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Understanding the data flow using ROOK
Understanding the data flow using ROOK

In this article, we delve into the data flow that seamlessly connects wearable devices to the client.

Jonas Ducker avatar
Written by Jonas Ducker
Updated over a week ago

In this article, we delve into the intricacies of the data flow that seamlessly connects wearable devices to the client. This journey begins with the user's consent to share their health data, ensuring that privacy and security remain paramount.

Data Acquisition - Capturing Health Insights from Wearables

The foundation of our data flow lies in data acquisition, where we meticulously gather health metrics from a variety of wearable devices, such as smartwatches, fitness trackers, and heart rate monitors. These devices act as our trusted companions, providing us with a comprehensive and granular view of the user's health status.

Data Processing - Harmonizing Data from Diverse Sources

As data streams from multiple sources, ROOK intelligently handles the task of harmonizing, standardizing, and normalizing the information. This ensures that data from diverse devices and platforms is consistent and comparable, enabling clients to receive data organized into three key pillars: Physical Health, Sleep Health, and Body Health. This structured approach ensures that the client has all the information related to a specific area of health readily available to make informed decisions.

Data Transmission - A Transparent Data Transmission Process

Data seamlessly flows between ROOK and the client. Clients receive consolidated data via a secure webhook configured in their developer portal, eliminating the need for them to navigate complex technical details. This transparency empowers clients to focus on what matters most โ€“ understanding and utilizing their health data to make informed decisions and improve their overall well-being.

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