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The Great Debate: Using AI in Patient-Facing Materials
Session Chair(s)
Regina Lynn Preciado
VP, Content Strategy Solutions
Content Rules, Inc., United States
Artificial intelligence is influencing how pharmaceutical companies plan to develop patient-facing materials (promising faster production, improved readability, and more personalized education) —while also raising questions about accountability, empathy, trust, bias, and accuracy. In this “Great Debate” session, two industry presenters will offer contrasting perspectives on whether AI should directly generate or refine patient communications and will share practical examples of technologies being used today. A patient advocate will ground the discussion in real-world needs and expectations, helping participants leave with actionable guardrails for adopting AI responsibly and keeping patients at the center.
Learning Objective : Discuss the role of AI in patient-facing materials and practical guardrails; Identify key benefits and limitations of AI-enabled communication workflows in the pharmaceutical industry; Assess ethical and trust considerations for AI-influenced patient communications—such as transparency, bias, inclusivity, empathy, and the potential for misinformation—through both industry and patient-advocate lenses.
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