Abstract: A computer-implemented method includes providing a user interface on an internet-protocol (IP) connected mobile device, the user interface configured to receive a user input corresponding to one or more data privacy parameters for geo-location data, and controlling a transferring of geo-location data to and from each of a plurality of mobile applications on the mobile device based on the user input. A change in one or more of the data privacy parameters can change how geo-location data is provided to each of the plurality of applications and can affect location data accuracy, location data reporting frequency, geo-functions, and more. The user interface can be configured to allow a user to view, manage, and delete a personal location history. Furthermore, one or more profiles can be associated with one or more of the plurality of mobile applications, where each of the one or more profiles is assigned individual data privacy parameters.

Abstract: A computer-implemented method includes providing a user interface on an internet-protocol (IP) connected mobile device, the user interface configured to receive a user input corresponding to one or more data privacy parameters for geo-location data, and controlling a transferring of geo-location data to and from each of a plurality of mobile applications on the mobile device based on the user input. A change in one or more of the data privacy parameters can change how geo-location data is provided to each of the plurality of applications and can affect location data accuracy, location data reporting frequency, geo-functions, and more. The user interface can be configured to allow a user to view, manage, and delete a personal location history. Furthermore, one or more profiles can be associated with one or more of the plurality of mobile applications, where each of the one or more profiles is assigned individual data privacy parameters.

Abstract: The information management system disclosed enables caregivers to make better decisions by using aggregated data. The system enables the integration, validation and analysis of genetic, phenotypic and clinical data from multiple subjects. A standardized data model stores a range of patient data in standardized data classes comprising patient profile, genetic, symptomatic, treatment and diagnostic information. Data is converted into standardized data classes using a data parser specifically tailored to the source system. Relationships exist between standardized data classes, based on expert rules and statistical models, and are used to validate new data and predict phenotypic outcomes. The prediction may comprise a clinical outcome in response to a proposed intervention. The statistical models and methods for training those models may be input according to a standardized template.

Abstract: The information management system disclosed enables caregivers to make better decisions, faster, using aggregated genetic and phenotypic data. The system enables the integration, validation and analysis of genetic, phenotypic and clinical data from multiple subjects who may be at distributed facilities. A standardized data model stores a range of patient data in standardized data classes that encompass patient profile information, patient symptomatic information, patient treatment information, and patient diagnostic information including genetic information. Data from other systems is converted into the format of the standardized data classes using a data parser, or cartridge, specifically tailored to the source system. Relationships exist between standardized data classes that are based on expert rules and statistical models. The relationships are used both to validate new data, and to predict phenotypic outcomes based on available data.