Accu-Chek Connect Diabetes Management System

• Easily and automatically transfer blood glucose data from the meter to your mobile device
• Access your data, see patterns and trends
• Conveniently calculate how much insulin is needed for meals with the built-in Accu-Chek Bolus Advisor
• Seamlessly share your data with your caregiver and healthcare team

To check which mobile devices are compatible with the Accu-Chek Connect app please click here:  www.accu-chek.co.za/dmapp

• Connects wirelessly to the Accu-Chek Connect app using Bluetooth^® Smart technology; blood glucose results are transferred immediately to the app, so you can share them with a caregiver, calculate a mealtime insulin dose, create graphs and more
• Easy testing for accurate blood glucose results in just 3 steps
• No coding – fewer testing steps
• Easy-to-read, backlit display
• Virtually pain-free lancing with the Accu-Chek FastClix lancing device¹
• Enhanced self-management features, such as customisable target ranges, last result feature, commenting capabilities and a detailed logbook².

A list of compatible mobile devices can be found here.

^1._{Kocher S, Tshiananga JKT, Koubek R. Comparison of lancing devices for self-monitoring of blood glucose regarding lancing pain. J Diabetes Sci Technol. 2009;3(5):1136–1143.}

^2._{Accu-Chek Performa Connect meter: data on file}

Download Manual

Easy to understand and interpret reports

Data visualisation helps with quick assessment of glycaemic control leading to more informed therapy choices.¹

• Easy to convert to a PDF for saving or for printing
• Quick snapshot of the patient’s blood glucose control
• Alert status
• Trend graph identifying in and out of range results

^1. _{Hinnen et al., Use of Diabetes Data Management Software Reports by Health Care Providers, Patients With Diabetes, and Caregivers Improves Accuracy and Efficiency of Data Analysis and Interpretation Compared With Traditional Logbook Data: First Results of the Accu-Chek Connect Reports Utility and Efficiency Study (ACCRUES). Journal of Diabetes Science and Technology, 9(2):293-301, 2014.}