Abstract: A method and system for calculating daily weighted averages of glucose measurements (or derived quantities) with time-based weights are disclosed. The present invention computes an average daily glucose value using the time based weights based on only consecutive glucose measurements in the plurality of glucose measurements with acceptable time intervals that do not exceed a predefined maximum time interval. The invention further relates to a computer program for implementing the method for calculating daily weighted averages of spot monitoring glucose measurements (or derived quantities) with the time-based weights.

Abstract: In one embodiment, a method of performing a structured collection protocol by utilizing a collection device comprising a processor may include collecting at least one sample using the collection device. The at least one sample can be associated with biomarker data. A classification can be associated with the at least one sample via the processor. The classification can be based upon an intended use of the at least one sample. Compliance with an adherence criteria for the at least one sample can be determined via the processor. When the at least one sample is not compliant with the adherence criteria, an adherence event can be associated with the at least one sample, and the processor can perform at least one additional task that is based upon the classification associated with the at least one sample.

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: An electronic device may be configured to prompt a user via an on-board display to measure user glucose via an on-board glucose meter, to compute a first drug bolus value based on the measured user glucose, to display the first drug bolus value on the display and prompt the user via the display to enter carbohydrate information into the device, to compute a second drug bolus value based on the entered carbohydrate information, to display the second drug bolus value on the display and prompt the user via the display to enter user health information into the device, to compute a third drug bolus value based on the entered health information and a total drug bolus value as a sum of the first, second and third drug bolus values, and to display the third and total drug bolus values on the display.

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 method is disclosed for providing therapeutic guidelines to a person having diabetes. The method comprises measuring a blood glucose (bG) level of the person for two or more days, wherein at least one bG measurement is taken per day, and the at least one daily bG measurement corresponds to one or more daily events for the person; recording the measured bG levels in a computing device; determining, by the computing device, whether the recorded bG levels are below, within, or above one or more predetermined bG ranges; an automatically providing, by the computing device, therapeutic guidelines to the person, based on whether the recorded bG levels are below, within, or above the one or more predetermined bG ranges.

Abstract: Methods for providing an estimated or predicted biological values in a sectioned display to assess the relative impact of a set of variables include collecting biological measurements, grouping the biological measurements based on the set of variables, evaluating the biological measurements to determine grouped estimated biological values or grouped predicted biological values, and providing the grouped estimated biological values or grouped predicted biological values within a plurality of sections in the sectioned display, wherein the plurality of sections correspond to the set of variables.

Abstract: Methods and systems are disclosed for estimating a glucose level of a person having diabetes comprises. One method may comprise: receiving into a computing device a plurality of measured glucose results from a glucose sensor coupled to the person; using the computing device to analyze the plurality of measured glucose results with a probability analysis tool configured to determine a probability of glucose sensor accuracy based on the plurality of measured glucose results; and using the computing device to estimate a glucose level of the person with a recursive filter configured to estimate the glucose level based on the plurality of measured glucose results weighted with the probability of glucose sensor accuracy.

Abstract: Embodiments related to a system and method managing the implementation, execution, data collection, data analysis and status reporting of a structured collection procedure running on a portable, hand-held collection device are disclosed. The collection device performing the structured collection procedure has program instructions that when executed by a processor cause the processor to initiate automatically a schedule of events of the structured collection procedure upon one or more entry criteria being met at some unknown time, store in memory patient data collected in accordance to the schedule of events, end automatically the structured collection procedure upon one or more exit criteria being met at some unknown time. Status reporting can be provided throughout the execution of the collection procedure.

Abstract: A collection device with a selective display of test results and method thereof are disclosed. A structured collection procedure defining data collection times and the associated context of the collection also defines what information regarding the results of the collection may be viewable by a user performing the structured collection procedure on the device. In this manner, the patient can be monitored according to the structured collection procedure while preventing the patient from modifying his or her behavior based on collection results.

Abstract: Embodiments related to a self-administered, behavior modification program facilitated through a structured tailoring method and system thereof which accelerates and enhances the internalization process of the individual, and which provides help when the individual begins to fail in adhering or continuing with the behavior modification are disclosed. Program instructions that when executed by a processor causes a processor to initiate automatically a schedule of events of a structured tailoring procedure upon entry criteria being met at some unknown time, provide intervention according to the intervention preferences when the adherence criteria for one of the events has not been met, and end automatically the structured collection procedure upon exit criteria being met at some unknown time.

Abstract: Embodiments of a testing method suitable for diabetic persons to optimize their administered insulin dosage comprise collecting one or more sampling sets of biomarker data, wherein each sampling set comprises a sufficient plurality of non-adverse sampling instances and wherein each sampling instance comprises an acceptable biomarker reading at a single point in time recorded upon compliance with adherence criteria, determining a biomarker sampling parameter from each sampling set, comparing the biomarker sampling parameter to a target biomarker range, calculating an insulin adjustment parameter associated with the biomarker sampling parameter if the biomarker sampling parameter falls outside the target biomarker range, adjusting the insulin dosage by the insulin adjustment parameter if the biomarker sampling parameter falls outside the target biomarker range and if the insulin dosage does not exceed maximum dosage, and exiting the testing method if the adjusted insulin dosage is optimized.

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 method and system for providing both an estimated true mean blood glucose value and estimated glycated hemoglobin (HbA1C) value from spot blood glucose (bG) measurements are disclosed. The bG measurements and associated context of the bG measurement are collected at daily times specified by a structured sampling schema, and the collected bG measurements are weighted based on the associated context. The estimated true mean bG value and the estimate HbA1C value are then determined from the weighted measurements of the collected bG measurements. A computer program for implementing the method for providing both an estimated true mean blood glucose value and estimated glycated hemoglobin (HbA1C) value from spot blood glucose (bG) measurements is also disclosed.

Abstract: An adherence indication tool for chronic disease self-management and method thereof for measuring adherence or compliance to following or achieving prescribed therapy steps to achieve stated target goals for improved chronic disease self-management are disclosed.

Abstract: A structured testing method for diagnostic or therapy support of a patient with a chronic disease and devices thereof are disclosed which implement a structured collection procedure based on a medical use case and/or question which provides at least one or more parameters defining entry criterion, a schedule of events, adherence criterion, and exit criterion. The entry criterion establish conditions needed to be met prior to obtaining biomarker data from the patient. Each event can include one or more of a performance time, patient guidance to perform the event, a request for information from the patient a request for patient action, and a request for collection of biomarker data from the patient. The adherence criterion can be used to assess whether an event performed is acceptable to addressing the medical use case and/or question, and the exit criterion establishes conditions needed to be met prior to exiting the collection procedure.

Abstract: Embodiments related to a system and method managing the implementation, execution, data collection, and data analysis of a structured collection procedure running on a portable, hand-held collection device are disclosed. The collection device performing the structured collection procedure has program instructions that when executed by a processor causes the processor to initiate automatically a schedule of events of the structured collection procedure upon one or more entry criterions being met at some unknown time, store in memory patient data collected in accordance to the schedule of events, end automatically the structured collection procedure upon one or more exit criterions being met at some unknown time, and mark/indicate the structured collection procedure as completed if no exception occurred during performance of an event in the schedule of events.

Abstract: An electronic device may be configured to prompt a user via an on-board display to measure user glucose via an on-board glucose meter, to compute a first drug bolus value based on the measured user glucose, to display the first drug bolus value on the display and prompt the user via the display to enter carbohydrate information into the device, to compute a second drug bolus value based on the entered carbohydrate information, to display the second drug bolus value on the display and prompt the user via the display to enter user health information into the device, to compute a third drug bolus value based on the entered health information and a total drug bolus value as a sum of the first, second and third drug bolus values, and to display the third and total drug bolus values on the display.

Abstract: A blood glucose and lifestyle tracking apparatus is disclosed. The blood glucose and lifestyle tracking apparatus provides a method for recording both blood glucose values for fasting, postprandial, and preprandial time periods and lifestyle factors.

Abstract: A method and system for calculating daily weighted averages of glucose measurements (or derived quantities) with time-based weights are disclosed. The present invention computes an average daily glucose value using the time based weights based on only consecutive glucose measurements in the plurality of glucose measurements with acceptable time intervals that do not exceed a predefined maximum time interval. The invention further relates to a computer program for implementing the method for calculating daily weighted averages of spot monitoring glucose measurements (or derived quantities) with the time-based weights.