The Problem
Individual practitioners carry the same intelligence risk as enterprise organizations. They do not carry the same infrastructure.
Every clinical decision, protocol recommendation, and formulary choice rests on intelligence. The quality of that intelligence — whether it has been verified, whether its sources are traceable, whether it accounts for regulatory shifts that occurred in the last 72 hours — determines exposure.
Enterprise teams address this with dedicated intelligence operations. Individual practitioners address it with general-purpose AI tools that hallucinate clinical data at documented rates, with no source verification and no accountability chain.
The gap between what is known and what is verified is the risk layer most practitioners are operating within. It is unpriced, unmeasured, and increasingly consequential.