41 results about "Care staff" patented technology

The invention relates to the technical field of clinical nursing management, and discloses an intelligent nursing system and method based on clinical big data, and the system comprises a clinical nursing node supervision module, a clinical nursing personnel allocation module, and a clinical nursing execution module. According to current nursing time point information, in combination with an intelligent search algorithm and target patient clinical nursing plan information, patient clinical nursing project information is accurately extracted, clinical nursing projects are efficiently customized and supervised for patients at different clinical nursing time nodes, and the service quality and efficiency of clinical nursing are improved; the optimal clinical nursing personnel is accurately and scientifically screened based on the clinical nursing project information of the target patient, the working state of the clinical nursing personnel and the spatial distance information between the clinical nursing personnel and the patient, intelligent allocation of the clinical nursing personnel is achieved, and the response speed and scientificity of clinical nursing are improved.

The application discloses a medical care data intelligent evaluation system based on multi-modal data fusion and belongs to the technical field of medical care. The application solves the problems that the existing technology has subjective bias, the evaluation results of different medical staffs for the same patient can be different, and the medical data source is single and cannot comprehensively reflect the patient information. Through the real-time feedback of nursing staff, the frequency of model update is dynamically adjusted by combining the frequency of abnormal data in the feedback results in a period of time, so as to reduce the misjudgment caused by model bias; the abnormal data in the multi-modal data is identified by calculating Z-score, the time series data is set as high priority, and the abnormal data in the high priority is preferentially fed back to the nursing staff, which not only improves the response speed of the nursing staff in the face of abnormal conditions, but also optimizes the allocation of nursing resources, so that the nursing staff can more timely handle the emergency, thereby improving the nursing quality and patient safety.

The invention relates to the technical field of intelligent infusion monitoring, and discloses a remote intelligent infusion management system which comprises a data acquisition module used for acquiring infusion container weight data, liquid flow data, medicine characteristic parameters, patient physiological parameters and nursing personnel real-time position data in real time; the dynamic compensation module is used for calculating the remaining infusion time according to the infusion container weight signal, the flow data, the medicine characteristic parameters and the patient physiological parameters which are obtained in real time; the graded early warning module is used for generating a multi-stage early warning instruction according to the remaining infusion time and a preset threshold value set, and synchronously generating an acousto-optic prompt of a nurse station center console; and the resource scheduling module is used for generating a scheduling path according to the early warning instruction and the real-time position of the nursing personnel. Full-link closed-loop management of accurate prediction-hierarchical alarm-intelligent scheduling is formed, and the prediction accuracy and the scheduling efficiency are improved.

The application provides a long-term care insurance service process auditing and verifying method based on multi-source space-time fingerprints, and belongs to the technical field of long-term care insurance service supervision. The method solves the problem that the existing technology cannot confirm whether the nursing staff is actually present and the service behavior. The method comprises the following steps: generating an irregular electronic fence matched with the physical boundary of a service site; periodically collecting wireless environment signals around the mobile terminal of the nursing staff after the terminal enters the fence; collecting human activity state data through physical sensors in the service site; finally, performing consistency coupling verification based on the pre-designed service duration, wireless environment signals and human activity state data to determine the authenticity of the nursing service. The application fuses wireless environment fingerprints and human activity data of physical sensors to construct a dual verification mechanism of "device presence" and "personnel activity", which can effectively prevent fraud and realize high-credibility auditing of the whole service process.

To provide a system which coordinates information on care facility residents, between a medical institution such as a hospital, and a staff of a care facility group which collaborates with the medical institution.SOLUTION: A medical care facility collaboration system: constructs an information sharing network between a medical institution and a care facility group; previously shares information required for medical treatment of a patient, by the network; enables consultation via the network between a staff of the medical institution and the staff of the care facility about change of condition of a resident; promptly performs inspection or medical treatment for the resident having aggravation risk, while reducing mental burden of a care worker; and prevents aggravation. The medical care facility collaboration system comprises: facility registration means which registers facility names of the medical institution and the care facility; staff in charge registration means for each facility which registers the staff in charge for each facility; and message time series display means which displays transmission and reception of messages between the staff in charge of the medical institution and the staff in charge of the care facility, in time series.SELECTED DRAWING: Figure 1

A bed-leaving prediction device (server device) (10) is connected through a digital communication network (60) to: a portable information processing terminal (40) of care staff; environmental sensors (32 to 34) for detecting environment values such as temperature in a room; a human sensor (31); and a bed sensor (35). A bed-leaving prediction processing section (115) calculates a bed-leaving prediction value indicative of a degree of possibility that a care recipient leaves a sleeping furniture after a second time interval has expired since a current time point based on a plurality of environment values detected in a time period between the current time point and a time point before expiration of a first time interval, outputs of the human sensor, and outputs of the bed sensor. A bed-leaving notification processing section (117) compares the bed-leaving prediction value with a threshold value, and transmits, to the portable information processing terminal, a bed-leaving notification indicating that the care recipient leaves the sleeping furniture after the second time interval expires when the bed-leaving prediction value exceeds the threshold value.

The invention relates to the technical field of medical treatment and health, in particular to a nursing personnel-oriented workload monitoring method and system, and the method comprises the steps: deploying multi-modal data collection equipment, and collecting the physiological data, with time sequence information, of nursing personnel; generating a physiological load dynamic curve based on the physiological data with time sequence information of the nursing personnel; extracting a feature vector of the physiological load dynamic curve and inputting the feature vector into a preset workload evaluation model; the workload evaluation model calculates a deviation value between the input physiological load dynamic curve and the standard physiological load dynamic curve of the corresponding working time period, and the workload evaluation model outputs an evaluation result based on a comparison result of the deviation value and a preset threshold value. According to the invention, the actual working characteristics of the nursing scene can be combined, and the workload of the nursing personnel can be accurately monitored in real time.

The application relates to the technical field of massage training, and discloses a pediatric traditional Chinese medicine acupoint massage training system, which comprises a nursing terminal interaction module, a training data acquisition module, an intelligent evaluation module and a management terminal interaction module. The real-time adjustment amount is generated by corresponding training standards of the training case selected by nursing staff and the massage data collected when the nursing staff is trained, the real-time adjustment amount is used for real-time reminding and correction of wrong methods, the accuracy of acupoint massage is improved, the efficiency of learning massage of the nursing staff is improved, the comprehensive evaluation coefficient is obtained by evaluating the massage data when the nursing staff is trained, the subjectivity of the traditional evaluation mode is avoided, the objectivity of the training evaluation is improved, the nursing staff is rated and the rating is predicted according to the comprehensive evaluation coefficient, the training report of the massage training process of the nursing staff is generated, and the training report is checked by a management doctor and the nursing staff.

The utility model discloses an auxiliary cleaning device based on patient nursing, which comprises a bed body, a contraction mechanism is arranged in the bed body, a supporting mechanism is arranged at the bottom of the bed body, the supporting mechanism comprises a supporting assembly and a cleaning assembly, the supporting assembly comprises a connecting plate arranged at the bottom of the bed body and a supporting plate rotationally arranged in the bed body, and the connecting plate is connected with the supporting assembly; an inclined plate is fixedly connected to the bottom of the supporting plate, an equipment box is fixedly connected to the top of the connecting plate, a sliding block is slidably connected to the interior of the equipment box, a supporting rod is fixedly connected to the top of the sliding block, and a round block is fixedly connected to the top end of the supporting rod; the utility model relates to the technical field of medical nursing. According to the auxiliary cleaning device based on patient nursing, by arranging the supporting mechanism, the supporting plate is adjusted from the plane state to the inclined state, so that the back of a patient is supported, the patient leans on the bed body, and nursing personnel can conveniently clean the hands or the body of the patient.

This invention relates to the field of visual monitoring technology and discloses a method and system for monitoring the safety status of nursing staff. The method includes: performing three-dimensional posture reconstruction on the monitoring video of the nursing staff to obtain skeletal posture imaging; performing pixel-level semantic segmentation on the monitoring video to obtain the nursing staff's wearing status data; conducting a compliance assessment on the skeletal posture imaging based on the nursing staff's standard operating procedure document to obtain the nursing staff's operational standardization score; performing kinematic analysis on the skeletal posture imaging to obtain the nursing staff's biomechanical load index; conducting a multi-dimensional risk assessment on the operational standardization score, wearing status data, and biomechanical load index to obtain a comprehensive safety assessment result for the nursing staff; and encapsulating the comprehensive safety assessment result into a decision to obtain a safety status report for the nursing staff. This invention can improve the efficiency of monitoring the safety status of nursing staff.

The utility model relates to the technical field of medical instruments, in particular to an obstetrics and gynecology nursing frame facilitating dressing change, which comprises a bottom plate, an adjusting mechanism is mounted on the upper surface of the bottom plate, a folding component is mounted at the top of the adjusting mechanism, a storage component is mounted at one end of the folding component, and the adjusting mechanism comprises a fixing rod. According to the improved nursing frame, the space of the nursing box is reasonably distinguished, nursing personnel can quickly select proper accessories according to actual requirements, the dressing change process is more compact, the dressing change efficiency is improved, and the dressing change efficiency is improved. The whole nursing box is pulled through a second supporting rod, the nursing box can be directly erected above a sickbed, nursing personnel can directly take medicine and change medicine conveniently, the height of the nursing box at the front end can be finely adjusted in cooperation with an adjusting mechanism, and the nursing box is prevented from pressing the body of a patient.

The utility model discloses an artificial insemination sampling device for nursing in the reproductive department. The artificial insemination sampling device comprises a sampling needle cylinder and a control mechanism, a sampling tube is arranged at a sample inlet in the left end of the sampling needle cylinder, a sampling needle head is mounted on the outer arc surface of the sampling tube, an external thread ring is arranged at the right end of the sampling needle cylinder, the outer arc surface of the external thread ring is in threaded connection with a sleeve, a sliding rod is slidably connected into the sampling needle cylinder, a rubber plug is arranged at the left end of the sliding rod, and the outer arc surface of the rubber plug is attached to the inner arc surface of the sampling needle cylinder; according to the artificial insemination sampling device for nursing in the reproductive department, power is provided for movement of an artificial insemination sample in a mechanical driving mode, the artificial insemination sampling operation difficulty is reduced, air in the sample is conveniently exhausted, meanwhile, waste of the sample is reduced, and the labor intensity of workers is reduced. The artificial insemination sampling work of nursing personnel in the reproductive department is more convenient.

The invention provides a 3D nursing teaching system, and relates to the technical field of nursing teaching, the teaching system comprises a mobile terminal and a server terminal, the mobile terminal performs 3D modeling and rendering on an object used in nursing teaching based on a Un-ity game engine to restore a nursing scene; after a user logs in the mobile terminal, the mobile terminal randomly calls a game scene matched with the identity of the user according to the identity of the user for the user to break through, the mobile terminal can timely push examination questions of the corresponding scene in the break-through process of the user, the user can carry out nursing simulation operation in the game scene while doing the questions on the mobile terminal, and after break-through is completed, the user can play the game scene according to the game scene. The system generates a breakthrough breakthrough score of this time; the score of each breakthrough is accumulated, and the score is counted into a total individual score. A user, namely a nurse, can consolidate theoretical knowledge on the system and also can exercise nursing operation, and the theoretical and skill levels matched with the identity of the user are improved through different breakthrough.

This invention relates to the field of smart healthcare nursing technology, and discloses a method and system for recommending care for the drainage site of patients with bile leakage. The system includes: a data acquisition module for real-time acquisition of bile drainage data and skin condition data around the drainage site; a cloud-based decision-making module with a built-in nursing plan recommendation model linked to a bile leakage nursing knowledge graph, used for fusion analysis of multimodal data and generation of personalized nursing plans; a local execution terminal for receiving and displaying the nursing plan, guiding nursing staff to execute it, and recording actual nursing operation data; and a closed-loop feedback module for transmitting actual execution data and post-nursing status data back to optimize the nursing plan recommendation model and the bile leakage nursing knowledge graph. This invention solves the technical problems of subjective assessment, experience-dependent decision-making, non-standard execution, and difficulty in accumulating knowledge in traditional nursing, achieving standardization, personalization, and continuous self-optimization of bile leakage drainage site care.

A system is provided.SOLUTION: A system, comprising: means for generating a personalized care plan using a generated AI model; means for displaying the generated care plan; means for predicting future health needs using the generated AI model; means for notifying care staff of the predicted results and the care plan; and means for collecting feedback from the user and utilizing it to retrain the model.SELECTED DRAWING: Figure 1

A system is provided.SOLUTION: A system comprising: means for acquiring behavior data of a person to be cared for; means for transmitting the acquired behavior data to a server; means for analyzing the behavior data received by the server and identifying needs and behavior patterns of the person to be cared for; means for generating predicted support information based on the identified needs and behavior patterns; and means for notifying a nursing staff of the generated support information.SELECTED DRAWING: Figure 1

The invention provides a scientific research achievement data identification management system and method based on clustering analysis, and belongs to the technical field of scientific research management, and the method specifically comprises the steps: determining a verification processing method of a correlation degree evaluation model according to the data of nursing personnel in a scientific research management system and a clustering analysis result of submitted data of a target type file, performing verification processing on an evaluation analysis result of the correlation degree evaluation model based on a verification processing method, and when determining that the evaluation analysis result of the correlation degree evaluation model meets the requirement based on the verification processing result, determining the correlation degree of the scientific research file based on the correlation conditions of different target type files and the scientific research file and in combination with the deviation condition of the verification processing result. And an existing scientific research data identification management method is determined, so that the accuracy of a correlation degree evaluation result is ensured.

Apparatuses and methods for monitoring and verifying the performance of one or more patient health care protocols may identify appropriate patient protocols, organize patient protocols across multiple patients for specific caregivers and / or hospital units, display and / or order patient protocols, and / or track compliance with the patient protocols. Protocols may be determined from patient healthcare records and delivered to healthcare staff. The healthcare staff can perform or execute the patient care protocols and the apparatus or method may automatically and non-obtrusively collect evidence that the care protocol has been performed. The patient's healthcare records can be updated to include care protocol verification information.

An object of a system according to an embodiment is to reduce a burden on a nursing care staff through conversation with and watching over a dementia patient.SOLUTION: A system according to an embodiment includes a conversation partner unit, a watching unit, and a burden reducing unit. The conversation partner unit becomes a conversation partner of the dementia patient by using the generated AI. The watching unit monitors the behavior of the dementia patient by the conversation partner unit, and notifies the nursing care staff when there is an abnormality. The burden reduction unit reduces a burden on the nursing care staff by the conversation partner unit and the watching unit.SELECTED DRAWING: Figure 1

A general surgical nursing device (1). During use, firstly, a medical staff member grasps anti-slip handles (7) to push the general surgical nursing device (1) to the side of a patient in need. A universal wheel mechanism (4) enables convenient movement of the device, and universal wheels can roll in all directions, allowing the general surgical nursing device (1) to be easily moved. When the general surgical nursing device (1) needs to be fixed, a universal wheel locking mechanism (5) can be used to lock the wheels, preventing the general surgical nursing device (1) from sliding. The coordinated use of the universal wheel mechanism (4) and the universal wheel locking mechanism (5) allows the general surgical nursing device (1) to be easily moved when needed and to remain stable when fixed. This flexibility is beneficial for conveniently adjusting the position of the general surgical nursing device (1) in practical applications. The design of handles (6) allows a nursing staff member to conveniently grasp the general surgical nursing device (1) and to move and operate the device.

The utility model relates to the technical field of nursing beds, in particular to an intelligent supporting handrail structure for a nursing bed, which comprises a deflection component, an electric push rod and two supporting handrails. The electric push rod is installed on the deflection assembly in a hinged mode, deflection of the electric push rod is achieved through the deflection assembly, the output end of the electric push rod is hinged to a first installation base, and a second installation base is detachably installed on the first installation base; the end parts of the two supporting handrails are connected with the second mounting seat through a mounting plate; the electric push rod can be close to or far away from the bed board through the deflection assembly, when the electric push rod reaches the state closest to the bed board, the body of a patient can be supported and fixed by pushing out the supporting handrail through the electric push rod, and the patient can sit up to relieve the bowels without supporting of nursing personnel; the labor intensity and the working time of nursing personnel are reduced, and the defects that the body of the patient slips and the waist of the nursing personnel sprains are overcome.

The present application relates to the technical field of intelligent task allocation, in particular to a kind of operating room nursing task intelligent allocation method and system, obtain nursing task instruction level and time period, match scheduling overlap task and personnel generation parallel section, match skill and level screening enough time personnel and match equipment, generate combination list and keep not over-capacity combination, obtain task binding result and evaluate load, according to priority allocation nursing task.The present application, by accurate matching of task time, personnel scheduling and equipment resources, realizes the automatic and intelligent task allocation.Through analyzing the overlap of task use period and nursing staff scheduling period, the tasks and personnel combination that can be executed in parallel are accurately extracted, and scheduling conflicts and time waste are avoided.Task allocation is further based on the skill level and remaining shift length of nursing staff, and is matched with the task execution length to ensure that each person undertakes appropriate tasks.

The present application relates to a kind of pre-cry sound recognition and nursing teaching system and method based on artificial intelligence, it is related to nursing education technical field, system includes: pre-cry stage sound acquisition module, for obtaining original pre-cry stage audio data;Audio pre-processing module, for obtaining standard audio feature data of stabilization;Demand feature identification module, for obtaining corresponding nursing demand identification result;Teaching situation mapping module, for obtaining the teaching guide information of adaptation learner level;Virtual and training module, for guiding learner to select virtual nursing operation based on teaching guide information, and the simulation evaluation of learner's pacification communication behavior is carried out simultaneously, and learner operation performance data and interactive response result are obtained;Teaching feedback and learning record module, for obtaining the quantitative teaching effect evaluation information.This system can improve the newborn demand assessment ability and communication ability of nursing staff.

The invention relates to the technical field of monitoring management, and particularly discloses a nursing personnel safety state monitoring method and system, and the method comprises the steps: obtaining a courtyard video in real time based on a public area camera, carrying out the recognition of the courtyard video, and determining the spatial feature value of each space unit in a virtual model; according to the space characteristic values of all the space units, environment characteristic values of all the positions are determined in the virtual model; obtaining individual information of nursing personnel, and determining own characteristic values according to the individual information; determining a monitoring area of each nurse according to the environment characteristic value and the self characteristic value, and sending the monitoring area to a public area camera; the abnormal conditions in different rooms are determined in real time, then the abnormal conditions of different positions in the hospital area are determined, then the abnormal conditions of the nursing personnel are obtained, the monitoring area is determined by combining the abnormal conditions of the nursing personnel and the abnormal conditions of all the positions in the hospital area, and the monitoring efficiency is improved while the monitoring effect is almost not reduced. And the cost is greatly reduced.

The application discloses a recommendation method, software and system for a hospital nursing scheme, and belongs to the technical field of hospital inpatient nursing. The application constructs a structured total nursing item library, a hospital nursing item sub-library and a nursing knowledge graph, generates a first nursing scheme based on the nursing knowledge graph, patient information and department information, and at least one matched nursing staff. Therefore, the recommendation method, software and system for the hospital nursing scheme can structure nursing content, construct a nursing knowledge graph, and recommend a reasonable nursing scheme and matched nursing staff for a patient based on the nursing knowledge graph while meeting the actual needs of the patient.

The invention provides a PDA-based mobile nursing task intelligent distribution method and system, and the method comprises the steps: firstly receiving nursing task demands (including nursing operation types and related object information) and nursing personnel state information (including workload conditions and skill adaptation conditions), and calling a nursing task distribution AI model to carry out bidirectional correlation modeling; and generating a task personnel initial association relationship. Then, an adaptation analysis framework is built, multi-dimensional correlation analysis is carried out on the matching condition of the nursing tasks and nursing personnel, and a preliminary nursing task distribution scheme is generated; then, feedback information of the nursing personnel for the preliminary scheme is collected through the PDA terminal, the preliminary scheme is dynamically adjusted and optimized in combination with the feedback information, and a final nursing task distribution instruction is generated and pushed to the corresponding nursing personnel PDA terminal. According to the invention, intelligent, efficient and dynamic nursing task allocation is realized, and the nursing quality and patient satisfaction are improved.

The invention provides a clinical nursing personnel management method and system, and relates to the technical field of clinical nursing personnel scheduling management, and the method comprises the steps: obtaining clinical nursing personnel data; acquiring clinical nursing demand data of the next scheduling period in the current database; newly added clinical nursing demand data in the next scheduling period are predicted through the to-be-nursed object change prediction model; according to the clinical nursing personnel data, the clinical nursing demand data and the newly added clinical nursing demand data, obtaining clinical nursing personnel arrangement of a next scheduling period through a scheduling suggestion model; and periodically optimizing the scheduling suggestion model through the dynamic feedback module according to the working condition after scheduling. The method has the advantage of realizing more flexible and reliable nursing personnel scheduling management with strong adaptive capability.

The flush lumen suction interdilator system for tracheostomy tubes can be a suction powered system that can replace conventional catheter based endo-lumen suction, used alone for suction of the tracheostomy tube, or used for a combination of flush and endo-lumen suction. The interdilator includes a chamber or region, and apertures to facilitate endo-lumen suction and cleaning at multiple locations within the tracheostomy tube. It can be applied / actuated on demand or on a periodic or triggered interval by the patient, healthcare staff, carer or via an electronic system in a hospitalised patient / hospital or outpatient / mobile care setting.

The invention discloses an inpatient area nursing risk dynamic assessment and performance linkage method and a related device, and the method comprises the steps: collecting the inpatient area nursing information of an inpatient area, and the inpatient area nursing information comprises DRG grouping data, patient risk data, nursing operation logs and manpower coincidence indexes; inputting the inpatient area nursing information into an inpatient area nursing risk assessment model to obtain a bearing capacity dynamic score of the inpatient area; linking the dynamic score of the bearing capacity of the inpatient area with the performance of nursing personnel to obtain a score result; and dynamically adjusting nursing human resource configuration according to the scoring result. The method comprises the following steps: inputting inpatient area nursing information into an inpatient area nursing risk assessment model to obtain a bearing capacity dynamic score of an inpatient area; and the performance of the nursing personnel is linked to obtain a scoring result, so that the nursing human resource allocation is dynamically adjusted, the human resource allocation is optimized while the nursing quality is improved, and the management level of a medical institution is improved.

The invention discloses an intelligent nursing information processing method and system, belongs to the field of intelligent nursing, and relates to the information processing technology, the intelligent nursing information processing system comprises a cloud server, and an information acquisition module, an information processing module and a task arrangement module which are in remote wireless connection with the cloud server; the information acquisition module is used for acquiring historical nursing times and corresponding nursing scores of all registered nursing personnel; the information processing module is used for acquiring nursing information and processing the acquired nursing information, and the information processing module carries out ascending order arrangement on nursing scores corresponding to historical nursing times according to the score of the nursing scores and carries out data screening; the information processing module calculates a value push value of a nurse by using a calculation formula, and the task arrangement module is used for receiving a nursing task, assigning the nurse to receive the task, marking a target nurse according to the value push value of the nurse, connecting the cloud server to obtain personal information of the target nurse, and assigning the nursing task through a contact way.