Abstract: Aspects of the present disclosure describe systems and corresponding methods for providing interactive experiences via an engagement system to spectators currently attending or otherwise participating in an event being conducted at a venue. In various aspects, the engagement system may connect the event attendees and/or spectators in an integrated manner by allowing such users to engage in interactive experiences, such as socially connecting to other participants, executing consumer transactions, and/or engaging in various other interactive games, promotions, and/or activities corresponding to the event being conducted at the venue.

Abstract: A system and method is provided that enables users to selectively predict one or more outcomes expected to occur during an upcoming event, such as a sporting event. A graphical user interface enables users to specify data for individual outcomes predicted to occur during the event. Rewards and/or an amount of the rewards are determined for predictions based on a comparison of actual outcomes with the predicted outcomes and/or one or more business rules. Users obtain rewards for accurate outcome predictions in near-real time during live events and can view reward amounts and/or actual game statistics during the live event.

Abstract: Systems and methods for automatically providing event tickets are provided herein. For example, a device, such as a processor, may execute an automatic ticketing application that associates and/or otherwise provides one or more tickets for an event to a validated membership account. Data associated with a particular membership account and a particular ticketed event is acquired, stored, and/or processed. Subsequently, one or more tickets for the particular ticketed event are automatically associated with a membership account.

Abstract: Methods, computer storage media, systems and user interfaces for generating physical activity indicators are provided. The user interface includes an activation button that prompts physical activity data associated with a user to be retrieved from a user device on which the physical activity data is stored. Information such as the current amount of physical activity logged by the user for a particular day, including the number of steps taken by a user for the day and/or the amount of minutes of physical activity the user has logged for the day is presented to the user via various aspects of the user interface. Users may compare their physical activity performance to other users of the system. Users may also challenge other users to participate in physical activity contests.

Abstract: A system and method are provided for managing patient care based on data received from a remote monitoring system. The system includes a data monitor for automatically evaluating the data received from the remote monitoring system and a scheduling module for receiving a data evaluation from the data monitor. The scheduling module includes tools for adjusting a patient schedule. Schedule adjustment actions can be automatically triggered by the received data evaluation. Typically, the data monitor will compare the received data with patient medical records to evaluate the received data received from the remote monitoring system to determine if the received data meets pre-set expectations. If the received data does not meet pre-set expectations, a scheduling action will be triggered. The system will automatically notify the patient of scheduling actions.

Abstract: A system and method are provided for managing patient care based on data received from a remote monitoring system. The system includes a data monitor for automatically evaluating the data received from the remote monitoring system and a scheduling module for receiving a data evaluation from the data monitor. The scheduling module includes tools for adjusting a patient schedule. Schedule adjustment actions can be automatically triggered by the received data evaluation. Typically, the data monitor will compare the received data with patient medical records to evaluate the received data received from the remote monitoring system to determine if the received data meets pre-set expectations. If the received data does not meet pre-set expectations, a scheduling action will be triggered. The system will automatically notify the patient of scheduling actions.