Abstract: The disclosed systems and methods generate links for candidate execution load/execution component pairings, each candidate pairing identifying one of the data packets corresponding with the execution loads and one of the data packets corresponding with the execution components. Ranks are generated for the candidate pairings, and candidate pairings are selected for potential linkage based on the ranks. If the data packet corresponding with an execution load of a candidate pairing is linkable to the data packet corresponding with an execution component of the candidate pairing, the data packet corresponding with the execution load is linked to the data packet corresponding with the execution component. If the data packet corresponding with the execution load of the candidate pairing is not linkable to the data packet corresponding with the execution component of the pairing, a next candidate pairing is selected.

Abstract: The present disclosure relates to techniques for receiving glucose data from a continuous glucose sensor and controlling the use and redistribution of that data so it is used in an intended manner. In one aspect, a method includes preparing data including glucose levels using a continuous glucose sensor unit; wirelessly transmitting the data relating to the glucose levels to a display device from the continuous glucose sensor unit; automatically forwarding the data relating to the glucose levels from the display device to a cloud computing architecture; and storing the data relating to the glucose levels in separate groups at the cloud computing architecture.

Abstract: Disclosed are systems and methods for providing automated or semi-automated technical support for patients using medical devices, such as continuous glucose monitoring systems. Disclosed embodiments of automated tech support system include collection and storage of copies of streams of medical device data on multiple servers, analysis and comparison of data streams, remote tech support initiation and usage of the automated tech support system for providing improved products and services by storing and analyzing historical tech support data.

Abstract: Systems and methods of allocating execution loads to execution components are disclosed. The systems and methods select one of the execution components and one of the execution loads based on selection criteria. The systems and methods then determine whether the selected execution load may be allocated to the selected execution component. If the selected execution load may be allocated to the selected execution component, the systems and methods allocate the execution load accordingly. If the selected execution load may not be allocated to the selected execution component, the systems and methods select another one of the execution components and another one of the execution loads for attempted allocation.

Abstract: Disclosed are systems and methods for providing automated or semi-automated technical support for patients using medical devices, such as continuous glucose monitoring systems. Disclosed embodiments of automated tech support system include collection and storage of copies of streams of medical device data on multiple servers, analysis and comparison of data streams, remote tech support initiation and usage of the automated tech support system for providing improved products and services by storing and analyzing historical tech support data.

Abstract: Systems and methods are provided relating to open loop decision-making for management of diabetes. People with diabetes face many problems in controlling their glucose because of the complex interactions between food, insulin, exercise, stress, activity, and other physiological and environmental conditions. Established principles of management of glucose sometimes are not adequate because there is a significant amount of variability in how different conditions impact different individuals and what actions might be effective for them. Accordingly, systems and methods according to present principles minimize the impact of the vagaries of diabetes on individuals, i.e., by looking for patterns and tendencies of an individual and customizing the management to that individual. Consequently, the same reduces the uncertainty that diabetes typically is associated with and improves quality of life.

Abstract: Systems and methods are provided relating to open loop decision-making for management of diabetes. People with diabetes face many problems in controlling their glucose because of the complex interactions between food, insulin, exercise, stress, activity, and other physiological and environmental conditions. Established principles of management of glucose sometimes are not adequate because there is a significant amount of variability in how different conditions impact different individuals and what actions might be effective for them. Accordingly, systems and methods according to present principles minimize the impact of the vagaries of diabetes on individuals, i.e., by looking for patterns and tendencies of an individual and customizing the management to that individual. Consequently, the same reduces the uncertainty that diabetes typically is associated with and improves quality of life.

Abstract: Systems and methods are provided relating to open loop decision-making for management of diabetes. People with diabetes face many problems in controlling their glucose because of the complex interactions between food, insulin, exercise, stress, activity, and other physiological and environmental conditions. Established principles of management of glucose sometimes are not adequate because there is a significant amount of variability in how different conditions impact different individuals and what actions might be effective for them. Accordingly, systems and methods according to present principles minimize the impact of the vagaries of diabetes on individuals, i.e., by looking for patterns and tendencies of an individual and customizing the management to that individual. Consequently, the same reduces the uncertainty that diabetes typically is associated with and improves quality of life.

Abstract: Systems and methods for remote and host monitoring communication are disclosed. In some implementations, monitoring systems can comprise a host monitoring device associated with a Host communicatively coupled to one or more remote monitoring devices associated with Remote Monitors. The host monitoring device can send communications based at least in part on analyte measurements of a Host sensor and/or other contextual data giving such measurements context. Different remote monitoring devices can receive different communications based at least in part on the role of the respective Remote Monitors relative to the Host. These roles can be reflected in classifications of Remote Monitors.

Abstract: Systems and methods for remote and host monitoring communication are disclosed. In some implementations, monitoring systems can comprise a host monitoring device associated with a Host communicatively coupled to one or more remote monitoring devices associated with Remote Monitors. The host monitoring device can send communications based at least in part on analyte measurements of a Host sensor and/or other contextual data giving such measurements context. Different remote monitoring devices can receive different communications based at least in part on the role of the respective Remote Monitors relative to the Host. These roles can be reflected in classifications of Remote Monitors.

Abstract: Systems and methods for remote and host monitoring communication are disclosed. In some implementations, monitoring systems can comprise a host monitoring device associated with a Host communicatively coupled to one or more remote monitoring devices associated with Remote Monitors. The host monitoring device can send communications based at least in part on analyte measurements of a Host sensor and/or other contextual data giving such measurements context. Different remote monitoring devices can receive different communications based at least in part on the role of the respective Remote Monitors relative to the Host. These roles can be reflected in classifications of Remote Monitors.

Abstract: The present disclosure relates to techniques for receiving glucose data from a continuous glucose sensor and controlling the use and redistribution of that data so it is used in an intended manner. In one aspect, a system includes a plurality of continuous glucose monitor (CGM) devices; a plurality of display devices to receive data from the CGM devices classified into a plurality of classifications based on data type; a cloud server architecture to receive the data from the display devices on an intermittent basis, in which the data routed to a particular server of the plurality of servers is determined by the data type, and in which the intermittent basis varies depending upon data type; a plurality of remote monitor display devices; and an analysis and report engine.

Abstract: The present disclosure relates to techniques for receiving glucose data from a continuous glucose sensor and controlling the use and redistribution of that data so it is used in an intended manner. In one aspect, a method includes preparing data including glucose levels using a continuous glucose sensor unit; wirelessly transmitting the data relating to the glucose levels to a display device from the continuous glucose sensor unit; automatically forwarding the data relating to the glucose levels from the display device to a cloud computing architecture; and storing the data relating to the glucose levels in separate groups at the cloud computing architecture.

Abstract: A method of dividing a large task allocation problem is disclosed. The large task allocation problem includes a plurality of tasks and servicers. The method includes calculating an overall metric of the large task allocation problem, based at least in part on the quantity of tasks and quantity of servicers of the large task allocation problem. The method also includes dividing the large task allocation problem into a plurality of smaller task allocation problems. Each of the smaller task allocation problems includes tasks and servicers where each particular smaller task allocation problem has a problem metric calculated based at least in part on the quantity of tasks and the quantity of servicers of the particular smaller task allocation problem. The difference between the problem metric of each of the smaller task allocation problems and the overall metric of the large task allocation problem is less than a metric threshold.

Abstract: Systems and methods of allocating tasks to servicers are disclosed. The systems and methods generate task/servicer pairings, each pairing identifying one of the tasks and one of the servicers. Ranks are generated for the pairings, and pairings are selected for potential allocation based on the ranks. If the task of a pairing is allocatable to the servicer of the pairing, the task is allocated to the servicer. If the task of a pairing is not allocatable to the servicer of the pairing, a next pairing is selected.

Abstract: Systems and methods of allocating tasks to servicers are disclosed. The systems and methods select one of the servicers and one of the tasks based on selection criteria. The systems and methods then determine whether the selected task may be allocated to the selected servicer. If the selected task may be allocated to the selected servicer, the systems and methods allocate the task accordingly. If the selected task may not be allocated to the selected servicer, the systems and methods select another one of the servicers and another one of the tasks.

Abstract: A distributed learning system includes a server configured to store and deliver knowledge units, wherein said knowledge units comprise interactive content. A user system is configured to selectively connect to said server over a network and to receive and store said knowledge units. The user system includes a browser and a run-time engine configured to interoperate with said Web browser to activate said Knowledge Units. In accordance with another aspect of the present invention, a Knowledge Unit Builder (KUB) is configured to allow authors to create Knowledge Units comprising interactive content.