Artificial intelligence-assisted scribing in dermatology

Summary: Abstract Body: Artificial intelligence (AI) assisted scribing, utilizing advanced natural language processing and automatic speech recognition have evolved to generate structured and accurate clinical notes from medical encounters. Additionally, these tools can help with duties traditional scribes may not perform, such as patient follow up, billing, and coding.1 We conducted a review of articles on PubMed using keywords “digital scribe,” “artificial intelligence scribe,” and “artificial intelligence scribe dermatology.” AI technologies have demonstrated high accuracy in diagnosing dermatological conditions, such as skin lesions and melanoma, which suggests that AI scribes could effectively document these findings during clinical encounters. The use of AI in dermatopathology has shown promise in improving diagnostic workflows and supporting education and research. Moreover, AI scribes can enhance teledermatology by facilitating accurate and timely documentation, which is crucial for remote consultations. A pilot study using Dragon Ambient eXperience in a dermatology clinic demonstrated a significant reduction in time spent in EMRs from 90.1 minutes to 70.3 minutes, and a possible saving of $13,000 per year compared to an in-person scribe.2 AI scribes have been demonstrated to save documentation time and help with more accurate charting, however multi-center studies with larger sample sizes are necessary. Research specifically in dermatology is scarce, and the potential integration of visual libraries, such as VisualDx, to assist with diagnosis or patient education should be further explored. 1. Young AT, Xiong M, Pfau J, Keiser MJ, Wei ML. Artificial Intelligence in Dermatology: A Primer. J Invest Dermatol. 2020;140(8):1504-1512. doi:10.1016/j.jid.2020.02.026 2. Cao DY, Silkey JR, Decker MC, Wanat KA. Artificial intelligence-driven digital scribes in clinical documentation: Pilot study assessing the impact on dermatologist workflow and patient encounters. JAAD Int. 2024;15:149-151. doi:10.1016/j.jdin.2024.02.009 Vera Wang¹, Gregory Pecchia¹, Andre Aabedi¹ 1. Western University of Health Sciences, Pomona, CA, United States. Clinical Research: Interventional Research