Podcast & media
What healthcare can learn from the wearables revolution
Marco Benítez, CEO of ROOK, explains how wearables are moving into preventive care and why data quality and standardization matter for healthcare AI.
In this episode, Marco Benítez, CEO and founder of ROOK, discusses how wearables have moved beyond fitness tracking toward health use cases that generate continuous, real-world data. He covers why accuracy, validation, and data quality matter for healthcare adoption, why standardization is needed for trustworthy AI, and what healthcare can learn from engagement in fitness and longevity platforms.
What topics does the episode cover?
- How wearables evolved from fitness devices toward FDA-cleared and validated health tools
- Why accuracy, validation, and data quality matter for healthcare adoption
- How continuous, 24/7 behavioral data can reveal patterns associated with health
- Why data standardization matters for trustworthy AI in healthcare
- What healthcare can learn from engagement models in fitness and longevity platforms
- How connecting fitness, healthcare, and insurance can drive innovation in preventive care
Wearable data supports these programs but does not replace clinical judgment, and health outcomes depend on how each organization uses it. Related reading: why wearable data is messy and how to normalize it.
To see how the integration works, read the ROOK developer documentation.
Written byDaniel MasDigital Marketing Lead
