Enhancing Radiological Workflow Efficiency: Strategies, Technologies, and Implications

Abstract

Radiological imaging plays a critical role in modern healthcare, aiding in diagnosis, treatment planning, and monitoring of various medical conditions. However, the increasing volume of imaging studies has placed significant pressure on radiology departments, leading to challenges in workflow efficiency. This paper explores strategies and technologies aimed at enhancing radiological workflow efficiency. Through a comprehensive review of literature, this paper examines various approaches, including process optimization, utilization of artificial intelligence (AI), advanced imaging techniques, and integration of information systems. The implications of these enhancements on patient care, radiologist workload, and resource utilization are discussed. Finally, future directions and challenges in further optimizing radiological workflow efficiency are explored.