42 results about "Patient location" patented technology

The embodiment of the invention provides a medical system working method and device based on a large model and a knowledge graph. The method is applied to information medical field. The method comprises the following steps: searching contents related to patient chief complaint information from a constructed medical knowledge graph by utilizing a large model, analyzing the patient chief complaint information based on the searched related contents, identifying a patient disease, and giving a corresponding doctor-seeing department; the distance between the hospital and the patient position is smaller than a preset range, and the hospital comprises a doctor-seeing department, and number source data of the target hospital are obtained in real time; according to the number source data and the evaluation factors of the doctors in the doctor-seeing departments in the hospitals, a doctor recommendation result is generated through a large model, and constraint examination is conducted on the doctor recommendation result; and after the constraint examination is qualified, performing multiple rounds of inquiry on the patient according to the patient chief complaint information by utilizing the large model, generating a pre-inquiry report and sending the pre-inquiry report to the patient or a doctor in a recommendation result. Therefore, the doctor recommendation accuracy and the doctor seeing efficiency are improved, and the doctor seeing pressure of a hospital is relieved.

The invention discloses a pre-hospital emergency rescue command and dispatch optimization method and system, and relates to the technical field of intelligent medical first aid, and the method comprises the steps: collecting the position coordinates of a patient and a first aid resource state, carrying out the medical resource matching through combining with the injury condition level, and constructing a three-dimensional resource matrix; converting the three-dimensional resource matrix into discrete decision topology, and performing multi-state parallel evolution through a quantum annealing processor to generate an optimal resource allocation scheme; based on the optimal resource allocation scheme, path optimization is carried out in combination with real-time road conditions, sudden obstacles and environment changes, and a driving route optimization instruction is generated; and in the process of executing the driving route optimization instruction, monitoring the vehicle driving state deviation and the multi-vehicle collaborative collision risk in real time, triggering a multi-dimensional perception collaborative optimization mechanism, and generating a dynamic driving route. According to the method, the global optimal solution of the high-dimensional resource combination is realized through quantization mapping from the three-dimensional resource matrix to the discrete decision topology in combination with the polymorphic parallel evolution and energy level transition of the superconducting quantum bit group.

The invention relates to the technical field of medical management informatization, in particular to a visual multi-dimensional patient flow adjustment system and method, and the system comprises a patient sensing module, an intelligent analysis gateway, an adjustment strategy generation module, a resource dynamic scheduling engine, and a visual positioning platform. Wherein the patient sensing module is used for collecting basic information, doctor seeing states, department resource use conditions and environment data of patients in all areas of a hospital; the intelligent analysis gateway is used for fusing and processing data and predicting the patient flow risk through the gating circulation unit; the adjustment strategy generation module is used for carrying out treatment priority fine classification on the patients and generating a personalized flow adjustment strategy; the resource dynamic scheduling engine is used for performing accurate scheduling through an intelligent allocation algorithm according to the adjustment strategy; the visual positioning platform is used for calibrating patient positions and rendering a hospital-wide patient distribution thermodynamic diagram and a resource occupancy rate in real time. Therefore, the problems of long waiting time, unreasonable resource allocation, single management strategy and the like in the prior art are solved.

Provided herein are techniques related to medical imaging and radiotherapy, methods and systems, in particular (but not limited to) methods and systems for monitoring safe movement of a patient positioning system, for validating settings of a patient positioning system, for validating settings of a patient on a patient positioning system, and for monitoring patient position during medical imaging and / or radiotherapy.

The invention provides an AI-based system for real-time scheduling and automated rescheduling of diagnostic testing appointments across a network of clinics. The system dynamically assigns appointments based on clinic availability, patient location, test urgency, and insurance compatibility. It incorporates a self-learning AI model trained on historical appointment and wait time data to optimize scheduling predictions and improve clinic throughput. A real-time monitoring module continuously tracks clinic conditions and triggers automated notifications when projected delays exceed a predefined threshold. Patients are offered options to remain at the original clinic, reschedule to a nearby clinic with shorter wait times, or cancel the appointment. The system includes a dual-view clinic interface (map and list), handles both integrated and non-integrated clinics, and ensures HIPAA-compliant handling of personal and health data. Integration with external clinic scheduling systems allows seamless data transfer and real-time synchronization. This invention significantly improves patient experience and clinic efficiency by reducing wait times and minimizing manual rescheduling efforts.

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.

To provide a patient information measurement system and a patient information measurement method suitable for a regional comprehensive care system.SOLUTION: A patient information measurement system includes a patient information acquisition unit and a display processing unit. The patient information acquisition unit is configured to acquire patient information including position information of a patient including a home patient in regional comprehensive care and a plurality of facilities patients residing in facilities. The display processing unit performs processing of displaying the patient information of the home patient on a map based on the position information of the home patient and displaying statistical information on the patient information of the plurality of facilities patients on the map based on the position information of the plurality of facilities patients.SELECTED DRAWING: Figure 1

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.

Systems and methods for generating and updating a surgical plan are provided. A surgical plan may be received, the surgical plan including a plurality of implant locations and information about an incision. A patient location may also be received or obtained. The surgical plan may be updated based on the patient location and the plurality of implant locations, updating the surgical plan including updating the information about the incision.

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.

According to the technical scheme, the multifunctional medical external fixator comprises a soft silica gel plate, the soft silica gel plate is provided with a through hole, a notch and a mounting groove, and fixing grooves are formed in a plurality of corners of the soft silica gel plate; the elastic fixing band is provided with a plurality of fixing ends, fixing hooks are movably installed in the fixing ends, and the fixing hooks hook the fixing grooves so that the elastic fixing band can be connected with the soft silica gel plate; the dressing piece is detachably installed in the installation groove and makes contact with the human body, and auxiliary openings corresponding to the through holes and the notches in position are formed in the dressing piece. According to the fixator, the catheter can be firmly fixed through friction force of the soft silica gel plate, displacement or falling of the catheter is prevented, or emergency hemostasis is achieved, open wounds are protected and the like, meanwhile, the stress area is increased through the soft silica gel plate, and compression and damage to the skin of a patient can be reduced; the elastic fixing belt can prevent the fixator from being excessively tightened or rubbed, and irritation to the skin is reduced; the elastic fixing band is flexible in style and can be suitable for different parts of a patient; the fixator is simple in structure, convenient to operate and capable of improving working efficiency.

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.

Methods, systems, and computer-readable media are provided for analyzing amounts of time spent by clinicians caring for patients. Clinician locations, patient locations, patient data, and clinician electronic health record activity may be used to facilitate generation of one or more predictive models. Such predictive models will provide, among other things, a decision support tool for scheduling patient-clinician appointments to minimize, at least partially, patient wait times.

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.

Methods, systems, and computer storage media are provided for utilizing health resources and enhancing healthcare coverage based on patient locations. A health resource navigation system is structured to generate an area roster based on one or more geo-fenced areas, determine a user device location as the user device navigates to a geo-fenced area corresponding to an indication of area selection, generate a patient roster based on the geo-fenced area, determine the user device location as the user device navigates to a patient location corresponding to an indication of patient selection, receive an indication of arrival at the patient location, receive patient information at the patient location, the patient information corresponding to a patient associated with the indication of the patient selection, and generate one or more patient recommendations based on one or more secondary patient locations and one or more stay durations responsive to the received patient information.

A system for the remote management of head mounted vision assist devices used by patients, is provided. The system includes head mounted vision assist devices located at various patient locations, at least one computing device used by a clinician supervising the usage of the vision assist devices by the patients, and a server communicatively coupled with each of the vision assist devices and the computing device used by the clinician. The server executes stored instructions to enable the clinician to remotely monitor the results of one or more diagnostic tests conducted by a patient at predefined time intervals and monitor a display of a head mounted vision assist device being used by the patient by mirroring the patient's display on the clinician's computing device. The server executes stored instructions that also enable the clinician to diagnose the patient based on at least one of the test results and the mirrored display and provide one or more of: prescription and therapy to treat the patient based on the diagnosis.

The invention discloses an anti-disassembly patient positioning monitoring bracelet with a real-time positioning function, the anti-disassembly patient positioning monitoring bracelet comprises a fixing disc, a display screen is fixedly mounted on the inner wall of the fixing disc, watchbands are fixedly mounted on two sides of the fixing disc, and pressure sensors are arranged in the two watchbands. According to the anti-disassembly patient positioning monitoring bracelet with the real-time positioning function, the GPS, Beidou and UWB ultra-wideband multimode positioning technology is adopted, automatic switching is achieved according to the environment, the outdoor 5-meter-level positioning precision and the indoor centimeter-level positioning precision are achieved, the position of a patient can be accurately mastered whether in the outdoor environment or the indoor environment of a hospital, and the positioning accuracy of the patient is improved. The watchband adopts a combined fixing structure that a positioning column is matched with a positioning hole, a fixing bolt and a positioning frame, and multiple protections of a pressure sensor, a microswitch and a skin electric sensor are combined, so that the bracelet is prevented from being violently disassembled or abnormally separated from the double layers of physical fixation and electronic monitoring, and the bracelet is ensured to be continuously and effectively worn.

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.

To assess a disease status even when there is no definite diagnosis.SOLUTION: There is provided a system (1) for monitoring a patient suspected of having a disease on the basis of a result of a test for assessing a condition of the patient, the system comprising: application software (6) that uses a database of measurement data collected in association with information regarding a location of the patient and monitors the patient, the measurement data acquired by a plurality of specimen measuring apparatuses (11) used for the test on a specimen of the patient; and an interface (5, 5A) that allows the application software (6) to utilize the measurement data associated with the information regarding the location. The application software (6) includes: a disease determination section (171) that determines the patient suspected of having the disease on the basis of the measurement data; and a status monitor section (172) that monitors the status of the disease in an area determined on the basis of the information regarding the location.SELECTED DRAWING: Figure 44