Perception and Knowledge of Hospital Workers Toward Using Artificial Intelligence: A Descriptive Study

This study aims to assess the perception and knowledge of hospital workers toward using artificial intelligence (AI) in healthcare in Qatar, exploring the potential implications of AI integration in clinical settings.

A descriptive cross-sectional study was conducted from January 1, 2023, to January 31, 2024, involving healthcare workers (HCWs) from various departments across four leading hospitals affiliated with Hamad Medical Corporation (HMC) in Qatar. A convenience sampling method was used to recruit participants, and data were collected via an anonymous online questionnaire distributed through email and WhatsApp, with hard copies provided as needed. The questionnaire covered demographic information, perception, and knowledge of AI. The data were analyzed using STATA 17.0, with significance set at p < 0.05.

The study included 902 HCWs, with a gender distribution of 47.6% female and 52.4% male. Most participants were from Asia (50.8%), with 42.7% aged between 35 and 44 years. Most participants were nurses (54.9%), followed by allied health professionals (20.7%), pharmacists (12.2%), and physicians (11.0%). A significant portion of participants (59.8%) reported no prior experience with AI. However, 56.1% felt somewhat comfortable using AI in medical practice, and 72% believed that AI would improve the future of healthcare. Despite this optimism, 81.7% had not yet utilized AI in their practice, though 85.4% expressed a desire to learn more about AI models.

The study reveals a positive perception and moderate knowledge of AI among HCWs in Qatar. However, the actual use of AI in clinical practice remains limited. There is a clear need for targeted educational programs to enhance AI proficiency and confidence among healthcare professionals, potentially improving patient outcomes and clinical efficiency. Further research should explore the barriers to AI adoption and develop strategies to facilitate its integration into healthcare systems.