Abstract: The present disclosure relates to a method and non-transitory machine-readable storage medium encoded with instructions for using prediction models for predicting values, the medium comprising instructions for receiving a plurality of entry identifiers, instructions for receiving a value for each of the plurality of entry identifiers, instructions for determining whether the value for each of the plurality of entry identifiers has changed and a magnitude of the change, instructions for building a model for predicting a time-to-value change, instructions for building a model for predicting a future magnitude of change, instructions for performing a simulation using the model for predicting the time-to-value change and the model for predicting the future magnitude of change and instructions for outputting a confidence interval.

Abstract: A method for calculating an augmented health risk score by a health risk system including a processor, including: receiving, by the processor, CO2 level data and location data for a user; receiving, by the processor, location data for the user; determining, by the processor, when the user is outdoors based upon the received CO2 level data and calculating an outdoor pollution exposure based upon pollution data for the user's location; determining, by the processor, when the user is indoors based upon the received CO2 level data, calculating a ventilation rate based upon the received CO2 level data and the local outdoor pollution levels, and calculating an indoor pollution exposure based upon pollution data for the user's location; and calculating, by the processor, the augmented health risk score based upon the outdoor pollution exposure, indoor pollution exposure, a medical history of the user, and demographic information of the user.

Abstract: Systems and methods are provided for healthcare quality measurement. A user interaction module receives a first unstructured quality indicator from a first healthcare quality delivery system. A natural language processing engine, including a quality indicator framework and a library parses the unstructured quality indicator to identify key words and relationships therebetween. A structured quality indicator generator generates suggested structured quality indicators from unstructured quality indicators. The suggested structured quality indicators are standardized according to a predetermined standard A quality measure engine generates a query corresponding to a selected one of the structured quality indicators. A data repository outputs data from executing the query thereon. A quality measure dashboard outputs the result data.

Abstract: The present disclosure pertains to a system for facilitating configuration modifications for a patient interface computer system based on a patient-specific risk alert model. In some embodiments, the system obtains (i) lifestyle information associated with a patient, (ii) disease information associated with the patient, and (iii) one or more physiological measurements of the patient. The system monitors the patient for one or more threshold levels of exacerbation based on a risk alert model, the lifestyle information, the disease information, and the one or more physiological measurements. The system causes a configuration of the patient interface computer system to be modified based on the monitoring for the one or more threshold levels of exacerbation.

Abstract: There is provided a method and apparatus for adjusting a monitoring system which is arranged to receive measured values of a physiological characteristic of a subject and to generate an alarm when the received measured values meet at least one predefined alarm generation criterion.

Abstract: A device and method for bioimpedance spectrography corrects for breathing artifacts. A breathing signal is used in conjunction with an impedance signal to adjust for a point in time within a respiratory cycle of a user at which the measurements are made. The correction allows the device to characterize tissue parameters accurately with fewer measurement points.

Abstract: There is provided a method of operating a system to educate a user of the system about a condition of interest, the method comprising: receiving information that identifies a condition of interest; obtaining peer data from one or more databases, the one or more databases comprising health data about a plurality of people, the people each having one or more primary conditions, the health data including data about the one or more primary conditions and any secondary condition that affected the health or wellbeing of the people while the people were experiencing the one or more primary conditions; wherein the obtained peer data comprises the health data for people having a primary condition corresponding to the condition of interest; analyzing the peer data to determine a plurality of groups of people, wherein the people are grouped according to their secondary conditions; and generating a plurality of sets of visualization data based on the analysis of the peer data, each set of visualization data being generat

Abstract: The present disclosure relates to a method and non-transitory machine-readable storage medium encoded with instructions for using prediction models for predicting values, the medium comprising instructions for receiving a plurality of entry identifiers, instructions for receiving a value for each of the plurality of entry identifiers, instructions for determining whether the value for each of the plurality of entry identifiers has changed and a magnitude of the change, instructions for building a model for predicting a time-to-value change;, instructions for building a model for predicting a future magnitude of change, instructions for performing a simulation using the model for predicting the time-to-value change and the model for predicting the future magnitude of change and instructions for outputting a confidence interval.

Abstract: There is provided a method and apparatus for adjusting a monitoring system which is arranged to receive measured values of a physiological characteristic of a subject and to generate an alarm when the received measured values meet at least one predefined alarm generation criterion.

Abstract: A wearable device for a patient includes a sock configured for wearing on a foot of a patient. A plurality of vital sign sensors is operably attached to the sock. The vital sign sensors are configured to measure vital sign data of the patient. At least one electronic processor is programmed to detect a state of a chronic illness based on the vital sign data measured by the plurality of vital sign sensors.

Abstract: There is provided a method for estimating the volume of fluid in part of the body of a subject, the method comprising obtaining a measurement of the circumference, c, of the part of the body of the subject; obtaining a measurement of the impedance of the part of the body of the subject using electrodes attached across the part of the body of the subject; and estimating the volume of fluid in the part of the body of the subject from the measurement of impedance and the measurement of the circumference c. An apparatus comprising a control unit configured to perform the method is also provided.

Abstract: The present invention relates to a device, system and method for assessing the information needs of a person.

Abstract: There is provided a method for use in monitoring a physiological characteristic of a subject, the method comprising: obtaining a general variability measure of the physiological characteristic, wherein the general variability measure is based on a historical data set of values of the physiological characteristic from a plurality of further subjects; calculating a personalization factor specific to the subject, based on physiological data relating to the subject; generating at least one personalized abnormality criterion for the physiological characteristic, based on the obtained general variability measure and the calculated personalization factor; receiving a measured value of the physiological characteristic of the subject; and determining whether the received measured value is abnormal by comparing it to the at least one personalized abnormality criterion, wherein the received measured value is determined to be abnormal if it meets the at least one personalized abnormality criterion.

Abstract: A system for managing provided services is disclosed. The system receiving information regarding measureable events, determining a distribution pattern of the measureable events, determining an identity of a user based on the distribution pattern and providing instruction to controllable devices to alter surrounding conditions based at least on the identity of the user. In another aspect of the invention, the controllable devices may represent a second set of sensors that are used to collect data of a second type. The information collected from the second set of sensors may be used to determine a health status of a user.

Abstract: There is provided a method for estimating the volume of fluid in part of the body of a subject, the method comprising obtaining a measurement of the circumference, c, of the part of the body of the subject; obtaining a measurement of the impedance of the part of the body of the subject using electrodes attached across the part of the body of the subject; and estimating the volume of fluid in the part of the body of the subject from the measurement of impedance and the measurement of the circumference c. An apparatus comprising a control unit configured to perform the method is also provided.

Abstract: A device and method for bioimpedance spectrography is corrected for breathing artefacts. A breathing signal is used in conjunction with the impedance signal to adjust for the time within the respiratory cycle at which the measurements are made. The correction allows the device to characterize tissue parameters accurately with fewer measurement points.