Physician burnout has become a global issue, driven by work overload, an imbalance between time spent at home and on the job, and general career dissatisfaction. Radiologists have exhibited higher rates of burnout when compared to other medical specialties, previous research has shown.
They utilized the National Center for Quality Control of Radiology network, which operates a system of surveillance across mainland China. They selected 1,143 hospitals and enrolled 1 to 5 radiologists from each. Of the study sample, 3,017 radiologists regularly or consistently used AI in practice. This group was generally younger in age, more likely to be female and had higher educational levels. The weighted prevalence of burnout was significantly higher in the AI group (40.9%) when compared with the rest (38.6%).
AI may further exacerbate these challenges by diminishing opportunities for peer collaboration and patient interaction, while fears of job displacement and uncertainties surrounding AI use heighten stress. The healthcare community has not yet learned how to effectively work with AI to harness the power of AI to reduce burnout,” Farid Ghareh Mohammadi, PhD, and Ronnie Sebro, MD, PhD, concluded. The nuances of human-machine interaction are still in its infancy, and until we are more effective at AI will not be a panacea to reduce radiologist burnout.
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