Abstract: Methods and devices for providing computerized adjustment to therapy parameters using real time and retrospective data processing is provided. Embodiments include receiving a respective data set from an infusion device and an analyte monitoring device for a predetermined time duration, user notification and reminder of the predetermined time duration, time synchronizing the received respective data set, detecting one or more marked data from the one or more respective data set received, establishing one or more filtering criteria to filter of retrospective or historical data based on certain condition, performing automated data analysis based on the detected one or more marked data or the data achieving certain predetermined condition to generate a modification to a therapy profile, generating and modifying rules for profile modification, and providing the generated modification to the therapy profile for reporting and transmission.

Abstract: The present invention relates to methods to increase the number of analyte-related signals used to provide analyte measurement values, e.g., when two or more analyte-related signals are used to obtain a single analyte measurement value a “rolling” value based on the two or more signals can be employed. In another aspect, interpolation and/or extrapolation methods are used to estimate unusable, missing or error-associated analyte-related signals. Further, interpolation and extrapolation of values are employed in another aspect of the invention that reduces the incident of failed calibrations. Further, the invention relates to methods, which employ gradients and/or predictive algorithms, to provide an alert related to analyte values exceeding predetermined thresholds.

Abstract: The present invention relates to methods of formulating analyte data databases, the databases themselves, and methods of manipulating the same. In one aspect the present invention includes the formulation of analyte data points, derived data, and data attributes databases comprising data points collected using an analyte monitoring device capable of frequent monitoring of analyte concentrations or amounts. Such data points may comprise acquired data (e.g., values corresponding to analyte concentrations or amounts as measured by said analyte monitoring device). These data points are then associated with one or more relevant data attributes. The resulting databases may be manipulated to determine relationships among the components of the database.