Abstract: A method of operating a glucose test meter is provided. The method can be achieved by storing a plurality of glucose readings to a first memory of the test meter, each of the glucose readings having a time stamp and an order index, the time stamp comprising a date and a time when the glucose reading was performed, the order index indicating an order in which the plurality of glucose readings was saved to the first memory; determining whether successively saved glucose readings have time stamps in chronological order consistent with the order index; and indicating that the date and the time setting in the test meter is incorrect if there are successively saved glucose readings having time stamps inconsistent with the order index.

Abstract: A diabetes management system or process is provided herein that may be used to analyze and recognize patterns for a large number of blood glucose concentration measurements and other physiological parameters related to the glycemia of a patient. In particular, a method of monitoring glycemia in a patient may include storing a patient's data on a suitable device, such as, for example, a blood glucose meter. The patient's data may include blood glucose concentration measurements. The diabetes management system or process may be installed on, but is not limited to, a personal computer, an insulin pen, an insulin pump, or a glucose meter. The diabetes management system or process may identify a plurality of pattern types from the data including a testing/dosing pattern, a hypoglycemic pattern, a hyperglycemic pattern, a blood glucose variability pattern, and a comparative pattern.

Abstract: A diabetes management system or process is provided herein that may be used to analyze and recognize patterns for a large number of blood glucose concentration measurements and other physiological parameters related to the glycemia of a patient. In particular, a method of monitoring glycemia in a patient may include storing a patient's data on a suitable device, such as, for example, a blood glucose meter. The patient's data may include blood glucose concentration measurements. The diabetes management system or process may be installed on, but is not limited to, a personal computer, an insulin pen, an insulin pump, or a glucose meter. The diabetes management system or process may identify a plurality of pattern types from the data including a testing/dosing pattern, a hypoglycemic pattern, a hyperglycemic pattern, a blood glucose variability pattern, and a comparative pattern.

Abstract: A system and method are shown and described for outputting a customized health data report with minimal usage of a user interface.

Abstract: Various methods and systems to manage diabetes using data relating to testing compliance, bolus dosing, or cannula usage are described and illustrated.

Abstract: A system and method of detecting a flagged glucose concentration pattern with the use of medians having a common type of flag collected over discrete time periods so that whenever significant differences between the medians arise, the user or a caretaker of a diabetic user is notified.

Abstract: A diabetes management system or process is provided herein that may be used to analyze and recognize patterns for a large amount of blood glucose concentration measurements and other physiological parameters related to the glycemia of a patient. In particular, a communication medium is provided. The communication medium includes first, second, third, fourth and fifth display areas. The second through fifth display areas can be disposed in the first display area. The second display area has identification information of a patient. The third display area has a plurality of textual messages indicative of glycemic status of the patient. The fourth display area includes a chart indicative of a variability of the glucose concentration of the patient over a predetermined time period. Other messages can also be provided to ensure compliance of any prescribed diabetes regiments or to guide the patient in managing the patient's diabetes.

Abstract: A diabetes management system or process is provided herein that may be used to analyze and recognize patterns for a large number of blood glucose concentration measurements and other physiological parameters related to the glycemia of a patient. In particular, a method of monitoring glycemia in a patient may include storing a patient's data on a suitable device, such as, for example, a blood glucose meter. The patient's data may include blood glucose concentration measurements. The diabetes management system or process may be installed on, but is not limited to, a personal computer, an insulin pen, an insulin pump, or a glucose meter. The diabetes management system or process may identify a plurality of pattern types from the data including a testing/dosing pattern, a hypoglycemic pattern, a hyperglycemic pattern, a blood glucose variability pattern, and a comparative pattern.

Abstract: A diabetes management system or process is provided herein that may be used to analyze and recognize patterns for a large amount of blood glucose concentration measurements and other physiological parameters related to the glycemia of a patient. In particular, a method of monitoring glycemia in a patient may include storing a patient's data on a suitable device, such as, for example, a glucose meter. The patient's data may include blood glucose concentration measurements. The diabetes management system or process may be installed on, but is not limited to, a personal computer, an insulin pen, an insulin pump, or a glucose meter. The diabetes management system or process may identify a plurality of pattern types from the data including a testing/dosing pattern, a hypoglycemic pattern, a hyperglycemic pattern, a variability pattern, and a comparative pattern.

Abstract: A method of operating a glucose test meter is provided. The method can be achieved by storing a plurality of glucose readings to a first memory of the test meter, each of the glucose readings having a time stamp and an order index, the time stamp comprising a date and a time when the glucose reading was performed, the order index indicating an order in which the plurality of glucose readings was saved to the first memory; determining whether successively saved glucose readings have time stamps in chronological order consistent with the order index; and indicating that the date and the time setting in the test meter is incorrect if there are successively saved glucose readings having time stamps inconsistent with the order index.

Abstract: Methods and systems automating medical device data management are provided. The subject methods and systems are implemented by or include a software program loadable on a host system. The software program is configured for polling medical devices located within a detectable range of the host system; detecting a medical device; downloading data from the detected medical device to the host system; and generating one or more reports comprising at least some of the downloaded data; wherein the aforementioned steps are performed without user intervention.