Abstract: Analyte monitoring devices, systems, and methods are provided that relate to: enabling different application features on a data processing device for analyte monitoring devices with different analyte monitoring features; programming analyte monitoring devices in advance; personalizing an analyte monitoring device; graphically representing a remaining insulin level in a user body; and graphically representing analyte measurement related data for on-demand readings; protecting access to feature of an analyte monitoring device.

Abstract: Analyte monitoring devices, systems, and methods are provided that relate to: enabling different application features on a data processing device for analyte monitoring devices with different analyte monitoring features; programming analyte monitoring devices in advance; personalizing an analyte monitoring device; graphically representing a remaining insulin level in a user body; and graphically representing analyte measurement related data for on-demand readings; protecting access to feature of an analyte monitoring device.

Abstract: Analyte monitoring devices, systems, and methods are provided that relate to: enabling different application features on a data processing device for analyte monitoring devices with different analyte monitoring features; programming analyte monitoring devices in advance; personalizing an analyte monitoring device; graphically representing a remaining insulin level in a user body; and graphically representing analyte measurement related data for on-demand readings; protecting access to feature of an analyte monitoring device.

Abstract: Continuous glucose monitoring (CGM) data and insulin delivery data are used to generate more reliable projected alarms related to a projected glucose levels. A memory stores endogenous data related to measurements of glucose level in a patient, and also stores exogenous data, such as insulin on board, both of which are used by a processor to create projected alarms. Profiles of CGM data are created for use in tuning patient-specific insulin data, such at basal rate, carb ratio, and insulin sensitivity. A processor searches for patterns in the data profiles and if found, recommended changes to patient-specific insulin data are provided to permit more accurate control over a patient's glucose levels.

Abstract: Continuous glucose monitoring (CGM) data and insulin delivery data are used to generate more reliable projected alarms related to a projected glucose levels. A memory stores endogenous data related to measurements of glucose level in a patient, and also stores exogenous data, such as insulin on board, both of which are used by a processor to create projected alarms. Profiles of CGM data are created for use in tuning patient-specific insulin data, such at basal rate, carb ratio, and insulin sensitivity. A processor searches for patterns in the data profiles and if found, recommended changes to patient-specific insulin data are provided to permit more accurate control over a patient's glucose levels.

Abstract: Safety features are applied to an integrated insulin delivery system to enhance safety by controlling medication delivery including the automatic resumption of basal rate after a particular event, such as termination of a bolus, expiration of a time period, delayed resumption after the bolus has terminated, IOB comparison, and others. Other safety features include overriding a delivery control that may result in hypoglycemia, and terminating an extended bolus or temporary basal rate in view of a glucose signal indicating imminent carbohydrate deficiency. In another feature, an automatic resumption of a basal delivery rate is programmed into the delivery device to avoid the possibility of complete loss of delivery of insulin in the event that communication with the delivery device is disrupted.

Abstract: Various systems and methods for improving the usability of continuous glucose monitors and drug delivery pumps are described.

Abstract: Various systems and methods for improving the usability of continuous glucose monitors and drug delivery pumps are described.

Abstract: An integrated insulin delivery system having safety features for controlling medication delivery includes automatic resumption of basal rate after a particular event, such as termination of a bolus, expiration of a time period, delayed resumption after the bolus has terminated, IOB comparison, and others. Other safety features include overriding a delivery control that may result in hypoglycemia, terminating an extended bolus or temporary basal rate in view of a glucose signal indicating imminent carbohydrate deficiency, and controlling the delivery rate to take an asymmetrical bias range of a glucose sensor into account to avoid hypoglycemia.

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: An integrated insulin delivery system having safety features for controlling medication delivery includes automatic resumption of basal rate after a particular event, such as termination of a bolus, expiration of a time period, delayed resumption after the bolus has terminated, IOB comparison, and others. Other safety features include overriding a delivery control that may result in hypoglycemia, terminating an extended bolus or temporary basal rate in view of a glucose signal indicating imminent carbohydrate deficiency, and controlling the delivery rate to take an asymmetrical bias range of a glucose sensor into account to avoid hypoglycemia.

Abstract: Safety features are applied to an integrated insulin delivery system to enhance safety while accounting for glucose sensor bias and calibration errors. One safety feature includes comparisons of calibrations of the sensor to nominal sensitivity and taking action, such as limiting insulin delivery or taking a further calibration of the sensor. In another feature, an automatic resumption of a basal delivery rate is programmed into the delivery device to avoid the possibility of complete loss of delivery of insulin in the event that communication with the delivery device is disrupted. Other features include steps taken to avoid hypoglycemia in the event that the sensor is negatively biased.

Abstract: Analyte monitoring devices, systems, and methods are provided that relate to: enabling different application features on a data processing device for analyte monitoring devices with different analyte monitoring features; programming analyte monitoring devices in advance; personalizing an analyte monitoring device; graphically representing a remaining insulin level in a user body; and graphically representing analyte measurement related data for on-demand readings; protecting access to feature of an analyte monitoring device.

Abstract: System and method receive medical data of a patient having a disease afflicted health condition for processing and analysis of that data. Software installed on a health care provider's computer for processing the medical data includes a GUI reimbursement window that informs the HCP of reimbursement possibilities for analysis of the data and counseling of the patient. The reimbursement window also includes hyperlinks and may also include codes for insurance claims. Lists of reimbursement entities, pre-authorization instructions, coding instructions, and contacts may all be included and may be personalized for a particular patient. In one case, a complete bill is created and submitted to an insurance entity. In another, a patient data base is created so that the reimbursement window can inform the HCP of patient analysis frequency, which may affect reimbursement.

Abstract: Continuous glucose monitoring (CGM) data and insulin delivery data are used to generate more reliable projected alarms related to a projected glucose levels. A memory stores endogenous data related to measurements of glucose level in a patient, and also stores exogenous data, such as insulin on board, both of which are used by a processor to create projected alarms. Profiles of CGM data are created for use in tuning patient-specific insulin data, such at basal rate, carb ratio, and insulin sensitivity. A processor searches for patterns in the data profiles and if found, recommended changes to patient-specific insulin data are provided to permit more accurate control over a patient's glucose levels.

Abstract: A system for generating a report having varying integrated levels of medical information related to a health condition is provided. The system comprises a host server having a host database and a client component that connects to the host server. The client component includes a report software application that is configured to generate a report and provide a GUI on the display. A processor populates the GUI based upon received and processed medical information from the host server component and arranges the medical information in predetermined, inter-related levels. A cursor is provided to allow the user to point to an area of interest in the display and a further level of information pertaining to one or more layers of medical information is viewable by a user when the cursor is pointed over an image on the display.

Abstract: Various systems and methods for improving the usability of continuous glucose monitors and drug delivery pumps are described.

Abstract: A proactive system and method in which levels of glucose are monitored after a meal signal and compared to a safe range. If a monitored glucose level is outside the safe range, a post-prandial vertex of the glucose level is identified and an action is provided to more rapidly return the glucose level to a target level within the safe range than if no action was provided. In another aspect a control parameter in an IDM system is adjusted by determining a performance metric of the system as a function of the levels of glucose and a medication administration signal over a first window of time; and, if the performance metric is outside an expected range, adjusting the control parameter to adjust an amount of medication and to bring the performance metric inside the expected range.

Abstract: Safety features are applied to an integrated insulin delivery system to enhance safety while accounting for glucose sensor bias and calibration errors. One safety feature includes comparisons of calibrations of the sensor to nominal sensitivity and taking action, such as limiting insulin delivery or taking a further calibration of the sensor. In another feature, an automatic resumption of a basal delivery rate is programmed into the delivery device to avoid the possibility of complete loss of delivery of insulin in the event that communication with the delivery device is disrupted. Other features include steps taken to avoid hypoglycemia in the event that the sensor is negatively biased.

Abstract: Methods and devices for providing programming tool for programming the initial and on-going operation of a therapy delivery device is provided. Embodiments include generating empirical rules for determining initial operating settings, applying the final empirical rules to a patient population, detecting a connection to a therapy delivery device, identifying the connected delivery device, receiving data download request from the delivery device. retrieving updated data associated with the connected delivery device; visualizing changes to the settings data of the device, and automatically transmitting the retrieved updated data to the delivery device.