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Fitbit will use Google's Cloud services and Healthcare API to build out new digital health-related and wearables offerings for consumers, as well as care management and coaching professionals.

"Over the past decade, we have built an incredible foundation as the leading wearables brand, helping millions of people around the world make lasting behaviour changes that improve their health and wellness through fun and engaging experiences", James Park, cofounder and CEO of Fitbit, said in a statement.

Fitbit's wearables are about to get a lot smarter.

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Fitbit has sold some 76 million devices and has an active user base of 25 million. Under the deal, Fitbit will move to Google's new Cloud Healthcare API and Google Cloud Platform. Although Twine has EMR integration, Fitbit's collaboration with Google will give it another way to connect user data with electronic medical records, a Fitbit spokeswoman said in an email. Fitbit and Google also plan to examine how they can use the data to help people manage chronic conditions such as diabetes and hypertension.

Fitbit's collaboration with Google Cloud follows other healthcare partners since its launch at HIMSS in March including M*Modal, Lahey Health, Cleveland Clinic, and Rush University Medical Center.

On Google's end, the deal comes after partnerships with medical facilities such as the Stanford School of Medicine. Fitbit's ability to contribute data to the API is a win for both companies.

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Part of Google's vision, according to Moore, "is to transform the way health information is organized and made useful", which he believes will be achieved by this collaboration. Google Cloud provides Fitbit with next-generation cloud services and engineering support, allowing Fitbit to scale faster. The API and Cloud Platform are HIPAA compliant.

While the announcement came with promises to "innovate and transform the future of wearables", Pellegrini and a Fitbit representative were hesitant to describe the specifics of Google's potential impact on the former's flagship products outside of the possibility of further OS and software refinements.

Ultimately, the end goal for Fitbit is for the platform to help train machine learning models to predict and identify earlier diagnoses and potential health problems.

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