Abbott Diabetes Care Inc.

Mani Gopal

Gary Alan Hayter

Mark Kent Sloan

Timothy Christian Dunn

Marc Barry Taub

Daniel Milfred Bernstein

Royce Cheng

Eric L Davis

Brittany K Bradrick

Todd Winkler

Erwin Satrya Budiman

Wesley Scott Harper

Howard A Wolpert

Steve Scott

Presented herein is a handheld analyte measurement device. The analyte measurement device includes one or more software applications to help the user manager their diabetes. Embodiments and descriptions of the various applications are provided below in conjunction with the handheld analyte measurement device.

Software applications residing on handheld analyte determining devices

Generally, methods, devices, and systems related to analyte monitoring and data logging are provided&#x2014;e.g., as related to in vivo analyte monitoring devices and systems. In some aspects, methods, devices, and systems are provided that relate to enable related settings based on an expected use of an in vivo positioned sensor; logging or otherwise recording analyte levels acquired or derived&#x2014;e.g., sample analyte levels more frequently than they are logged or otherwise recorded in memory; dynamically adjust the data logging frequency; randomly determine times of acquiring or storing analyte levels from the in-vivo positioned analyte sensors; and enable recording related settings when the system is operable.

Methods, devices, and systems related to analyte monitoring

An analyte measurement system includes one or more handheld analyte meters and/or measurement devices and a means for collecting data, preserving data integrity, and uniquely identifying patient data received from multiple sources. For example, provided herein is a means to uniquely identify patients and their data when the data is collected from one or more measurement devices. By providing a way to allow the patients to use multiple sources to collect data, the system described herein provides patients with more flexibility, which should encourage better compliance to protocols. Further, by having a way to uniquely identify patients' data without requiring a patient to only use one analyte meter, for example, data can be centralized and analysis can be done with more assurance that all of the patient's data is being considered in the analyses.

Systems and methods for aggregating analyte data

Data synchronization between two or more analyte detecting devices in a database

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Hillsborough, CA, United States of America

Mani Gopal