33 results about "Patient assessment" patented technology

The invention discloses an assessment system for a patient with exercise fear, and relates to the technical field of medical health information. In order to solve the problems that postoperative exercise fears of some patients cannot be recognized in time, and the patients have different degrees of exercise fears after operation, so that thrombosis is easily induced, and quantification cannot be realized. Through triangular verification of physiological stress, behavior avoidance and psychological anxiety, the problem that a traditional scale is too high in subjectivity or insufficient in physiological monitoring specificity is solved, the evaluation accuracy is greatly improved, different rehabilitation stages can be automatically adapted based on a threshold adjustment mechanism of postoperative time and individual differences, misjudgment caused by unified evaluation is avoided, and the evaluation accuracy is improved. The method is suitable for personalized management of old people and patients with complex surgeries, personalized evaluation for the patients is carried out, intervention deviation caused by clinical misjudgment is reduced through multi-modal correlation analysis, passive diagnosis is turned into active prevention, and the postoperative thrombus incidence rate is greatly reduced through early recognition of the patients with movement fear.

A system for continuous monitoring and assessment of patient health includes: at least one wearable sensor device attached noninvasively to a patient, the sensor device configured to continuously generate new sensor data associated with the patient; and a data system comprising a database and at least one data processing device. The data processing device is configured to: collect historical data associated with other patients from the database; train and validate at least one predictive model based on the historical data; extract features from the new sensor data received from the sensor device; assess, using the trained and validated model, clinical outcomes associated with the patient based on the extracted features; and transmit the clinical outcomes to be reviewed by the patient or a clinician of the patient.

A method includes receiving input data for multiple patients, including medical data, situational data, and environmental data. The input data is stored and curated within a data store. The input data is processed through rule-based algorithms to automatically generate a real-time patient assessment for a target patient, which is fed back into the data store. A comprehensive care artificial intelligence (AI) system implements a real-time dynamic predictive AI model to process data within the data store to automatically identify causal relationships pertinent to the real-time patient assessment for the target patient, and automatically generate a real-time dynamic healthcare recommendation for the target patient, which is fed back into the data store. Both the real-time patient assessment for the target patient and the associated real-time dynamic recommendation for the target patient are conveyed as outputs.

This application relates to the field of medical data information technology, specifically disclosing a method, system, and device for matching doctor resources based on vital sign data. The method mainly includes receiving patient data sent from a patient terminal, including the patient's vital sign data; inputting the patient data into a deep learning model to obtain patient assessment data, including a disease type probability distribution; acquiring doctor information from online doctors; matching the patient's disease type probability distribution with the doctor information to obtain the total matching degree for each online doctor; and selecting the doctors with the highest total matching degree as the initial matching result. This application, by uploading disease and vital sign data to the backend, enables automatic doctor matching and remote treatment intervention, facilitating remote communication and treatment between doctors and patients, improving the efficiency of medical resource utilization, shortening patient waiting time, and ensuring patients receive timely professional medical services.

A system and method for assessing gaze stability and vestibular function using a mobile device are disclosed. The system includes a mobile application configured to execute gaze-stability testing protocols, a display module for presenting visual targets, a head-movement and eye-tracking module utilizing real-time video captured via the device's camera, a speech-recognition module for processing verbal responses, and a data-processing module to analyze head-movement and visual-acuity data. The system enables remote patient assessments and includes protocols such as static visual acuity, visual processing, and mobile gaze stabilization tests to evaluate metrics like peak head velocity and visual acuity. Results can be processed in real-time and can be securely transmitted to clinicians for remote evaluation. The disclosed system provides a cost-effective, user-friendly telehealth solution for vestibular function assessment, eliminating the need for specialized equipment or clinical visits.

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.

A dialysis system with integrated concurrent appointment and patient assessment capabilities, comprising: a dialysis machine; at least one camera and a video monitor communicatively coupled to the dialysis machine and configured to enable concurrent telemedicine communication between a patient undergoing a dialysis session and at least one healthcare provider remote from the dialysis machine; a handheld imaging device coupled to the dialysis machine, the handheld imaging device configured to capture high-resolution images of patient-specific conditions during the telemedicine session; a scheduling system communicatively coupled to the dialysis machine and configured to: automatically communicate dialysis machine availability to a healthcare scheduling system associated with the at least one healthcare provider, coordinate concurrent appointment confirmations amongst the patient, the dialysis machine availability, and the at least one healthcare provider, and automatically establish a telemedicine session during a portion of the dialysis session.

The invention discloses a cerebral apoplexy thrombolysis patient evaluation method, device and equipment and a storage medium, and the evaluation method comprises the steps: obtaining patient information, obtaining the weight data of a patient from a record database, reading the type of a drug, obtaining a dose coefficient and a conversion factor from a drug database, dose data of the thrombolytic drug is calculated through a first formula and is sent to the display module to be displayed, rapid conversion of the administration dose is achieved, calculation errors of the thrombolytic drug dose are avoided, then blood pressure data, heart rate data and blood oxygen saturation data of a patient are obtained in real time, and the accuracy of thrombolytic drug dose calculation is improved. And judging whether the vital signs are correspondingly located in the first range, the second range and the third range or not, and if not, sending out an alarm signal, so as to accurately judge the vital sign data of the thrombolysis patient, timely discover abnormity and send out an early warning.

A system includes a data acquisition engine that receives input data for multiple patients, including medical, situational, and environmental data, which is stored and curated within a data store. A patient assessment engine of the system processes the input data through rule-based algorithms to automatically generate a real-time patient assessment for a target patient, which is fed back into the data store. The system includes a comprehensive care artificial intelligence (AI) system that implements a real-time dynamic predictive AI model for processing data within the data store to automatically identify causal relationships pertinent to the real-time patient assessment for the target patient, and automatically generate a real-time dynamic healthcare recommendation for the target patient, which is fed back into the data store. A dashboard generator of the system provides output conveying both the real-time patient assessment for the target patient and the associated real-time dynamic recommendation for the target patient.

Systems and / or methods for assessing the sleep quality of a patient in a sleep session are provided. Data is collected from the patient and / or physician including, for example, sleep session data in the form of one or more physiological parameters of the patient indicative of the patient's sleep quality during the sleep session, a subjective evaluation of sleep quality, etc.; patient profile data; etc. A sleep quality index algorithm, which optionally may be an adaptive algorithm, is applied, taking into account some or all of the collected data. Sleep quality data may be presented to at least the patient, and it may be displayed in any suitable format (e.g., a format useful for the patient to be appraised on the progress of the treatment, a format useful for a sleep clinician to monitor progress and / or assess the effectiveness of differing treatment regimens, etc).

This application relates to the technical field of data management and analysis, and particularly to a method and system for evaluating the efficacy of liver cancer TACE based on patient-reported outcomes. Obtain a request set monitoring request transmitted by an evaluation server, where the request set monitoring request is configured with a first request set tag; according to the first request set tag, obtain the associated request report and the evaluation record report corresponding to the request report; perform a credibility evaluation on the request report based on the evaluation record report to obtain a first credibility evaluation record; if it is determined that the request report is credible through the first credibility evaluation record, then execute the request time point according to the monitoring priority and perioperative key points at the request time point to complete the target patient evaluation project. The present invention can solve the problem of difficult evaluation of the efficacy of liver cancer TACE, promote the development of patients' self-efficacy monitoring and efficacy management work in clinical practice, and help improve the prognosis and quality of life of patients.

This invention is directed to methods of reducing incidence or reducing severity or preventing progression of or preventing or treating or preventing pathogenesis of a cancer in a subject, wherein said subject is predisposed to, showing early indications of or suffering from cancer, or methods of reducing intracellular bacterial infection in subjects at risk for or suffering from carcinoma, or from pre-neoplastic or metaplastic tissue changes, comprising contacting at least one cell in an affected tissue in said subject with an agent reducing intracellular bacterial infection in affected tissue, reducing localization of intracellular bacteria proximally to nuclei in cells of affected tissue, or a combination thereof. This invention is further directed to methods of personalized optimized diagnosis and therapy in a subject, comprising screening a subject predisposed to, or at risk for cancer and identifying whether the pre-cancerous or cancerous tissue in the subject is intracellularly infected with bacteria, optionally assessing the intracellular localization of the bacteria-containing compartment to determine a distance of same from a nucleus in the cell; optionally assessing the oncogene profile expression in the subject, and further scoring the subject in terms of the prognosis and potential for therapy and then treating the subject to reduce the intracellular bacterial burden, promote re-localization of the bacterial compartment to be at a further distance from the nucleus, successfully eradicate intracellular bacterial infection, prevent or reduce cell-to-cell spread of the bacteria or any combination thereof. Compositions and kits for effecting the methods of this invention are also provided. This invention still further provides a system for identifying patients who would benefit from adjunctive antimicrobial therapies, enhancing treatment outcomes by providing comprehensive microbial feature characterization, including spatial localization of key microbes associated with treatment resistance in an integrated platform with advanced machine learning algorithms, ultimately providing a personalized patient assessment, enhancing treatment outcomes and optimizing therapeutic strategies.

The invention relates to an exemption treatment system for an AIDS patient, and the system comprises a patient information input module which is used for inputting basic information of the patient; the patient evaluation module is used for evaluating psychological, physical and social indexes of the patient according to the input information; the providing and processing module for formulating or adjusting a patient treatment scheme is connected with the patient evaluation module; and the AIDS patient intervention rehabilitation processing module is connected with the processing module for formulating or adjusting the patient psychological treatment scheme. The invention further relates to a corresponding method and device, a processor and a storage medium thereof. By adopting the system, the method and the device for the exemption treatment system evaluation and rehabilitation management for the AIDS patient, the processor and the storage medium thereof, an individualized, intelligent and convenient psychological treatment scheme is formulated and provided for the AIDS patient; therefore, psychological-physiological-social rehabilitation of AIDS patients can be realized to the greatest extent.

The invention discloses a pulmonary embolism adverse event risk assessment method, device and equipment and a storage medium, a functional pulmonary embolism adverse event risk assessment model is constructed, three objective parameters of age, heart rate and blood oxygen partial pressure are directly incorporated into the model, weights of the age, the heart rate and the blood oxygen partial pressure are obtained through objective derivation (non-manual setting), and the risk assessment model is used for evaluating the risk of the pulmonary embolism adverse event. According to the method, the dependence on doctor experience is thoroughly eliminated, assessment deviation caused by subjective factors is avoided, the functional risk assessment model has continuity, and the problem that the assessment results of two patients with similar parameters are greatly different in the prior art is avoided.

The invention relates to the technical field of medical treatment, and discloses a vibration capsule endoscope safety monitoring system, which comprises a patient evaluation module, an equipment monitoring module and a real-time early warning module, and is characterized in that the patient evaluation module is used for obtaining basic information data of a patient, then carrying out patient applicability evaluation, and judging whether the patient is applicable to a vibration capsule endoscope according to an evaluation result; the equipment monitoring module is used for monitoring patient check monitoring data after a patient is suitable for the vibration capsule endoscope and the vibration capsule endoscope is implemented, calculating a patient state index, an equipment performance index and a comprehensive safety index according to the patient check monitoring data, and performing abnormality assessment; and the real-time early warning module processes and receives the abnormal signal and gives an abnormal alarm. Through accurate evaluation, dynamic monitoring and intelligent early warning driven by data, the safety and reliability of inspection are remarkably improved, and a scientific basis and risk guarantee are provided for doctors and patients.

Assessment of pulmonary function in coronavirus patients includes use of a computer aided diagnostic system to assess pulmonary function and risk of mortality in patents with coronavirus disease 2019. The CAD system processes thoracic X-ray data from a patient, extracts imaging markers, and grades disease severity based at least in part on the extracted imaging markers, thereby distinguishing between higher risk and lower risk patients. An alternative approach is to use an automatic CAD system to grade COVID-19 from computed tomography (CT) images to determine an accurate diagnosis of lung function.

A system and method for assessing gaze stability and vestibular function using a mobile device are disclosed. The system includes a mobile application configured to execute gaze-stability testing protocols, a display module for presenting visual targets, a head-movement and eye-tracking module utilizing real-time video captured via the device's camera, a speech-recognition module for processing verbal responses, and a data-processing module to analyze head-movement and visual-acuity data. The system enables remote patient assessments and includes protocols such as static visual acuity, visual processing, and mobile gaze stabilization tests to evaluate metrics like peak head velocity and visual acuity. Results can be processed in real-time and can be securely transmitted to clinicians for remote evaluation. The disclosed system provides a cost-effective, user-friendly telehealth solution for vestibular function assessment, eliminating the need for specialized equipment or clinical visits.

An intelligent automated patient assessment system comprising a system processor; software stored on a tangible medium operationally coupled to the system processor; and a user interface operationally coupled to the processor whereby, in response to the user interface, the processor executes the software to automatically output patient assessment results in response to patient inputs. In the illustrative embodiment, the processor is programmed with a natural language processor coded for automated sentiment detection. The system detects and processes neutral, positive and negative 10 sentiment for automated mood detection. Mood detection is then incorporated into an assessment provided to a clinician. The system further includes code for activating an alarm in response to detected negative sentiment.

Various methods and systems are provided for breast positioning assistance during mammography and image guided interventional procedures. In one example, a sensor detection system is utilized to evaluate one or more of a patient position, a breast position, and breast anatomy to determine if the patient and breast are adjusted to desired positions preferred for a desired view and imaging procedure prior to acquiring x-ray images, with real-time feedback provided to guide the user to position the breast and / or the patient based on the evaluation. The evaluation is performed by an artificial intelligence (AI) model stored on the x-ray mammography system that is trained using sensor data obtained from imaging procedures performed using the x-ray mammography system and fashioned into training datasets by a training module located on the x-ray mammography system.

A system and method for detecting and predicting surgical wound infections is disclosed. The method includes receiving wound site data, ambient data, reference site data and auxiliary data from one or more wearable devices, one or more sensing units or a combination thereof, a patient history data from electronic health record database, patient assessment data from a clinical professional, information associated with a patient from the patient or any combination thereof. The method further includes determining one or more desired parameters and extracting one or more features from the one or more desired parameters. The method includes applying the extracted one or more features into a trained Artificial Intelligence (AI) based data model and a trained statistical model for the patient. Further, the method includes detecting presence of an infection, predicting likelihood of infection and generating a wound infection score.

The Ultrasound Lymphatic Treatment System and associated Manual and Ultrasound-Enhanced Lymphatic Drainage Method provide an integrated solution for preoperative and postoperative lymphatic stimulation. The system comprises a programmable ultrasound delivery subsystem, manual drainage implements, and a protocol-driven control module with real-time sensor feedback. The method includes individualized patient evaluation, mapping of lymphatic zones, and sequential application of manual drainage and low-frequency ultrasound along anatomically validated pathways. The system generates a patient-specific lymphatic zone map and session ultrasound parameter set, enabling reproducible, zone-targeted therapy. Closed-loop regulation of ultrasound parameters and contact pressure ensures safety and efficacy. The invention standardizes the combination of manual and ultrasound modalities, accelerates edema resolution, reduces pain, and supports immune recovery, addressing the lack of coordinated, evidence-based lymphatic care in surgical patients.

An anti-IL1RL1 / IL-33 / NF-kB antibody and a method for treating acute myeloid leukemia using same. The anti-IL1RL1 / IL-33 / NF-kB antibody comprises an anti-IL1RL1 antibody, an anti-IL-33 antibody, and an anti-NF-kB antibody. The treatment method comprises: step 1, patient assessment and diagnosis; step 2, antibody selection and preparation; step 3, treatment plan formulation; step 4, antibody administration; step 5, efficacy monitoring and assessment; and step 6, subsequent treatment and follow-up. The combined use of the anti-IL1RL1 antibody, the anti-IL-33 antibody, and the anti-NF-kB antibody for treating AML can inhibit the proliferation and survival of AML cells at multiple levels by means of simultaneously blocking the IL-33 / IL1RL1 signaling pathway and NF-kB activation, thereby improving the therapeutic effect.

Systems and methods for physical therapy and training delivery are presented herein. These technologies may comprise notifying a patient of a scheduled prescribed activity via an on-location at least one client device or console; identifying the patient with one or more sensors connected to or part of the at least one client device or console; confirming, via the at least one client device or console, the patient's acknowledgment of the notification; demonstrating, via a graphical interactive avatar displayed on the at least one client device or console, the prescribed activity to be carried out by the patient; confirming, via the at least one client device or console, that the patient is undertaking or will be undertaking the prescribed activity; capturing, via the one or more sensors, frames of the patient undertaking the prescribed activity; and processing frames of the patient undertaking the prescribed activity.

A system and method for detecting and predicting surgical wound infections is disclosed. The method includes receiving wound site data, ambient data, reference site data and auxiliary data from one or more wearable devices, one or more sensing units or a combination thereof, a patient history data from electronic health record database, patient assessment data from a clinical professional, information associated with a patient from the patient or any combination thereof. The method further includes determining one or more desired parameters and extracting one or more features from the one or more desired parameters. The method includes applying the extracted one or more features into a trained Artificial Intelligence (AI) based data model and a trained statistical model for the patient. Further, the method includes detecting presence of an infection, predicting likelihood of infection and generating a wound infection score.

An improved urodynamic study system for generating an abdominal pressure from a measurement of vesical pressure and a measurement of electrical activity of abdominal muscles using electromyography is provided. The system is characterized by a vesical catheter adapted or otherwise equipped to sense vesical pressure, an abdominal electromyography sensor or sensor array to sense electrical activity of abdominal muscles, and, a signal processing interface for producing synchronous channels of vesical pressure and generated abdominal pressure in furtherance of performing a urodynamic patient assessment.

This invention discloses a blood pressure measurement system based on conformal prediction, relating to the field of non-invasive blood pressure measurement. The system specifically includes: a signal acquisition module, a feature extraction module, a blood pressure estimation module, a reference blood pressure measurement module, and a conformal prediction module. This invention introduces a conditional conformal prediction method, providing corresponding confidence intervals based on the user's heart rate variability level, facilitating accurate blood pressure assessment by physicians. Particularly for patients with atrial fibrillation, this invention provides more reliable blood pressure measurements, assisting in the monitoring and treatment of atrial fibrillation. This invention utilizes conformal prediction to generate confidence intervals for blood pressure prediction, providing a measurement interval that covers the reference value based on a single measurement value; the confidence intervals generated by conformal prediction can include the reference blood pressure value with a specific coverage rate; and it provides confidence intervals for blood pressure measurement for patients with atrial fibrillation, facilitating accurate patient assessment by clinicians.

A method for assessment of brain signals of a patient includes determining, by one or more processors, a cluster of neural data occurring at a brain of the patient and outputting, by the one or more processors, a request for a user to provide patient state information for the cluster of the neural data in response to determining that the cluster of the neural data is occurring at the brain of the patient. The method further includes associating, by the one or more processors, the patient state information with the cluster of the neural data to generate patient assessment information and outputting, by the one or more processors, the patient assessment information.

The invention relates to a construction method of an MDS / AML prognosis evaluation model, which comprises the following steps: (1) collecting data required by an IPSS-R evaluation system of a patient, and detecting whether TP53, DDX41, WT1, ROBO1 and FLT3-ITD genes in a sample are mutated or not; (2) grouping the IPSS-Rs according to the integral of the IPSS-Rs and assigning the IPSS-Rs; (3) assignment is carried out according to the mutation states of TP53, DDX41, WT1, ROBO1 and FLT3-ITD; (4) substituting the IPSS-R assignment obtained in the step (2) and the assignments corresponding to the various gene mutations obtained in the step (3) into a formula to calculate an MDS / AML-IPSS-M value; and (5) grouping according to the MDS / AML-IPSS-M value calculated in the step (4), and performing prognosis evaluation. The model provided by the invention is used for prognosis evaluation of MDS / AML patients, provides important guidance for subsequent treatment of the patients, and has good clinical application value.

A stroke scale system includes a patient support apparatus having one or more pressure sensors that can be grasped by a patient, one or more motion detectors that detect movements of the patient, a display unit, an audio unit; and a controller. The stroke scale system performs a series of stroke scale examinations. At least one stroke scale examination instructs the patient to grasp a portion of the patient support apparatus, and the pressure sensors determine compliance with the instructions by measuring an applied pressure to the portion of the patient support apparatus. The stroke scale system calculates a stroke scale score by combining scores determined from the series of stroke scale examinations.

The present disclosure encompasses systems and methods for determining whether an individual is present with sepsis or determining the risk of developing a high risk individual to sepsis, including within about 24 hours after obtaining measurements and / or information of one or more factors associated with the individual. In particular embodiments, an output (e.g., a quantitative value) may be generated using one or more input characteristics (e.g., one or more demographic information, patient evaluation, vital signs, hematological laboratory measurements, chemical panel measurements, and / or sepsis-related biomarkers), the output indicates that the individual's risk of developing sepsis is a low risk, a medium risk, a high risk, or a very high risk.