Abstract: A pharmaceutical composition comprising a cannabinoid; and a polyethylene glycol (PEG) ester.

Abstract: Among other things, a first video is captured of at least the eyes of a first person who is looking along a video capture axis. A second video of at least the eyes of a second person is presented, along a display axis. The video capture axis and the display axis are aligned along a common axis so that the first person can view the second video of at least the eyes of the second person along the common axis when the first video of the eyes of the first person is being captured along the common axis. Instructions are executed to maintain an eye contact video interaction session between the first person and the second person using the captured video and the presented video.

Abstract: Various systems and methods are provided that aggregate, analyze, and display health data for users. The system aggregates data stored in various databases. For example, the system retrieves data from these databases, maps the data to a set of common terms based on an ontology, and displays such information to an entity accessing the system. Rather than converting the data stored in the databases into a standardized format, the system includes a set of ontologies that provide a correlation between a first set of fields and a second set of fields. The system determines a correlation between a first field in the first set of fields and a second field in the second set of fields using the ontology, stores data retrieved from the database in a second database in association with the second field, and displays the data associated with the first field under the second field.

Abstract: Among other things, a first video is captured of at least the eyes of a first person who is looking along a video capture axis. A second video of at least the eyes of a second person is presented, along a display axis. The video capture axis and the display axis are aligned along a common axis so that the first person can view the second video of at least the eyes of the second person along the common axis when the first video of the eyes of the first person is being captured along the common axis. Instructions are executed to maintain an eye contact video interaction session between the first person and the second person using the captured video and the presented video.

Abstract: Various systems and methods are provided that aggregate, analyze, and display health data for users. The system aggregates data stored in various databases. For example, the system retrieves data from these databases, maps the data to a set of common terms based on an ontology, and displays such information to an entity accessing the system. Rather than converting the data stored in the databases into a standardized format, the system includes a set of ontologies that provide a correlation between a first set of fields and a second set of fields. The system determines a correlation between a first field in the first set of fields and a second field in the second set of fields using the ontology, stores data retrieved from the database in a second database in association with the second field, and displays the data associated with the first field under the second field.

Abstract: Among other things, a first video is captured of at least the eyes of a first person who is looking along a video capture axis. A second video of at least the eyes of a second person is presented, along a display axis. The video capture axis and the display axis are aligned along a common axis so that the first person can view the second video of at least the eyes of the second person along the common axis when the first video of the eyes of the first person is being captured along the common axis. Instructions are executed to maintain an eye contact video interaction session between the first person and the second person using the captured video and the presented video.

Abstract: Computer-implemented systems and methods are provided for analyzing healthcare-related entity performance. In one implementation, a method is implemented with one or more processors and includes receiving a request that includes one or more filter selections and accessing a data structure including information that specifies a plurality of categories of healthcare-related interactions associated with multiple healthcare-related entities. The method also includes identifying a set of categories from the plurality of categories based on the one or more filter selections and processing the information of the identified categories to provide performance information of one or more entities of the multiple healthcare-related entities in accordance with the one or more filter selections. The method further includes generating a user interface that includes the performance information indicating a performance of the one or more entities.

Abstract: A system comprising a computer-readable storage medium storing at least one program and a method for identifying care management program members to target for therapeutic intervention are presented. In example embodiments, the method includes identifying a set of candidate member data records from a plurality of member data records, and using data models to determine a risk score, a benefit score, and a participation score associated with each candidate member data record. The benefit score provides a measure of a propensity of the corresponding member to benefit from the therapeutic intervention program, and the participation score provides a measure of a propensity of the corresponding member to participate in the therapeutic intervention program. The method further includes identifying target members for the therapeutic intervention program from the set of candidate member data records based on respective benefit scores and participation scores.

Abstract: Computer-implemented systems and methods are provided for analyzing healthcare-related entity performance. In one implementation, a method is implemented with one or more processors and includes receiving a request that includes one or more filter selections and accessing a data structure including information that specifies a plurality of categories of healthcare-related interactions associated with multiple healthcare-related entities. The method also includes identifying a set of categories from the plurality of categories based on the one or more filter selections and processing the information of the identified categories to provide performance information of one or more entities of the multiple healthcare-related entities in accordance with the one or more filter selections. The method further includes generating a user interface that includes the performance information indicating a performance of the one or more entities.

Abstract: Computer-implemented systems and methods are provided for analyzing healthcare-related entity performance. In one implementation, a method is implemented with one or more processors and includes accessing a data structure including information that specifies healthcare-related interactions and identifying, from the data structure, a first set of interactions associated with a first healthcare-related entity. The method also includes identifying, from the data structure, a second set of interactions associated with one or more filter selections and processing the information of the identified first and second set of interactions to provide performance information of the first healthcare-related entity and one or more healthcare-related entities associated with the one or more filter selections.

Abstract: A system for, among other purposes, detecting health care fraud, comprises a data import component for importing health care data from data source(s) such health care providers, insurers, or pharmacies; data repositor(ies) in which the data import component creates health care objects such as provider objects that describe health care providers, patient objects that represent health care recipients, and health care event objects that describe one or more of: health care claims, prescriptions, medical procedures, or diagnoses; a correlation component that identifies correlations between the health care objects; a graph generator component that generates graphs of networks identified based at least on the correlations identified by the correlation component, the graphs comprising linked nodes that represent health care objects in the identified networks; and an interface generator that generates interfaces that display the graphs generated by the graph generator.