25 results about "Patient location" patented technology

This invention provides a method and system for recommending patient transfer routes based on artificial intelligence. The method includes: collecting information on a first group of wounded and sick patients, including patient location information and patient condition information; collecting first transfer location information; initially planning multiple route options based on the patient location information and the first transfer location information; setting multi-dimensional optimization conditions, including patient condition information and transfer time information; optimizing among the multiple route options based on the multi-dimensional optimization conditions to obtain the optimal route option; and using the optimal route option to transfer the wounded and sick patients. This application solves the technical problems of inaccuracy and lack of intelligence in existing methods for determining patient transfer routes, thus reducing the efficiency of patient transfer.

The invention provides a nursing end mobile monitoring system based on wearable equipment. The nursing end mobile monitoring system comprises a patient end, a nursing mobile end, an edge gateway and a cloud AI engine. The patient terminal collects physiological monitoring data and position information of a patient in real time; the edge gateway receives the physiological monitoring data and the position information, and sends the encrypted physiological monitoring data and position information to a cloud AI engine and a workstation central display screen; the cloud AI engine receives the physiological monitoring data and the position data, and sends an abnormal result and the position information of the abnormal patient to the nursing mobile terminal; when the abnormal patient does not appear, abnormal prediction is carried out on the received physiological monitoring data, and an abnormal prediction result and the position information of the patient with the abnormal risk are sent to the nursing mobile terminal; and the nursing mobile terminal receives the abnormal result, the abnormal patient position information, the abnormal prediction result and the abnormal risk patient position information, and gives an alarm.

The application relates to the field of information technology, and provides a diabetes collaborative remote monitoring system based on 5G and the Internet of Things. The system comprises the following steps: collecting blood glucose, activity, device identification and geographical position information through an initial data packet generation module based on 5G and the Internet of Things technology, and generating an initial data packet containing device type, data priority, patient position and time stamp. A service node matching module matches the service node according to the device type and the data priority. A path instruction generation module generates path instructions for directly connecting a specialized team or a regular platform in combination with a patient condition file. The system adopts 5G network slicing technology to dynamically allocate and adjust slice bandwidth, optimizes the transmission channel and monitors the transmission delay. Finally, a customized health guidance generation module generates a warning probability value based on the initial data packet and a pre-training analysis model, and provides customized health guidance. Remote precise monitoring and efficient management of diabetes patients are realized, and the quality and efficiency of medical services are improved.

The invention relates to the technical field of particle accelerators, in particular to a self-adaptive control method and device of a radio frequency quadrupole field accelerator and a BNCT system. The self-adaptive control method comprises the following steps: acquiring a CT image and boron concentration distribution information of a patient; calculating by using a Monte Carlo method to obtain an optimal neutron beam parameter; initializing operation control parameters of the radio frequency quadrupole field accelerator; completing parameter calibration before boron neutron capture therapy; receiving beam parameters and patient positions monitored in the treatment process in real time, and predicting beam transmission rate and emittance in real time by using a beam dynamics prediction model; and according to a prediction result, adjusting operation control parameters of the radio frequency quadrupole field accelerator in real time to ensure that the deviation between the actual irradiation dose and the treatment plan prescription dose is less than or equal to 5%. The operation real-time optimization response speed of the radio frequency quadrupole field accelerator is effectively improved, the operation control parameters of the radio frequency quadrupole field accelerator can be adjusted in real time according to the patient state and the treatment process, and the treatment effect and safety are improved.

This invention relates to a remote surgical system with scan-based positioning. A method for use with the remote surgical system is provided, the method comprising: determining patient location information during setup for performing a surgical procedure within an instance of the surgical system; determining a match between the determined patient location and a patient location signature; and transmitting a support arm control signal within the surgical system corresponding to the matched support arm signature.

An integrated system manages real-time healthcare data with geolocation capabilities. A controller operates interfaces to ingest geolocation and to receive patient data from EHRs, remote monitoring, providers, devices, third parties, and applications. A data harmonization module standardizes multimodal inputs; an anonymization / deanonymization service governs personally identifiable information. Secure storage preserves integrity and audited access. A Continuous Analytics Processing System provides file repositories, transforms, working databases, analyzers, and results. A job management subsystem maintains partner, client, event, and log data. A clinical decision support platform generates evidence-based insights, personalized recommendations, and real-time alerts contextually adapted to patient location. An analytics engine performs descriptive, geospatial, network, temporal, predictive, classification, clustering, anomaly detection, NLP, regression, and longitudinal analyses. Deployment spans secure cloud and edge environments with a smart device application. The system produces operational outputs and geolocation-aware interventions to enhance care delivery and infection prevention.

To provide a patient support apparatus and method that present information that enables each patient to select medication receiving means according to preferences.SOLUTION: A patient support apparatus includes: means 110 that stores, for each prescription medication delivery means, service-available time, location information, an area where service can be provided, and an individual fee in association with each other; means 120 that stores drug identification information and a unit price of a drug in association with each other; means 160 that specifies delivery means in which a time designated by a patient is included in the service-available time and location information of the patient is included in the area where service can be provided; means 170 that specifies the individual fee for each specified delivery means; means 180 that calculates, for each specified delivery means, a required time until the drug is received; means 190 that calculates a drug price for the specified delivery means; and means 200 that calculates a patient payment amount, which is a total amount to be paid by the patient obtained by adding the individual fee to the drug price for each specified delivery means, and displays the required time and the patient payment amount so that the patient can view them in a list.SELECTED DRAWING: Figure 2

This invention discloses a bed-leaving detection alarm system, including a distance detection component (2) for detecting the distance from the bed, a wearable physiological indicator detection component (3) for monitoring physiological status, and a processor (4). The processor (4) receives distance and physiological indicator signals and determines whether the physiological indicators are within a preset parameter range. When not within the preset range, the analysis unit (45) determines whether the patient can return to the bed on their own: if not, an alarm command is generated to prompt medical staff to reach the patient's location and take treatment measures; if so, an alarm is generated to prompt the patient to return to the bed immediately, and the system monitors whether the return process is smooth. This system can also automatically generate monitoring directions based on the patient's medical records and department information to achieve accurate and personalized bed-leaving early warning.

The invention discloses medical X-ray perspective equipment, an anti-radiation device and method and a computer readable storage medium. The equipment comprises an X-ray generator, an information acquisition module, an analysis and calculation module and an adjustable light source end protection device. The method comprises the following steps: acquiring a to-be-irradiated part of a patient and position information of the patient; the proper position, size and shape of the light outlet hole are analyzed and calculated according to the part, needing to be irradiated, of the patient and the position information of the patient; and adjusting the position, the size and the shape of the light outlet hole according to analysis and calculation results. According to the medical X-ray perspective equipment, the anti-radiation device, the anti-radiation method and the computer readable storage medium, the anti-radiation problem can be solved from the X-ray emitting end through the adjustable light source end protection device, and parts which do not need to be inspected can be irradiated as little as possible; individualized adjustment can be conveniently carried out; and the requirement for materials is reduced, so that the safety, comfort, convenience and economy of fluoroscopy are improved.

A computer-implemented system includes an assistant interface for providing remote medical assistance to aid a patient in performing various aspects of a rehabilitation regimen for a body part comprising a joint, a bone, or a muscle group. The assistant interface is configured to communicate, via a network connection, a telemedicine signal with the patient interface. The telemedicine signal is configured to control the patient interface and / or a treatment apparatus configured to be manipulated by the patient to perform the rehabilitation regimen. The patient interface and the treatment apparatus are at a patient location geographically separate from a location of the assistant interface. The telemedicine signal includes one or more of an audio signal, an audiovisual signal, an interface control signal for controlling a function of the patient interface, and / or an apparatus control signal for changing an operating parameter of the treatment apparatus.

A medical imaging system for detecting ionizing radiation. The system includes one or more pixilated imagers positioned to acquire patient image data and one or more position sensors positioned to acquire patient position data. Once the patient image data and patient position data are acquired, one or more processors operably connected to each of the one or more pixilated imagers and one or more position sensors calculate a three-dimensional mass distribution based on patient image data and patient position data.

The invention discloses medical X-ray perspective equipment, an anti-radiation device and method and a computer readable storage medium. The equipment comprises an X-ray generator, an information acquisition module, an analysis and calculation module and an adjustable light source end protection device. The method comprises the following steps: acquiring a to-be-irradiated part of a patient and position information of the patient; the proper position, size and shape of the light outlet hole are analyzed and calculated according to the part, needing to be irradiated, of the patient and the position information of the patient; and adjusting the position, the size and the shape of the light outlet hole according to analysis and calculation results. According to the medical X-ray perspective equipment, the anti-radiation device, the anti-radiation method and the computer readable storage medium, the anti-radiation problem can be solved from the X-ray emitting end through the adjustable light source end protection device, and parts which do not need to be inspected can be irradiated as little as possible; individualized adjustment can be conveniently carried out; and the requirement for materials is reduced, so that the safety, comfort, convenience and economy of fluoroscopy are improved.

The invention belongs to the field of biomedical engineering industry, and particularly relates to a nostril shaping multifunctional plastic device which comprises two supporting pipes. The two supporting pipes are connected through a connecting piece, the supporting pipes are hollow pipes, and the diameter of the ends, close to the connecting piece, of the supporting pipes is larger than that of the ends, away from the connecting piece, of the supporting pipes. The supporting tube adopts the design of gradually changing the diameter and conforms to the shape that the interior of the nasal cavity is gradually narrowed from wide, so that the whole retainer is placed in the nasal cavity more naturally and comfortably, the interference to the normal function of the nasal cavity of a patient is reduced, and meanwhile, the postoperative shaping effect is also improved; through the arrangement of the anatomical self-adaptive adjusting openings, the anatomical self-adaptive adjusting openings adapt to nostril plasticity of different shapes according to different parts of a patient, the deformation range of the supporting tube is enlarged after the two anatomical self-adaptive adjusting openings corresponding to each other up and down are cut to form the notch, so that the supporting tube adapts to different nostril shapes, and the long axis or the short axis of the nostril can be shaped conveniently; and the plasticity of different nostrils of different patients or the same patient is met.

A clinical documentation improvement (CDI) smart scoring method may include predicting, via per-condition diagnosis machine learning (ML) models and based on clinical evidence received by a system, a probability that a medical condition is under-documented and, via per-condition documentation ML models and based on documentation received by the system, a probability that a medical condition is over-documented. The under- and over-documentation scores are combined in view of special indicators and queryability factors, which can also be evaluated using ML query prediction models, to generate an initial CDI score. This CDI score can be further adjusted, if necessary or desired, to account for factors such as length of stay, payer, patient location, CDI review timing, etc. The final CDI score can be used to prioritize patient cases for review by CDI specialists to quickly and efficiently identify meaningful CDI opportunities.

Methods and systems for determining an optimal stimulation location in an electrode array of a spinal cord stimulator are disclosed. An external system such as a clinician programmer includes a targeting algorithm implemented as part of a graphical user interface. Targeting algorithm provides test stimulation at extreme (e.g., top and bottom) locations in the electrode array, and medio-laterally centered such that the patient feels the stimulation equally on the right and left. These extreme locations are recorded, as are locations (e.g., dermatomes) on the patient that are affected. Targeting algorithm also receives an input information indicative of the location(s) (dermatome(s)) of the patient's pain. A position algorithm within the targeting algorithm can use this information to interpolate an optimal location in the electrode array to apply stimulation to treat the patient's pain.

Systems and methods for ascertaining an item of position information about a position of a patient positioned in a magnetic resonance apparatus are provided. The magnetic resonance apparatus includes at least one transmit antenna, wherein each of the at least one transmit antennas is provided to generate RF transmit pulses for generating magnetic resonance signals in the body of the patient. Furthermore, the magnetic resonance apparatus includes at least one receive antenna that is configured to receive a response signal of the RF transmit pulse, for example a magnetic resonance signal triggered by the RF transmit pulse. An RF transmit pulse is generated with the at least one transmit antenna of the magnetic resonance apparatus, which pulse includes a frequency band which is outside of an examination frequency band of the magnetic resonance apparatus. The item of position information is ascertained using the response signal of the RF transmit pulse.

This invention relates to an AED emergency response decision optimization method based on federated learning and digital twins, belonging to the field of intelligent medical technology. It acquires multi-source sensing data from AED emergency cabinets, decodes the multi-source sensing data online using a Hidden Markov Model, and uses the Viterbi algorithm to infer the real availability status of the AED in real time. Digital twins are created for each AED, emergency vehicle, and personnel, synchronizing the real-world status and integrating real-time traffic conditions, weather information, and personnel location to predict the estimated arrival time of the AED and emergency personnel. A federated learning framework is used to train a deep reinforcement learning model, with patient location, AED availability, personnel location, and predicted time as the state space, AED selection and personnel assignment as the action space, and actual response time as the reward function, generating a globally optimal scheduling strategy. This invention effectively improves the accuracy of AED status perception and the timeliness of response time prediction while protecting data privacy.

The invention relates to a method for determining positional information about the position of a patient positioned in a magnetic resonance imaging (MRI) scanner, a MRI scanner, and a computer program. The MRI scanner comprises at least one transmitting antenna, each of which is configured to generate RF transmit pulses for producing magnetic resonance signals in the patient's body. The MRI scanner further comprises at least one receiving antenna configured to receive a response signal to the RF transmit pulse, in particular a magnetic resonance signal triggered by the RF transmit pulse. The at least one transmitting antenna of the MRI scanner generates an RF transmit pulse with a frequency band outside the imaging frequency band of the MRI scanner. The positional information is determined based on the response signal of the RF transmit pulse.

A head stabilization device or HFD includes a plurality of integrated markers. The HFD may be in the form of a skull clamp, vacuum bag, combinations thereof, or other supporting structure. The integrated markers include MRI markers detectable by an MRI scanner and fiducial markers detectable by a registration tool of a navigation system. The markers provide a reference point relative to an operation site in a patient for use in a navigation guided procedure and aid in registering or calibrating the location of the patient with captured images used in the navigation guided procedure.

Systems, methods, and means are provided whereby a surgical computing device may adjust global or regional surgical information provided by an enterprise cloud server based on at least one criterion. The criteria may include one or more of privacy laws, procedures, techniques, or device availability within the medical facility where the surgical procedure is being performed. The surgical computing device / edge computing device may receive global or regional surgical information associated with the surgical procedure from the enterprise cloud server. The surgical computing device / edge computing device may obtain local surgical information associated with the patient and / or the patient's location. The surgical computing device / edge computing device may adjust or modify at least a portion of the global or regional surgical information associated with the local surgical procedure and / or the patient. The surgical computing device / edge computing device may transmit the adjusted global or regional surgical information to the surgical instrument.

The invention belongs to the technical field of intelligent medical treatment, and particularly relates to a hospital health science popularization robot service system, which receives a plurality of service requests which are initiated by appointed calling equipment and comprise patient identifiers and physical positions, calls medical record data according to the patient identifiers, and sends the medical record data to a server; the method comprises the following steps: constructing a weighted scoring rule with medical record characteristics as a main part and waiting duration and spatial distance as auxiliary parts, planning a service priority sequence of a robot, collecting oral inquiry audio of a patient and converting the oral inquiry audio into a text after the robot arrives at a specified patient position according to the planning sequence; and combining patient medical record dimensions of intention recognition, slot filling and dynamic calling to carry out context enhancement so as to reconstruct a standard clinical question, carrying out supportive evidence chain retrieval and rationality verification on preliminary answer content by introducing a medical knowledge graph, generating final health science popularization content, and outputting the final health science popularization content. And it is ensured that the finally output health science popularization content not only is personalized, but also has medical reliability and safety.

The application provides an emergency resource scheduling method and system based on multi-dimensional positioning and intelligent correction, relates to the technical field of resource scheduling, and comprises the following steps: obtaining initial positioning by fusing multi-source position data, correcting the deviation in combination with the event type and historical distribution characteristics when the deviation is detected, and obtaining the corrected patient position. Meanwhile, the emergency degree is dynamically evaluated based on the time sequence characteristics of the patient state information. Finally, a multi-objective optimization model is constructed to generate a scheduling scheme according to the corrected position, the real-time resource state and the adjusted emergency degree. The application improves the positioning accuracy and the real-time performance of state evaluation, and realizes efficient and optimized scheduling of emergency resources.

The invention relates to the technical field of medical resource management, and discloses a medical co-body medical resource intelligent management system and method based on multi-objective optimization, and the system comprises a medical patient information collection module, a medical co-body object search module, and a medical subject object positioning module. On the basis of the patient medical article demand feature information, the patient medical article demand time information and the cross-regional medical article medical subject idle medical article feature information, medical subject objects needed by medical subject internal patients in other geographic regions are recognized; cross-regional intelligent planning of the medical resources required by the patient and scientific positioning of the cross-regional medical resources are realized; based on the patient position, the medical article demand feature and the time information multi-target parameter, the medical resource of the medical co-body is accurately dispatched in a cross-regional mode, the optimal medical resource of the medical co-body is scientifically screened based on multi-target optimization, and the quality of medical resource management of the medical co-body is improved.

The invention discloses a pre-hospital first-aid intelligent scheduling management method and system based on first-aid resources, and relates to the technical field of medical resource management, and the method comprises the steps: determining a first-aid task type according to the initial illness state of a patient, and determining a first-aid resource combination through the correlation characteristics of the historical illness state and the first-aid resources; determining candidate first-aid stations by using the real-time position of the patient, and screening a target first-aid station from the candidate first-aid stations based on periodic characteristics of resource occupation of the first-aid stations; generating an alternative first-aid route by using an actual road layout between the target first-aid station and the patient position, and determining a potential influence area of the current traffic event; evaluating the traffic capacity of the alternative first-aid routes after the alternative first-aid routes are affected by the potential influence areas through a road traffic capacity prediction model, and determining a target first-aid route from the alternative first-aid routes; according to the invention, intelligent and accurate scheduling of first-aid resources, stations and routes is realized, and timeliness and accuracy of pre-hospital first-aid response are effectively improved.

Methods and systems for determining an optimal stimulation location in an electrode array of a spinal cord stimulator are disclosed. An external system such as a clinician programmer includes a targeting algorithm implemented as part of a graphical user interface. Targeting algorithm provides test stimulation at extreme (e.g., top and bottom) locations in the electrode array, and medio-laterally centered such that the patient feels the stimulation equally on the right and left. These extreme locations are recorded, as are locations (e.g., dermatomes) on the patient that are affected. Targeting algorithm also receives an input information indicative of the location(s) (dermatome(s)) of the patient's pain. A position algorithm within the targeting algorithm can use this information to interpolate an optimal location in the electrode array to apply stimulation to treat the patient's pain.