2025/09/07 by Mohamad‐Hani Temsah, Noura Abouammoh, Mohammed Alsatrawi +6 · 1 voice
Medicine · Health Professions · Computer Science · #Artificial Intelligence in Healthcare and Education #Healthcare cost, quality, practices #Machine Learning in Healthcare
paper · pdf · doi:10.1177/00099228251370556
openalex publication_date 2025/09/07 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
To optimize the deployment of Generative Artificial Intelligence in health care, it's essential for health care professionals (HCPs) to understand these technologies' capabilities and constraints. This study explores HCPs' initial impressions and experiences using ChatGPT, a Generative Pre-trained Transformer, in Pediatric Critical Care Units (PICUs). By conducting focus groups with a diverse set of HCPs, we aimed to assess their awareness, utilization, perceived benefits, and concerns about incorporating ChatGPT into their PICUs. The discussions highlighted three main themes: familiarity and usability of ChatGPT, its role in clinical and organizational tasks, and ethical concerns. While participants appreciated ChatGPT's user-friendliness and potential to expedite tasks and provide rapid information, they expressed concerns regarding data reliability, recency, and ethical implications. Despite these reservations, there is cautious optimism about integrating these tools in PICU, underscoring the need for vigilance and ongoing evaluation of novel health care-related implications as these technologies evolve.