Abstract: A system and method are provided for generating a plurality of basal rate models that together model delivery of a corresponding plurality of basal rates of a diabetes treatment drug to a patient over a period of time. Information may be collected from a plurality of patients that have a diabetic condition and to which the diabetes treatment drug has been delivered. The collected information may include a glycemic control indicator for each of the plurality of patients that is indicative of an efficacy of the diabetes treatment drug in treating the patient's diabetic condition. The collected information may be filtered based on the glycemic control indicators to produce a subset of information that includes information only for patients that exhibit acceptable glycemic control. The plurality of basal rate models may be generated based on the subset of the collected information, and may be stored in a memory unit.

Abstract: A system for recommending insulin bolus quantities to an insulin user includes a display unit and memory unit coupled to a control circuit with a user blood glucose target stored in the memory unit. The control circuit is programmed to receive the user's current blood glucose value, to determine and display via the display unit a recommended correction insulin bolus quantity if the current blood glucose value exceeds the blood glucose target, to compute a difference value as the current blood glucose value less the blood glucose target, and to produce a modified blood glucose target as a sum of the blood glucose target and the difference value for a lock-out time period if the difference value is positive. Additional correction insulin bolus quantities may be recommended during the lock-out time period if the user's current blood glucose value exceeds the modified blood glucose target.

Abstract: A system for developing patient-specific therapies based on dynamic modeling of patient-specific physiology and method thereof are disclosed. The system includes software modules configured to provide access via a computer to one or more data collection protocols defining at least a type of patient-specific data to be collected and a manner in which the patient-specific data is to be collected, and to information from which one or more patient-specific models, configured to simulate one or more aspects of the patient's physiology, is developed. Another software module of the system is configured to provide access via the computer to one or more software tools that apply patient-specific data, collected according to the one or more data collection protocols, to the one or more patient specific models to determine therefrom one or more patient-specific therapies.

Abstract: A diagnosis, therapy and prognosis system (DTPS) and method thereof to help either the healthcare provider or the patient in diagnosing, treating and interpreting data are disclosed. The apparatus provides data collection based on protocols, and mechanism for testing data integrity and accuracy. The data is then driven through an analysis engine to characterize in a quantitative sense the metabolic state of the patient's body. The characterization is then used in diagnosing the patient, determining therapy, evaluating algorithm strategies and offering prognosis of potential use case scenarios.

Abstract: A therapy delivery system having an open architecture and method of providing thereof are disclosed. The present invention provides a therapy dosage module having a control algorithm that can be replaced with a predefined or independently defined control algorithm. The tools necessary to create and test such control algorithms in the therapy dosage module in a simulated environment before implementing it in a live therapy system are also disclosed.

Abstract: A patient interface for a therapy system allows a patient to input information that characterizes at least one patient event or condition and from which therapy information can be determined. The patient interface may illustratively be formed by developing a patient model that is configured to simulate the patient's physiological response to the at least one patient event or condition, collecting patient-specific information over time that relates to actual occurrences of the at least one patient event or condition, and defining a graphical interface, based on the patient model and on the collected patient-specific information, that maps input from the patient of the information that characterizes the at least one patient event or condition to corresponding therapy information.

Abstract: A system is provided for collecting patient information from which diabetes therapy may be determined. The system may comprise a patient interface device, a patient notification device, an input device for entering patient information, and an information collecting unit. The information collecting unit may include a processor electrically coupled to a memory having stored therein at least one algorithm executable by the processor to activate the patient notification device followed by presenting instructions to the patient via the patient interface device for collecting specified information from the patient via the input device.

Abstract: A system for recommending insulin bolus quantities to an insulin user includes a display unit and memory unit coupled to a control circuit with a user blood glucose target stored in the memory unit. The control circuit is programmed to receive the user's current blood glucose value, to determine and display via the display unit a recommended correction insulin bolus quantity if the current blood glucose value exceeds the blood glucose target, to compute a difference value as the current blood glucose value less the blood glucose target, and to produce a modified blood glucose target as a sum of the blood glucose target and the difference value for a lock-out time period if the difference value is positive. Additional correction insulin bolus quantities may be recommended during the lock-out time period if the user's current blood glucose value exceeds the modified blood glucose target.

Abstract: A system for recommending insulin bolus quantities to an insulin user includes a display unit and memory unit coupled to a control circuit with a user blood glucose target stored in the memory unit. The control circuit is programmed to receive the user's current blood glucose value, to determine and display via the display unit a recommended correction insulin bolus quantity if the current blood glucose value exceeds the blood glucose target, to compute a difference value as the current blood glucose value less the blood glucose target, and to produce a modified blood glucose target as a sum of the blood glucose target and the difference value for a lock-out time period if the difference value is positive. Additional correction insulin bolus quantities may be recommended during the lock-out time period if the user's current blood glucose value exceeds the modified blood glucose target.

Abstract: A system for determining drug administration information may comprise an input device providing for user input of feed forward information having a first parameter component and a second parameter component, a data storage device and a processor. The data storage device may have stored therein a map correlating values of the first and second parameters to drug administration information. The processor may be responsive to user input of the feed forward information to determine corresponding drug administration information according to the map.

Abstract: A system providing for user intervention in a medical control arrangement may comprise a first user intervention mechanism responsive to user selection thereof to produce a first user intervention signal, a second user intervention mechanism responsive to user selection thereof to produce a second user intervention signal, and a processor executing a drug delivery algorithm forming part of the medical control arrangement. The processor may be responsive to the first user intervention signal to include an intervention therapy value in the execution of the drug delivery algorithm, and responsive to the second user intervention signal to exclude the intervention therapy value from the execution of the drug delivery algorithm. The medical control arrangement may be a diabetes control arrangement, the drug delivery algorithm may be an insulin delivery algorithm, and the intervention therapy value may be, for example, an intervention insulin quantity or an intervention carbohydrate quantity.

Abstract: A method of computing an insulin bolus quantity when a measured glucose value in a current time interval exceeds a target glucose value for the current time interval and when a time duration of glucose lowering action of the bolus to be administered spans the current and a number of the next adjacent time intervals, may comprise determining a corresponding number of percentages of insulin action of the recommended bolus quantity that will each be used lowering the glucose level during a respective one of the number of time intervals, and computing the recommended bolus quantity as a function of the measured glucose value, the target blood glucose level for a last one of the number of next adjacent time intervals, the insulin sensitivities for the current and each of the number of next adjacent time intervals, and the corresponding number of percentages.

Abstract: A system for recommending insulin bolus quantities to an insulin user includes a display unit and memory unit coupled to a control circuit with a user blood glucose target stored in the memory unit. The control circuit is programmed to receive the user's current blood glucose value, to determine and display via the display unit a recommended correction insulin bolus quantity if the current blood glucose value exceeds the blood glucose target, to compute a difference value as the current blood glucose value less the blood glucose target, and to produce a modified blood glucose target as a sum of the blood glucose target and the difference value for a lock-out time period if the difference value is positive. Additional correction insulin bolus quantities may be recommended during the lock-out time period if the user's current blood glucose value exceeds the modified blood glucose target.

Abstract: A system is provided that enables glycemic control for a subject. The system includes an insulin delivery unit, a glucose sensor, and a control unit. The control unit includes a processor unit that receives glucose value readings from the glucose sensor, executes an algorithm that predicts a glucose value at a predetermined time in the future, compares that predicted glucose value to a pre-determined glucose value range, and determines a corrective amount of insulin to be administered when the predictive glucose value lies outside of the predetermined glucose value range. The control unit also includes a communication unit that transmits the corrective amount to the delivery unit.

Abstract: A system is provided that enables glycemic control for a subject. The system includes an insulin delivery unit, a glucose sensor, and a control unit. The control unit includes a processor unit that receives glucose value readings from the glucose sensor, executes an algorithm that predicts a glucose value at a pre-determined time in the future, compares that predicted glucose value to a pre-determined glucose value range, and determines a corrective amount of insulin to be administered when the predictive glucose value lies outside of the pre-determined glucose value range. The control unit also includes a communication unit that transmits the corrective amount to the delivery unit.

Abstract: A method for calculating a coagulation characteristic of a sample of blood, a blood fraction, or a control comprises generating an output signal indicative of coagulation of the sample, sampling the output signal at a sampling rate for a predetermined time to provide a plurality of sampled signal values, storing the sampled signal values, rectifying the stored sampled signal values to provide a plurality of envelope values, and storing the envelope values. The stored envelope values are examined in reverse time order to determine a slope of the envelope at each of the stored envelope values. All relative maxima in the stored envelope values are identified. A range of stored envelope values corresponding to each relative maximum is determined. The identified relative maxima are compared to locate an absolute maximum in the stored envelope values.

Abstract: A biosensing meter is provided that determines a value of an analyte in a biological sample. The meter employs an algorithm for determining the analyte value, which value is dependent upon ambient temperature about the biological sample when it is present in a reaction zone. The biosensing meter includes a processor and a temperature sensor. The temperature sensor is positioned within the meter's structure and thereby exhibits a delayed response to changes in the ambient temperature. The meter performs a temperature estimation method to overcome the delayed temperature response. The method commences by the meter repetitively and periodically acquiring temperature readings from the temperature sensor when the biosensing meter is both in an on state and in an off state. When the meter is in the on state, the algorithm estimates the ambient temperature by employing at least two most recent temperature readings and extrapolating therefrom to achieve an ambient temperature estimate.