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Fitbit, Scripps, and Stanford Announce Wearables Research Project

Can we track infectious diseases with smart device data?
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Francis Scialabba

• less than 3 min read

TOPICS: AI / AI Industry Use Cases / AI in Healthcare

Your loyal wrist lieutenant may soon be moonlighting as an infectious disease field researcher.

Fitbit, the Scripps Translational Research Institute, and the Stanford University School of Medicine recently announced a research initiative to detect and track infectious diseases using data from wearables. That's not a trivial task—the standard wearable collects 250,000 data points a day, per a Stanford genetics professor.

  • In January, Scripps published research showing it could accurately predict flu hotspots quicker than the CDC using 47,000 Fitbit users' anonymized data. Regionally, clusters of elevated resting heart rates corresponded with a higher concentration of patients with flu-like infections.

In other smart news

A few weeks ago, the German government launched an opt-in smartwatch "data donation" app to monitor the coronavirus's spread and assess the effectiveness of containment policies. And smart thermometer maker Kinsa has said its temperature data can identify COVID-19 hotspots faster than the CDC.

Zoom out: Though these data trails ≠ ironclad health signals, they could provide extra visibility into COVID-19's spread.

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Ryan Duffy

Tech Brew

Tech Brew breaks down the biggest tech news, emerging innovations, workplace tools, and cultural trends so you can understand what's new and why it matters.

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