This study examines AI information literacy among healthcare professionals and identify differences across professional roles. An online survey was administered to 390 healthcare professionals including 22.3% medical doctors, 42.1% nurses, and 35.6% health professionals. AI information literacy was measured using the AI Information Literacy Scale (AILIS), which captures four dimensions: process/create, assess, retrieve, and ethics. Findings indicated that across AILIS dimensions, participants reported the greatest confidence in retrieving information with AI and the least confidence in critically assessing AI-generated outputs. Medical doctors scored significantly higher than nurses and health professionals on process/create and retrieve. Across all four regression models, self-perceived understanding of how AI tools work was the strongest predictor, and the models explained between 27.3% and 48.3% of the variance in AI information literacy dimensions. Age showed small negative associations in most models. AI information literacy among healthcare professionals appears multidimensional and uneven, with relatively lower confidence in critical assessment. GenAI integration in healthcare should therefore be approached as a literacy and training challenge, with particular attention to evaluation skills and reflective understanding of AI outputs.