Artificial intelligence (AI) is poised to revolutionize radiology departments within the next decade, significantly influencing radiologists' workflows and enabling them to manage an increasing volume of complex examinations. A recent RSNA session tackled current inefficiencies faced by radiologists and offered strategies to optimize workflow while awaiting AI advancements. Recommendations reminiscent of practices from the 1990s included improving patient transfer protocols, providing thorough training for new radiologists, and standardizing data reporting to enhance communication with ordering physicians. Moreover, healthcare systems, such as Intermountain Healthcare, are developing best practice protocols to streamline operations across multiple facilities, emphasizing simplification and standardized documentation to boost efficiency. Additionally, the ergonomics of equipment like mice have been highlighted, with experts stressing the importance of selecting the right mouse for comfort and productivity. The discussion also noted that interruptions in reading rooms significantly disrupt radiologists' work, with some departments employing reading room assistants to mitigate these disturbances and enhance overall workflow. Overall, the session underscored the importance of adapting processes and technology to uplift radiologists' efficiency and job satisfaction amidst growing demands in the field.
Tue, 03 Mar 2026 12:04:59 GMT | healthcare-in-europe.com