Abstract: Various implementations disclosed herein include devices, systems, and methods for tailoring information regarding a pharmaceutical article to user types. In various implementations, a device includes a non-transitory memory and a processor coupled with the non-transitory memory. In some implementations, a method includes obtaining a request to synthesize a plurality of pharmaceutical content items for respective user types. In some implementations, the plurality of pharmaceutical content items provides information regarding a pharmaceutical article. In some implementations, the method includes determining, for the respective user types, corresponding expected engagement values indicative of expected engagement with the subject. In some implementations, the method includes determining, based on the corresponding expected engagement values, respective content templates for the plurality of pharmaceutical content items.

Abstract: A device receives a request to display a learning module. The device receives sensor values from a set of one or more sensor devices attached to a patient. The device displays a set of survey questions. The device receives user-specified responses to the set of survey questions. The device selects a first learning module from a plurality of learning modules based on the sensor values and the user-specified responses to the set of survey questions. The device displays the first learning module on the display in response to receiving the request to displaying the learning module.

Abstract: Various implementations disclosed herein include devices, systems, and methods for monitoring engagement associated with pharmaceutical articles. In various implementations, a device includes a non-transitory memory and a processor coupled with the non-transitory memory. In some implementations, a method includes obtaining engagement data indicating engagement associated with a pharmaceutical article. In some implementations, the method includes identifying a plurality of topics associated with the pharmaceutical article. In some implementations, the method includes determining respective comprehension scores for the plurality of topics based on the engagement data. In some implementations, the method includes recommending a set of one or more media content items related to a subset of the plurality of topics based on the respective comprehension scores for the plurality of topics.

Abstract: In some implementations, a method includes obtaining a pharmaceutical content item that provides information regarding a pharmaceutical article that is associated with a plurality of pharmaceutical topics. In some implementations, the pharmaceutical content item includes a plurality of portions including a first portion and a second portion. In some implementations, the method includes determining that the first portion provides information regarding a first subset of the plurality of pharmaceutical topics and that the second portion provides information regarding a second subset of the plurality of pharmaceutical topics. In some implementations, the method includes generating a first pharmaceutical label for the first portion based on the first subset of the plurality of pharmaceutical topics and a second pharmaceutical label for the second portion based on the second subset of the plurality of pharmaceutical topics.

Abstract: In some implementations, a method is performed by a device including a non-transitory memory and one or more processors coupled with the non-transitory memory. In some implementations, the method includes obtaining, by the device, engagement data that indicates engagement of a plurality of devices with one or more content items of a plurality of content items. In some implementations, the method includes detecting, by the device, a first event associated with a first time that occurs after a current time. In some implementations, the method includes identifying, by the device, a first content item from the plurality of content items based on the engagement data. In some implementations, the first content item satisfies an engagement criterion associated with the first event. In some implementations, the method includes rendering, by the device, the first content item at a second time that occurs prior to the first time.

Abstract: Various implementations disclosed herein include devices, systems, and methods for providing domain-specific responses. In various implementations, a device includes a non-transitory memory and a processor coupled with the non-transitory memory. In some implementations, a method includes determining a user interest value indicative of a pharmaceutical article that the user is interested in learning about. In some implementations, the pharmaceutical article is associated with a set of media content items that provide information regarding the pharmaceutical article. In some implementations, the method includes setting a configuration parameter of a virtual agent to a configuration value that is based on the pharmaceutical article indicated by the user interest value.

Abstract: Various implementations disclosed herein include devices, systems, and methods for indicating whether a conversation regarding a subject satisfies a boundary condition associated with the subject. In various implementations, a device includes a display, a processor and a non-transitory memory. In some implementations, the method includes detecting a conversation in which a person is conveying information regarding a subject. In some implementations, the method includes determining whether the information satisfies a boundary condition associated with the subject. In some implementations, the boundary condition is defined by a set of one or more content items related to the subject. In some implementations, the method includes displaying an indicator that indicates whether or not the information being conveyed by the person satisfies the boundary condition associated with the subject.

Abstract: A server that receives a request for an ordered list of data items, the request comprises a user identifier (ID) and contextual data parameters that indicate a context of a mobile computing device. The server queries a data store with the user ID and receives record IDs for data item records that are associated with the user ID. For each data item record associated with the user ID, the server determines the category associated with the corresponding data item. The server determines category scores for the categories based on the scoring model and the contextual data parameters. The server generates the ordered list of data items based on the category scores, the ordered list comprises the information related to each data item and the category score for the category associated with each data item. The server transmits the ordered list of data items via the network communication device.

Abstract: In some implementations, a method is performed by a device including a non-transitory memory and one or more processors coupled with the non-transitory memory. In some implementations, the method includes obtaining, by the device, engagement data that indicates engagement of a plurality of devices with one or more content items of a plurality of content items. In some implementations, the method includes detecting, by the device, a first event associated with a first time that occurs after a current time. In some implementations, the method includes identifying, by the device, a first content item from the plurality of content items based on the engagement data. In some implementations, the first content item satisfies an engagement criterion associated with the first event. In some implementations, the method includes rendering, by the device, the first content item at a second time that occurs prior to the first time.

Abstract: A server that receives a request for an ordered list of data items, the request comprises a user identifier (ID) and contextual data parameters that indicate a context of a mobile computing device. The server queries a data store with the user ID and receives record IDs for data item records that are associated with the user ID. For each data item record associated with the user ID, the server determines the category associated with the corresponding data item. The server determines category scores for the categories based on the scoring model and the contextual data parameters. The server generates the ordered list of data items based on the category scores, the ordered list comprises the information related to each data item and the category score for the category associated with each data item. The server transmits the ordered list of data items via the network communication device.