Abstract: This disclosure describes a system that standardizes collection of home health observations during a home visit by a caregiver. The system causes display of a graphical user interface to the caregiver. The graphical user interface comprises observation fields that receive home health observations about conditions in the home, and a display field that displays a virtual representation of the home conditions. The system is configured to store the home health observations and the virtual representation in a subject profile for the subject that is part of a database of home health observations and virtual representations for a plurality of subjects, compare the home health observations and virtual representation to previous home health observations and previous virtual representations for similar subjects, determine suggested questions for the caregiver to ask the subject, update a care plan for the subject, and determine health recommendations for the subject.

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: The present disclosure pertains to a system for providing model-based predictions of actively managed patients. In some embodiments, the system (i) obtains a collection of information related to a payer-attributed population of patients associated with a provider; (ii) extracts, from the collection of information, health insurance claims data, clinical data, process data, and patient encounter data; (iii) provides the health insurance claims data, clinical data, process data, and patient encounter data to a machine learning model to train the machine learning model; (iv) causes the machine learning model to predict familiarity values associated with patients of the population of patients; and (v) generates a provider assessment based on the familiarity values and the collection of information.

Abstract: According to an aspect, there is provided a computer-implemented method of presenting patient information, the method comprising identifying a first pathway associated with a patient of interest, the first pathway comprising one or more nodes; identifying at least one patient parameter type that is required by a node in the identified first pathway; querying a patient record for the patient of interest to determine if the patient record includes a patient parameter value for the identified at least one patient parameter type; if the patient record includes a patient parameter value for an identified patient parameter type, retrieving the patient parameter value from the patient record and rendering a display including the retrieved patient parameter value; and if the patient record does not include a patient parameter value for an identified patient parameter type, rendering a display including an indication of the identified patient parameter type.

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: Methods and systems for the use of an artificial neural network to determine the medical and psycho-social needs of patients. Namely, the artificial neural network is trained to predict successful patient care programs based on historical medical and socials outcomes for a plurality of patients, wherein the historical medical and social outcomes are represented in respective vector arrays. For example, in order to prevent bias from being introduced, the artificial neural network is trained on separate vector arrays for medical and social outcomes.

Abstract: A method for managing healthcare information includes selecting a type of outcome under a payer contract with a healthcare organization (HCO), generating a set of similar populations based on information including HCO data, calculating outcomes for the similar populations in the set based on terms and conditions of the payer contract, calculating performance measures for the calculated outcomes, and outputting the performance measure with the calculated outcomes to identify a best outcome under the payer contract for one or more parameters. The outcomes may be calculated based on a simulation algorithm.

Abstract: There is provided a method for use in monitoring a physiological characteristic of a subject, the method comprising receiving a value of the physiological characteristic of the subject; determining whether the received physiological characteristic value is normal using a range of normal variability of the physiological characteristic for the subject calculated using a set of previous values of the physiological characteristic for the subject; and in the event that the received physiological characteristic value is determined to be normal, updating the range of normal variability using the received physiological characteristic value.

Abstract: According to an aspect, there is provided a computer-implemented method of scheduling a task for a medical professional. The method has steps of obtaining patient characteristics associated with a patient and obtaining test subject characteristics associated with a plurality of test subjects. A task to be performed in relation to a patient is then identified based on the patient characteristics, the test subject characteristics and one or more tasks performed on the test subjects. The method then comprises scheduling, using a processor, the identified task for the medical professional. A computer program product is also disclosed.

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: This disclosure describes a system that standardizes collection of home health observations during a home visit by a caregiver. The system causes display of a graphical user interface to the caregiver. The graphical user interface comprises observation fields that receive home health observations about conditions in the home, and a display field that displays a virtual representation of the home conditions. The system is configured to store the home health observations and the virtual representation in a subject profile for the subject that is part of a database of home health observations and virtual representations for a plurality of subjects, compare the home health observations and virtual representation to previous home health observations and previous virtual representations for similar subjects, determine suggested questions for the caregiver to ask the subject, update a care plan for the subject, and determine health recommendations for the subject.

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: 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 disclosure pertains to a method and system configured for providing care resources to a subject. The system comprises at least one processor; memory and a communication component operatively connected to the at least one processor. The at least one processor is configured to receive information associated with a subject from a user device, determine a category of care to be provided to the subject based on the received information, identify one or more care resources that provide the category of care based on the received information, estimate respective waiting times at the one or more care resources, deliver information associated with the one or more care resources and the respective waiting times to the user device, receiving a selection of the one or more care resources from the user device, and provide instructions to the user device for the subject to arrive at the selected care resource.

Abstract: Various embodiments relate to a system and method for monitoring the heart rate of a user. In particular various embodiments relate to a system comprising an input unit, a time measurement unit, a heart rate sensor, a processing unit and an output unit. The processing unit determines at least one of three different time periods, the first below, the second inside and the third above a single heart rate range defined by the user.

Abstract: To create a patient care plan for a target patient, inputs (66, 68, 70, 72) related to one or more social services (54) and one or more medical services (52) that are each associated with target data are received. One or more social and medical services (52, 54) are selected based on a target patient assessment. A net care benefit is calculated for each of the selected services (52, 54). An outcome patient care plan (106) is created from outcomes (92) including the selected services (52, 54) with a highest net care benefit.

Abstract: A healthcare support system for determining care for a patient and a corresponding healthcare support method are presented. The healthcare support system comprises a processor and a computer-readable storage medium, wherein the computer-readable storage medium contains instructions for execution by the processor, wherein the instructions cause the processor to perform the steps of obtaining patient data, assessing a clinical need of the patient, proposing a clinical outcome, and determining a service to be provided to the patient for said clinical need and said proposed clinical outcome based on a service-outcome-need model. Further, the present invention relates to a computer-readable non-transitory storage medium and a computer program.

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: There is provided a method for use in monitoring a physiological characteristic of a subject, the method comprising receiving a value of the physiological characteristic of the subject; determining whether the received physiological characteristic value is normal using a range of normal variability of the physiological characteristic for the subject calculated using a set of previous values of the physiological characteristic for the subject; and in the event that the received physiological characteristic value is determined to be normal, updating the range of normal variability using the received physiological characteristic value.

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.