7 results about "Nursing workload" patented technology

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.

A new type of bed guard rail plate, the main body is composed of two symmetrical guard plates, and the outside of the joint is provided with a hinge, and the inside of the joint is provided with a lock buckle, the outer end of the guard plate is provided with a supporting column, the lower end of the guard plate is provided with a rotating shaft, the bed is provided with a clamp and a shaft seat, the lower end of the supporting column is inserted and locked in the clamping hole of the clamp, and the rotating shaft is arranged in the shaft hole of the shaft seat. When used normally, the guard rail plate can prevent the patient from falling off the bed, and the patient can sit comfortably when sitting on the bed, and the sleeve on the handrail is convenient for the patient to exercise the palm grip. When the patient needs to get out of bed, the two guard plates are closed, which is convenient for the patient to get out of bed, and the patient can hold the other guard plate after getting out of bed, especially for the early patients, which has good protection and can reduce the nursing workload. When the patient needs to be transported by the bed, the bed guard rail plate is turned down to open the whole, which is convenient for the patient to be transported by the bed.

The invention relates to the technical field of medical auxiliary instruments, in particular to an auxiliary sepsis treatment device which comprises an outer tube, an occlusion seat sleeve is arranged on the outer side of the middle of the outer tube, an inner tube and a sleeve are arranged on the inner side of the outer tube, the sleeve is arranged between the inner tube and the outer tube and slidably connected into the outer tube, and the head of the sleeve is rotatably connected with a lantern ring and an opening part. The multiple distraction pieces are arranged on the lantern ring in an annular array mode, the distraction pieces wrap the outer side of the head of the inner pipe, and the problems that in the prior art, due to the fact that a device for auxiliary treatment of sepsis does not have a special fixing structure designed for a pipeline, the pipeline is prone to displacement and is indirectly pressed, the ventilation effect is affected, and the pipeline cannot be directly pressed are solved. And when the patient unconsciously occludes, no active early warning and resetting functions exist, the unconscious occlusion behavior of the patient cannot be monitored, resetting cannot be achieved through active actions of the patient, manual intervention of medical staff is needed, the nursing workload is increased, and discomfort is brought to the patient.

The invention discloses a hospital nursing human resource allocation method based on data perception and dynamic early warning. The method comprises the following steps: constructing a patient, nurse, environment and operation multi-dimensional data acquisition system, and preprocessing acquired data; a weighted summation algorithm is combined with specialized dynamic weight adjustment to quantify the individual nursing workload of the patient, a nurse ability coefficient and an operation difficulty coefficient are associated through a man-hour mapping model, and then the future nursing demand man-hour is predicted; integrating the dynamic manpower demand, the baseline manpower, the anticipated reserve manpower and the health redundant manpower, and calculating to obtain a total manpower demand; yellow and red graded early warning is triggered through multi-dimensional gap analysis and dynamic early warning threshold setting; a deployment recommendation scheme is generated based on a multi-objective optimization algorithm, and intelligent deployment is executed based on a three-level deployment system in the department, in the hospital and across the hospital and an emergency deployment mechanism. According to the invention, the manpower demand quantification precision and the deployment execution efficiency can be improved.

The utility model relates to the technical field of medical treatment, in particular to an inflatable medical nursing pad, which comprises a nursing pad main body and an inflator pump body, the nursing pad main body comprises a cloth liner, and a plurality of groups of odd-numbered air bag modules and even-numbered air bag modules are adhered to the top surface of the cloth liner. A plurality of sets of ventilation grooves corresponding to the odd-number air bag modules and the even-number air bag modules are formed in the cloth liner in a penetrating mode, hook-and-loop fasteners are fixedly installed on the peripheries of the bottom faces of the odd-number air bag modules and the even-number air bag modules in each set, and external thread air nozzles are fixedly installed on one end faces of the odd-number air bag modules and the even-number air bag modules in each set. A plurality of groups of air holes distributed at equal intervals are formed in each group of odd-numbered air bag modules and even-numbered air bag modules in a penetrating manner, the plurality of groups of odd-numbered air bag modules, the plurality of groups of even-numbered air bag modules and the inflator pump body are respectively communicated and connected through odd-numbered chamber pipelines and even-numbered chamber pipelines, the overall air permeability is better, the nursing workload is reduced, the maintenance is convenient and fast, and the maintenance efficiency is improved. The maintenance cost is reduced.

This invention belongs to the field of medical service technology and discloses a method and system for collaborative scheduling of nursing services based on multi-source data fusion. It involves real-time collection of multi-source heterogeneous data from nursing scenarios, cleaning, standardizing, and extracting features from the data to construct multi-dimensional feature vectors. A deep learning prediction model is then constructed, and the multi-dimensional feature vectors are input into the model to output prediction results, which at least include the patient's nursing needs type, intensity, and spatiotemporal distribution. Based on a deep reinforcement learning algorithm combined with the prediction results, a real-time nursing service scheduling strategy is generated, and a co-evolutionary mechanism is used to achieve task allocation and path planning among multiple nursing units. This improves the utilization rate of nursing resources and overall service efficiency throughout the hospital, effectively reducing nursing workload.

The invention provides a safety monitoring and protection system for a sickbed, and the system comprises a data detection module which collects an original data set through a hardware assembly; the data processing module is used for performing signal processing, data fusion and feature extraction to obtain a structured basic state data set of the patient; the off-bed judgment module is used for carrying out patient body position recognition, off-bed detection and bedside approaching detection to obtain a posture judgment result, an off-bed judgment result and a bedside approaching judgment result; the risk assessment module calculates a bedsore risk score, a suffocation risk score and a falling risk score to obtain a multi-dimensional risk score; the alarm decision module performs graded alarm; and the safety protection module is used for physically adjusting the sickbed, generating a nurse task list and nursing the patient. According to the system, continuous monitoring, quantitative risk assessment and graded warning of the body position, the off-bed behavior, the vital signs and the environment state of the patient are achieved, the safety of the patient is guaranteed, the nursing workload is remarkably relieved, and the occurrence rate of adverse events is reduced.