In Canada, a Specialist Care Provider Harnesses Digital Health to Advance Diabetes Management | Healthcare Informatics Magazine | Health IT | Information Technology Skip to content Skip to navigation

In Canada, a Specialist Care Provider Harnesses Digital Health to Advance Diabetes Management

December 8, 2016
by Heather Landi
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Diabetes affects 415 million people around the world, or roughly one in eleven adults, and is expected to impact 642 million people by 2040
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“There are a number of educational modules and activities that the patients will complete over the course of the program and the program will track their activities, including exercise and the steps they take, and all that information is loaded into the platform and recorded,” Angelo says. “For patients diagnosed with diabetes, they will be taking their blood glucose levels using a blue tooth-enabled glucometer, and for those looking to lose weight, they will use a wireless scale and it’s automatically uploaded into the platform. So, the platform is incorporating all the patient reported data in between visits to give the care team a better sense of how the patient is doing, so they can intervene sooner rather than later.”

Angelo continues, “It’s really a tool for the patient to be able to help them to get more insight into their condition and understand how certain activities can impact their condition, and also share that information with care team. The goal is to work with the patient to bring about a positive behavior change and empower the patient to develop new habits and behaviors.”

LMC also conducts diabetes clinical research and is one of the largest private diabetes research networks in North America, with more than 120,000 patients in its database and 24,000 new patients added each year. Angelo says the digital platform will support LMC’s ongoing effort, as a research network, to collect, measure and analyze outcomes data to drive clinical decision-making and future research in diabetes and endocrinology.

“By combining the EHR data with patient-reported data in between visits, we can start understanding how patient behavior can impact health outcomes and how interventions are affecting their health outcomes. By pulling all that data together, it will help data scientists analyze that data to find which interventions improve health outcomes,” Angelo says.




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