Abstract: Systems and methods are provided for determining patterns, trends, anomalies, and/or abnormalities in data relating to operation of an insulin delivery pump and user outcomes relating to an insulin delivery pump and determining certain actions and/or operational adjustments to improve the user outcomes, such as blood glucose levels. For example, troubleshooting actions may be recommended upon determining a pattern, trend, abnormality, and/or anomaly in blood glucose levels that is undesirable. In another example, operation of the insulin delivery pump may be adjusted based habits and/or behaviors of the user. For example, insulin delivery timing may be adjusted based on exercise, activity and/or eating patterns. Based on the detected patterns, trends, anomalies, and/or abnormalities, a user device such as a mobile phone or smart device may present prompts for more information, alerts, status updates, and other information intended to improve the user experience.

Abstract: Systems and methods are provided for determining patterns, trends, anomalies, and/or abnormalities in data relating to operation of an insulin delivery pump and user outcomes relating to an insulin delivery pump and determining certain actions and/or operational adjustments to improve the user outcomes, such as blood glucose levels. For example, troubleshooting actions may be recommended upon determining a pattern, trend, abnormality, and/or anomaly in blood glucose levels that is undesirable. In another example, operation of the insulin delivery pump may be adjusted based habits and/or behaviors of the user. For example, insulin delivery timing may be adjusted based on exercise, activity and/or eating patterns. Based on the detected patterns, trends, anomalies, and/or abnormalities, a user device such as a mobile phone or smart device may present prompts for more information, alerts, status updates, and other information intended to improve the user experience.