Abstract: A computer distinguishes relationships among concepts of conveyance contained within delivered content. The computer receives several of concepts of conveyance and determines a first visual identification indicia for a first of the concepts, with the first visual identification indicia being characterized by a first combination of appearance style elements selected from a group of visual attribute categories. The appearance style elements have sufficient visual contrast relative to one another to represent distinguishable relationships among individual concepts of conveyance, pairs of concepts of conveyance and multiple concepts of conveyance that are overlapping. The computer iteratively determines a visual identification indicia for each concepts of conveyance. The visual identification indicia are characterized by a unique corresponding combination of appearance style elements selected from the visual attribute categories.

Abstract: A computer distinguishes relationships among concepts of conveyance contained within delivered content. The computer receives several of concepts of conveyance and determines a first visual identification indicia for a first of the concepts, with the first visual identification indicia being characterized by a first combination of appearance style elements selected from a group of visual attribute categories. The appearance style elements have sufficient visual contrast relative to one another to represent distinguishable relationships among individual concepts of conveyance, pairs of concepts of conveyance and multiple concepts of conveyance that are overlapping. The computer iteratively determines a visual identification indicia for each concepts of conveyance. The visual identification indicia are characterized by a unique corresponding combination of appearance style elements selected from the visual attribute categories.

Abstract: A computer system visualizes medical information for a patient. Natural language processing techniques are applied to identify medical concepts within unstructured text of medical information. Values for the identified medical concepts are derived from combinations of values within the medical information. A visualization is generated for a selected derived value, wherein the visualization includes a plurality of interconnected nodes each associated with a corresponding information source utilized for determining the selected derived value, and wherein paths of the interconnected nodes in the visualization indicate the corresponding information sources utilized to produce the selected derived value. Information of a selected node of the visualization is updated based on user verification of the information of the selected node. The visualization is modified based on the updated information.

Abstract: A computer system visualizes medical information for a patient. Natural language processing techniques are applied to identify medical concepts within unstructured text of medical information. Values for the identified medical concepts are derived from combinations of values within the medical information. A visualization is generated for a selected derived value, wherein the visualization includes a plurality of interconnected nodes each associated with a corresponding information source utilized for determining the selected derived value, and wherein paths of the interconnected nodes in the visualization indicate the corresponding information sources utilized to produce the selected derived value. Information of a selected node of the visualization is updated based on user verification of the information of the selected node. The visualization is modified based on the updated information.