Properly structured real-world evidence datasets are in great demand by product manufacturers, payers, generative AI learning models and other healthcare constituencies.  They represent broader and more sustained regulatory and IP value than registries or even narrowly defined RCT datasets.  RWE datasets therefore represent substantial and sustained monetization opportunities to those provider groups which develop and own them.

Creating a licensable RWE dataset requires several key components.  Traditionally, these requirements have represented expense, complexity, administrative burden, and substantial time commitments.  These challenges have prevented smaller hospitals and provider groups from developing — and monetizing — RWE datasets.  However, this need and should not be the case, especially because clinical groups represent the richest source of real-world evidence.

Circles eliminate these challenges, allowing provider groups, regardless of specialty, to convert their everyday clinical data into substantial and sustained financial value.

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