Abstract: A system may include a data store and a processor circuit in communication with the data store and a user input device. The data store may include clinical records associated with patients. For each of the patients, the clinical records may include data corresponding to a set of inputs associated with a medical condition of the patient and data corresponding to a set of outcomes associated with the medical condition of the patient. The processor circuit may be configured to obtain the clinical records via the data store and to receive, via the user input device, a selection of a driving outcome from among the set of outcomes. The processor circuit may be configured to determine a first ranking of the set of inputs based on the driving outcome and a classification model and to provide, at a display, a screen display including a graphical representation of the set of inputs automatically arranged based on the first ranking.

Abstract: The present system is configured to display distributions of predicted health outcome information for patient populations in geographical areas. The system is configured to obtain demographic, social (e.g., including environmental), and prior health outcome information for a patient population in a geographical area. The system is configured to train a prediction model based on the demographic, social, and prior health outcome information, which outputs weighted features of the demographic and social information that are predictive of health outcomes for the patient population. The system is configured to cause display of a distribution of predicted health outcome information for the patient population in the geographical area based on the weighted features.

Abstract: A computer implemented method for generating a graphical representation of a predicted effectiveness of a first treatment. The method comprises using (102) a clinical model to determine at least one indicator related to an outcome of a first treatment. An effectiveness of the first treatment is then predicted (104) based on the at least one indicator. The predicted effectiveness of the first treatment is then displayed (106) to a user, using a first graphical representation.

Abstract: Presented are concepts for monitoring activities of daily living, ADLs, of a person within an environment. Once such concept provides a graphical interface for an ADL monitoring system, wherein the graphical interface is adapted to display a graphical element representative of an ADL detected by the ADL monitoring system, and wherein the shape, size, position, orientation, pulsating and/or color of at least a portion of the graphical element is based on one or more attributes of the detected ADL.

Abstract: The present system is configured to display distributions of predicted health outcome information for patient populations in geographical areas. The system is configured to obtain demographic, social (e.g., including environmental), and prior health outcome information for a patient population in a geographical area. The system is configured to train a prediction model based on the demographic, social, and prior health outcome information, which outputs weighted features of the demographic and social information that are predictive of health outcomes for the patient population. The system is configured to cause display of a distribution of predicted health outcome information for the patient population in the geographical area based on the weighted features.

Abstract: A method and an apparatus for accurately predicting and modeling patient events, such as avoidable admissions, within a healthcare network are disclosed herein. The present disclosure provides systems and methods of predicting and modeling patient events with the use of a constantly updated data set, a sliding windows format, and a random survival forest model. Further, the present disclosure provides methods and systems for accurately predicting and modeling patient events and patient flows amongst various facilities within, and outside of, the healthcare network.

Abstract: This invention relates to monitoring activities of daily living (ADLs) of a person and more particularly to displaying, in a GUI, a graphical element that is representative of an ADL detected by an ADL monitoring system. The shape, size, position, orientation, pulsating or colour of at least a portion of the graphical element is based on one or more attributes of the detected ADL.

Abstract: Presented are concepts for monitoring activities of daily living, ADLs, of a person within an environment. Once such concept provides a graphical interface for an ADL monitoring system, wherein the graphical interface is adapted to display a graphical element representative of an ADL detected by the ADL monitoring system, and wherein the shape, size, position, orientation, pulsating and/or colour of at least a portion of the graphical element is based on one or more attributes of the detected ADL.