The one issue that persist with any manipulated data output is trust.
In an interesting article I read recently, published by Caltech Science Exchange, the question of Trust came in in context of AI. (Can we trust artificial intelligence)
According to this author, one of the big impactful events influencing trust is Data and amongst other issues, the Bias it contains. And their fix, make sure every data set used to answer any question is scrutinized to determine its ‘motivation, composition, collection process, recommended uses and so on’
Essentially, moving back into the safety of single version of the data truth will show us the picture of whence our intelligence is derived.
In other words, if you want trust, we need to build a world where even under data torture and/or duress, this singular data version will provide repeatable, reliable ‘truths’ if the same questions are asked by whoever.
SAS CAR lets you easily integrate large and diverse data sets such as electronic data capture (EDC) systems, in-house clinical data management systems (CDMS), labs and contract research organizations (CROs).
The CAR Solution from SAS is helping you trust your version of the truth. Some of its primary features includes but are not limited to:
Yes, SAS Clinical Acceleration Repository (CAR) is open and cloud native.
With all said and done, if you remember only three things about SAS CAR it is this:
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Come and ask for a Demo, give us a try, this may be the game changer you have been seeking.
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