Interpretive Risk in AI-Generated Patient-Facing Medical Content

Generative AI is now routinely used to draft patient-facing medical content, from educational articles to treatment overviews. While these tools can improve efficiency, they also introduce a less visible category of risk that is not captured by factual or regulatory review alone.

This white paper explains how interpretive risk arises in AI-generated patient communication—situations in which content is factually correct, yet its tone and framing lead patients toward misleading conclusions about certainty, applicability, or next steps.

Through practical examples, it clarifies why managing this risk depends on professional editorial judgment rather than automation or better prompts.

Download the full white paper:

Interpretive Risk in AI-Generated Patient-Facing Medical Content: Managing Meaning in AI-Assisted Patient Communication