User-Centered Assessment of MRI Equipment Flexibility, Workspace Adequacy, User Interface Usability, and Technical Proficiency

The effective operation of magnetic resonance imaging (MRI) systems relies on physical interactions with complex imaging environments, equipment, and user interfaces (UIs). However, there is limited empirical data evaluating how physical interactions with MRI equipment and accessories, workspace configuration, MRI UI design, and technical proficiency influence clinical workflow.In this study, a cross-sectional survey was conducted among MRI end-users, across public and private health facilities (<i>n</i> = 13), using a structured questionnaire to assess demographics, patient positioning and equipment handling, MRI workspace adequacy, interface usability (guided by Nielsen's heuristics), and self-reported MRI skill proficiency.The predominant field strength of scanners in current use was 1.5T. General Electric was the most frequently used MRI scanner brand. Most respondents received their MRI training from nonvendor sources-such as academic institutions or peer-based instruction-rather than directly from equipment manufacturers. High ease-of-use ratings were reported for patient positioning and equipment handling tasks. Workspace adequacy was mostly rated as very adequate to highly adequate. Computed Tomography-experienced users showed moderate-to-high proficiency in MRI pulse sequencing and image optimization. However, lower proficiency was noted in quality assurance and physiologic monitoring. Help documentation within the MRI interface received the lowest usability scores. No significant differences in usability or proficiency were found between those trained by vendors versus nonvendors (<i>U</i> = 8.5-15.0; <i>p</i> = 0.376-0.921).Opportunities exist to enhance clinical workflow and patient throughput by refining error-handling features, improving support documentation, reinforcing ongoing professional development, and re-evaluating training delivery by incorporating iterative, multimedia-based learning modules and regular postinstallation refresher sessions. End-user input in UI design and user feedback analysis should be prioritized to improve system usability and clinical efficiency.