Health

 

Health

As Digitalisation is hitting the health sector, data accumulates in exponential measure in all corners of the health industry. The problem is not getting the data, but getting the context of the data at the time it was generated, and putting this context into perspective, make it accessible for post processing. Here, having a data model that can explain itself, having meta data in the very data stream, is important. AT’s Zeta Health solution is just one example of how to design a consistent data model from sensor to cloud that can evolve with time and with the applications: Zeta is completely agnostic of a specific use, and has the ability to even configure the sensors for a specific use, for each sampling session.

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