Artificial intelligence scribing in dermatology

Abstract

Artificial intelligence (AI) scribing tools are transforming clinical documentation by automating note-taking through speech recognition and natural language processing. In dermatology, AI scribes offer the potential to improve efficiency, reduce physician burnout, and enhance the quality of patient care with diagnostic integration and precise visual and descriptive documentation. However, challenges remain in the form of transcription errors, integration with electronic health records, cost barriers, and concerns over data privacy. Additionally, dermatology-specific AI scribes are significantly under-researched, with only one early pilot study demonstrating promising benefits. The successful adoption of AI scribes in dermatology depends on refining language models, ensuring regulatory compliance, and tailoring systems to meet specialty-specific needs such as high-quality image documentation and description. Overall, AI scribing represents a valuable augmentative tool with the potential to reshape dermatologic care when implemented thoughtfully and ethically.

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