Leveraging Generative AI to Provide Personalized Diabetes Care Management with Richard Mackey CCS

Richard Mackey, Chief Technology Officer at CCS, focuses on the challenges faced by patients with diabetes and multiple morbidities, as well as their healthcare providers, in managing their conditions.  CCS has developed the Living Connected approach to connect patients, providers, and payers, and promotes the role that durable medical equipment companies and pharmacists can play in supporting patients and doctors. Recognizing that patients are more than their disease, CCS addresses social determinants of health to provide education and care coordination.

Richard explains, "CCS is a company that is in the business of chronic care management. We focus on delivering products and services to patients with a variety of chronic care conditions. But foremost among these for us is diabetes. We're very focused on being able to provide solutions and services for folks who are managing their diabetic condition." 

"On the machine learning side, we have a tremendous amount of data and information about how our patients will understand the devices they might be using. For example, continuous glucose monitors or CGMs are an important standard of care that we work with a lot of patients across the US to equip them, find the right device, help them begin using that device, and best understand what it can do and how it can help them make better decisions to manage their conditions."

"We might talk to the patient once or twice a month. We might be talking to them multiple times within a quarter. In some cases, we're interacting with a patient more often than others in the ecosystem, maybe more often than even their physician in terms of the number of interactions per month or period, even their health insurance provider. So all that interaction helps give us information and data to draw insights on what those patients might need, what's most important to them, and how they interact with us. We can also work with a variety of other sources to bring information together. And by using the machine learning tools that we've developed, we can understand things that are important to them. So, it might be around the product or specific information related to the plan or the payer they're working with."

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