Zepp Health provides better data for population health and research

Zepp Health finished 2020 with 38 million active users, a 24% increase from 2019.  Health data collected from wearables is unique, providing granularity, frequency and longitude that is not available from claims or EMR data. 

The data collected from users can have tremendous value for medical researchers and healthcare providers, as well as for population health managers such as insurers, employers and wellness program providers. One of the unique aspects of Zepp Health’s data is that all of the company’s devices, from the least to most expensive, use the same sensor array and algorithms, which provides a data consistency not available from many other developers.

In compliance with our data privacy policy, we offer business use of various sets of the data we have compiled. User data may be individually identified or de-identified, depending upon the application, the usage agreement with the customer, and agreement with users.  For example, it is common for users enrolled in a wellness program to opt-in to grant access of their personal data to the program manager. 

As one example, PAI Health , an independent subsidiary in Canada, developed a robust, heart health score known as Personal Activity Intelligence that has proven to be a strong predictor of longevity, boasting over 16M users globally.
In 2020, Prudential Corporation Asia agreed to include the PAI Score and system into Prudential’s Pulse digital health app to be offered in 11 countries across Asia. 

PAI Health provides additional value beyond traditional tools for informing underwriting decisions

Also in 2020, global reinsurance company Gen Re completed a study which concluded that PAI Health analytics provided additional value beyond traditional tools for informing underwriting decisions. Although the market for data analytics is more mature in the U.S., these services are still very nascent in many other parts of the world.

At the end of 2020, Zepp Health had partnerships with 20 independent research laboratories, hospitals, pharmaceutical companies and universities to analyze data to develop algorithms that can detect health conditions, monitor certain conditions or understand the effects of drugs, treatments, or health or exercise programs. Some of these research programs may turn into commercial applications that the company may later jointly pursue with these partners.