Using Natural Language Processing to Explore Patient Perspectives on AI Avatars in Support Materials for Patients With Breast Cancer: Survey Study

Abstract

This study demonstrates the success of NLP techniques in efficiently generating insights into patient feedback related to generative AI educational content. Combining NLP methods resulted in clear visuals and insights, enhancing the understanding of patient feedback. Analysis of free-text responses provided clinicians at Hull University Teaching Hospitals NHS Trust with deeper insights than those obtained from quantitative Likert scale responses alone. Importantly, the results validate the use of generative AI in creating patient educational videos, highlighting its potential to address the challenges of costly video production and the limitations of traditional, often overwhelming educational leaflets. Despite the positive overall feedback, negative comments focused on the technical aspects of the AI avatar, indicating areas for improvement. We advocate that patients who receive AI avatar explanations are counseled that this technology is intended to supplement, not replace, human health care interactions. Future investigations are needed to confirm the ongoing effectiveness of these educational tools.

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