Abstract: Systems and methods are disclosed for managing predictive bottleneck models. The system receives, from a user device, bottleneck data indicating a bottleneck within a facility. The system compiles, based on the received indication, contextual data associated with the bottleneck. The system analyzes the bottleneck data and the contextual data conjunctively and determines a relationship between the bottleneck data and the contextual data. The system updates a predictive bottleneck model based on the determined relationship.

Abstract: The present disclosure relates to systems and methods for implementing secure database requests in a role-based application. In one example, the system may include at least one memory storing instructions and at least one processor configured to execute the instructions. The instructions may include instructions to aggregate, within a database, patient-specific data and bed-specific data into aggregated data comprising one or more statistics; receive a request to access the aggregated data; extract the aggregated data from the database based upon the request; and generate a graphical user interface for a user from the extracted aggregated data.

Abstract: Systems and methods are disclosed for managing predictive bottleneck models. In one embodiment, a computerized system may comprise a storage medium storing instructions, and a processor in communication with a communications network. The processor may be configured to receive, from a user device, bottleneck data indicating a bottleneck within a facility; compile, based on the received indication, contextual data associated with the bottleneck; analyze the bottleneck data and the contextual data conjunctively; determine a relationship between the bottleneck data and the contextual data; and update a predictive bottleneck model based on the determined relationship.

Abstract: The present disclosure relates to systems and methods for implementing secure database requests in a role-based application. In one example, the system may include at least one memory storing instructions and at least one processor configured to execute the instructions. The instructions may include instructions to receive, from a user device, a request to access data from a relational database; based on the request, extract the data from the relational database; perform one or more join commands on the data to generate an object in an object-oriented programming language having the joined data; convert the object to a data serialized format configured for use in a graphical user interface generator; and transmit the data serialized format to the user device.

Abstract: The present disclosure relates to systems and methods for implementing secure database requests in a role-based application. In one example, the system may include at least one memory storing instructions and at least one processor configured to execute the instructions. The instructions may include instructions to receive, from a user device, a request to access data from a relational database; based on the request, extract the data from the relational database; perform one or more join commands on the data to generate an object in an object-oriented programming language having the joined data; convert the object to a data serialized format configured for use in a graphical user interface generator; and transmit the data serialized format to the user device.