Abstract: A method of managing insulin includes receiving blood glucose measurements on a computing device from a glucometer. The blood glucose measurements are separated by a time interval. The method includes determining, by the computing device, an insulin dose rate based on the blood glucose measurements and determining a blood glucose drop rate based on the blood glucose measurements and the time interval. The method also includes determining a blood glucose percentage drop based on the blood glucose measurements. The method includes decreasing the time interval between blood glucose measurements by the glucometer when the blood glucose drop rate is greater than a threshold drop rate, and decreasing the time interval between blood glucose measurements by the glucometer when the blood glucose percentage drop is greater than a threshold percentage drop.

Abstract: A method includes obtaining training data for a plurality of patients of a patient population. The training data includes training blood glucose history data including treatment doses of insulin administered by the patients of the patient population and one or more outcome attributes associated with each treatment dose. The method also includes identifying, for each patient of the patient population, one or more optimum treatment doses of insulin from the treatment doses yielding favorable outcome attributes. The method also includes receiving patient-state information for the treated patient, determining a next recommended treatment dose of insulin for the treated patient based on one or more of the identified optimum treatment doses associated with the patients of the patient population having training patient-state information similar to the patient-state information for the treated patient, and transmitting the next recommended treatment dose to a portable device associated with the treated patient.

Abstract: A method of administering insulin includes receiving subcutaneous information for a patient at a computing device and executing a subcutaneous outpatient program for determining recommended insulin dosages. The subcutaneous outpatient program includes obtaining glucose data of the patient, aggregating glucose measurements to determine a representative aggregate glucose measurement associated with at least one scheduled glucose time interval, and determining a next recommended insulin dosage for the patient based on the representative aggregate glucose measurement and the subcutaneous information. The method also includes transmitting the next recommended insulin dosage to administration device associated with the patient.

Abstract: A method of administering insulin includes receiving glucose measurements of a patient at a data processing device from a continuous glucose monitoring system. The glucose measurements are separated by a time interval. The method also includes receiving patient information at the data processing device and selecting a subcutaneous insulin treatment from a collection of subcutaneous insulin treatments. The selection is based on the glucose measurements and the patient information. The selection includes one or more of a subcutaneous standard program, a subcutaneous program without meal boluses, a meal-by-meal subcutaneous program without carbohydrate counting, a meal-by-meal subcutaneous program with carbohydrate counting, and a subcutaneous program for non-diabetic patients. The method also includes executing, using the data processing device, the selected subcutaneous insulin treatment.

Abstract: A method for managing glucose levels of a patient under the supervision of a healthcare professional (HCP). The method includes obtaining patient information for the patient, the patient information comprising patient medication data, patient monitoring data, and patient characteristic data. The method also includes creating a patient risk profile based on the patient information. The method also includes determining a likelihood that the patient will experience hyperglycemic effects based on the patient risk profile. The method also includes determining an optimum treatment plan for the patient based on the patient risk profile and the likelihood that the patient will experience hyperglycemic effects. The method also includes executing the optimum treatment plan.

Abstract: A method includes obtaining prescribing drug information and published guidelines for each of a plurality of ADMs available for managing glucose levels, and receiving patient information associated with a patient. The method also includes ordering total demerit values from lowest to highest, selecting a predetermined number of recommended ADMs associated with the lowest total demerit values, and determining a recommended dosage for each recommended ADM. The method also includes transmitting a therapy regimen to a patient device associated with the patient. The therapy regimen includes the recommended ADMs and the recommended dosage for each recommended ADM.

Abstract: A method includes obtaining prescribing drug information and published guidelines for each of a plurality of ADMs available for managing glucose levels, and receiving patient information associated with a patient. The method also includes ordering total demerit values from lowest to highest, selecting a predetermined number of recommended ADMs associated with the lowest total demerit values, and determining a recommended dosage for each recommended ADM. The method also includes transmitting a therapy regimen to a patient device associated with the patient. The therapy regimen includes the recommended ADMs and the recommended dosage for each recommended ADM.

Abstract: A method of administering insulin includes receiving glucose measurements of a patient at a data processing device from a continuous glucose monitoring system. The glucose measurements are separated by a time interval. The method also includes receiving patient information at the data processing device and selecting a subcutaneous insulin treatment from a collection of subcutaneous insulin treatments. The selection is based on the glucose measurements and the patient information. The selection includes one or more of a subcutaneous standard program, a subcutaneous program without meal boluses, a meal-by-meal subcutaneous program without carbohydrate counting, a meal-by-meal subcutaneous program with carbohydrate counting, and a subcutaneous program for non-diabetic patients. The method also includes executing, using the data processing device, the selected subcutaneous insulin treatment.

Abstract: A method of managing insulin includes receiving blood glucose measurements on a computing device from a glucometer. The blood glucose measurements are separated by a time interval. The method includes determining, by the computing device, an insulin dose rate based on the blood glucose measurements and determining a blood glucose drop rate based on the blood glucose measurements and the time interval. The method also includes determining a blood glucose percentage drop based on the blood glucose measurements. The method includes decreasing the time interval between blood glucose measurements by the glucometer when the blood glucose drop rate is greater than a threshold drop rate, and decreasing the time interval between blood glucose measurements by the glucometer when the blood glucose percentage drop is greater than a threshold percentage drop.

Abstract: A method includes obtaining blood glucose measurements and blood glucose times of a patient from a blood glucose meter and executing a patient management program configured to display on a screen a graphical user interface having a trend window of the blood glucose measurements on the time line. The patient management program is configured to receive, in the trend window magnifying inputs for a magnification window superimposed on a segment of the timeline to specify a date range for a magnified window. The patient management program is further configured to display the magnified window including the blood glucose measurements of the patient from the specified date range and display a first information window including quantitative information associated with the blood glucose measurements from the specified date range.

Abstract: A method of administering insulin includes receiving blood glucose measurements of a patient at a data processing device from a glucometer. Each blood glucose measurement is separated by a time interval and includes a blood glucose time associated with a time of measuring the blood glucose measurement. The method also includes receiving patient information at the data processing device and selecting a subcutaneous insulin treatment for tube-fed patients from a collection of subcutaneous insulin treatments. The selection is based on the blood glucose measurements and the patient information. The subcutaneous insulin treatment program for tube-fed patients determines recommended insulin doses based on the blood glucose times. The method also includes executing, using the data processing device, the selected subcutaneous insulin treatment.

Abstract: A method of managing insulin includes receiving blood glucose measurements on a computing device from a glucometer. The blood glucose measurements are separated by a time interval. The method includes determining, by the computing device, an insulin dose rate based on the blood glucose measurements and determining a blood glucose drop rate based on the blood glucose measurements and the time interval. The method also includes determining a blood glucose percentage drop based on the blood glucose measurements. The method includes decreasing the time interval between blood glucose measurements by the glucometer when the blood glucose drop rate is greater than a threshold drop rate, and decreasing the time interval between blood glucose measurements by the glucometer when the blood glucose percentage drop is greater than a threshold percentage drop.

Abstract: A method and system for optimizing insulin dosages for diabetic subjects which includes a processor for calculating basal and bolus dosages to be recommended for meal types including breakfast, lunch, dinner, snack, or at miscellaneous times. The bolus calculations are specifically directed to time periods which are taken from either pre-meal, post-meal, bedtime, mid-sleep or miscellaneous times. The processor calculates an optimized bolus for a specific time period and meal type based upon prior basal dosages, prior glucose doses, hypoglycemia thresholds, mid-point of target ranges, and subject insulin sensitivity factors. A display is provided to the subject for sensing the optimized insulin dosage recommended at a specific time period and for a specific meal type.

Abstract: A method includes obtaining prescribing drug information and published guidelines for each of a plurality of ADMs available for managing glucose levels, and receiving patient information associated with a patient. The method also includes ordering total demerit values from lowest to highest, selecting a predetermined number of recommended ADMs associated with the lowest total demerit values, and determining a recommended dosage for each recommended ADM. The method also includes transmitting a therapy regimen to a patient device associated with the patient. The therapy regimen includes the recommended ADMs and the recommended dosage for each recommended ADM.

Abstract: A method of administering insulin includes receiving glucose measurements of a patient at a data processing device from a continuous glucose monitoring system. The glucose measurements are separated by a time interval. The method also includes receiving patient information at the data processing device and selecting a subcutaneous insulin treatment from a collection of subcutaneous insulin treatments. The selection is based on the glucose measurements and the patient information. The selection includes one or more of a subcutaneous standard program, a subcutaneous program without meal boluses, a meal-by-meal subcutaneous program without carbohydrate counting, a meal-by-meal subcutaneous program with carbohydrate counting, and a subcutaneous program for non-diabetic patients. The method also includes executing, using the data processing device, the selected subcutaneous insulin treatment.

Abstract: A method includes receiving glucose data of a patient at a glucometer having a display. The glucose data includes a glucose measurement measured by the glucometer and a glucose time associated with the glucose measurement. The method also includes obtaining patient information associated with the patient that includes a target blood glucose for the patient and a correction factor. The method also includes when the glucose measurement of the patient exceeds the target blood glucose for the patient, calculating a correction dose of insulin based on the glucose measurement of the patient, the target blood glucose for the patient, and the correction factor. The method also includes displaying the correction dose of insulin on the display of the glucometer.

Abstract: A method of administering insulin includes receiving blood glucose measurements of a patient at a data processing device from a glucometer. Each blood glucose measurement is separated by a time interval and includes a blood glucose time associated with a time of measuring the blood glucose measurement. The method also includes receiving patient information at the data processing device and selecting a subcutaneous insulin treatment for tube-fed patients from a collection of subcutaneous insulin treatments. The selection is based on the blood glucose measurements and the patient information. The subcutaneous insulin treatment program for tube-fed patients determines recommended insulin doses based on the blood glucose times. The method also includes executing, using the data processing device, the selected subcutaneous insulin treatment.

Abstract: A method of administering insulin includes receiving blood glucose measurements of a patient at a data processing device from a glucometer. Each blood glucose measurement is separated by a time interval and includes a blood glucose time associated with a time of measuring the blood glucose measurement. The method also includes receiving patient information at the data processing device and selecting a subcutaneous insulin treatment for tube-fed patients from a collection of subcutaneous insulin treatments. The selection is based on the blood glucose measurements and the patient information. The subcutaneous insulin treatment program for tube-fed patients determines recommended insulin doses based on the blood glucose times. The method also includes executing, using the data processing device, the selected subcutaneous insulin treatment.

Abstract: A method of administering insulin includes receiving subcutaneous information for a patient at a computing device and executing a subcutaneous outpatient program for determining recommended insulin dosages. The subcutaneous outpatient program includes obtaining glucose data of the patient, aggregating glucose measurements to determine a representative aggregate glucose measurement associated with at least one scheduled glucose time interval, and determining a next recommended insulin dosage for the patient based on the representative aggregate glucose measurement and the subcutaneous information. The method also includes transmitting the next recommended insulin dosage to administration device associated with the patient.

Abstract: A method of administering insulin includes receiving scheduled glucose time intervals and obtaining glucose data of a patient that includes glucose measurements, glucose times, and insulin dosages previously administered by the patient. The method also includes applying a set of filters to identify which of the glucose measurements associated with at least one of the scheduled time intervals are usable and which of the glucose measurements associated with the at least one scheduled time interval are unusable. The method also includes aggregating the glucose measurements associated with the at least one scheduled time interval identified as usable to determine a representative aggregate glucose measurement and determining a next recommended insulin dosage for the patient based on the representative aggregate glucose measurement and the insulin dosages previously administered by the patient.