Optimizing Radiology Reading Room Design: The Eudaimonia Radiology Machine

Radiologist and Radiology Practice Wellbeing: A Report of the 2023 ARRS Wellness Summit

In April 2023, the first American Roentgen Ray Society (ARRS) Wellness Summit was held in Honolulu, Hawaii. The Summit was a communal call to action bringing together professionals from the field of radiology to critically review our current state of wellness and reimagine the role of radiology and radiologists to further wellbeing. The in-person and virtual Summit was available free-of-cost to all meeting registrants and included 12 sessions with 44 invited moderators and panelists. The Summit aimed to move beyond simply rehashing the repeated issues and offering theoretical solutions, and instead focus on intentional practice evolution, identifying implementable strategies so that we as a field can start to walk our wellness talk. Here, we first summarize the thematic discussions from the 2023 ARRS Wellness Summit, and second, share several strategic action items that emerged.

Can incorrect artificial intelligence (AI) results impact radiologists, and if so, what can we do about it? A multi-reader pilot study of lung cancer detection with chest radiography

OBJECTIVE

To examine whether incorrect AI results impact radiologist performance, and if so, whether human factors can be optimized to reduce error.

METHODS

Multi-reader design, 6 radiologists interpreted 90 identical chest radiographs (follow-up CT needed: yes/no) on four occasions (09/20-01/22). No AI result was provided for session 1. Sham AI results were provided for sessions 2-4, and AI for 12 cases were manipulated to be incorrect (8 false positives (FP), 4 false negatives (FN)) (0.87 ROC-AUC). In the Delete AI (No Box) condition, radiologists were told AI results would not be saved for the evaluation. In Keep AI (No Box) and Keep AI (Box), radiologists were told results would be saved. In Keep AI (Box), the ostensible AI program visually outlined the region of suspicion. AI results were constant between conditions.

RESULTS

Relative to the No AI condition (FN = 2.7%, FP = 51.4%), FN and FPs were higher in the Keep AI (No Box) (FN = 33.0%, FP = 86.0%), Delete AI (No Box) (FN = 26.7%, FP = 80.5%), and Keep AI (Box) (FN = to 20.7%, FP = 80.5%) conditions (all ps < 0.05). FNs were higher in the Keep AI (No Box) condition (33.0%) than in the Keep AI (Box) condition (20.7%) (p = 0.04). FPs were higher in the Keep AI (No Box) (86.0%) condition than in the Delete AI (No Box) condition (80.5%) (p = 0.03).

CONCLUSION

Incorrect AI causes radiologists to make incorrect follow-up decisions when they were correct without AI. This effect is mitigated when radiologists believe AI will be deleted from the patient's file or a box is provided around the region of interest.

CLINICAL RELEVANCE STATEMENT

When AI is wrong, radiologists make more errors than they would have without AI. Based on human factors psychology, our manuscript provides evidence for two AI implementation strategies that reduce the deleterious effects of incorrect AI.

KEY POINTS

• When AI provided incorrect results, false negative and false positive rates among the radiologists increased. • False positives decreased when AI results were deleted, versus kept, in the patient's record. • False negatives and false positives decreased when AI visually outlined the region of suspicion.

Communication - a lost art?

The field of radiology has benefited greatly from the technological boom that has brought greater precision, efficiency and utilization amid an exponential growth in medical science. The downside is that the same technology that has allowed the field to grow is contributing to an erosion of interpersonal communication and connection with patients and referring physicians. Remote reading has displaced us from the communal reading room, where much interaction and teaching used to take place. The "invisible" radiologist must transcend these barriers in order to preserve and strengthen the role of radiology in medical care. With modest adaptation, radiologists can regain their identity as consultants, where they have the greatest chance to show their value and thwart the drive toward commoditization.

Optimizing radiologist productivity and efficiency: Work smarter, not harder

Radiologists' personal productivity and efficiency are critically important for both improving patient outcomes and protecting clinician well-being. There are several solutions that individuals can implement to improve personal productivity and efficiency in the radiology workroom. Strategies include understanding the psychology behind productivity, using personal productivity methodologies to accomplish daily tasks, and learning to modulate stress to optimize performance. Institutional infrastructure requirements include a robust departmental commitment to information technology and informatics, including universal log-in systems, internal websites, and dashboards. The workstation itself can be optimized by utilizing hanging protocols, customized keyboard shortcuts, hotkeys, advanced scripts, gaming mice, and other input devices. Personal devices like smartphones can be harnessed to maximize productivity by using online storage applications and radiology-specific applications to augment knowledge. Reading room layouts must be designed to minimize interruptions and workstations must consider ergonomics to prevent fatigue and strain. High-efficiency teams also need to be created to allow radiologists to delegate non-clinical tasks to reduce administrative burdens. Lastly, continued advances in artificial intelligence including the use of smart report templates will lead to substantial gains in radiologists' productivity and efficiency.

Burnout: A Mindful Framework for the Radiologist

Burnout, the outcome of prolonged stress or frustration, manifests as both mental and physical fatigue affecting over half of healthcare workers. This article will discuss the etiologies, problems, and potential solutions to burnout related issues that are impacting radiologists. Factors placing radiologists at risk for burnout as well the impact of burnout upon the radiologist, the department, staff, and patients they serve will also be discussed. An emphasis will also be placed upon recognition, solutions, and a collective response to burnout. Readers should be able to perform a self-assessment of their own risk for burnout and understand what can be done to dissolve and prevent burnout amongst their colleagues. In doing so, our hope is that radiologists will develop greater insight, awareness, and ultimately empathy for the unique challenges that others in the radiology community may face.