382 results about "Medical setting" patented technology

Incident Summary:A computer-implemented method, computer program product and computing system for: monitoring a plurality of data signals associated with a patient within a medical environment; detecting one or more incidents defined within one or more of the data signals; and processing the one or more incidents defined within the one or more data signals to produce a summary of the one or more incidents so that a user may be quickly knowledgeable of these one or more incidents.

A system configured to facilitate monitoring a patient when the patient transitions between environments. The system can have an in-room display terminal configured to display indicia of a health of the patient for electronically monitoring the health of the patient within a healthcare environment. The system can receive, via the in-room display terminal, a request to initiate monitoring the patient with the in-room display terminal at the healthcare environment; access historical physiological data associated with the patient and generated by a home monitoring device before the patient enters the healthcare environment; access real-time physiological data associated with the patient and originating from a physiological monitoring device coupled to the patient within the healthcare environment; generate one or more physiological parameters from the real-time physiological data and the historical physiological data; and cause the in-room display terminal to display indicia of the one or more physiological parameters.

A computer-implemented method, computer program product and computing system for: monitoring one or more operations within a medical environment; generating an operations management report based, at least in part, upon the one or more operations monitored within the medical environment; and providing the operations management report to a user, wherein the operations management report includes one or more of: an operations management score, an explanation of the operations management score, and a justification for the operations management score.

A grounded virtual portal to interface with a robotic medical system is provided. The system can include an input controller coupled to a first structure via a plurality of linkages. The first structure can be mechanically coupled to a base structure. The input controller can control an object of a medical environment. A head mounted display can be coupled to a second structure extending the base structure. The head mounted display can be configured to render an extended reality environment corresponding to the medical environment. A processor can establish a grounded reference frame for the input controller to be maintained in the extended reality environment rendered via the head mounted display, and configure, based on the plurality of linkages and the grounded reference frame, a force scaler function for bidirectional force delivery between the input controller and the object of the medical environment.

The invention discloses a video monitoring system for medical health big data privacy management, and relates to the technical field of video monitoring, the system comprises the following components: an image acquisition module, an environment and privacy management module, a data monitoring module, a face recognition module and a privacy display control module; through combination of a high-resolution and low-illumination camera of the image acquisition module and a scene analysis technology, automatic adaptation to different medical environments and illumination conditions is realized, and meanwhile, the environment and privacy management module automatically sets and adjusts monitoring strategies and camera parameters according to privacy levels of different areas, so that the safety of the environment and privacy management module is improved. The definition and availability of a monitoring picture are ensured, the labor cost is effectively reduced, in addition, the system is excellent in the aspect of protecting the privacy of the patient, acquisition of the privacy of the patient by unauthorized personnel is strictly limited through the technical means of reducing the monitoring sensitivity of a ward and other privacy areas, fuzzy processing and the like, and the safety of the patient is improved. And the privacy protection level of the medical place is greatly improved.

A computer-implemented method, computer program product and computing system for: monitoring a plurality of data signals associated with one or more patients within a medical environment over a defined period of time; generating a shift-change report for the one or more patients, wherein the shift-change report includes one or more of: a summary of the medical history of the one or more patients over the defined period of time, a recommendation concerning the one or more patients based, at least in part, upon the history of the one or more patients over the defined period of time, and a justification for the recommendation for the one or more patients.

The invention discloses a Bayesian network-based medical OLED screen burn-in risk prediction and protection system and method, and aims to improve the burn-in risk prediction precision and reliability of an OLED screen in a medical environment. The use data, environmental parameters and display content characteristics of the OLED screen are collected through the data acquisition module, and a Bayesian network model is constructed for screen burn-in risk assessment. The parameter learning module updates model parameters in combination with variational inference and a Markov chain Monte Carlo (MCMC) method, and the prediction module calculates the burn-in risk probability based on observation data. And the protection strategy execution module implements dynamic protection measures, including pixel compensation, image transformation and the like, according to the data. According to the method, real-time prediction can be carried out on a specific medical scene, a protection scheme is optimized, the burn-in risk is effectively reduced, and meanwhile the image quality is guaranteed.

Methods and apparatuses for monitoring a patient in a healthcare setting may include one or more radar transducers to monitor a monitoring region to detect and prevent patient assaults and self-harm. The radar transducers, which may include millimeter wave, lidar, and ultrasonic transducers, can determine and track patient's location and determine patient welfare. Also described herein are systems configured to interpret patient movement.

The invention belongs to the field of multi-modal data processing, and relates to an efficient multi-modal fall detection method in an intelligent medical environment, which comprises the following steps: collecting multi-modal data and inputting the multi-modal data into a trained multi-modal fall detection model to obtain a detection result; the training process of the tumble detection model comprises the steps of collecting multi-modal data and inputting the multi-modal data into the multi-modal feature extraction module to obtain multi-modal features; inputting the multi-modal features into a multi-modal time alignment module to obtain multi-modal time alignment features; inputting the time alignment feature into a depth fusion module to obtain a depth fusion feature; inputting the deep fusion features into a classification module to obtain a detection result; calculating a multi-task loss function value, and updating model parameters according to the multi-task loss function value until a trained fall detection model is obtained; alignment of the multi-modal data is achieved through modal contribution evaluation and dynamic time warping, multi-modal data fusion is achieved in combination with a key modal and a bottleneck mechanism, the detection precision and robustness can be improved, and the calculation complexity can be reduced.

The invention belongs to the technical field of medical information, and particularly relates to an interactive system for improving doctor-patient communication experience based on augmented reality. The system comprises an acquisition module, a processing module and a putting module. The acquisition module comprises a depth sensing device, the depth sensing device is used for acquiring image information of a patient in a doctor-seeing environment, and the doctor-seeing environment comprises a plurality of reference objects of which the poses are fixed with the doctor-seeing environment; the data acquisition module is used for acquiring imaging data of a patient and corresponding diagnosis data; the processing module is used for constructing a three-dimensional model of the doctor-seeing environment as an environment model according to the poses of the reference objects in the doctor-seeing environment and the three-dimensional model of each reference object, and establishing an environment coordinate system according to the environment model, and the processing module further comprises a human body three-dimensional model; and the processing module is used for segmenting point cloud data of the reference object and the patient in the image information according to the reference object and the human body three-dimensional model. According to the scheme, the communication efficiency and effect between the medical staff and the patient in the medical environment are improved.

A computer-implemented method, computer program product and computing system for: monitoring a plurality of data signals associated with a plurality of patients within a medical environment over a defined period of time; calculating an acuity score for each of the plurality of patients, wherein the acuity score defines the overall care needs of each of the plurality of patients; and generating a rounding list that prioritizes the plurality of patients based, at least in part, upon the acuity scores.

The invention provides an anti-collision method, device and equipment based on obstacle classification in a medical environment, a medium and a program product, and relates to the field of intelligent anti-collision. The anti-collision method comprises the following steps: acquiring point cloud data of a target body in a medical environment; carrying out clustering reconstruction processing on the point cloud data of the first dynamic obstacle in the target body to obtain a reconstructed cluster, and carrying out space division on the cluster to generate a high-dynamic convex boundary; performing recursive space division on the point cloud data of the second dynamic obstacle and the static obstacle in the target body to generate a low dynamic convex boundary, and performing recursive space division on the point cloud data of the to-be-controlled anti-collision body to generate a target convex boundary; and expanding the boundary of the target convex boundary based on the safety distance, detecting the position relationship between the expanded boundary and the low-dynamic convex boundary and the position relationship between the expanded boundary and the high-dynamic convex boundary, generating a control instruction according to the position relationship, and controlling the movement of the to-be-controlled anti-collision body.

The invention discloses an exchange-based multi-modal multi-scale transformation fusion method and system, the method comprises the steps of obtaining original image data and original text data and inputting the original image data and the original text data into an MMTF model to generate a fusion result, and the MMTF model comprises a multi-modal encoder module, a decoder module, a channel-based information exchange module and a multi-scale fusion module. The multi-mode encoder module comprises a text encoder and a double-branch image decoder; the decoder module decodes the embedded part generated by the encoder; the channel-based information exchange module performs information exchange on embedding of different modes on different channels; and the multi-scale fusion module is used for fusing the cls token from one branch and the patch token from the other branch according to the image features and the text features on the different branches. According to the method, reliable decision support can be provided in various medical environments, the diagnosis accuracy is improved, and the workload of clinicians is reduced.

The invention relates to the technical field of health management, in particular to a risk assessment method and device for a stroke patient, equipment and a medium, and the method comprises the steps: obtaining a video image and audio data of the stroke patient, the video image comprises a face reaction image made by the stroke patient based on the first guide instruction and a limb reaction image made by the stroke patient based on the second guide instruction, and the audio data is a reply made by the stroke patient based on the third guide instruction; determining a facial paralysis recognition result and an eye response recognition result based on the facial response image; determining a limb motion recognition result based on the limb reaction image; based on the audio data, determining a language pronunciation recognition result; according to the method, the risk assessment level of the stroke patient is determined based on the facial paralysis recognition result, the eye response recognition result, the limb movement recognition result and the language composition recognition result, and the risk of the stroke patient can be accurately and quickly assessed without considering medical environment conditions.

The invention relates to the technical field of medical informatization, in particular to a ward distress call method and system based on intelligent medical treatment, and the method comprises the steps: obtaining patient state data collected by a plurality of sensors in a ward; receiving a ward help-calling instruction; constructing a multi-modal data fusion matrix based on the patient state data; executing random matrix transformation and feature extraction according to the multi-modal data fusion matrix; based on the extracted features, topological feature mapping and anomaly detection are carried out; executing group theory base risk assessment according to the topological features; calculating a chaotic power system early warning index based on a group theory risk assessment result; determining a call-for-help judgment result according to the early warning index; a corresponding response strategy is executed based on the call-for-help judgment result, the system can comprehensively grasp the state of the patient through the multi-modal data fusion technology, and the evaluation accuracy is greatly improved. And secondly, the robustness of the system is enhanced by random matrix transformation, so that the system can cope with a complex and changeable medical environment.

The invention discloses a bladder cancer muscular layer infiltration and prognosis prediction system based on deep learning imageomics, relates to the technical field of medical treatment and belongs to auxiliary diagnosis, and adopts an imageomics method and a deep learning model to extract imageomics features and deep learning features of CT images respectively; compared with the prior art, potential meaningful features in the CT image are extracted more comprehensively, the prediction accuracy can be further improved, meanwhile, the features are screened more strictly by using technologies such as intra-class correlation coefficient (ICC) analysis, t inspection, Pearson correlation coefficient, minimum absolute contraction and selection operator (LASSO), PCA dimension reduction and Cox regression, and verification is performed in a plurality of external medical centers. On one hand, the over-fitting risk of the model can be greatly reduced, on the other hand, the excellent generalization of the model is also proved, the use of the model is not excessively influenced by the medical environment and the CT acquisition instrument, and the error generated by the multi-center effect can be effectively solved.

A smart intravenous (IV) pole is disclosed, designed to maintain communications and seamlessly integrate medical devices even as a patient is relocated. The IV pole includes at least one antenna, and a network interface adapted for seamless communication during patient movement. The IV pole also includes a circuitry configured to obtain patient data associated with a patient. The IV pole retrieves one or more electronic medical health records associated with the patient. The IV pole retrieves medical data associated with the patient. The IV pole applies artificial intelligence (AI) models to at least one of the patient data, the electronic medical health records, or the medical data. The IV pole generates alerts associated with a medical condition of the patient and renders the alerts. The IV pole ensures uninterrupted data connectivity, monitoring, and communication during and after relocation, enhancing patient safety and supporting dynamic clinical workflows in modern healthcare environments.

The invention relates to the technical field of medical health information, in particular to a medical infection control intelligent monitoring system based on the Internet of Things. The system comprises a rapid microorganism monitoring module, a multi-dimensional gating behavior analysis module, a space-time causal reasoning module and an intelligent intervention control module, and can be used for sampling and flushing air in an operating room to obtain enriched microorganism suspension; introducing the enriched microorganism suspension into a lysis chamber for cell lysis release to obtain an ATP release liquid; performing viable bacterium density quantification on the ATP release liquid to obtain a real-time bacterial colony density index; collecting a gating original data stream; identifying gating behavior characteristics of the gating original data stream; and performing passage scene semantization on the gating behavior characteristics to obtain a scene semantic tag. According to the invention, the normal form transformation of medical environment infection control from passive monitoring to active prevention is realized through medical informatics and data processing and computing technologies.

A geometric holder with a deployable, multifunctional anytimewear product with capability that may be configured into a variety of utilitarian or product arrangements. Features include open side seams and an accessible back panel which may be useful in a medical environment; by way of example and not limitation, it is useful for taking vitals, CAT scans, breastfeeding or conducting medical procedures on the wearer. The invention may be modified for various use, for example, it may be a stretch of material that may cover the entirety of one's body or a quarter of one's body, a camping or beach changing product, a sleeved product with an attached head covering, receptacles, neck support, foot pouch, storage, and an all over dynamic multi-functional product for warmth, utility, and convenience.

The invention discloses a temperature control management system of an intelligent medical cabin for high altitude, which comprises a multi-source data acquisition module, a power self-adaptive processing module and a temperature control management display module, relates to the technical field of medical environment control, and solves the technical problems of serious performance attenuation, low energy efficiency, rigid control strategy and poor adaptability. According to the method, the current altitude and the current atmospheric pressure serve as core input parameters, the heating capacity attenuation coefficient and the convective heat transfer coefficient of the heat pump are subjected to real-time and quantitative scientific correction, the limitation that a traditional system neglects changes of environmental physical characteristics is broken through, a heat load calculation model is converted into a plateau self-adaptive model from a plain model, and the calculation efficiency is improved. The calculated total heat load demand and the heat pump output power better meet the actual physical conditions of the plateau, and therefore it is guaranteed that the basic output capacity of the temperature control system is consistent with the design expectation.

A computer-implemented method, computer program product and computing system for: monitoring a plurality of data signals associated with a patient within a medical environment; detecting one or more incidents defined within one or more of the data signals; and processing the one or more incidents defined within the one or more data signals to produce a recommendation based upon the one or more incidents so that a user may gain more insight into these one or more incidents.

A localized sound projection system can coordinate the sounds of speakers to simulate the placement of an auditory cue in a 3D space. The system can include a plurality of speakers configured to output auditory signals and a sound localization controller configured to control the plurality of speakers to coordinate the auditory signals to simulate an origination location of a patient alarm. The sound localization controller can determine adjusted auditory signals and control a plurality of speakers to output the plurality of adjusted auditory signals. A method for dynamically controlling speaker settings in a medical environment can include determining volume settings corresponding to a speaker, monitoring a level of ambient noise corresponding to a room of a patient, controlling the volume settings of the speaker to reduce or increase a sound level output of a speaker. A patient monitoring system can be configured to physically manipulate medical devices in response to audible commands. The system can receive a plurality of vocal commands from a user and can manipulate various settings after confirmation from a user.

Embodiments of the present disclosure relates to determining multimodal data, determining at least one indication using the multimodal data, identifying at least one potential cause of efficiency or inefficiency for the at least one indication using a mapping between a plurality of potential causes and a plurality of indications, and causing a display device to display a message comprising the at least one potential cause. Embodiments of the present disclosure relates to determining a dataset of information of a plurality of first medical procedures in a plurality of first medical environments, determining a mapping among data within the dataset, receiving a first attribute of at least one second medical procedure or at least one second medical environment, and determining, using the mapping and first attribute, a second attribute of the at least one second medical procedure and the at least one second medical environment.

Apparatus and associated methods relate to management of therapeutic digital assets in a non-medical environment. In an illustrative example, non-medical digital asset(s) (NMDAs) may be evaluated relative to one or more therapeutic modalities. A corresponding therapeutic digital asset (TDA) may, for example, be generated for each therapeutically associated NMDA. The TDA may, for example, be traceably associated with corresponding risks and / or risk mitigations. Each TDA may be associated, for example, with a test profile corresponding to a risk and / or risk mitigation. A TDA may be released into a non-medical digital content delivery environment (DCDE), for example. The TDA may, for example, be monitored in the DCDE to maintain verification and / or validation (VV). A change in the DCDE affecting VV of the TDA may, for example, result in deactivation of the TDA in the DCDE. Various embodiments may advantageously permit VV of selected digital assets in a non-medical environment.

The invention discloses a hospital infection management full-time staff core ability evaluation method and device and a storage medium, and a core ability evaluation final model used in the method is established according to academic information and industry information, can track the progress of infection control knowledge and technology to dynamically update, adapts to rapidly developed medical environments and technologies, and improves the efficiency of core ability evaluation. The method can accord with functional characteristics of a hospital infection management department of a medical institution, and objective quantitative evaluation is carried out on the core capability; the final core capability evaluation model is subjected to performance test and structure optimization, so that core capability evaluation can be carried out based on data driving in combination with a data analysis technology; different to-be-evaluated hospital infection management full-time personnel use the same final core capability evaluation model for evaluation, the consistency and stability of evaluation standards can be kept, and core capability evaluation results of different medical institutions and different regions have comparability. The method is widely applied to the technical field of information.

The utility model discloses a rotary selection type medical equipment integrated containing device which comprises a containing device shell and is characterized in that a hinged door is arranged on one side of the containing device shell, an office table and chair is arranged on the outer side of the containing device shell, and a computer is arranged on the office table and chair in a matched mode. The utility model relates to the technical field of storage equipment, in particular to a rotary selection type integrated storage device for medical equipment, which realizes efficient management and quick taking of the medical equipment, and is internally provided with an upper turntable and a lower turntable with the same specification, and each turntable is provided with a plurality of placement boxes for storing different types of medical equipment. Through the rotating assembly and the medical equipment partition recognition assembly, accurate positioning and rapid selection of equipment are achieved, in addition, the device is further provided with multiple auxiliary functions such as office tables and chairs, a computer, a face recognition camera, a fire extinguisher and an ultraviolet disinfection lamp, and the diversified requirements in the medical environment are met.

The invention discloses a patient anomaly detection method based on multi-video monitoring in a medical environment. The method comprises the following steps: constructing a sample data set containing pictures and videos of abnormal behaviors; constructing an abnormal behavior detection model, enabling the abnormal behavior detection model to automatically recognize the marked key points of the human body, and recognizing whether an abnormal behavior occurs or not according to the dispersion change of the key points; the method comprises the following steps: constructing a personnel identification model, carrying out face identification on a patient with an abnormal behavior, finally carrying out real-time monitoring on multi-angle video monitoring data in a medical environment according to the established model, timely finding the abnormal behavior of the patient, and sending out an abnormal prompt. According to the method, by combining an advanced technology for improving human behavior recognition and a multi-modal data processing flow, anomaly detection of multi-video monitoring in a medical environment is realized, manual participation is reduced or even not needed, and effective technical support is provided for improving medical service quality and guaranteeing patient safety.

The disclosed method encompasses registering an augmented reality device such as augmented reality glasses with a tracking coordinate system associated with a position tracking system. This may be effected by different approaches, for example by using a distance measurement unit (depth sensor) of the augmented reality device to determine a position of the augmented reality device relative to an object in a medical environment such as in surgery or radiotherapy / radiosurgery. The object may additionally be tracked by the position tracking system so that on the basis of the distance measurement, a relative position between the augmented reality device and the tracking coordinate system can be determined in order to register the augmented reality device with the position tracking system. This registration allows displaying augmentation information in a desired context and / or at a desired location in the image of the medical environment captured by the augmented reality device.

Systems and methods are described for determining and assigning tasks for performing medical procedures. The system may be configured to receive a plurality of data streams related to a medical procedure, wherein the plurality of data streams includes one or more of system data, medical environment data, and indications of personnel performing the medical procedure; analyze, using a task generation machine learning model, the plurality of data streams to generate natural language output relating to one or more tasks to be performed in furtherance of the medical procedure, wherein one or more inputs into the task generation machine learning model includes inputting embeddings of the plurality of data streams; analyze, via a task assignment machine learning model, the one or more tasks to assign the tasks to respective personnel; and provide indications to the respective personnel for performing the respective tasks assigned to the respective personnel.

The invention discloses a medical surgical robot pre-collision detection method, system and device and a storage medium. According to the method, the position and the speed of the robot end effector and the relative position of the robot end effector and the object can be calculated in real time, and whether the motion path of the robot can intersect with objects in the environment, especially a patient or not can be predicted. If a potential intersection is detected, the system may adjust the motion of the robot in advance, avoiding any direct contact with the human body or other sensitive object. The detection method and system are particularly suitable for a medical environment, the operation safety is improved, and the surgical fineness and efficiency can be kept.