The concept of remote monitoring in diabetes management is increasingly discussed by Accountable Care Organizations (ACOs), capitated health systems, and payers as a tool for improving quality of patient care while lowering costs.
mHealth solutions that leverage data from patients’ existing diabetes devices can facilitate broader diabetes population management and remote monitoring; however, little substantive research has been conducted to understand the value of mHealth-driven clinical interactions on patient outcomes in diabetes.
We report here on the results of a pilot using Glooko, an mHealth and diabetes population management platform, for use in remote management of an adult, Type 2 diabetes population experiencing glycemic control issues.
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