54 results about "Patient assessment" patented technology

Disclosed in the present invention are a helium-neon laser therapy method and application based on adaptive beam focusing. The technical method belongs to the technical field of medical lasers, and realizes adaptive beam focusing optimization for helium-neon laser therapy. The process comprises: patient assessment, which involves acquiring an image and data of a treatment region; image processing and analysis, which involves performing feature extraction and lesion segmentation by using a convolutional neural network (CNN) and a U-Net algorithm; laser parameter setting based on wavefront optimization, which involves adjusting laser parameters by means of a feedback control system; therapy execution, which involves tracking and adjusting a beam in real time by means of wavefront optimization and an optical flow algorithm; result assessment and adjustment, which involves assessing a treatment effect by using the CNN and the U-Net algorithm again, and adjusting the laser parameters for repeated treatments if necessary; and finally, assessing a treatment result for the patient after the treatment is completed. The method improves the accuracy, effect and safety of treatment, and increases the degree of satisfaction of a patient.

Methods, systems, and computer-readable media are provided for managing health status of persons with a chronic condition including providing dynamic, adaptive monitoring, detection, and prediction of suicide risk to a person at risk for suicide related to mental health. In an embodiment, a patient-assessment application is used to obtain information periodically on a patient's mental health status. Based on this information, a logistic regression model is employed to determine a patient's probability of attempting suicide. The probability is evaluated against a default threshold to determine if the patient's status has changed significantly, and if the threshold is exceeded, an action is evoked. In one embodiment, the action includes providing notice to the patient's care provider, caregiver, or case manager.

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.

The present invention relates to a computer-implemented method for assessing and determining a complexity level of at least a portion, or pillar, of a clinical trial study. The method may be implemented by a computing device including at least a processor; a memory and an input and / or output elements. It comprises the steps of selecting and / or defining a clinical trial protocol and, based on the selection and / or definition thereof, activating and / or generating data entries for a set of corresponding parameters correlated to a set-up of the portion of the clinical trial study. The parameters refer to objectives; and / or design; and / or methods; and / or patient assessment procedures and / or patient data collection schedules of the clinical trial study. The method further comprises the steps of automatically assigning a score value to each parameter in the set of parameters; applying statistical rules to the score value of each parameter to obtain a scaled score value; and calculating a complexity level for the portion of clinical trial study, based on the scaled score values of each parameter in the set of parameters.

The invention relates to a labiolingual muscle mechanical characteristic acquisition and analysis system, and the system comprises a fixing part which is combined with an oral appliance so as to be fixed in the oral cavity of a user; the acquisition piece is used for acquiring a lip mechanical signal generated by the lip and / or a palate side mechanical signal generated by the tongue muscle; and the analysis part is used for identifying tongue muscle strength information and / or lip muscle strength information of the user according to the lip mechanical signal and / or the palate side mechanical signal, and generating patient evaluation information of the user according to the tongue muscle strength information and / or the lip muscle strength information. The embodiment of the invention is combined with a corresponding oral appliance to be fixed in the oral cavity to monitor the strength of the tongue muscle and the lip muscle of a patient in real time, so that the strength of the tongue muscle and the lip muscle of the patient during training and non-training periods can be monitored, the patient and a doctor can check the conditions of the tongue muscle and the lip muscle of the patient in real time, and the user experience is improved through information processing and analysis of a terminal system. And the condition of the patient is correspondingly evaluated, so that the patient is reminded and guided.

Systems and methods for assessing a patient and predicting patient outcomes are provided. The system may comprise an electronic medical records (EMR) subsystem and a data analysis and prediction subsystem. The method may comprise: receiving video and audio data of a patient assessment including at least one gait or balance assessment activity and / or at least one cognitive assessment activity; processing the video data to obtain pose information; processing the audio data to obtain speech information; extracting at least one gait or balance measurement from the pose information; extracting at least one cognitive measurement or cognitive normative score from the speech information; and generating, via a machine learning model, a prediction of a patient outcome using the at least one gait or balance measurement and / or the at least one cognitive measurement or cognitive normative score as input.

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.

Systems and methods for assessing a patient and predicting patient outcomes are provided. The system may comprise an electronic medical records (EMR) subsystem and a data analysis and prediction subsystem. The method may comprise: receiving video and audio data of a patient assessment including at least one gait or balance assessment activity and / or at least one cognitive assessment activity; processing the video data to obtain pose information; processing the audio data to obtain speech information; extracting at least one gait or balance measurement from the pose information; extracting at least one cognitive measurement or cognitive normative score from the speech information; and generating, via a machine learning model, a prediction of a patient outcome using the at least one gait or balance measurement and / or the at least one cognitive measurement or cognitive normative score as input.

The invention relates to the technical field of medical treatment, and discloses a method for evaluating the standing balance ability of a patient based on an internet hospital, and the method comprises the following steps: S1, collecting the basic information of the patient, including age, gender, medical history and the like, and guaranteeing that the environment is safe, smooth and free of obstacles; s2, explaining evaluation purposes and steps, well communicating with the patient, and relieving the nervous mood of the patient; s3, performing evaluation according to a Berg balance scale: a, informing a patient of evaluation purposes and specific steps to ensure understanding and cooperation of the patient; b, testing evaluation items in a Berg balance scale; c, using a standardized scoring guide and a demonstration video to assist in evaluation. Through a standardized scoring guide and a demonstration video, subjective differences among evaluators are reduced, scoring consistency is improved, reliability of evaluation results is ensured, multiple evaluation is performed in different time periods, multiple results are comprehensively analyzed, the balance ability of a patient can be comprehensively reflected, and errors caused by single evaluation are reduced.

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.

Systems and methods are provided for patient evaluation. The systems may include a mobile device and a central server. The mobile device can conduct an automated assessment that detects at least one of traumatic brain injury or concussion in a patient. The automated assessment can include in part displaying a clinical condition questionnaire and receiving responses to the clinical condition questionnaire from the patient. The mobile device can provide a record of the automated assessment of the patient to the central server. The central server can receive the record of the automated assessment of the patient, receive a request to determine a clinical state of a patient, diagnose the clinical state of the patient based on the received record of the automated assessment and stored records of prior automated assessments, and provide an indication of the clinical state of the patient.

The invention relates to the technical field of data management and analysis, in particular to a liver cancer TACE curative effect evaluation method and system based on patient report outcome, and the method comprises the steps: obtaining a request set monitoring request transmitted by an evaluation server, the request set monitoring request being configured with a first request set label; acquiring an associated request report and an evaluation record report corresponding to the request report according to the first request set label; performing credibility evaluation on the request report according to 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, the request time point is executed according to the monitoring priority of the request time point and the perioperative key point so as to complete the target patient evaluation item. According to the invention, the problem of liver cancer TACE curative effect evaluation can be solved, the development of self-curative effect monitoring and curative effect management work of patients in clinic is promoted, and the prognosis and life quality of the patients can be improved.

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.

Assessment of pulmonary function in coronavirus patients includes use of a computer aided diagnostic (CAD) system to assess pulmonary function and risk of mortality in patients with coronavirus disease 2019 (COVID-19). The CAD system processes chest 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.

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.

To perform an objective evaluation of the QOL of a patient by a medical worker to improve the medical quality.SOLUTION: An electronic medical chart system includes: an input unit that receives an input of an evaluation of a patient by a medical worker or a communication between the medical worker and the patient; a language processing unit that performs language processing for either the evaluation of the patient or communication which is input through the input unit; and a numeralization unit that numeralizes the quality of life (QOL) of the patient by using a result of processing by the language processing unit.SELECTED DRAWING: Figure 1

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.

Systems and methods for graph based assessment of a patient are provided. Medical imaging data and non-imaging medical data of a patient are received. The medical imaging data and the non-imaging medical data are encoded into encoded features using a graph based machine learning network by comparing the patient with patients of a patient population based on a graph of the patient population. An assessment of the patient is determined based on the encoded features using a machine learning classifier network. The assessment of the patient is output.