61 results about "Hospital setting" patented technology

The invention relates to the technical field of intelligent regulation and control and energy conservation of hospital environment air quality, in particular to a big data management and intelligent evaluation system for the hospital environment air quality. The system comprises a multi-modal data acquisition module, a data processing module, a dynamic transmission modeling module, a dynamic Bayesian network risk modeling module and a prospective risk hedging and energy consumption optimization module. The system calculates a dynamic air transmission coefficient by collecting environment and people flow data, and constructs a dynamic Bayesian network model to calculate a cross-region propagation risk probability; the method is characterized in that when the risk probability exceeds a threshold value, a system actively solves a multi-objective optimization problem with minimization of energy consumption as an objective, and an optimal HVAC control instruction is generated; according to the method, the conversion from lagging evaluation to prospective risk hedging is realized, and the risk can be actively identified and regulated before the pollution exceeds the standard.

A lighting fixture containing both visible light sources and UV light sources is disclosed herein. In one embodiment, the fixture is an overhead fixture. UV light can sanitize / disinfect the surrounding environment over a period of about 30-45 minutes. In this way, viruses, germs, bacteria, mold, and the like can be destroyed to clean the air and / or surfaces (e.g., furniture) of the room exposed to UV light. Accordingly, embodiments of the present invention include a physical input device, such as a wall-mounted button, switch, or wireless device, that can safely and efficiently activate a lighting assembly to produce UV light in a way that protects occupants from unintentional exposure to UV light. This configuration is especially useful in situations where the use of UV light is regulated, such as in a hospital setting.

The invention discloses an intelligent sorting engine system for multiple examination tasks in a hospital treatment scene, which comprises a data acquisition module, an intelligent analysis module, a sorting module, a task pushing module, a feedback module, an emergency adjustment module and a module connected with a hospital reservation system, and efficient and reasonable checking task sorting and management are realized. Through a multi-source data fusion technology, data of each information system in a hospital can be integrated, and part of examination result data of other medical institutions can be obtained through a data interface with external medical equipment. Therefore, a doctor is ensured to have comprehensive and accurate patient information during diagnosis, repeated examination is avoided, and the utilization efficiency of medical resources is improved. A dynamic planning algorithm is adopted to quickly adjust the sorting of the examination tasks according to the real-time changing doctor seeing condition and resource condition, and a personalized examination task execution sequence is generated by considering factors such as the psychological state and the comfort level of a patient.

The invention discloses a hospital scene-oriented layered obstacle avoidance method for a mobile robot, and aims to solve the problem of insufficient adaptability in a dynamic dense environment in the prior art. According to the method, a set of'perception-decision-control 'collaborative hierarchical navigation framework is constructed. In a sensing layer, an improved ORB-SLAM3 is adopted to realize the construction of a'global sparse and local dense 'hybrid map, and both the positioning precision and the calculation real-time performance are considered. In a decision-making layer, a three-layer progressive architecture of'global A * path planning-local TEB trajectory optimization-upper layer TD3 reinforcement learning self-adaptive parameter adjustment 'is designed; wherein the TD3 intelligent agent can dynamically adjust the cost function weight of the TEB algorithm according to the real-time environment state, so that the robot has the human-like decision-making ability of autonomously balancing between efficiency and safety. The whole system is integrated based on ROS and is verified through simulation and a physical platform. According to the method, the navigation robustness, safety and intelligence of the mobile robot in high-dynamic scenes such as hospitals and the like are remarkably improved.

The application discloses a mobile cart for use in a hospital environment, and more particularly discloses a technique for equipping a mobile device with two different types of wireless communication devices, one of which is part of a mesh network, the mesh network may serve as a backup path to route data to the Internet. When the Wi-Fi connection fails or is weak, a mobile device, such as a mobile cart, may dynamically switch to a mesh network. This dual network approach enhances the reliability of data transmission, reduces the dependency on a single type of network, and ensures continuous operation, which may be important in certain environments, such as in a health care environment.

The invention discloses a dynamic sterilization method based on cough audio detection and analysis, which comprises the following steps: acquiring hospital audio, dividing the hospital audio into audio segments, identifying audio frames containing cough audio, and merging the audio frames containing the cough audio to obtain cough audio segments; overlapping coughs are separated, and samples of all the single-sound coughs are obtained and correspond to the individuals to which the single-sound coughs belong; judging whether the individual coughs accidentally or not on the basis of the quantity and the time interval of the single-sound coughs, and further judging whether a hospital environment sterilization early warning program needs to be started or not; and for each environment index of the hospital, presetting a corresponding disinfection trigger threshold, and if it is judged that the hospital environment disinfection early warning program needs to be started and the hospital environment index reaches the corresponding disinfection trigger threshold, starting a corresponding disinfection program to complete disinfection of the hospital environment. According to the invention, 'on-demand disinfection 'can be realized accurately and dynamically in real time, and interference to normal medical activities is reduced to the greatest extent while the transmission path of aerosol in a hospital is blocked.

The invention relates to the technical field of environment monitoring. By providing a multi-sensor fusion hospital environment quality monitoring method, device, equipment and medium, the method comprises the following steps: performing multi-type environment sensor deployment processing on a hospital key area to obtain a spatial distribution sensing network; performing fusion processing on the multi-source environmental parameters acquired by the spatial distribution sensing network to obtain a standardized comprehensive data set; performing spatial interpolation algorithm processing on the standardized comprehensive data set to generate a spatial distribution model; thermodynamic diagram rendering and three-dimensional visualization processing are carried out on the spatial distribution model, and environment quality hot spot areas and weak links are identified; and the hot spot areas and the weak links are processed, and corresponding environment optimization suggestions and equipment layout adjustment strategies are generated, so that the comprehensiveness and spatial analysis accuracy of hospital key area environment parameter acquisition are improved, and the recognition efficiency of the environment quality hot spot areas and the weak links is enhanced.

The present application belongs to the technical field of hospital logistics scheduling, and particularly relates to a logistics scheduling method, system and device in a hospital environment, comprising: S1, calculating a comprehensive priority based on an emergency degree factor, a time-sensitive factor, a current waiting time and a maximum tolerance time of a task, and a time occupation factor of a robot; S2, assigning the task with the highest comprehensive priority to the robot with the smallest time occupation factor; S3, monitoring the running state of the robot in real time, triggering path re-planning when detecting that the conflict probability of the front node exceeds a threshold value, searching for multiple possible paths from the current position to the end point, and generating a candidate path set in order of the comprehensive evaluation score; and S4, selecting a path with an estimated completion time less than or equal to a dynamic time threshold value, and issuing an execution. The present application realizes dynamic optimization of task allocation and real-time re-planning of paths, effectively reduces path conflicts, and improves logistics distribution efficiency.

The utility model relates to an informatization management device. The informatization management device comprises a display screen and a multi-posture mounting rack, the multi-posture installation frame comprises two supporting frames, the two supporting frames are connected with each other through a connecting plate and a connecting piece, and the supporting frames are connected with the display screen through hinge seats. According to the multi-posture mounting frame, the supporting frame, the connecting plate, the connecting piece, the hinge seat and other components are arranged, through the matching relation of the structures, the display screen can be mounted through the multi-posture mounting frame, and the multi-posture mounting frame plays a role in supporting the display screen after being mounted; through the arrangement of the multi-posture mounting frame, the effect of meeting different actual requirements is achieved, the first posture is suitable for the requirement that the display screen is hung below a ceiling, the second posture is suitable for the requirement that the display screen is mounted on a wall, and different actual requirements are met through different postures; therefore, different installation requirements in a hospital environment can be met.

The invention relates to the technical field of Internet of Things environment detection, in particular to a clean environment monitoring and early warning method and system based on the Internet of Things. The method comprises the following steps: acquiring a monitoring range, dividing the monitoring range into a plurality of sub-regions, deploying a multi-modal sensing node with an identifier in each sub-region, and collecting multi-dimensional environmental parameters of each sub-region; identifying a cross-region diffusion risk and a collaborative abnormal situation, and judging the cleanliness level of the current sub-region; a parameter multi-level threshold value is preset, multi-level early warning is divided in combination with a correlation analysis result, and corresponding sub-region equipment is linked to carry out differential regulation and control; the system comprises a sub-region multi-parameter acquisition module, a multi-sub-region association module and a cleanliness grading early warning module. By means of the mode, the multi-mode sensing nodes are dynamically deployed, a multi-level early warning and differentiation regulation and control mechanism is established, the accuracy and effectiveness of hospital environment infection control are improved, the medical quality and patient safety are guaranteed, the detection accuracy is improved, and the refined and real-time infection control requirement is met.

An autonomous robotic system and methods for transporting patient stretchers, hospital beds, gurneys, and other patient transport apparatuses are provided. The autonomous robotic system includes a mobile robot module including extendable arms configured to interface with wheels of patient apparatuses; a wheel engagement module configured for capturing, lifting, guiding, caging, steering, or pulling the wheels of the patient apparatuses; and a navigation module including LiDAR, computer vision, and / or other sensors to autonomously guide the mobile robot module within hospital environments.

The invention provides an environment monitoring detection system and device based on an intelligent video identification analysis technology, and relates to the technical field of air pollution detection. The environment monitoring and detecting system based on the intelligent video recognition and analysis technology comprises a communication module, a processing module, a sensing module, a switching module, a power supply module, a conveying module and a sampling module, wherein the processing module comprises a control unit and a storage unit. The environment monitoring and detecting device comprises a mounting mechanism, the mounting mechanism comprises a mounting box, and an air inlet hole and an air outlet hole are formed in the mounting box. According to the scheme, the sensing module monitors the air pollution degree of an indoor key area on site in real time finally, and when it is detected that the pollutant concentration exceeds the standard, the system conducts identification, early warning and automatic sampling immediately, locates a specific position and prompts maintenance and management after air pollution sampling; the comfort and safety of the hospital environment are improved, and support is provided for hospital infection prevention and control.

A mesh network medication coordination system enables communication between intelligent injection devices, monitoring systems, patient devices, or healthcare provider devices to prevent adverse drug interactions in hospital settings. The system includes mesh network infrastructure supporting multiple networked devices, dosage measurement devices that directly measure or infer dosage administration including injection completion detection, medication volume measurement, administration timing data, or patient biometric responses, or a coordination module that coordinates medication administration timing across multiple devices. The system features drug interaction analysis capabilities, real-time monitoring of patient vital signs and medication effectiveness, alert generation for potential interactions and dosing conflicts, or data synchronization across all networked devices. This integrated approach optimizes dosing intervals, prevents conflicting medication schedules, synchronizes administration events, or maintains consistent medication administration data across the mesh network to enhance patient safety and treatment efficacy.

An autonomous robotic system and methods for transporting patient stretchers, hospital beds, gurneys, and other patient transport apparatuses are provided. The autonomous robotic system includes a mobile robot module including extendable arms configured to interface with wheels of patient apparatuses; a wheel engagement module configured for capturing, lifting, guiding, caging, steering, or pulling the wheels of the patient apparatuses; and a navigation module including LiDAR, computer vision, and / or other sensors to autonomously guide the mobile robot module within hospital environments.

An inventory control system in hospital environments using RFID technology, characterized in that it comprises: - a means of controlling access for healthcare personnel to a warehouse (A) configured to detect the entry or exit of said healthcare personnel in the warehouse (A); - a set of RFID tags attached, directly or indirectly, to objects such as materials, instruments or medicines; - at least one first antenna (1) configured to detect the presence of the RFID tags in the warehouse (A); - at least one second antenna (2) configured to detect the presence of the RFID tags in a waste bin (5) located in a room outside the warehouse (A); a processing means (3) in communication with the means of controlling access for healthcare personnel in the warehouse (A) and with the first and second antennas (1, 2) to receive the information detected by said antennas (1, 2) and store it in a database (4).

The invention discloses a full-chain monitoring information integrated management method for an in-vitro diagnostic reagent supply chain, particularly relates to the technical field of medical supply chain informatization management, and is used for solving the problems of low distribution efficiency and insufficient reagent quality guarantee caused by the fact that a fixed scheduling rule cannot adapt to a dynamic environment in the existing in-hospital distribution process of the in-vitro diagnostic reagent. The method comprises the following steps: establishing an initial path set by acquiring reagent attribute information and hospital environment structure information, analyzing a reagent consumption fluctuation mode based on time sequence similarity clustering to identify a business logic dependency relationship, binding associated reagents as distribution units, and generating aggregation attribute information; the distribution unit demand intensity is quantified by evaluating logistics resource contention conflicts in real time, the optimal distribution priority is solved by adopting a multi-agent game model, and finally a distribution instruction is generated based on a priority planning specific path and time arrangement. And an execution result is fed back to the full-chain monitoring system to realize refined and adaptive management of the in-vitro diagnostic reagent supply chain.

A mattress system is provided that is optimized for the hospital setting and includes a guiderail system that accepts a variety of accessories for attachment thereto. The guiderail system may have integrated data lines, power lines, gas lines, and / or fluid lines. Also provided are radioabsorbant shields, trays and other components designed for optimal use with the mattress system.

Embodiments disclosed herein provide a system, method, and computer program product for providing a triage classification system. The triage classification system uses a computer model that is developed using historical patient data. The developed computer model is applied to collected patient attribute data from a patient in a pre-hospital setting to generate a triage category. Based on the generated triage category, health care professionals can take desired actions, such as transporting the patient to a facility matching the generated triage category.

This utility model pertains to medical instrumentation, specifically neonatal equipment, and is designed for the safe transport of newborns and their survival. It can be used both in hospital settings and for long-distance transportation using various vehicles (ambulances, airplanes, helicopters, etc.). It is especially useful in hard-to-reach areas. The advantages of this portable neonatal incubator include mobility, compact size, and weight. The upper part of the housing contains a transparent viewing lid, allowing for observation of the baby. The device's design provides protection from the external environment, easy access, comfortable placement of the newborn patient, and safe transportation, including by one person. Weighing no more than 6 kg, it allows for monitoring the patient's condition and supporting their vital functions, as well as protection from cold, vibration, and noise.Equipped with an alarm and a user-friendly interface. It comprises a housing, a transparent cover movably connected to the housing and forming a child's compartment, a control panel with a color LCD display and indicator light, a built-in fan with a filter and ventilation holes located on the housing, a mattress installed in the child's compartment with a heating element evenly distributed over the mattress's surface and a built-in temperature sensor, straps for securing the mattress in the child's compartment, patient condition sensors, a built-in battery, non-slip lifting and carrying handles, and durable straps. 8 pcs., 4 fig.

A mattress system is provided that is optimized for the hospital setting and includes a guiderail system that accepts a variety of accessories for attachment thereto. The guiderail system may have integrated data lines, power lines, gas lines, and / or fluid lines. Also provided are radioabsorbant shields, trays and other components designed for optimal use with the mattress system.

The present application relates to the field of intelligent regulation and energy saving technology of hospital environment air quality, in particular to a big data management and intelligent evaluation system for hospital environment air quality; comprising multi-modal data acquisition, data processing, dynamic transmission modeling, dynamic Bayesian network risk modeling and forward-looking risk hedging and energy optimization modules; the system collects environment and people flow data, calculates dynamic air transmission coefficient, and constructs a dynamic Bayesian network model to calculate the cross-zone transmission risk probability; the core is that when the risk probability exceeds the threshold value, the system will actively solve the multi-objective optimization problem with the goal of minimizing energy consumption to generate optimal HVAC control instructions; the present application realizes the change from lagging evaluation to forward-looking risk hedging, and can actively identify and regulate the risk before the pollution exceeds the standard.

The invention relates to a compact proton linear accelerator compatible with conventional radiotherapy and flash therapy, and the accelerator comprises an ion source which generates a proton beam; the radio frequency quadrupole field accelerator comprises a first radio frequency quadrupole field accelerator and a second radio frequency quadrupole field accelerator, and the first radio frequency quadrupole field accelerator and the second radio frequency quadrupole field accelerator are spliced in a vacuum sealing mode through a flange; the side-coupled drift tube linear accelerator and the coupled cavity linear accelerator are sequentially arranged behind the radio frequency quadrupole field accelerator, and the ion source, the radio frequency quadrupole field accelerator, the side-coupled drift tube linear accelerator and the coupled cavity linear accelerator form a full-linear structure. The device has remarkable advantages in the aspects of treatment capacity, occupied area, construction scale and the like, and is more beneficial to popularization and application in a hospital environment.

The invention discloses a medical medicine preparation device and a medicine preparation method thereof, and relates to an ampoule injection automatic medicine preparation device and a use method thereof. A medical medicine preparation device comprises a medicine preparation module, one or more ampoule bottle fixing modules and one or more injector fixing modules. Wherein the medicine preparation module forms an independent clean closed environment to provide a clamping groove for stable connection for the ampoule bottle fixing module and the injector fixing module. And the ampoule bottle fixing module and the injector fixing module are connected at a determined position through a clamping groove provided by the medicine preparation module. The three modules are separated before medicine preparation, and storage and transportation are convenient. In the medicine preparation process, the ampoule bottle fixing module and the injector fixing module are pushed into the clamping grooves of the medicine preparation module, and a whole is formed through connection of determined positions to complete medicine preparation. Under the hospital environment, batch medicine preparation is achieved by arranging the ampoule bottle fixing modules and the injector fixing modules in batches, the medicine preparation workload of medical staff in the medicine preparation process is reduced, the labor intensity is lowered, and operation faults caused by busy and fatigue in the medicine preparation work are reduced. In an emergency field accident site, the risk of medicine pollution in the field dirty and disordered environment in the medicine preparation process is reduced through the closed medicine preparation environment.

An emergency cardiac and electrocardiogram (ECG) electrode placement device with artificial intelligence is disclosed herein. The emergency cardiac and electrocardiogram (ECG) electrode placement device incorporates electrical conducting materials and elastic material into a pad that is applied to a chest wall of a patient, which places multiple electrodes in the appropriate anatomic locations on the patient to quickly obtain an ECG in a pre-hospital setting. The AI program continuously runs EKGs to continuously monitor a patient.

The present invention relates to an antimicrobial composition for managing bacterial infections. More particularly, the present invention relates to the antimicrobial composition comprising of a cephalosporin in combination with a beta lactamase inhibitor and a chelating agent. The antimicrobial composition of beta lactam in combination with beta lactamase inhibitor and a synergistic concentration of chelating agent with pharmaceutically acceptable ingredients is effective in management of bacterial infections in hospital settings.

This utility model relates to medicine, specifically to a device for delivering nitric oxide from a nitric oxide therapy device, an oxygenator, and an artificial blood circulation and assisted circulation (extracorporeal membrane oxygenation) apparatus. The device is intended for use in an operating room or hospital setting. The device comprises two short lines no longer than 100 mm and a section of a common line no longer than 1000 mm.

The inventive system enables wearables to function as portable, always transmitting medical devices within hospital settings, integrating the data therefrom seamlessly into electronic medical records. The dynamic switching of wearables among virtual Bluetooth hotspots ensures and enhances both the reliability of data transmission and the potential for wearables to contribute meaningfully to the electronic medical record infrastructure within healthcare facilities.

The invention discloses a disinfection-transfer collaborative optimization medical record robot closed-loop control method and a robot, and belongs to the field of medical record transfer, and the method comprises the following steps: S1, constructing a hospital environment real-time dynamic model; s2, on the basis of the hospital environment real-time dynamic model, an environment model and task requirements are combined, and an optimal multi-machine collaborative transfer path is generated through double-layer reinforcement learning; s3, considering the optimal multi-machine collaborative transfer path, the road surface state, the environment state and the current state of the robot, and dynamically regulating and controlling magneto-rheological suspension damping; meanwhile, the disinfection parameters are dynamically adjusted in combination with the medical record state and the optimal transfer path. According to the disinfection-transfer collaborative optimization medical record robot closed-loop control method and the robot, a dynamic environment perception-path planning-motion control-disinfection collaborative-multi-machine collaborative closed-loop control system is constructed, so that deep collaborative optimization of medical record disinfection and transfer is realized; the limitation of the prior art in the aspects of environmental adaptability, dynamic decision and multi-system collaboration is overcome.

A system for managing heart disease, the system including a patient management platform for managing heart disease in patients, the patient management platform connected with one or more mobile and remote patient monitoring device(s) configured to remotely obtain patient physiological attributes outside of a clinic or hospital setting. The patient management platform is configured to receive patient data through electronic patient data systems (e g., an EMR) and compare the physiological attributes and patient data with at least one heart disease treatment protocol. Based on the analyzing, the platform determines one or more recommended action(s) to be taken according to at least one heart disease treatment protocol and generates a notification of the recommended action(s).

This invention discloses a method for integrated management of full-chain monitoring information in the in vitro diagnostic reagent supply chain, specifically relating to the field of medical supply chain information management technology. It addresses the problems of low delivery efficiency and insufficient reagent quality assurance in existing in vitro diagnostic reagent in-hospital distribution processes due to fixed scheduling rules failing to adapt to dynamic environments. The method involves establishing an initial path set by acquiring reagent attribute information and hospital environmental structure information; identifying business logic dependencies through time-series similarity clustering analysis of reagent consumption fluctuation patterns; binding associated reagents as delivery units and generating aggregated attribute information; quantifying the demand intensity of delivery units by real-time assessment of logistics resource contention conflicts; solving for optimal delivery priorities using a multi-agent game model; and finally generating delivery instructions based on priority-based planning of specific paths and time schedules. The execution results are then fed back to the full-chain monitoring system to achieve refined and adaptive management of the in vitro diagnostic reagent supply chain.