The double-edged sword of generative AI in dermatology: a multi-component cross-sectional study on physician burnout, patient satisfaction, and communication quality - Report - MDSpire
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The double-edged sword of generative AI in dermatology: a multi-component cross-sectional study on physician burnout, patient satisfaction, and communication quality
Clinical Report: The Dual Impact of Generative AI in Dermatology
Overview
This study explores the effects of generative AI on clinician burnout, patient satisfaction, and communication effectiveness in dermatology.
Background
The integration of generative artificial intelligence (GenAI) in healthcare, particularly in dermatology, is rapidly evolving. This study addresses the gaps in existing research regarding the effects of GenAI on both physician and patient experiences.
Data Highlights
Measure
AI Condition
No AI Condition
P-Value
Communication Satisfaction (Patient)
18.46 ± 2.48
15.17 ± 2.43
< 0.001
Information Gathering Score
3.175 (95% CI 0.605 to 5.745)
-
-
Information Giving Score
5.675 (95% CI 3.432 to 7.918)
-
-
Structural Efficiency Score
5.575 (95% CI 3.751 to 7.399)
-
-
Total Score
2.490 (95% CI 1.374 to 3.606)
-
-
Key Findings
GenAI use frequency is associated with lower emotional exhaustion in physicians (r_s = -0.692, p = 0.002).
Higher communication self-efficacy is linked to increased GenAI use frequency (r_s = 0.848, p < 0.001).
Patients using GenAI reported higher communication satisfaction than non-users (p < 0.001).
AI-assisted conditions yielded higher scores in information gathering, information giving, and structural efficiency.
Humanistic care showed a negative effect in the AI-assisted condition, though not statistically significant.
Clinical Implications
Clinicians should consider the role of GenAI in communication efficiency while being mindful of maintaining humanistic care.
Conclusion
This study indicates the need for careful integration of GenAI in dermatology to maintain humanistic care.
