mode, for example, the temperature of the equipment is acquired through a temperature sensor, the humidity state of the working environment of the equipment is acquired through a humidity sensor, and the position and the appearance condition of the equipment are acquired through a plurality of groups of cameras.
And the functionality determination unit 130 is configured to determine the functionality of the negative pressure ward device by combining the operation state data of the device and the device information, so as to determine whether the operation state of the device is normal.
Fig. 8 is a structural block diagram of a manual reminding module according to an embodiment of the present application, as shown in fig. 8, where the manual reminding module includes:
an abnormality recognition unit 210 for analyzing and recognizing the received abnormality warning information of the apparatus issued by the patient, and confirming an abnormality occurrence source of the apparatus indicated by the patient;
in the unit, the warning message sent by the patient is analyzed and understood through natural language processing, voice recognition and other technologies. The patient description is identified and analyzed, key information is extracted, the semantics, emotion and other contextual information of the patient can be analyzed when the patient description is abnormal, more accurate prompts and guidance are provided for medical staff, and the medical staff is helped to decide whether further detailed examination equipment is needed.
The device confirmation unit 220 is configured to select a corresponding determination device to determine an abnormal state of the negative pressure ward device according to the device abnormality occurrence source fed back by the patient;
when the abnormality fed back by the patient is the abnormality of the internal information of the equipment, judging whether the equipment is abnormal or not by carrying out secondary detection on the running state data of the equipment;
when the abnormality fed back by the patient is the abnormality of the running state of the equipment, judging whether the equipment is abnormal or not by carrying out secondary detection on the current equipment information of the equipment;
when the abnormality fed back by the patient is the abnormality outside the equipment, judging whether the equipment is abnormal or not by calling the camera of the current ward to perform multi-angle observation and detection on the equipment.
Fig. 9 is a block diagram of a device processing module according to an embodiment of the present application, where, as shown in fig. 9, the device processing module includes:
an autonomous repair unit 310, configured to perform an autonomous repair attempt for the detected abnormality when it is determined that the current negative pressure ward device has an abnormality;
and the repair detection unit 320 is configured to detect an autonomous repair result of the abnormal device, record information related to the repair, and send a device abnormality warning to the negative pressure ward device management system when detecting that the autonomous repair fails.
In this unit, after the equipment repair operation is successful, the system may record relevant information of the repair, including repair time, repair operation, repair result, and the like. When the device repair operation fails to successfully repair the abnormality, the system can send an abnormality message to the device manager to remind the manager of previous repair check.
Fig. 10 is a block diagram of a medical care warning module according to an embodiment of the present application, as shown in fig. 10, where the medical care warning module includes:
a self-abnormality determining unit 410, configured to determine that the patient is abnormal when it is determined that the current negative pressure ward device is not abnormal, and send a patient abnormality alert to a medical care manager in the ward;
the patient detection unit 420 is configured to detect a patient through the negative pressure ward device, and determine an abnormal state that may exist in the current patient.
It should be understood that, although the steps in the flowcharts of the embodiments of the present application are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in various embodiments may include multiple sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, nor do the order in which the sub-steps or stages are performed necessarily performed in sequence, but may be performed alternately or alternately with at least a portion of the sub-steps or stages of other steps or other steps.
Those skilled in the art will appreciate that all or part of the processes in the methods of the above embodiments may be implemented by a computer program for instructing relevant hardware, where the program may be stored in a non-volatile computer readable storage medium, and where the program, when executed, may include processes in the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
The technical features of the above-described embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above-described embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The foregoing examples illustrate only a few embodiments of the application and are described in detail herein without thereby limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of protection of the present application is to be determined by the appended claims.
The foregoing description of the preferred embodiments of the application is not intended to be limiting, but rather is intended to cover all modifications, equivalents, and alternatives falling within the spirit and principles of the application.
Claims (9)
1. A method for realizing equipment security inspection in a negative pressure ward, the method comprising:
step S100: monitoring the running state of the negative pressure ward equipment, collecting the current data of the equipment, and judging the functionality of the negative pressure ward equipment by combining the collected data;
step S200: when receiving the warning message of abnormality of the using equipment sent by the patient, the using equipment is further detected in detail and used for determining whether the using equipment has the abnormality or not, and the method specifically comprises the following steps:
step S210: analyzing and identifying the received equipment abnormality warning information sent by the patient, and confirming an equipment abnormality occurrence source pointed by the patient;
when the equipment abnormality warning information is analyzed and identified, the analysis algorithm is as follows:
wherein T represents the read patient spoken text content; a represents an event category database stored in the system; b represents an emotion tendency database stored in the system;
r (a, b|T) represents the probability that a given document T belongs to category a and has emotion tendency b;
r (a|T) represents the probability that a given document T belongs to category a, and is obtained through a text classification algorithm;
r (b|T, a) represents the probability that the document has emotion tendency b under the condition of given document T and category a, and is obtained through an emotion analysis algorithm;
step S220: according to the equipment abnormality occurrence source fed back by the patient, corresponding judging equipment is selected to judge the abnormal state of the negative pressure ward equipment;
when the abnormality fed back by the patient is the abnormality of the internal information of the equipment, judging whether the equipment is abnormal or not by carrying out secondary detection on the running state data of the equipment;
when the abnormality fed back by the patient is the abnormality of the running state of the equipment, judging whether the equipment is abnormal or not by carrying out secondary detection on the current equipment information of the equipment;
when the abnormality fed back by the patient is the abnormality outside the equipment, judging whether the equipment is abnormal or not by calling a camera of the current ward to perform multi-angle observation and detection on the equipment;
step S300: when detecting that the equipment used by the patient is abnormal, sending out abnormal warning information to equipment management personnel;
step S400: when detecting that the equipment used by the patient is not abnormal, the patient still sends out an alarm message that the equipment is abnormal, and sends alarm information to medical staff.
2. The method according to claim 1, wherein the monitoring of the operation state of the negative pressure ward device, the collecting of current data of the device and the determining of the functionality of the negative pressure ward device in combination with the collected data, specifically comprises:
step S110: monitoring running state data of the negative pressure ward equipment in real time, wherein the collected running state data comprise air flow, negative pressure value and oxygen concentration;
step S120: periodically collecting current equipment information of negative pressure ward equipment, wherein the collected equipment information comprises equipment temperature and equipment position;
step S130: and combining the running state data of the equipment with the equipment information to judge the functionality of the negative pressure ward equipment so as to determine whether the working state of the equipment is normal.
3. The method according to claim 1, wherein when detecting that the abnormality occurs in the equipment used by the patient, the method sends an abnormality warning message to the equipment manager, and specifically comprises:
step S310: when the current negative pressure ward equipment is judged to be abnormal, performing autonomous repair attempt on the detected abnormality;
step S320: and detecting an autonomous repair result of the abnormal equipment, recording relevant information of the repair, and sending an equipment abnormality warning to the negative pressure ward equipment management system when detecting that the autonomous repair fails.
4. The method according to claim 1, wherein when detecting that the device used by the patient is not abnormal, but the patient still sends out an alarm message that the device is abnormal, sending alarm information to medical staff, specifically comprising:
step S410: when the current negative pressure ward equipment is judged to be abnormal, judging that the patient is abnormal, and sending an abnormal warning of the patient to medical care management personnel in the ward;
step S420: and detecting the patient through the negative pressure ward equipment, and judging the possible abnormal state of the current patient.
5. An equipment security inspection system for a negative pressure ward for implementing the equipment security inspection method of any one of claims 1-4, the system comprising:
the device monitoring module is used for monitoring the running state of the negative pressure ward device, collecting the current data of the device, and judging the functionality of the negative pressure ward device by combining the collected data;
the manual reminding module is used for further detecting the using equipment in detail when receiving the warning message of the abnormality of the using equipment sent by the patient and determining whether the using equipment is abnormal or not;
the device processing module is used for sending out abnormal warning information to device management personnel when detecting that the device used by the patient is abnormal;
and the medical care warning module is used for sending warning information to medical care personnel when detecting that the equipment used by the patient is not abnormal, but the patient still sends out warning information that the equipment is abnormal.
6. The system of claim 5, wherein the device monitoring module comprises:
the state monitoring unit is used for monitoring the operation state data of the negative pressure ward equipment in real time, and the collected operation state data comprise air flow, negative pressure value and oxygen concentration;
the data acquisition unit is used for periodically acquiring current equipment information of the negative pressure ward equipment, wherein the acquired equipment information comprises equipment temperature and equipment position;
and the functionality judging unit is used for judging the functionality of the negative pressure ward equipment by combining the running state data of the equipment and the equipment information and determining whether the working state of the equipment is normal or not.
7. The system of claim 5, wherein the manual alert module comprises:
the abnormality identification unit is used for analyzing and identifying the received equipment abnormality warning information sent by the patient and identifying an equipment abnormality occurrence source pointed out by the patient;
the device confirmation unit is used for selecting corresponding judging equipment to judge the abnormal state of the negative pressure ward device according to the device abnormality occurrence source fed back by the patient;
when the abnormality fed back by the patient is the abnormality of the internal information of the equipment, judging whether the equipment is abnormal or not by carrying out secondary detection on the running state data of the equipment;
when the abnormality fed back by the patient is the abnormality of the running state of the equipment, judging whether the equipment is abnormal or not by carrying out secondary detection on the current equipment information of the equipment;
when the abnormality fed back by the patient is the abnormality outside the equipment, judging whether the equipment is abnormal or not by calling the camera of the current ward to perform multi-angle observation and detection on the equipment.
8. The system of claim 5, wherein the device processing module comprises:
the autonomous repair unit is used for performing autonomous repair attempt on the detected abnormality when judging that the current negative pressure ward equipment has the abnormality;
and the repair detection unit is used for detecting an autonomous repair result of the abnormal equipment, recording related information of the repair, and sending an equipment abnormality warning to the negative pressure ward equipment management system when detecting that the autonomous repair fails.
9. The system of claim 5, wherein the healthcare alert module comprises:
the self-abnormality judging unit is used for judging that the patient is abnormal when judging that the current negative pressure ward equipment is not abnormal, and sending an abnormal patient warning to medical care management personnel of the ward;
and the patient detection unit is used for detecting the patient through the negative pressure ward equipment and judging the possible abnormal state of the current patient.
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Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104873203A (en) * | 2015-06-12 | 2015-09-02 | 河海大学常州校区 | Patient care monitoring system based on motion sensing device and working method of system |
| CN108981106A (en) * | 2018-08-20 | 2018-12-11 | 山东润智能科技有限公司 | Hospital central air-conditioning security stereo monitors cloud platform, system and method |
| CN110519475A (en) * | 2019-08-14 | 2019-11-29 | 户永杰 | A kind of humanized calling system and method for hospital ward |
| CN110598612A (en) * | 2019-08-30 | 2019-12-20 | 深圳智慧林网络科技有限公司 | Patient nursing method based on mobile terminal, mobile terminal and readable storage medium |
| CN111134640A (en) * | 2020-01-14 | 2020-05-12 | 深圳市康平科技发展有限公司 | Method, system, device and medium for diverting neonatal monitoring device alarm noise |
| CN112137580A (en) * | 2020-08-13 | 2020-12-29 | 北京航天名翰网络科技有限公司 | Detection system for ward service |
| CN113887463A (en) * | 2021-10-13 | 2022-01-04 | 浙江省现代建筑设计研究院有限公司 | ICU ward monitoring method and device, electronic equipment and medium |
| CN114358845A (en) * | 2022-01-04 | 2022-04-15 | 自贡市第一人民医院 | Processing method and system for detecting running state of oxygen inhalation equipment |
| CN115880858A (en) * | 2022-10-19 | 2023-03-31 | 慧之安信息技术股份有限公司 | Medical auxiliary monitoring method based on edge calculation |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7327219B2 (en) * | 2004-02-12 | 2008-02-05 | Lederer Iv Charles Henry | Enhanced alarm system for monitoring of patients |
| US10658080B2 (en) * | 2015-11-13 | 2020-05-19 | Wipro Limited | Method for monitoring behaviour of a patient in real-time using patient monitoring device |
-
2023
- 2023-09-08 CN CN202311158092.1A patent/CN116884108B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104873203A (en) * | 2015-06-12 | 2015-09-02 | 河海大学常州校区 | Patient care monitoring system based on motion sensing device and working method of system |
| CN108981106A (en) * | 2018-08-20 | 2018-12-11 | 山东润智能科技有限公司 | Hospital central air-conditioning security stereo monitors cloud platform, system and method |
| CN110519475A (en) * | 2019-08-14 | 2019-11-29 | 户永杰 | A kind of humanized calling system and method for hospital ward |
| CN110598612A (en) * | 2019-08-30 | 2019-12-20 | 深圳智慧林网络科技有限公司 | Patient nursing method based on mobile terminal, mobile terminal and readable storage medium |
| CN111134640A (en) * | 2020-01-14 | 2020-05-12 | 深圳市康平科技发展有限公司 | Method, system, device and medium for diverting neonatal monitoring device alarm noise |
| CN112137580A (en) * | 2020-08-13 | 2020-12-29 | 北京航天名翰网络科技有限公司 | Detection system for ward service |
| CN113887463A (en) * | 2021-10-13 | 2022-01-04 | 浙江省现代建筑设计研究院有限公司 | ICU ward monitoring method and device, electronic equipment and medium |
| CN114358845A (en) * | 2022-01-04 | 2022-04-15 | 自贡市第一人民医院 | Processing method and system for detecting running state of oxygen inhalation equipment |
| CN115880858A (en) * | 2022-10-19 | 2023-03-31 | 慧之安信息技术股份有限公司 | Medical auxiliary monitoring method based on edge calculation |
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