Abstract: The described implementations relate to expressing terminologies in a hierarchical form. One implementation can receive a terminology that can include concept-code pairs. For example, each of the concept-code pairs can include a concept and a code that is assigned to the concept by the terminology. The implementation can map the concepts to levels of a hierarchical ontology, and associate some of the concepts across different levels of the hierarchical ontology. The implementation can also provide programmatic access to the concept-code pairs of the terminology via the hierarchical ontology.

Abstract: An information management system (IMS) is described herein that provides supplemental information to a user who is interacting with an application module. In one implementation, the IMS includes a collection system, an information extraction module, and a notification system. The collection system provides collected information from one or more information sources. The information extraction module extracts application information from the application module, even though the application module may lack a native interface for providing the application information. The analysis engine determines supplemental information to present to the user based on the collected information and the application information. And the notification information provides notification information which alerts the user to the existence of the supplemental information. In one scenario, the IMS can be applied in a healthcare-related domain.

Abstract: The described implementations relate to expressing terminologies in a hierarchical form. One implementation can receive a terminology that can include concept-code pairs. For example, each of the concept-code pairs can include a concept and a code that is assigned to the concept by the terminology. The implementation can map the concepts to levels of a hierarchical ontology, and associate some of the concepts across different levels of the hierarchical ontology. The implementation can also provide programmatic access to the concept-code pairs of the terminology via the hierarchical ontology.

Abstract: The description relates to patient identification and consent. One example can determine that a patient possessing a mobile computing device is at a location associated with a health care provider. This example can request consent from the patient via the mobile computing device for the health care provider to access the patient's health care records.

Abstract: An information management system is described herein which maintains collected information that pertains to users, received from one or more data sources. The information management system also maintains a store of consent information. The consent information describes, for each user, at least one permission rule (established by the user) which enables at least one data consumer to receive at least part of the collected information for that user. Upon the occurrence of a triggering event, an information distribution module operates by distributing identified part(s) of the collected information to appropriate data consumer(s), as governed by the consent information. In this manner of operation, the consent information functions as global metadata which, from a centralized platform, governs the dissemination of the collected information to any data consumer in an application-agnostic manner.

Abstract: A data publication system is described herein that provides a data replication model that combines benefits of data distribution from non-relational paradigms with the benefits of deeply integrating datasets via relational database paradigms. The system allows the creation of programmatic functions for extracting subsets of data stored in any source model, extracting data from a variety of sources, and republishing that data in a target model built upon the aggregated source data. The target model can provide standard relational paradigms across a set of data from multiple sources, whether or not the original sources were relational in nature. The system applies known paradigms for data replication based upon programmatic functions as a means for data replication and integrates this method for data duplication and replication based upon arbitrary functions with the power of relational database systems to process associated entities of data in highly efficient ways.

Abstract: An information management system (IMS) is described herein that provides supplemental information to a user who is interacting with an application module. In one implementation, the IMS includes a collection system, an information extraction module, and a notification system. The collection system provides collected information from one or more information sources. The information extraction module extracts application information from the application module, even though the application module may lack a native interface for providing the application information. The analysis engine determines supplemental information to present to the user based on the collected information and the application information. And the notification information provides notification information which alerts the user to the existence of the supplemental information. In one scenario, the IMS can be applied in a healthcare-related domain.