481 results about "Patient room" patented technology

The invention relates to the technical field of health monitoring, in particular to a health monitoring method and device based on the Internet of Things, and the method comprises the steps: obtaining a historical health monitoring data set according to an Internet of Things sensor network; dividing the monitoring area into a multi-scale space-time health state grid; and performing state classification through the historical health monitoring data set according to a density peak clustering algorithm to obtain a health state mode. According to the method, the monitoring area is divided into the multi-scale space-time health state grids, and the mapping relation between the environment parameters and the health indexes is combined, so that the microenvironment-health association which is difficult to find by a traditional monitoring system can be captured, for example, in a ward scene, the monitoring accuracy is improved; the phenomenon that the infection risk of a patient is increased due to poor air circulation in a ward can be accurately identified, so that environmental parameters are optimized in a targeted manner; and through collaborative analysis of a global channel and a local channel, a group trend and individual anomaly can be captured.

The invention discloses an inpatient falling early warning and intervention method based on environmental perception, and the method comprises the steps: continuously obtaining the video frames of a patient through a camera, and extracting the coordinates and confidence of seventeen key points through a pre-training deep learning posture estimation model; respectively processing the time sequence and the space-time diagram by using a hierarchical time sequence convolutional network branch and a graph neural network branch, and generating a visual behavior feature vector; in the same risk assessment period, bidirectional cross-modal attention fusion is carried out on the physiological feature vector and the visual feature vector collected by the wearable device, and a multi-modal fusion feature vector is output; then combining historical state features and static archive features in a hospital information system, carrying out unified modeling through a Transform encoder, and mapping to fall risk probability distribution; and when the risk is judged to be high, an intervention instruction is immediately issued to an intelligent sickbed or ward falling prevention execution mechanism through an Internet of Things protocol, and a perception-decision-intervention closed loop is completed.

The invention belongs to the technical field of early warning systems in Internet platforms, and discloses an Internet of Things-based early warning system and early warning method for an intensive care unit, and the system carries out the abnormal recognition of physiological parameters through a pre-trained early warning model, fuses response task features, medical worker resource states and historical scores based on a response scheduling module, and carries out the early warning of the medical worker. A responder assignment strategy is optimized, and the matching accuracy is improved; furthermore, periodic data acquisition is realized through a response closed-loop recording module, an early warning response responsibility chain containing node and causal link information is constructed, and on the basis, high-risk nodes and bottleneck regions are identified, task allocation weights and path optimization rules are dynamically adjusted, and adaptive updating of scheduling logic is realized; and early warning re-response and rescheduling based on new logic are supported, and a feedback closed loop driven by data is formed, so that the timeliness and accuracy of early warning response are effectively improved, and the risk of intervention failure caused by response lag is reduced.

The invention relates to the technical field of gastrointestinal tracts, in particular to a gastrointestinal tract ultrasonic virtual simulation nursing teaching platform which comprises a function module and a hardware configuration module. The function module comprises an anatomy learning module, an ultrasonic simulation module, a case training module and an examination and evaluation module; the hardware configuration comprises a VR head-mounted display, an ultrasonic simulator and an operation panel. The system has the advantages of safe and risk-free training, standardized process learning, immersive scene experience and instant feedback evaluation, a high-fidelity gastrointestinal tract ultrasonic virtual simulation teaching platform for critically ill patients is constructed, a 3D virtual model is constructed by using a virtual simulation technology, knowledge is presented dynamically and visually, real situations such as ICU wards and the like are simulated through VR, and real-time feedback evaluation of the gastrointestinal tracts of the critically ill patients is realized. The learning initiative and the sense of participation are stimulated; an ICU environment is virtualized, an unlimited'trial-and-error 'practice space is provided, the equipment cost is reduced, potential safety hazards are avoided, and space-time and safety barriers are broken.

The invention relates to the technical field of medical informatization and intelligent scheduling, and particularly discloses a ward nursing process prediction and dynamic scheduling method and system.The ward nursing process prediction and dynamic scheduling method comprises the steps that firstly, a digital twinborn simulation environment synchronized with a physical ward in real time is established, and a nursing process is simulated through a multi-agent network; carrying out multi-time sequence deduction based on the environment, generating a prospective scheduling instruction set, and issuing and executing the prospective scheduling instruction set; calculating a prediction mismatch degree index by collecting actual execution data and comparing the actual execution data with a plurality of dimensions of an expected state; when the index exceeds a dynamic threshold value, a meta control layer is triggered to carry out self-adaptive adjustment on simulation environment parameters, and the self-adaptive adjustment comprises reconstruction of an agent behavior logic weight or switching of a scene deduction mode; and deducing and generating an updated instruction set again based on the adjusted environment to form closed-loop optimization.

The invention discloses an intensive care treatment scheme intelligent decision-making system based on data driving, and relates to the technical field of medical information, and the system comprises a data collection module which is used for obtaining multi-source clinical data of an intensive care unit in real time; and the decision generation module is connected with the data acquisition module and is used for generating a treatment scheme according to the clinical data. According to the intensive care treatment scheme intelligent decision-making system based on data driving, through four-dimensional snapshot construction of a dynamic decision-making chain and medical interpretable evolution relation labeling, continuous logic of an intensive care decision-making is guaranteed, data abnormal driving change and medical logic jump risks are effectively identified, medical errors caused by decision-making faults are reduced, and the decision-making efficiency is improved. The abstract decision-making process is converted into a concrete evidence chain capable of penetrating auditing, and the clinical responsibility traceability and the doctor-patient credibility are improved.

The invention belongs to the field of medical care, and particularly relates to an intelligent nursing inspection auto-induction recording device and method, and the device comprises a directional RFID card reader at the entrance of a ward, an NFC activation module at the side of a sickbed, an integrated pressure-sensitive foot pad, and an adjustable installation structure. Timing is started through ward entrance identification, nurse information is recorded through close-range induction of a sickbed, and nursing operation and passing behaviors are distinguished by detecting a two-foot standing mode through a pressure-sensitive foot pad. The mounting structure comprises an L-shaped mounting plate and a sliding inner plate and is matched with the width of a sickbed; the angle adjusting component fixes the position; the intelligent pressure-sensitive foot pads are integrated at the four corners of the sickbed base, the pressure distribution sensors detect the standing mode of the two feet, nurses and temporary passing persons are distinguished, false inspection in the mode of waving for walking is avoided, substantive nursing operation of the nurses is accurately verified, and it is ensured that patients are truly and effectively nursed.

The invention provides an intelligent ward nursing information acquisition and processing method and system. The method comprises the following steps: acquiring mattress pressure data to construct a pressure grey-scale map sequence, calculating a pressure barycentric coordinate difference value between continuous frames to generate a patient movement vector set and a body barycentric movement path, extracting a continuous pixel region exceeding a pressure threshold in a single-frame image as a high-pressure region, and counting the duration of the high-pressure region; calculating gradient distribution by using the pressure data, decomposing the gradient distribution into direction and intensity data, and generating a pressure topological graph through dual-channel fusion; integrating the bending characteristics of the moving path, the time distribution characteristics of the duration of the high-pressure area and the spatial gradient characteristics of the pressure topological graph, and constructing a body position dynamic space-time diagram with the central point of the high-pressure area as a node and the moving distance and angle of the node as edges; when it is recognized that the high-risk static body position features exist in the image, a turning-over reminding process is triggered, and a control instruction is generated. According to the invention, accurate recognition and automatic nursing response of high-risk body positions are realized.

The device comprises an assembly type bottom plate, an assembly rail is fixedly mounted in the middle of the top of the assembly type bottom plate, a mounting bottom plate is slidably connected to the interior of the assembly rail, and a pipeline buffering mechanism of the device compresses a torsional spring through a gear transmission system to store energy; during installation, after the oxygen hose sequentially penetrates through all the components, the torsion spring resets to drive the winding shaft to automatically wind the hose, random falling and winding of the hose are avoided, abrasion is reduced, the service life is prolonged, a ward is kept clean and tidy, and during use, when the hose is pulled, the torsion spring is triggered for buffering, a connector is prevented from loosening and falling off, and continuous oxygen supply is guaranteed. The medical risk is reduced; meanwhile, redundant hoses are automatically wound, the medical care arrangement burden is relieved, the hoses can be drawn out by opening an access door and twisting a winding shaft during overhauling, a large number of components do not need to be disassembled, the overhauling time is shortened, and the sickroom shutdown time is shortened.

The invention relates to the technical field of ICU environment regulation and control, and discloses a negative pressure self-adaptive adjusting system for an ICU ward. The system comprises an area pressure monitoring module, a pressure gradient analysis module, an abnormal fluctuation judgment module, a negative pressure demand generation module, a fan parameter calculation module and an execution control module. The regional pressure monitoring module obtains pressure values of ICU wards, buffer rooms and corridors in real time; the pressure gradient analysis module calculates a pressure difference value of adjacent areas, judges a gradient state and generates an abnormal signal; the abnormal fluctuation judgment module generates an abnormal level signal accordingly; the negative pressure demand generation module generates a negative pressure maintaining or enhancing instruction according to the grade signal; the fan parameter calculation module is combined with the real-time pressure value of the ward to calculate the rotating speed of a target fan and the opening value of an air valve; and the execution control module controls an exhaust system adjusting mechanism according to the target parameters. The system can dynamically regulate and control the negative pressure, guarantees the stability of the negative pressure in a ward, and reduces the diffusion risk of harmful microorganisms.

The invention discloses an AI-based online data analysis method for medical molecular sieve oxygen production equipment. The method comprises the following steps: step 1, collecting multi-source operation monitoring data of the medical molecular sieve oxygen production equipment; 2, constructing a task prompt vector to obtain a normalized feature vector; 3, inputting the normalized feature vector into an improved TabPFN model to obtain a hidden space representation, and generating an enhanced representation in combination with a retrieval result of the prototype memory bank; 4, performing drift detection on the enhanced representation; 5, inputting the robust representation into a multi-task decoder; and 6, executing event label judgment, and outputting online analysis result data. According to the invention, real-time analysis of multi-source data and advanced identification of abnormal trends are realized, and the method is suitable for equipment state monitoring and risk early warning in hospital wards, rehabilitation centers and long-term oxygen supply scenes.

The invention discloses an infection propagation path sensing method and system based on a time-space relationship. The method comprises the following steps: acquiring and cleaning hospitalization, nursing and inspection data of patients, and constructing a time sequence file of each patient; defining the contact type of the same ward and the medical care medium based on the time sequence file, setting an infection period and an observation window to identify a potential infection transmission path, and forming a contact event table; sorting the time information of the positive patients and the contactors thereof based on the contact event table, and dynamically generating a directed propagation chain; performing cyclic path elimination and credibility grading on the directed propagation chain to obtain a corrected propagation network; and screening out cases without upstream infection sources according to the corrected propagation network, and determining infection sources and properties thereof in combination with hospitalization time and historical hospitalization records. Through the implementation of the method, the adaptive limitation of the prior art to a complex propagation scene can be solved, rapid reconstruction and accurate attribution of a hospital infection propagation chain are realized, and intelligent decision support is provided for reducing the incidence rate of hospital infection.

The invention discloses an anesthesia awakening state prediction method and system, and the method comprises the steps: firstly constructing a standard prediction model, then obtaining an actual physiological parameter set, generating an actual recovery state parameter set according to the actual physiological parameter set, and generating an initial recovery curve in the standard prediction model; generating a minimum verification circle, and performing primary correction on the initial recovery curve through the minimum verification circle to obtain a corrected recovery curve; according to the correction recovery curve and a standard prediction model, initial prediction waking time is calculated, according to the actual recovery state parameter set and the correction recovery curve, a composite deviation rate is generated, according to the composite deviation rate, secondary correction is carried out on the initial prediction waking time, and prediction waking time is obtained. According to the method, accurate positioning of the wake-up point is realized by correcting the intersection point of the recovery curve and the standard prediction model, and early warning is performed in time, so that the work pressure of medical staff is reduced, the orderly development of medical work can be ensured, and the nursing quality and the operation efficiency of a wake-up ward can be improved.

The invention discloses a nurse dynamic man-hour optimization system based on real-time load sensing, and relates to the technical field of medical information management, and the system comprises a real-time load sensing module which collects and quantifies the real-time nursing workload of a ward unit; the nurse state monitoring module is used for monitoring and evaluating the real-time working state and fatigue level of the nurse on duty; the dynamic optimization decision engine is used for receiving the load quantification data and the nurse state data and generating a real-time nurse task redistribution or man-hour adjustment instruction; and the scheduling execution and feedback module is used for receiving and executing the adjustment instruction and feeding back effect data after instruction execution to the dynamic optimization decision engine. The nursing load and the nurse fatigue state are quantified in real time, the real-time adjustment instruction is generated based on the multi-target dynamic optimization model, accurate and dynamic configuration of nursing human resources is achieved, the scheduling efficiency and balance are improved, meanwhile, the nurse occupational risk is effectively reduced, and closed-loop optimization is formed.

The invention discloses an intelligent ward patrol robot, and relates to the technical field of intelligent medical robots, the intelligent ward patrol robot comprises a robot body, and the robot body is internally provided with a multi-mode sensing unit, an edge calculation unit, a federal learning unit and a decision execution unit. According to the multi-mode sensing unit, a polarization type 3D camera, a 60 GHz millimeter wave radar and an environment sensor array are integrated in a robot body. By installing the multi-mode sensing unit, the non-contact emotion recognition function is achieved, in combination with contact detection of the intelligent bracelet on the signs of the patient, the bottleneck of non-contact emotion and sign cooperative monitoring is broken through, the emotion sensing ability of the patient is improved, and the medical service quality is improved.

The invention discloses an ophthalmology AI intelligent ward control system and method based on voice interaction. The system comprises an anti-noise voice acquisition unit, a multi-modal identity verification unit, a specialized semantic analysis unit, a medical rule engine unit, a safety protection unit, a multi-modal feedback unit and a dynamic optimization unit. Medical equipment noise is filtered out through a microphone array and an adaptive beam forming technology, and an instruction is analyzed in combination with a dialect recognition engine; executing triple identity verification, and performing forced superposition authentication on the cognitive impairment patient; calling an ophthalmology knowledge base to identify the risk keyword and generate a structured instruction; dynamically regulating and controlling the environment according to the eye disease type, and intercepting violation settlement according to a medical insurance rule; precise equipment voice control is forbidden, and when an emergency keyword is triggered, an OCT image is pushed preferentially and is directly connected with a physician; a big-character highlight interface and tactile pulse feedback are provided for the visually impaired patient, and data are synchronized to the HIS system in real time; and the dynamic optimization unit continuously updates the knowledge base and the medical insurance model. According to the invention, the instruction identification precision, the medical safety and the service suitability of the ophthalmology ward are obviously improved.

Systems for voice control of medical devices in a healthcare facility are disclosed herein. The systems employ continuous speech processing software, voice recognition software, natural language processing software, and other software to permit voice control of the medical devices. Systems are also provided for distinguishing which medical device from among multiple medical devices in a patient room is the particular medical device to be controlled by voice input from a caregiver or a patient.

The invention provides a hierarchical medical scene-oriented dynamic interference cooperative communication optimization system and method, and relates to the technical field of medical data communication security. The hierarchical medical scene-oriented dynamic interference cooperative communication optimization method comprises the following steps: S1, based on hierarchical medical scene differences of emergency treatment, ICU and common wards, realizing covert communication by using native physiological data transmission mutual interference signals of multiple devices in a medical monitoring network; s2, different communication security thresholds and data timeliness indexes are set for different levels of scenes; and S3, constructing a dynamic interference coordination framework, and realizing interference intensity adaptation by adjusting the transmission power (Pi) of the medical equipment and the dedicated channel gain (hj, iva). According to the invention, through linkage with the HIS system, differentiated safety thresholds and timeliness indexes are set for emergency treatment, ICU and common wards, and priority requirements of different scenes are accurately met; parameter synchronization can be rapidly completed during cross-scene transfer, and the problem of connection lag of a traditional scheme is solved.

The invention discloses an intelligent ward risk assessment method and system, a product and a medium. The method comprises the following steps: synchronously monitoring breathing audio and mattress pressure signals of a patient, and identifying discrete action events with remarkable amplitude and duration from pressure data; further judging whether the breathing of the patient is abnormal or not before and after the action events occur, for example, the breathing rhythm is interrupted for a long time or the breathing cycle obviously deviates from a baseline; when the two conditions of the violent action and the abnormal breathing cooperatively occur, an effective cooperative event record is confirmed; according to the amplitude and the duration of the action in the event and the severity of the abnormal breathing, weighted summation is carried out through a preset risk weight, and a single event risk score is calculated; and accumulating all event risk scores in an evaluation period to obtain a comprehensive risk score, comparing the comprehensive risk score with a risk threshold, and outputting a risk level. By implementing the technical scheme provided by the invention, the accuracy of clinical compound action risk early warning of the patient is improved.

The invention discloses an intelligent monitoring method for a ward monitoring system, and aims to solve the problems of multi-source data isolation, response lag and poor scene adaptation of the existing ward monitoring technology. The method comprises the following steps: performing multi-source monitoring data fusion processing, integrating patient physiology, equipment state and ward environment data, unifying formats, and constructing data logic association; performing real-time illness state analysis, judging data reliability in combination with equipment state, finding influence factors by environmental data, and dynamically adjusting a threshold value to generate an analysis report; performing cross-device collaborative response, and starting corresponding early warning according to the disease level; continuously optimizing data feedback, and regularly evaluating and adjusting the model and the flow. Through multi-source data collaboration and closed-loop optimization, ward monitoring accuracy and illness state intervention timeliness are improved, and the method is suitable for hospitalized wards, intensive care units and other scenes.

The invention relates to the technical field of medical information smart wards, in particular to a smart ward management method and system based on the Internet of Things. Environmental parameters in a smart ward and physiological parameters of a patient in the smart ward are obtained; performing comprehensive analysis according to the environmental parameters and the physiological parameters to obtain corresponding analysis results; and according to an analysis result, a control instruction used for adjusting environment equipment in the smart ward is generated and / or corresponding guidance information is sent to the management end, so that the ward environment and the patient state are combined, and integrity and collaboration are realized. Intelligent management and real-time monitoring and response of the ward are realized through the control instruction and / or guidance information, the timeliness of medical services is improved, dynamic allocation of medical resources is facilitated, the resource utilization efficiency is improved, the operation process is greatly simplified, and the use experience of medical staff and patients is improved.

The invention relates to the technical field of medical Internet of Things, and provides a ward patient sign information acquisition and intelligent Internet of Things control method, which comprises the following steps: acquiring patient multi-dimensional sign data by adopting a wearable sensor and sickbed peripheral monitoring equipment, and transmitting the data to a hospital data center through Internet of Things gateway hybrid networking after data processing; the data center analyzes the data by adopting a dynamic threshold model and generates early warning; and according to the early warning type and the emergency degree, intelligent equipment in the ward is controlled, and a control strategy is optimized according to equipment feedback. According to the invention, a traditional fixed threshold monitoring mode is changed, personalized accurate monitoring is realized, and misjudgment and missed judgment are avoided; multi-device cooperative collection and intelligent control linkage are achieved, and the ward environment and the device state are accurately adjusted; through data mining and prediction, the health risk of the patient is intervened in advance, a monitoring, control and optimized closed-loop system is formed, the medical monitoring accuracy and reliability and the ward intelligent management level are remarkably improved, and the personalized rehabilitation requirements of the patient are met.

The invention relates to the technical field of environment control, discloses a ward air humidification system, and aims to solve the problems of extensive humidification method, high energy consumption, cross infection, low management efficiency and the like in the prior art. The system realizes intelligent humidification execution through environmental data acquisition, patient information acquisition and central processing decision, and realizes network communication and human-computer interaction management. Through multi-source data fusion, intelligent prediction optimization and refined health guarantee, ward humidity dynamic accurate management is realized, comfort and health of patients are improved, operation cost is reduced, and respiratory tract infection is effectively prevented.

The invention discloses a critical patient rehabilitation evaluation system based on artificial intelligence, particularly relates to the technical field of medical information and intelligent rehabilitation evaluation, and is used for solving the problems that in an intensive care unit, multi-source data are not synchronous, nursing and treatment events are often caused, sedation and ventilation fluctuation pollution is caused, and the problem of serious illness is solved. And thus, the problem of distortion in judgment of which level cannot move nowadays and can move to can be solved. A unified time base is established through three types of anchor points of nursing, body position and cardiopulmonary rhythm, passivity and autonomy are judged in an influence time period, and the passivity is deducted and reserved; and then sedation, circulation, respiratory support and medication are compiled into safety budget with delay, linkage evidence quantity and uncertainty adjustment release rhythm, and degradation and rollback are triggered by an anti-fact track of margin segmentation, so that an executable prescription of'activity, reachable grade and reason 'is output beside a bed, event pollution and physiological fluctuation are inhibited, and the aim of preventing and treating the patient is fulfilled. And maloperation and missed operation are reduced.

The invention discloses an ICU pipeline storage device, and relates to the field of ICU pipeline storage, the ICU pipeline storage device comprises a supporting table, a mounting column is fixedly connected to the top of the supporting table, a plurality of adjusting blocks are slidably connected to the mounting column, and an adjusting ring is rotatably connected to the outer surface of each adjusting block. The height of the adjusting block can be easily adjusted, and then the adjusting ring, the connecting frame and the storage plate are driven to move to the required storage height. And meanwhile, the adjusting ring can rotate on the adjusting block, so that the storage plate can be conveniently adjusted to a proper angle. By means of the flexible height and angle adjusting function, the device can meet the containing requirements of pipelines at different positions. Medical staff can quickly adjust the storage plate to the optimal position according to actual scenes, so that the pipelines can be conveniently stored and arranged, the situation that the pipelines are crossed and disordered is effectively avoided, the environment of an ICU ward is neater and more orderly, and powerful support is provided for smooth development of medical work.

The invention relates to the technical field of ventilation assemblies, and discloses a medical negative pressure isolation ward ventilation regulation and control assembly which comprises a ward local wall body, a first ventilation pipe is installed in the ward local wall body, a second ventilation pipe is installed at the rear end of the first ventilation pipe through a side plate, and an external line disinfection pipe is installed on the inner side of the side plate. And an air inlet pipe is mounted at the rear end of the second ventilation pipe through a mounting plate. According to the medical negative pressure isolation ward ventilation regulation and control assembly, an external line disinfection pipe is installed between a first ventilation pipe and a second ventilation pipe, the positions of the two sides of the external line disinfection pipe are limited through side plates, meanwhile, a plug pin is installed in an installation sleeve to limit the position of the external line disinfection pipe, and the convenience of structure assembly and disassembly is ensured; and after the external wire disinfection pipe is detached, the bolt can be rotated to adjust the elasticity of the spring, and meanwhile, the activated carbon can be detached and replaced, so that the convenience is improved during subsequent maintenance.

The invention discloses a reminding device for clinical nursing and monitoring in a ward, relates to the field of clinical nursing, and solves the problem that an existing reminding device is difficult to ensure that a patient or surrounding people are prompted in time, the reminding device comprises a device shell and a shooting probe installed at the top of the device shell, and a display screen is fixedly installed on the outer side of the device shell; a calling button is arranged below the display screen, a microphone and a loudspeaker are fixedly installed on the two sides of the display screen respectively, and the two sides of the device shell are each provided with two moving wheels which are symmetrically distributed; the prompting mechanism is used for enabling the device shell to call and prompt surrounding personnel in time, and the prompting mechanism is mounted on the inner side of the device shell; by means of the prompting mechanism, when a patient is abnormal, the four moving wheels can drive the device shell to move along the bed head of the ward, two loudspeakers make sounds in time, people around the ward can find the abnormal conditions in time, the safety is higher compared with a traditional loudspeaker, and therefore the safety prompting effect is achieved.

The application relates to the technical field of human resource management, in particular to a medical staff scheduling system based on medical staff skills, which comprises a standard skill input and classification device, which is used for inputting the working skills of each department, dividing the same working skills of each department into general skills, and dividing the special working skills of each department into special skills; a department patient input device, which obtains the treatment information of patients in each department ward, extracts the predicted workload of each patient in the next scheduling cycle, and counts the predicted workload of each department; the predicted workload comprises the execution times of each general skill and the execution times of each special skill; the system realizes cross-department dynamic scheduling by constructing a hospital-level skill resource pool and a demand prediction mechanism, standardizes the general skills into shared resources, and enables medical staff to flexibly support departments with high demand peaks.

The utility model discloses a special intelligent nursing calling device for a tumor ward, which relates to the technical field of calling communication and comprises a calling device, a plurality of calling buttons are mounted on the outer side of the calling device, a microphone hole is formed in the outer side of the calling device, a wireless transmitting and receiving module is mounted on the top surface of the calling device, and a wireless communication module is mounted on the wireless transmitting and receiving module. When the device is used, disinfectant in the water tank can be pumped through the water inlet pipe by starting the micro water pump, is discharged into the communication seat through the drainage pipe, is sprayed out through the atomization nozzle, and is matched with the moving mechanism to drive the moving plate to slide; and an atomized disinfectant is driven to be uniformly sprayed on the outer surface of the call button, and the call button can be cleaned and dried in cooperation with a cleaning brush, so that the carrying quantity of bacteria on the call button is reduced, and the call button is convenient to use next time.

The invention provides a cardiology department nursing transfer bed, and relates to the field of transfer beds. The nursing transfer bed for the department of cardiology comprises a bottom frame, a support is arranged at the upper end of the bottom frame, a supporting plate is fixedly connected to the middle of the inner wall of the support, and a reinforcing rod is fixedly connected to the front end, close to the supporting plate, of the support. According to the invention, a synchronous electric push rod drives a cam rotating stand, a connecting rod and a connecting rotating rod to be linked, and the cam rotating stand and a fixed rod are matched structurally, so that the bed body is stably lifted and can be accurately matched with the heights of a ward bed, an examination bed and the like, and a servo motor, a screw rod, a threaded sleeve block, a hinge rod and an auxiliary rotating rod are matched to achieve a synergistic effect; the angle of the head plate can be stably and accurately adjusted, the first electric push rod achieves flexible adjustment and control of the leg plate to form a sitting posture state, the second electric push rod drives the whole bed body to rotate through the connecting frame and the rotating column, and physical load and operation risks are greatly reduced when nursing personnel transfer a patient.