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: User interfaces are needed to alert and inform a person suffering from diabetes or a healthcare provider of possible harmful changes in the patient's blood glucose level. An improved method is presented for issuing an alert regarding a glucose condition of a patient by a diabetes management system. For a given patient, their glucose condition is quantified and presented as a state on a display. Glucose conditions can also be prioritized for a plurality of patients and presented to a healthcare provider.

Abstract: A system and technique are enclosed for determining the effectiveness of a blood glucose therapy treatment. Examples of this technique include analyzing sufficiency of blood glucose data collected from a patient with a computing device, analyzing hypoglycemic risk based on the blood glucose data with the computing device, analyzing glycemic control for the blood glucose data with the computing device, analyzing glycemic variability of the blood glucose data with the computing device, and outputting results from said analyzing the sufficiency, said analyzing the hypoglycemic risk, said analyzing the glycemic control, and said analyzing the glycemic variability with the computing device.

Abstract: A computer implemented method for transmitting messages generated by a continuous glucose monitor (CGM), the method comprising: generating a first message at the CGM at a first time, the first message being related to blood glucose measuring; generating a second message at the CGM at a second time, the second time being after the first time, the second message being related to blood glucose measuring; determining an elapsed time since a transmitter of the CGM has transmitted data; determining whether the elapsed time is greater than a threshold; determining whether the second message is to be transmitted before the first message, in response to the elapsed time being greater than the threshold; and transmitting data corresponding with the second message before transmitting data corresponding with the first message to a diabetes management device, in response to determining that the second message is to be transmitted before the first message.

Abstract: A computer-implemented method is presented for recommending insulin dosage adjustments for a patient having diabetes. The method includes: identifying a plurality of bolus events from patient data; grouping bolus events having a recommended bolus dosage substantially equivalent to the amount of administered insulin into a first subset of bolus events; determining a bolus outcome for each of the bolus events in the first subset of bolus events, where the bolus outcome is expressed in relation to a target range of blood glucose values and is selected from a group including above the target range, in the target range and below the target range; determining whether one of the bolus outcomes is predominant amongst the bolus events in the first subset of bolus events; and generating a recommendation pertaining to insulin dosage for the patient in response to a determination that one of the bolus outcomes is predominant.

Abstract: A method includes: measuring a blood glucose (bG) level in a blood sample; storing the bG level and a time of receipt of the blood sample; storing a classification of the blood sample; in response to the receipt of the blood sample, selecting a group of stored bG levels having the classification of the blood sample and that were received within a predetermined period before receipt of the blood sample; calculating a bG evaluation parameter from the selected bG levels; evaluating the bG evaluation parameter in relation to first predetermined criteria, the first predetermined criteria including a first threshold indicative of a high bG level or a low bG level; selectively displaying an indication of recognition of a pattern in the selected bG levels when the bG evaluation parameter is greater than or less than the first threshold; and selectively removing the indication from the display.

Abstract: A blood glucose (bG) measurement engine selectively measures bG levels in blood samples input to a handheld diabetes management device. A computer readable medium includes code executed by a processor to: identify a period of N days, the period including the current date and N?1 days immediately prior to the current date, wherein N is an integer greater than 6; determine a total number of the N days during which the patient input at least two blood samples; and, when the total number of the N days is greater than M, M being an integer greater than zero and less than or equal to N: calculate a value based on the bG levels of blood samples input during the period; based on the value, classify the patient as having a first, second, or third risk of being hypoglycemic in the future.

Abstract: A computer implemented method for transmitting messages generated by a continuous glucose monitor (CGM), the method comprising: generating a first message at the CGM at a first time, the first message being related to blood glucose measuring; generating a second message at the CGM at a second time, the second time being after the first time, the second message being related to blood glucose measuring; determining an elapsed time since a transmitter of the CGM has transmitted data; determining whether the elapsed time is greater than a threshold; determining whether the second message is to be transmitted before the first message, in response to the elapsed time being greater than the threshold; and transmitting data corresponding with the second message before transmitting data corresponding with the first message to a diabetes management device, in response to determining that the second message is to be transmitted before the first message.

Abstract: A method includes: measuring a blood glucose (bG) level in a blood sample; storing the bG level and a time of receipt of the blood sample; storing a classification of the blood sample; in response to the receipt of the blood sample, selecting a group of stored bG levels having the classification of the blood sample and that were received within a predetermined period before receipt of the blood sample; calculating a bG evaluation parameter from the selected bG levels; evaluating the bG evaluation parameter in relation to first predetermined criteria, the first predetermined criteria including a first threshold indicative of a high bG level or a low bG level; selectively displaying an indication of recognition of a pattern in the selected bG levels when the bG evaluation parameter is greater than or less than the first threshold; and selectively removing the indication from the display.

Abstract: A system and technique are enclosed for determining the effectiveness of a blood glucose therapy treatment. Examples of this technique include analyzing sufficiency of blood glucose data collected from a patient with a computing device, analyzing hypoglycemic risk based on the blood glucose data with the computing device, analyzing glycemic control for the blood glucose data with the computing device, analyzing glycemic variability of the blood glucose data with the computing device, and outputting results from said analyzing the sufficiency, said analyzing the hypoglycemic risk, said analyzing the glycemic control, and said analyzing the glycemic variability with the computing device.

Abstract: A computer-implemented method is presented for recommending insulin dosage adjustments for a patient having diabetes. The method includes: identifying a plurality of bolus events from patient data; grouping bolus events having a recommended bolus dosage substantially equivalent to the amount of administered insulin into a first subset of bolus events; determining a bolus outcome for each of the bolus events in the first subset of bolus events, where the bolus outcome is expressed in relation to a target range of blood glucose values and is selected from a group including above the target range, in the target range and below the target range; determining whether one of the bolus outcomes is predominant amongst the bolus events in the first subset of bolus events; and generating a recommendation pertaining to insulin dosage for the patient in response to a determination that one of the bolus outcomes is predominant.

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: 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.