10 results about "Health reporting" patented technology

Embodiments provide for data input methods and systems for computer record storage and retrieval. In embodiments, an artificial intelligence system or a computer-based nodal analysis system allows for scanning or document acceptance, sorting, deletion of duplicate materials, storage and retrieval of data for use by individuals, such as health care professionals. Access to the methods and systems may be monitored or allowed according to different criteria such as the satisfaction of a payment criteria.

The technical scheme of the present application discloses a kidney transplantation single disease follow-up database system based on a hospital intranet environment, comprising a data integration layer, an intelligent analysis layer and a doctor-patient linkage layer. Through the cooperative operation of the three-layer technical architecture designed by the present application, the three core problems of the prior art are comprehensively solved, and the following technical effects are achieved: at the data integration level, automatic and real-time integration of multi-port medical data of kidney transplantation patients is realized, the data integration efficiency is improved by 90%, the accuracy rate reaches 99.5%, and the traceability and privacy security are significantly improved; at the data analysis level, the AI-driven analysis model realizes automatic generation of patient whole-cycle health reports, large-sample group feature mining and real-time abnormality early warning, and the doctor data analysis workload is reduced by 80%, and the abnormal data response time is shortened to the minute level.

The application discloses a kind of campus health management system and method based on group benchmark analysis, comprising: data acquisition module, for collecting the health and behavior data of student individual, and implementing data anonymization processing;Data processing and analysis module, including group clustering unit, for clustering the anonymized student individual data into homogenization analysis group according to student group attribute;Benchmark generation unit, for calculating the dynamic statistical benchmark band of one or more health indicators in each analysis group based on historical data within the set time window;Individual comparative analysis unit, for comparing each student individual data with the dynamic statistical benchmark band of corresponding health indicators of its analysis group, and calculating the relative deviation of individual health indicators;Early warning and report generation module, for triggering hierarchical early warning according to individual comparative analysis result, and generating visual health report. It can be widely applied to the field of campus health management technology.

This application relates to the field of nebulizer technology, and more particularly to a health monitoring method and system based on a nebulizer. The method includes: acquiring the nebulizer's on / off frequency; acquiring the user's current respiratory rate based on the on / off frequency; determining whether the current respiratory rate meets preset health requirements; if the current respiratory rate does not meet the preset health requirements, acquiring the user's target information, current status, and historical diagnostic records; acquiring a frequency calibration coefficient based on the target information, current status, and historical diagnostic records; acquiring a calibrated respiratory rate based on the current respiratory rate and the frequency calibration coefficient; generating a health report based on the calibrated respiratory rate, and sending the health report to the user terminal. This application helps improve the accuracy of health reports, meeting the user's need for real-time and accurate monitoring of respiratory rate and obtaining health reports during nebulizer treatment.

The invention discloses a health report generation method, wearable equipment and a storage medium, and relates to the technical field of physiological signal processing, and the method comprises the steps: obtaining a target physiological signal detected by a target user in a current time period based on the wearable equipment, and determining a target physiological feature according to the target physiological signal; collecting detection environment parameters of the wearable device in the current time period; according to the target physiological signal, blood pressure change factor information causing change of the blood pressure value level of the target user is obtained through recognition; a health report is generated according to the obtained first blood pressure baseline feature, the target physiological feature, the detection environment parameters and the blood pressure change factor information, and the first blood pressure baseline feature is a reference value corresponding to each physiological feature in the standard human body state. According to the method and the device, the convenience of the wearable equipment is utilized, and the blood pressure change factor information, personalized reference characteristics and other information are comprehensively considered, so that the detection cost is reduced, and meanwhile, the accuracy of health optimization suggestion generation is improved.

The present application relates to the intelligent monitoring and feeding method based on the linkage of pet defecation-diet-health data, and belongs to the technical field of pet intelligent monitoring.The present application comprises the following steps: step one: data acquisition stage, the step one is specifically as follows: S1: defecation information acquisition; S2: food intake information acquisition; S3: image and weight information acquisition; step two: data processing stage, the step two is specifically as follows: S1: pretreatment of the collected information; S2: extraction of image information, identification of feces form; S3: establishment of correlation analysis model, generation of health score; step three: intelligent feeding control stage, the step three is specifically as follows: S1: triggering of feeding; S2: detection of residual amount; step four: health early warning stage, the step four is specifically as follows: S1: triggering of early warning when data reaches an abnormal value; S2: provision of diet adjustment suggestions according to the health report.

A system (100) for real-time environment monitoring and health tracking is provided. The system includes a wearable mask (110) adapted to fit on a user's face. A sensor unit (120) obtains a plurality of parameters from the user and surrounding environment. A receiving module (150) receives data from a plurality of sensors. A processing module (160) processes the data received from the plurality of sensors by utilizing an artificial intelligence model. A notification module (170) triggers an alert to a user device (270) if the fall detection sensor detects a sudden fall of the user, generates the alert to the user device if abnormal cough patterns are detected. A feedback module (180) transmits a health report of the user to the user device. A tracking module (185) enables the user to locate the wearable mask if misplaced by activating a buzzer positioned in the wearable mask via the user device.

A wearable electronic airway device for wellness-focused and medical-focused application can integrate adjustable mandibular support for OSA management or sensor-based concussion monitoring. Embodiments can include modular sensors (e.g., PPG, accelerometers), AI analytics, and a companion app with health reports for metrics such as sleep duration, restfulness, average SpO2, resilience, and diagnostic thresholds (AHI, impacts). Embodiments thereby can assist with enhancing health outcomes through non-invasive, AI-enhanced technology.

The application discloses a kind of intelligent application health monitoring method, device and medium, the method includes: starting health monitoring process reads preset configuration parameter, creates corresponding health state queue for each target application according to preset configuration parameter, and records recent reporting timestamp, the preset configuration parameter includes fatal level threshold, maximum historical number, time window length, timeout threshold and warning threshold and serious abnormal threshold of times / time dimension;Receive the current health state uploaded by each target application through health reporting component, the current health state includes discrete level, text description and reporting timestamp;According to current health state, update recent reporting timestamp, and utilize preset configuration parameter to judge the health condition of target application.The application can comprehensively multidimensional index, real-time evaluation application health state, and can be linked with quick recovery mechanism, to improve application high availability and realize quick failure perception and recovery.

In one example, an ambulatory medical device is provided. The ambulatory medical device includes a plurality of subsystems, at least one sensor configured to acquire data descriptive of a patient, a user interface and at least one processor coupled to the at least one sensor and the user interface. The at least one processor is configured to identify subsystem status information descriptive of an operational status of each subsystem of the plurality of subsystems and to provide a device health report for the ambulatory medical device via the user interface, the device health report being based on the operational status of each subsystem.