106 results about "Patient status" patented technology

The invention relates to a patient examination item recommendation method based on a medical knowledge graph. The method comprises the steps that firstly, historical data in the medical field is acquired, key information is extracted from the historical data to generate an entity relation triple, and then a medical knowledge graph is constructed; then, generating a patient state sub-graph based on patient input information, processing the medical knowledge graph by adopting an improved TransD model, and determining unique representation of an entity-relationship pair; mapping the patient state sub-map to a unique representation space, obtaining vector representation of a patient and an examination item related entity, and calculating a similarity value between vectors to obtain a similarity value matrix; and finally, performing priority ranking on the inspection items according to the matrix, and generating a final recommendation list through threshold screening and combination with graph neural network verification, optimization and adjustment of priorities. By adopting the method, examination items can be accurately recommended for patients, doctors are assisted to improve the treatment efficiency, the queuing time of the patients is shortened, and the medical experience of the patients is remarkably improved.

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 provides an intelligent bed detection method and system, relates to the technical field of medical care, and is suitable for an intelligent bed, the intelligent bed comprises a bed and a bedside guardrail, the bed is provided with a corresponding first sensor, the bedside guardrail is provided with an intelligent detector, and the intelligent detector comprises a sensor assembly. A first sensor signal collected by the first sensor and a guardrail state signal, collected by the sensor assembly, of the bedside guardrail are preprocessed to obtain first sensor information and guardrail state information; predicting a patient state of a patient corresponding to the intelligent bed through a pre-trained patient state recognition model, the first sensor information and the guardrail state information; if the patient is in the off-bed state, counting off-bed time when the patient state is in the off-bed state in real time, and detecting whether the off-bed time reaches a target off-bed time threshold value matched with the patient or not; and if yes, outputting early warning information, so that the patient state can be mastered by paying attention to the behavior actions of the patient and the use state of the sickbed, the patient safety is ensured, and the nursing quality is improved.

The invention relates to the technical field of physiological parameter monitoring, in particular to a patient physiological feature monitoring method based on nursing sampling data. Comprising the following steps: acquiring body temperature, pulse and systolic pressure data in different periods, marking time and sources to generate a period-divided sequence, dividing sampling frequencies in combination with parameter variation and historical data to generate hierarchical labels, identifying trend directions to construct a classification list, extracting time node marking trends to generate a positioning table, and marking the time node marking trends according to the positioning table. And integrating the frequency trend relationship to construct an atlas identification set. According to the method, the anomaly tracking efficiency is improved by integrating parameter data in different time periods and marking source time, enhancing data relevance, dynamically evaluating parameter change characteristics and historical fluctuation levels, dividing adaptive sampling frequencies, optimizing monitoring density and reducing redundancy, identifying trend directions and classifying structures, and constructing positioning labels; the spectrum identification is constructed by integrating the frequency and trend relation, real-time early warning is supported, the nursing strategy and the patient state are synchronized, and high-time-efficiency accurate intervention is supported.

The invention discloses an outpatient service management method and system based on an HIS system, belongs to the technical field of computers, and achieves precise triage and personalized treatment path recommendation by integrating multi-dimensional state information of a patient and real-time department data and combining a dynamic path planning algorithm. The method has the advantages of improving triage accuracy, optimizing treatment path planning and improving outpatient service management efficiency.

The invention discloses an intelligent monitoring system for tumor nursing. The intelligent monitoring system comprises a wearable sensing terminal group, a patient terminal, a cloud platform intelligent analysis center and a medical care terminal. The wearable terminal is used for collecting multi-modal physiological and behavior data such as electroencephalogram, near-infrared brain blood oxygen, heart rate variability, body movement, electrodermal response and gaits; the patient terminal is used for recording subjective symptoms and completing cognition and exercise task evaluation. The cloud platform intelligent analysis center constructs a multi-parameter individualized baseline through data fusion, noise suppression and time alignment, comprehensively analyzes real-time deviation, electroencephalogram abnormality, cognitive deviation and gait change by using a short-term acute early warning model and a long-term trend early warning model, and generates a risk level. The digital twinborn visualization module is used for dynamically displaying the state of the patient, and the medical care terminal performs clinical response based on the graded alarm board. According to the invention, extra-hospital multi-mode continuous monitoring, individualized trend identification and intelligent early warning can be realized, and the real-time performance of follow-up management of brain tumor patients is improved.

The invention relates to the technical field of medical information smart wards, in particular to a smart ward management method and system based on the Internet of Things. Environmental parameters in a smart ward and physiological parameters of a patient in the smart ward are obtained; performing comprehensive analysis according to the environmental parameters and the physiological parameters to obtain corresponding analysis results; and according to an analysis result, a control instruction used for adjusting environment equipment in the smart ward is generated and / or corresponding guidance information is sent to the management end, so that the ward environment and the patient state are combined, and integrity and collaboration are realized. Intelligent management and real-time monitoring and response of the ward are realized through the control instruction and / or guidance information, the timeliness of medical services is improved, dynamic allocation of medical resources is facilitated, the resource utilization efficiency is improved, the operation process is greatly simplified, and the use experience of medical staff and patients is improved.

The invention relates to an intelligent platform management system carrying infusion port patients, and relates to the technical field of data management, and the system comprises a monitoring unit which is used for collecting impedance data, temperature data and medicine use time sequence data; the intelligent analysis unit is used for constructing a dynamic health baseline of the patient, calling a preset machine learning model based on the dynamic health baseline and outputting a complication risk level of the patient; the closed-loop execution unit is used for triggering a three-dimensional life behavior guidance scheme matched with the patient state based on the complication risk level, calculating a corresponding infusion port maintenance period based on the real-time smoothness score, and generating a medicine supply instruction in combination with medicine use time sequence data; and the hierarchical interaction platform is used for generating an early warning view containing the risk level of the patient and the key attention information based on the complication risk level, and pushing maintenance appointment suggestions and planning contents at the patient side based on the maintenance period of the infusion port. The system can improve the management efficiency and safety of the patients in the infusion port.

The invention discloses a visual asynchronous event triggering and calling method based on a medical information system, which comprises the following steps of: asynchronously acquiring multi-source data streams such as clinical events, equipment monitoring, doctor advice execution and patient states in the medical information system to form a multi-source asynchronous medical data stream set; generating a system event triggering association group based on the set and creating an asynchronous event scheduling strategy table; performing system event association degree calculation on the data stream to obtain a multi-dimensional asynchronous event association matrix; and carrying out system asynchronous time delay compensation and event chain visualization processing on the incidence matrix based on the scheduling strategy table, and finally generating a dynamic asynchronous event correlation topological graph. According to the invention, by constructing a system event detection operator set, establishing cross-flow system relevance calculation and establishing a priority-based asynchronous scheduling optimization mechanism, intelligent triggering, calling and early warning functions of medical system events are realized.

Systems, methods, and computer-readable media for providing a decision support solution to medical professionals to optimize medical care through data monitoring and feedback treatment are provided herein. In another embodiment, a computer-implemented method for modeling patient outcomes resulting from treatment in a specific medical area includes receiving patient-specific data associated with a patient, determining a plurality of possible patient states under which the patient can be categorized, a current patient state under which the patient can be categorized and determining probabilities of the patient transitioning from any of the possible patient states to every other possible patient state.

A system for assessing a patient’s emotional state, for example anxiety, stress or distress levels, comprises: an imaging means which is operative to obtain at least one image of a gesture of the patient during a consultation with a clinician and to output gesture data indicative of the at least one gesture. An input terminal receives clinician input data from a clinician and patient status data is supplied which may be indicative of patient trauma. An artificial neural network determines a qualitative assessment of a patient’s emotional state based on a data matrix of the clinician input data and patient status data and a comparison of gesture data with a database of gesture data. A processor determines a patient emotional state and when a threshold in the patient emotional state is exceeded, and causes an alert to be transmitted. The gesture may be a facial gesture.

A system for the remote patient assessment and monitoring system that collects and analyzes eye-gaze information for the purposes of identifying users that show symptoms of cognitive impairment. The system administers tasks to a user via the user's computing device. A camera captures the performance of the tasks by the user. The system then verifies synchronization and then analyzes the captured performance image data to determine a patient status for the user. The system applies calibration and normalization processes to ensure that the tasks are properly presented and that the user data can be used regardless of changes to resolution, hardware, display or other factors.

The invention discloses a multi-source information warning and reminding system and method for a smart ward, and the system comprises a data collection and processing module, a data fusion and analysis module, a data warning and reminding module, a warning data storage module, and a user interaction module. The data fusion and analysis module is connected with the data collection and processing module and the data warning and reminding module, and the warning data storage module and the user interaction module are both connected with the data warning and reminding module. By integrating the Internet of Things equipment and the hospital information system, the state of a patient is comprehensively perceived, the data fusion and intelligent analysis technology is utilized to carry out accurate risk study and judgment, efficient warning is realized through a collaborative distribution mechanism, the system is continuously self-optimized according to processing feedback of medical staff, and the medical staff can carry out medical care on the patient. An intelligent clinical decision support closed loop is constructed, conversion from passive response to active early warning is realized, and the method has the characteristics of comprehensiveness, accuracy and high efficiency.

Systems, devices, and methods including a processor having addressable memory, where the processor is configured to: collect, via a set of sensors, biological signals related to patient status; collect, via an environmental monitoring device, environmental data associated with an environment of the patient; store, locally via a secure encrypted local database, the collected biological signals and the collected environmental data; detect an abnormality in the collected biological signals; increase measurement frequency of the biological signals by the set of sensors based on the detected abnormality; detect an error in the collected biological signals; determine whether the detected error in the collected biological signals of the current reading is due to environmental factors; correct the determined error in the collected biological signals; and transmit the error corrected collected biological signals as encrypted data.

A corridor display unit is configured for mounting to a surface of a corridor in a hospital or health care facility. The corridor display unit includes one or more flat panel displays and a mounting frame that outlines and encloses the flat panel display. To annunciate information about patient status or location status to caregivers, the flat panel display can display an annunciation image rendered from image files that may include a textual component and a graphical component. The annunciation image may also include real-time data and prerecorded data about the patient status or the location status.

An alarm notification system can enable a clinician to respond to an alarm notification received via a computing device, which may have more advanced functionality than a pager. The clinician's device can include a notification client which can respond to alarm notifications. The notification client can also provide one or more user interfaces that enable the clinician to view information about an alarm, such as information about a patient's status, physiological parameter values, trend data, audio / video of the patient, combinations of the same, or the like. Further, the notification client can provide functionality for a clinician to respond to an alarm, annotate an alarm, and / or indicate that the clinician can or cannot respond to the alarm, among other features. In addition, the clinician device can also (or instead) include an admit module that provides for automatic association of a patient to a device or location.

The invention provides an ICU patient remote ward-round system and method based on VR, and the system achieves the immersive remote presentation of the state of an ICU patient through high-precision data synchronization, multi-mode interaction design and a low-delay rendering architecture, remarkably improves the doctor-patient communication efficiency and the psychological pacifying effect of family members, and improves the patient experience. And a brand-new digital solution is provided for an intensive care scene. A doctor can quickly position the abnormal states of multiple patients through a VR scene (for example, the doctor can check the breathing amplitudes of the patients in 10 wards at the same time), and the ward round efficiency is improved by 300% (the traditional polling ward round needs 15 minutes for each patient, and the VR system only needs 3 minutes). Clinical tests show that after VR is used for visiting, the score of an anxiety scale (GAD-7) of family members of a patient is averagely reduced, and the score is mainly attributed to'real contact feeling 'and vital sign transparency caused by tactile interaction.

The invention relates to the technical field of data processing, and particularly provides a hospital guide method, system and device based on multi-modal data and a storage medium, and the method comprises the steps: obtaining the multi-modal data which is provided by a patient and comprises texts, medical images and physiological signals; extracting each modal feature vector and fusing the modal feature vectors into a unified patient state characterization vector; on the basis, confidence distribution of the target department is calculated through a probabilistic reasoning model; if the result does not reach the termination condition, iteratively executing the following core steps: calculating the information gain of each potential action in the predefined action set, obtaining new data according to the optimal action, updating the state of the patient and recalculating the confidence coefficient; and finally, outputting a hospital guide result meeting a termination condition. According to the invention, through multi-modal fusion and dynamic interaction decision making, the accuracy and efficiency of intelligent hospital guide are effectively improved.

The application discloses a kind of based on brain-computer interface and digital twinning acupuncture remote diagnosis and treatment system and method, it is related to wisdom medical field.Therein, doctor side brain-computer interface module is parsed into operation instruction vector by the movement imagination decoding model with the movement intention signal of doctor;Patient side brain-computer interface module is parsed into patient state vector by the feeling coding decoding model with the feeling intention signal of patient;Digital twinning interaction unit is used to construct and update digital twinning body, operation instruction vector is mapped to digital twinning body to generate expected qi reaction, patient state vector is mapped to digital twinning body to update actual qi state, and the difference of two is calculated to generate closed-loop control instruction;Execution unit is used to receive closed-loop control instruction to drive acupuncture execution device to carry out acupuncture operation.The application can quantitatively transfer qi feeling, realize doctor-patient two-way thought interaction fusion and have closed-loop self-adapting control ability, improve the precision, safety and doctor-patient collaboration of remote acupuncture.

Methods and apparatus disclosed herein relate to graphical representation of change in patient state. In various embodiments, one or more measured physiological parameters of a patient may be analyzed, which includes determining a rate of change in one or more of the measured physiological parameters over time. Based on the analysis, a graphical user interface (GUI) may be rendered. The graphical user interface may include a comet-shaped graphical element that conveys the rate of change in the one or more of the physiological parameters over time. For example, the comet-shaped graphical element may include a tail that is sized or shaped to convey the direction and the rate of change.

Systems and techniques can be used to estimate patient state during radiotherapy treatment. For example, a method can include generating, with a preliminary motion model, an extended dictionary of potential patient measurements and corresponding potential patient states. The method can include training, with a machine learning technique, a correspondence motion model that associates input patient measurements with output patient states using the dictionary. The method can include estimating, with a processor, a patient state corresponding to an input image using the correspondence motion model.

Graphical user interface of patient status monitoring in electronic devices

A system includes: one or more memories configured to: store a plurality of cardiac signals of a patient; and processing circuitry configured to: receive a respective assigned tag associated with one or more of the cardiac signals, wherein the respective assigned tag is indicative of a patient status associated with a corresponding cardiac signal of the one or more cardiac signals; based on the respective assigned tag indicative of the patient status meeting one or more criterion, filter the one or more cardiac signals to generate a subset of cardiac signals; determine an overall glycemic state of the patient based on the subset of cardiac signals; and output an indication to a user indicative of the overall glycemic state of the patient.

1. The name of the design product: computer with refractive ophthalmic procedure service graphical user interface. 2. The use of the design product: for running programs, touch interaction and displaying information. 3. The design points of the design product: the content displayed on the graphical user interface. 4. The picture or photo that best indicates the design points: design 1 front view. 5. The computer is an existing design, omit rear view, left view, right view, top view, bottom view. 6. Design 1 is designated as the basic design. 7. The use of the graphical user interface: for the management of patient status records and data in ophthalmic refractive surgery procedures. The human-computer interaction mode of the graphical user interface: click "message" in design 1 front view to enter design 1 interface change state diagram 1; click the first "XXX" in supplementary interface 1 to enter design 1 interface change state diagram 2, click the lower "lens file" in supplementary interface 2 to enter design 1 interface change state diagram 3; click "message" in design 2 front view to enter design 2 interface change state diagram 1; click the first "XXX" in supplementary interface 1 to enter design 2 interface change state diagram 2, click the lower "lens order" in design 2 interface change state diagram 2 to enter design 2 interface change state diagram 3.

The invention discloses an intelligent pressure sore prevention nursing pad and a control method thereof, and belongs to the technical field of medical instruments, and the intelligent pressure sore prevention nursing pad comprises a support formed by splicing a plurality of supporting parts and a contact part covering the upper end of the supporting part; wherein any supporting part comprises a first supporting piece and a second supporting piece, the first supporting piece comprises a first support, the second supporting piece comprises a second support, and the first support and the second support are alternately placed on the lower side of the contact part; the first support is fixedly connected with a first lifting device. The second support is fixedly connected with a second lifting device. The detection device is used for detecting the state of the patient according to the input electric signal; the execution device is used for controlling the first supporting piece and / or the second supporting piece according to the received electric signal; and the control device is used for sending a control signal to the execution device according to the control signal sent by the detection so as to control the movement of the first supporting piece and / or the second supporting piece.

The invention relates to the technical field of first-aid medical informatization, in particular to a first-aid transfer path intelligent recommendation method and system based on the AI technology, and the method comprises the following steps: S1, collecting vital sign data of a patient, vehicle running state data and traffic road condition data, carrying out cleaning and space-time alignment, and constructing a first-aid transfer state data set; and S2, performing illness criticality assessment and hospital resource matching based on the first-aid transfer state data set, locking a target hospital through a two-way resource interaction protocol, and generating a main navigation path. According to the method, the vital signs of the patient, the running state of the vehicle and the real-time road condition data are subjected to unified space-time alignment, and illness criticality evaluation, hospital resource locking and track re-planning based on medical operation stability are introduced, so that the first-aid transfer path can be dynamically adjusted according to the state of the patient and the road condition; therefore, the medical continuity and the path decision accuracy of the critical patient in the transfer process are remarkably improved, and the overall treatment efficiency is improved.

The invention relates to the technical field of medical equipment systems, in particular to a method for realizing patient priority operation in an intelligent outpatient service scene, which comprises the following steps of: 1, advancing a patient in a preliminary diagnosis state; according to the method for realizing the patient priority operation in the intelligent outpatient service scene, queuing sequence optimization: through configuration setting, several serial numbers are reserved in advance and are not participated in generation, so that the queuing sequence can be effectively optimized, and the situation that re-visit patients or number-missing patients are ranked behind more preliminary visit patients is avoided; therefore, the problem that the doctor cannot see the doctor in time within the working time is solved. According to the method, after the method is inserted into a specified patient through manual operation, a related serial number is modified into a form of'a patient state + a maximum sorting number of a patient in a current state plus one ', so that the waiting time of the patient with the number missing can be effectively shortened, and dissatisfaction brought to the patient is reduced.

This invention relates to the field of data analysis technology, specifically disclosing a method and system for secure sharing and exchange of ICU data. The method and system are characterized by the following steps: Patient status data is input into a pre-built clinical pathway prediction model to generate predicted pathway data; based on key department identifiers in the predicted pathway data, a pre-authorization token is generated for each key department identifier, and the generated pre-authorization token is sent to the corresponding department's server; according to the pre-authorized data range identifier, matching target patient data is filtered from the patient status data, and the target patient data is pre-fetched to the edge cache node corresponding to the department server; access intent data is extracted from data access requests; it is determined whether there is a target pre-authorization token that matches the department identifier and is in a valid state; and it is determined whether the data type identifier of the requested access falls within the pre-authorized data range identifier associated with the target pre-authorization token. The advantage is that it improves the efficiency of secure data sharing and exchange.

The present invention provides a method and system for evaluating the status data of patients after anesthesia. The method matches monitoring devices and acquisition devices according to sub-area numbers, evaluates and processes the index data of the monitoring devices according to preset indicators, and obtains index evaluation data; generates a restorative monitoring model according to the surgical data, determines the instruction sequence at each monitoring moment based on the restorative monitoring model and sends it to the acquisition device; counts the acquisition devices that execute the instruction sequence at the same monitoring moment in the total area to obtain an anti-collision set, calls the anti-collision strategy to sequentially adjust the instruction sequence of each acquisition device in the anti-collision set, obtains a synchronous instruction sequence and an alternating instruction sequence, and updates the instruction sequence of the acquisition device; based on the sub-area positioning device, sequentially obtains the instruction area of ​​the synchronous instruction sequence and the alternating instruction sequence, controls the acquisition device to locate and collect the restorative evaluation data according to the instruction area and instruction attributes, and obtains the patient status data based on the index evaluation data and the restorative evaluation data.

The present disclosure is directed to computer-implemented methods, systems and processor-readable tangible non- transient media storing a computer program for assessing the likelihood of a hemodynamic event occurring with respect to a first patient based on analysis of physiological parameters. Some implementations include receiving patient physiological data via processor, performing an analysis of the patient physiological data via processor to determine the likelihood of a hemodynamic event occurring with respect to a first patient by comparing patient physiological data of the first patient to at least one of patient physiological data of a plurality of additional patients and prior physiological data of the first patient.