Abstract: Disclosed herein is a method, implemented in an automated drug delivery system for determining a risk of a hypoglycemic or hyperglycemic condition based on risk factors calculated each time a new blood glucose reading is received and providing an alert to the user should a risk be determined. The risk factors may include the current CGM reading, the trend of CGM readings, the amount of insulin-on-board of the user and the accuracy of previous alerts provided to the user. The method may be modified to provide the risk of hypoglycemia if the user were to engage in exercise or other physical activities.

Abstract: Disclosed are a computing apparatus, a computer-readable medium and a method that enable a user to use subjective inputs to alter settings of a wearable automatic drug delivery system. A user input device is presented on a graphical user interface that enables input of a subjective insulin need parameter. In response to receiving the input, the processor may modify a subjective coefficient value. A specific factor useable by an automatic insulin delivery algorithm is set based on the subjective coefficient value. Physiological condition data related to the user and the set specific factor may be used to determine a dosage of insulin to be delivered to the user based on the collected physiological condition data of the user. The processor may cause the determined dosage of insulin to be delivered to the user based on an output of the automatic insulin delivery algorithm.