Abstract: A computer server coupled to a computer network comprises a network adaptor configured to communicate at least with social media information sources and other data sources over a computer network; a processor coupled to the network adaptor and memory coupled to the processor. The memory stores a program configured to cause the processor to receive social interaction information from at least one remote computing device over the computer network; rank the received social interaction information according to at least one metric that is selectable by a user of a computing device coupled to the computer server over the computer network; and send the ranked social interaction information to the computing device to be rendered on a display thereof such that higher-ranked social interaction information is displayed closer to a center of concentric shapes rendered on the display of the computing device than is comparatively lower ranked social interaction information.

Abstract: An apparatus for creating a graphical representation of personalized healthcare information is provided. A data processing apparatus that has one or more processors is disclosed. Query component logic receives a request comprising patient identification information. Query execution logic, based on the patient information determines a first metric and one or more intervention metrics. The first metric represents a current health related metric for the patient, while the intervention metrics represent a predicted health related metric, assuming that the patient conforms to the intervention. A graphical representation of the two metrics is created.

Abstract: An apparatus for creating a graphical representation of personalized healthcare information is provided. A data processing apparatus that has one or more processors is disclosed. Query component logic receives a request comprising patient identification information. Query execution logic, based on the patient information determines a first metric and one or more intervention metrics. The first metric represents a current health related metric for the patient, while the intervention metrics represent a predicted health related metric, assuming that the patient conforms to the intervention. A graphical representation of the two metrics is created.