Now available in beta for users in the United States, Health Assistant is designed to work in tandem with Samsung Health, according to a Tuesday (July 21) news release.
“With a holistic understanding of a user’s health, Health Assistant will connect user health information from Samsung Health’s five core pillars of wellness—sleep, activity, nutrition, mindfulness and vitals—and transform this data into meaningful, actionable insights, while explaining how each variable impacts the others,” the release said.
While there are many AI-powered health assistants available on the market, Samsung’s features can inform its larger ecosystem, said Dr. Hon Pak, the senior vice president who leads the digital health business, according to a Tuesday report by Bloomberg News.
Health Assistant uses Samsung’s personalized data engine, which combs devices for information like calendar events and travel schedules to tailor recommendations, Pak said in the report.
“With connected devices—that data, that awareness—will eventually inform how we go about engaging with users in a way that is more contextualized,” Pak said, per the report.
Eventually, the system will be able to suggest breathing exercises before stressful meetings or adjust sleep guidance if it sees the user has traveled outside their time zone, the report said.
The announcement came one day before Samsung is due to roll out its new product lineup. This week has already seen the South Korean company introduce its first credit card, in partnership with Barclays.
Meanwhile, the PYMNTS Intelligence report “Financial Services Pulls Ahead in the Enterprise AI Race” found that healthcare firms are putting AI to work first in places where employee pressure, patient demand and operational complexity meet.
The research looked at AI use in financial services and insurance, healthcare and medical, and media and advertising. It found that while each sector is embracing AI, healthcare’s pathway is distinct, focused more on targeted relief than widespread automation.
“Yet healthcare’s narrower deployment also suggests discipline,” PYMNTS reported June 16. “The sector is concentrating AI in areas where it can reduce friction now, then build toward broader transformation once data and system integration improve.”
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