Richard Mackey is the Chief Technology Officer at CCS, a company that provides chronic care management services focusing on diabetes. CCS uses machine learning and generative AI to analyze patient data from continuous glucose monitors and patient interactions to predict potential issues and proactively provide personalized information and support. CCS works with the patient's healthcare provider to support the prescribed care plan, improve adherence to care plans, and improve outcomes.

Richard explains, "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 provider, their health insurance provider, as an example. So all that interaction helps give us information and data to take insights on what those patients might need, what's most important to them, how they interact with us. We also can 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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