Abstract: Systems and methods for medical data aggregation, transformation, and presentation are provided. In one example, a method comprises sets of attributes and supplementary attributes are selectively presented as directly editable medical notes in an interface with enhanced functionality.

Abstract: Systems and methods for medical data aggregation, transformation, and presentation are provided. In one example, a method comprises sets of attributes and supplementary attributes are selectively presented as directly editable medical notes in an interface with enhanced functionality.

Abstract: Systems and methods for medical data aggregation, transformation, and presentation are provided. In one example, a method comprises accessing first and second patient data relating to first and second medical conditions. Attributes and supplementary attributes in a data structure are derived. Sets of attributes and supplementary attributes are selectively presented as directly-editable medical notes in a user interface having enhanced user functionality.

Abstract: Systems and methods for medical data aggregation, transformation, and presentation are provided. In one example, a method comprises accessing first and second patient data relating to first and second medical conditions. Attributes and supplementary attributes in a data structure are derived. Sets of attributes and supplementary attributes are selectively presented as directly-editable medical notes in a user interface having enhanced user functionality.

Abstract: A method and system that includes extracting event models from at least one personal planning source of a user, wherein a parameter of an event model includes event location; periodically receiving location information of at least one mobile device of the user; storing the location information in a location log; a pattern worker module maintaining user location patterns through the location log; generating a location prediction from the extracted event models and the user location patterns; a first content worker module checking if the location prediction meets a set of content requirements; if the set of content requirements is satisfied, initiating content retrieval from at least one service; and pushing the content to the mobile device.

Abstract: A method and system that includes extracting event models from at least one personal planning source of a user, wherein a parameter of an event model includes event location; periodically receiving location information of at least one mobile device of the user; storing the location information in a location log; a pattern worker module maintaining user location patterns through the location log; generating a location prediction from the extracted event models and the user location patterns; a first content worker module checking if the location prediction meets a set of content requirements; if the set of content requirements is satisfied, initiating content retrieval from at least one service; and pushing the content to the mobile device.

Abstract: A method and system that includes extracting event models from at least one personal planning source of a user, wherein a parameter of an event model includes event location; periodically receiving location information of at least one mobile device of the user; storing the location information in a location log; a pattern worker module maintaining user location patterns through the location log; generating a location prediction from the extracted event models and the user location patterns; a first content worker module checking if the location prediction meets a set of content requirements; if the set of content requirements is satisfied, initiating content retrieval from at least one service; and pushing the content to the mobile device.