289 results about "Patient room" patented technology

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 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.

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 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 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 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 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.

The present application relates to the technical field of vital sign monitoring, in particular to a patient vital sign real-time monitoring and intervention response system for smart tumor ward, which comprises a skin thermal state recognition module, a communication abnormal period screening module, a vital sign event screening module, an intervention task generation module and an intervention response execution state construction module.In the present application, through joint analysis of temperature trend and communication abnormal period, the timing correspondence relationship between vital sign fluctuation and channel interruption is established, the data section of closed loop interruption risk is screened, the continuous change trend of body temperature, heart rate and respiratory rate is combined, the abnormal section and task state are labeled, the nursing terminal activation condition and control equipment number are matched, the hierarchical generation, state identification and response matching of the task are completed, the vital sign recognition is changed from static index to trend linkage, the task scheduling is extended from artificial driving to closed loop control, and the continuity of vital sign perception, the identification ability of communication interference and the connection efficiency of intervention execution in the ward scene are enhanced.

The invention relates to the technical field of medical instruments, in particular to a multifunctional bedside table integrated with a bed transfer table, which comprises a bed transfer table main body and a bedside table main body, the bed transfer table main body comprises a table panel, table legs and a base, the table panel is mounted at the top ends of the table legs, and the base is mounted at the lower ends of the table legs; the bedside table main body comprises a table body frame, a functional unit and a storage unit, an accommodating space is formed on the table body frame, the accommodating space is configured to completely or partially accommodate the bedside table main body, the functional unit is integrated on the table body frame, and the storage unit is arranged on the front surface of the table body frame. The bed transfer table is integrated on the bedside table, the bed transfer table does not occupy extra space in a non-use state, the ground space of a ward is released, and a channel becomes wider and smoother, so that the space utilization efficiency of the ward is improved, the risk that medical staff or patients are stumbled due to the fact that the bed transfer table is randomly placed is reduced, and the medical staff or patients are prevented from being stumbled. And a safer and more convenient environment is provided for emergency medical operation.

This invention provides a nurse call system, a nurse call method, and a nurse call program that can reduce patient waiting times. [Solution] The nurse call system according to this disclosure includes: a display means that, when a nurse call button located in a patient's room is pressed, displays the name of the patient who pressed the nurse call button and the elapsed time on a nurse's terminal and a display terminal; and a notification means that, when the nurse call button located in the patient's room is pressed, first sounds a notification tone on a nurse's terminal held by the nurse in charge of the patient; if the receiver button on the nurse's terminal held by the nurse in charge is not pressed within a predetermined time, sounds a notification tone on a display terminal located in the nurse's station; and if the receiver button on the display terminal is not pressed within a predetermined time, sounds a notification tone on a nurse's terminal held by each nurse in the ward.

The embodiment of the invention provides an intensive care data acquisition method and system, which can solve the problems of alarm fatigue, low equipment management efficiency and data islanding existing in an ICU environment for a long time. The method comprises the following steps: receiving a Bluetooth broadcast data packet reported by a plurality of Bluetooth gateways deployed in an ICU ward, wherein the Bluetooth broadcast data packet comprises Bluetooth Beacon signals periodically broadcasted by bed unit Bluetooth tags configured by a plurality of sickbed units and low-power-consumption Bluetooth broadcast signals from a plurality of Bluetooth converters; performing position estimation on each Bluetooth converter based on the Bluetooth broadcast data packet, so as to automatically bind the medical equipment and the bed units according to the spatial position relationship between the Bluetooth converters and each bed unit; and when the equipment monitoring data from the Bluetooth converter is received, associating the equipment monitoring data with the patient information of the corresponding bed unit, and generating a structured monitoring data record with the unique identification of the bed unit, the patient identification and the medical equipment identification.

The invention provides an intelligent delirium evaluation system for an intensive care unit, which solves the subjective limitation of a traditional delirium evaluation dependency scale through multi-modal data acquisition and mathematical model quantitative calculation, and specifically, acquires key data such as a brain tissue oxygenation index, a serum albumin concentration and a total plasma concentration in real time to obtain a delirium evaluation result. Through models such as a blood-brain barrier penetration coefficient and a free drug score, accurately calculating a core index of effective brain concentration, and dynamically adjusting an early warning threshold and a limb movement frequency in combination with ambient light intensity to divide risk levels; in the whole evaluation process, quantitative logic is constructed based on a pathophysiological mechanism, subjective judgment deviation of medical staff is avoided, and the problem of delirium intervention lag caused by missed judgment and misjudgment is effectively reduced.

To provide an information sharing system capable of tracking PICS information over a long period.SOLUTION: A PICS information sharing system according to the present invention includes a management server that manages PICS information, an ICU terminal, a general ward terminal, and an outpatient terminal, wherein the ICU terminal, the general ward terminal, and the outpatient terminal are connected to the management server via a network and view and update PICS information of a patient, the ICU terminal inputs function evaluation information when the patient leaves the ICU, and the management server registers the input function evaluation information as PICS information. A general ward terminal inputs function evaluation information when a patient leaves a general ward, a management server registers the input function evaluation information as PICS information, an outpatient terminal inputs function evaluation information when the patient receives medical care at an outpatient, and the management server registers the input function evaluation information as PICS information.SELECTED DRAWING: Figure 1

The movable flushing tower comprises the base, the stand column mechanism and the support mechanism, the supporting plate is detachably arranged on the small stand column of the stand column mechanism, and a medical instrument is fixed to the supporting plate, so that the problem that the utilization rate of the lower space of the flushing tower is insufficient is solved; therefore, the occupied area of the medical instrument in a limited operating room or an intensive care unit is reduced as much as possible. After the medical instrument is hung, the approach switch is arranged in the control circuit for locking, so that equipment damage caused by mistaken lifting under the condition that the medical instrument is hung can be prevented. The arrangement of the support brake block not only can prevent the support from being completely pulled out, but also can relatively fix the hook of the support, thereby being beneficial to preventing the infusion tube from being hung on the medical instrument.

The invention discloses an intensive care unit patient hospitalization time prediction method based on time-space historical features, and the method comprises the steps: screening patients from a public database MIMIC-IV, respectively extracting the static features of the patients and the dynamic features divided according to the hour granularity, and eliminating the dynamic features with a high missing rate. According to the method, features per hour of hospitalization records of a patient are input into a space-time encoder, features with time and space dependence are extracted, then original features and space-time historical features of historical time points are fused and input into a decoder, global and local space-time dependence is fully extracted, and the decoder outputs predicted remaining hospitalization time. In this way, the global and local dependency relationships among the dynamic data at different time points in the hospitalization records of the patient can be better captured. And finally, resource allocation is optimized and medical cost is reduced for the intensive care unit according to a prediction result, and meanwhile, scientific auxiliary decision support is provided for clinicians.

The invention discloses a high-energy pulse ultraviolet disinfection machine and a distributed system, and belongs to the technical field of public disinfection equipment, the high-energy pulse ultraviolet disinfection machine comprises a mobile machine body, universal wheels with brake devices are mounted at the bottom, a rack is mounted in the mobile machine body, a battery, a capacitor and a high-power power supply are sequentially mounted in the rack from bottom to top, and a screen is mounted at the top end of the mobile machine body; the sterilizing lamp is arranged at the top of the movable machine body, and a lifting mechanism used for adjusting the height of the sterilizing lamp is arranged in the rack. The high-energy pulse ultraviolet disinfection system can be flexibly moved and rapidly deployed, through cooperation of the multiple slave computers and the main control computer, the high-energy pulse ultraviolet disinfection system for multi-computer cooperative networking operation is formed, and disinfection spaces such as hospital wards, isolation places, school classrooms, conference centers and the like are rapidly and highly intensively disinfected without dead corners.

The invention discloses a multi-source information warning and reminding system and method for a smart ward, and the system comprises a data collection and processing module, a data fusion and analysis module, a data warning and reminding module, a warning data storage module, and a user interaction module. The data fusion and analysis module is connected with the data collection and processing module and the data warning and reminding module, and the warning data storage module and the user interaction module are both connected with the data warning and reminding module. By integrating the Internet of Things equipment and the hospital information system, the state of a patient is comprehensively perceived, the data fusion and intelligent analysis technology is utilized to carry out accurate risk study and judgment, efficient warning is realized through a collaborative distribution mechanism, the system is continuously self-optimized according to processing feedback of medical staff, and the medical staff can carry out medical care on the patient. An intelligent clinical decision support closed loop is constructed, conversion from passive response to active early warning is realized, and the method has the characteristics of comprehensiveness, accuracy and high efficiency.

A cloud-edge collaborative processing system includes: an edge computing system, an ICU diagnosis and treatment device, a service terminal device, and a cloud platform. The edge computing system collects multi-source heterogeneous medical data output from the ICU diagnosis and treatment devices and performs preprocessing, stores preprocessed data into an edge database, and connects to the cloud platform for data transmission and business interaction. The cloud platform connects to a plurality of edge computing systems to perform computation and processing of massive data. The medical-staff handheld terminals and the data terminals of wards are used to issue service instructions to the cloud platform to obtain the required third-party-business services.

This invention provides an intelligent delivery room care system integrating multimodal environmental control based on sound, light, and temperature, belonging to the field of medical care equipment technology. By integrating multimodal environmental sensing and control capabilities based on sound, light, and temperature, combined with real-time analysis of the mother's physiological and behavioral states, this invention achieves intelligent, personalized, and contextualized management of the delivery room environment. Its main advantages include: significantly reducing the mother's anxiety and pain perception during childbirth, increasing the success rate of natural childbirth; reducing the burden of environmental control operations on medical staff, improving nursing efficiency; supporting adaptive environmental switching across multiple stages and scenarios, meeting the needs of the entire cycle from labor to postpartum recovery; ensuring the dignity of the mother and data security through non-invasive monitoring and privacy protection design; and a modular system design that facilitates integration with existing hospital information systems (HIS) and intelligent ward platforms.

The application belongs to the technical field of digital information communication, and discloses an Internet of Things equipment unified communication and data integration platform for a smart ward; comprising: a data acquisition module, which acquires medical equipment analog operation data, performs data cleaning, and obtains a multi-source medical equipment data set; a delay compensation module, which performs data delay estimation and delay compensation on the multi-source medical equipment data set; an association correction module, which constructs an association event chain for a time sequence correction data set; an abnormality filtering module, which performs transmission signal abnormality filtering and outputs a fluctuation elimination data set; an inhibition adjustment module, which acquires ward broadcast information, performs inhibition correction on the ward broadcast information, and obtains inhibition correction broadcast information; and a unified transmission module, which integrates the fluctuation elimination data set and the inhibition correction broadcast information into a transmission data stream, and uses the transmission data stream for equipment communication; the accuracy and reliability of the smart ward Internet of Things equipment communication are improved.

The utility model provides a closestool guardrail capable of preventing a patient from falling down, which relates to the field of medical instruments and comprises an alarm device and a blocking mechanism. The blocking mechanism comprises a blocking piece which is arranged on the front side of the closestool and used for blocking a falling-down patient; and the trigger is used for starting the alarm device to give an alarm. Through the protection mechanism, the protection mechanism comprises the alarm device and the blocking mechanism, when the patient defecates forcibly and faint and falls down forwards due to insufficient blood supply, the patient about to fall down is blocked by the blocking piece, the patient is prevented from being injured due to faint and falling down during defecation, and meanwhile the alarm device is triggered through the trigger to give an alarm; and medical personnel in a ward and a nurse station are timely informed to carry out assistance.

The utility model provides an assembly type lead-free radiation protection device which comprises a box body, one side of the box body is provided with an opening, the opening is provided with a group of split type first protection door assemblies, and the first protection door assemblies are respectively hinged with the left side and the right side of the box body; each first protective door assembly comprises two protective doors which are arranged up and down and are opened and closed respectively, each protective door comprises a protective curtain and a frame driving the protective curtain to rotate, and when the two first protective door assemblies are closed, the protective curtains located on the left side and the right side are in left-right lap joint; and the upper and lower protective curtains in each first protective door assembly are overlapped up and down, so that the opening of the box body is closed. According to the assembly type lead-free radiation protection device, the infant incubator can go in and out and the opening of the incubator body can be sealed through opening and closing of the split first protection door assemblies, rays are prevented from leaking to the external environment during infant examination, and the health of other infants and medical staff in a ward is effectively protected.

The invention relates to the field of smart wristbands, and discloses a smart wristband data synchronization method and system for preoperative safety check, which are used for improving the accuracy of preoperative safety check. The method is applied to a system comprising a wrist strap, a ward reader-writer, a transfer reader-writer and an operating room reader-writer, and comprises the steps that the ward reader-writer generates a first synchronization instruction containing patient information and writes the first synchronization instruction into the wrist strap to initialize the wrist strap, the transfer reader-writer reads wrist strap data during transfer, generates a transfer verification record and writes the transfer verification record, and the wrist strap enters a transfer confirmation state; the operating room reader-writer reads data at an entrance to generate an operation checking list, multiple parties check together before skin cutting, and the handheld read-write device writes a confirmation result into the wrist strap to enable the wrist strap to enter an operation ready state to authorize an operation. Through a hierarchical data structure, multi-link verification and an emergency processing mechanism, accurate synchronization and safety of data are ensured, the efficiency and accuracy of preoperative safety check are improved, and operation safety is ensured.

The utility model relates to the technical field of treatment vehicles, in particular to a treatment vehicle capable of reducing load and noise. The treatment vehicle capable of reducing the load and the noise comprises a bottom plate, a supporting frame, universal wheels, a carrying plate, a handrail, a drawer, a guide plate, a lifting seat and the like. A supporting frame is arranged at the top of the bottom plate, universal wheels are arranged at the bottom of the bottom plate, a drawer is slidably connected into the supporting frame, a carrying plate is arranged at the top of the supporting frame, a guide plate is arranged at the top of the carrying plate, a lifting seat is slidably connected to the front end of the guide plate, a groove is formed in the middle of the guide plate, and a screw is arranged at the top of the carrying plate and located in the groove. According to the design of the screw rod and the lifting seat, the lifting seat is driven by the screw rod to descend, so that medicine bottles are fixed through the sponge cushion, the situation that in the moving process of the treatment vehicle, the medicine bottles collide with one another to generate noise, the rest of a patient in a ward is affected is avoided, and the problem that the medicine bottles are damaged due to collision with one another is also avoided.

The invention discloses a multi-mode non-contact intelligent early warning monitoring method and system, and relates to the technical field of intelligent medical monitoring. Four core physical sign data including body temperature, heart rate, respiratory rate and body movement are collected in a non-contact mode; filtering and denoising are carried out by adopting an LMS adaptive filtering and moving average filtering combined algorithm; extracting each physical sign characteristic parameter; the early warning level is judged through the improved BP neural network intelligent early warning model; when early warning is triggered, local sound-light alarm is started, and early warning information is synchronously pushed to the multiple terminals. The system not only realizes multi-sign non-contact, real-time and accurate acquisition, strong anti-interference capability, accurate early warning judgment and multi-terminal linkage alarm, is suitable for vital sign monitoring of scenes such as hospital wards and pension institutions, but also solves the problems that traditional contact monitoring is poor in comfort level, easy to cross infection and poor in monitoring effect. And the problems of weak multi-mode fusion capability, poor anti-interference performance and low early warning precision of the existing non-contact monitoring are solved.

The invention provides a postoperative walking safety management method and system based on multi-source data fusion, and belongs to the technical field of data processing, and the method specifically comprises the steps: determining the setting target of a fall monitoring tag in other patients with fall risk levels according to the data of a patient with a high risk level, and determining the fall risk level of the patient according to the setting target of the fall monitoring tag; according to the monitoring management method for determining the postoperative walking safety of the patient, ward areas for monitoring, analyzing and processing the walking safety are determined based on monitoring processing methods of different ward monitoring areas, and according to the patient data of the ward monitoring areas for monitoring, analyzing and processing the walking safety, the monitoring management method is used for determining the postoperative walking safety of the patient. And the setting mode of the newly added tumble monitoring tags of the patients with different tumble risk levels is determined, so that the reliability and comprehensiveness of tumble monitoring are improved.