Abstract: Systems and methods providing compatibility between legacy electronic record systems are disclosed. Appliances are in two-way electronic communication with legacy electronic records systems and a gateway server which is in electronic communication with one of the legacy electronic records systems. Electronic medical records data is converted between legacy formats for the legacy systems and a common format for transmission between the appliances and the gateway server.

Abstract: An on-demand learning system provides an enhanced leaning environment capable of delivering relevant content on virtually any topic to specific learners. The learning system implements technical features that facilitate curation and subject matter validation of many different types of content. The technical architecture of the learning system also supports intelligent matching of learners to subject matter areas, creation of specific subject matter boards, and resilient maintenance of the boards.

Abstract: A device may communicate with a first server to obtain first information regarding a particular entity. The device may communicate with a second server to obtain second information regarding a plurality of entities. The device may process the first information and the second information to generate one or more recommendations for the particular entity. The one or more recommendations including a recommendation may relate to the particular entity altering an attribute of the particular entity to match an attribute of one or more of the plurality of entities. The attribute may be associated with a threshold level of performance for the one or more of the plurality of entities. The device may generate a user interface including the one or more recommendations. The device may communicate with a client device to cause the user interface to be provided for display.

Abstract: A device may communicate with a server to obtain information regarding a group of entities. The device may generate a social intervention recommendation relating to a particular entity or the group of entities based on the information relating to the group of entities. The device may cause a social intervention recommendation to be implemented for the first client device. The device may cause, after causing the social intervention recommendation to be implemented for the first client device, at least one of: a set of communications to be directed from the first client device to the second client device via a set of social channels, or information associated with the gamification module to be updated for display via the first client device.

Abstract: A device may receive information regarding one or more client devices being utilized at a connected learning center. The device may receive information regarding one or more training courses, one or more users of the one or more client devices, and the one or more users. The user interface may provide information regarding a particular training course, of the one or more training courses, that a particular user is attending. The particular user may be determined to be attending the particular training course based on the information regarding the one or more client devices, obtained by a particular sensor of a plurality of sensors, indicating that a particular client device is located within a classroom of the connected learning center in which the particular training course is being provided. The device may provide the user interface for display.

Abstract: An on-demand learning system provides an enhanced leaning environment capable of delivering relevant content on virtually any topic to specific learners. The learning system implements technical features that facilitate curation and subject matter validation of many different types of content. The technical architecture of the learning system also supports intelligent matching of learners to subject matter areas, creation of specific subject matter boards, and resilient maintenance of the boards.

Abstract: An on-demand learning system provides an enhanced leaning environment capable of delivering relevant content on virtually any topic to specific learners. The learning system implements technical features that facilitate curation and subject matter validation of many different types of content. The technical architecture of the learning system also supports intelligent matching of learners to subject matter areas, creation of specific subject matter boards, and resilient maintenance of the boards.

Abstract: A device may communicate with a first server to obtain first information regarding a plurality of groups of entities. The device may process the first information to generate a data model relating to attributes of the plurality of groups of entities. The device may communicate with a second server to obtain second information regarding a particular group of entities. The device may process the second information using the data model to identify a set of recommendations relating to the particular group of entities. The device may select a particular recommendation, of the set of recommendations, based on a corresponding score of the set of scores. The device may generate a user interface including the particular recommendation based on selecting the particular recommendation. The device may communicate with a plurality of client devices to cause the particular recommendation to be provided for display.

Abstract: An on-demand learning system provides an enhanced leaning environment capable of delivering relevant content on virtually any topic to specific learners. The learning system implements technical features that facilitate curation and subject matter validation of many different types of content. The technical architecture of the learning system also supports intelligent matching of learners to subject matter areas, creation of specific subject matter boards, and resilient maintenance of the boards.