AI adoption among French oncology pharmacists: A national survey.

Published in Journal of oncology pharmacy practice : official publication of the International Society of Oncology Pharmacy Practitioners. Abstract: BackgroundLarge language model (LLM)-based generative artificial intelligence (AI) tools have rapidly entered clinical practice. In oncology pharmacy, a specialty marked by high technical complexity, strict regulatory constraints, and an expanding clinical role spanning cytotoxic compounding, antineoplastic prescription validation, clinical pharmacy activities (medication reconciliation, pharmaceutical consultations, patient education), and advanced therapy medicinal product management, AI adoption carries specific risks and opportunities that remain poorly documented, and no national data exist for France. No national survey has characterized AI knowledge, use, or professional expectations among French oncology pharmacists.MethodsCross-sectional, anonymous web-based survey of French Society of Oncology Pharmacy (SFPO) members, conducted from March 30 to April 26, 2026. The 23-item questionnaire covered respondent profile, AI knowledge and tool awareness, current use and institutional framework, task-specific priorities and expectations, and barriers and governance needs. Descriptive statistics were applied to quantitative items; open-text responses underwent thematic coding.ResultsOf 374 SFPO members, 78 responded (response rate 20.9%; completion rate 71.8%, n = 56), predominantly senior pharmacists (92.2%) in public hospitals (75.3%), with 41.6% reporting more than 10 years of oncology experience. AI adoption was nearly universal (94.7%); 50.7% used a tool at least several ...