Patient Perceptions on the Use of Artificial Intelligence in Creating Clinical Research Documents: Survey Study

Area of Science:

• Health Informatics
• Artificial Intelligence in Healthcare
• Clinical Research Communication

Background:

• Generative artificial intelligence (AI) is increasingly used by pharmaceutical companies for patient-facing clinical research documents.
• Concerns exist regarding AI's impact on document accuracy, quality, and patient trust.
• Understanding patient perceptions of AI-generated content is crucial for healthcare decision-making.

Purpose of the Study:

• To assess patient familiarity and experience with AI.
• To evaluate patient confidence in AI capabilities for generating clinical research documents.
• To determine patient trust in research organizations utilizing AI for document preparation.

Main Methods:

• An online survey was administered to patients in Europe and the United States.
• Assessed patient familiarity with AI, trust in research organizations, and trust in AI-generated clinical research documents.
• Investigated the perceived importance of human involvement and transparency in AI use.

Main Results:

• 63.6% of respondents had prior AI experience, with 74.9% reporting familiarity.
• Patient trust in clinical trial documents increased with human oversight; lowest for AI-only (12.3%) and highest for human-only (39.1%) creation.
• 95.0% deemed human involvement essential, and 62.4% prioritized transparency in AI usage.

Conclusions:

• Patients exhibit high familiarity and confidence in AI but emphasize the necessity of human involvement.
• Transparency regarding AI use in public-facing documents is highly valued by patients.
• Maintaining patient trust requires a transparent integration of AI with significant human oversight.