Automating Clinical Documentation with Digital Scribes: Understanding the Impact on Physicians
Brenna Li, Noah Crampton, Thomas Yeates, Yu Xia, Xirong Tian, Khai N. Truong
Abstract
Recently, digital scribe systems have been gaining popularity as a possible work-around solution to the Electronic Medical Record (EMR) documentation burden that affects many physicians. The proposed system would automate the clinical summary physicians take by capturing and extracting the patient-physician conversation during the consultation. While promising in concept, how this system would apply to real-world use and its limitations are still not well understood. To examine these issues, we designed a digital scribe prototype to generate notes of different qualities ranging from the reality of current state-of-the-art technology to the potential of future implementations. We conducted a ”Wizard of Oz” study with 24 primary care physicians using our digital scribe prototype in 4 simulated medical encounters followed by a semi-structured interview. This exploratory study provides an understanding of physicians’ interaction with digitally scribed notes, their perceptions on note quality, their perceived workflow impact and several directions for improvements.
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Install the CLIlune papers fulltext c36ef490-87ba-481d-924f-750028a2c6b2Cited by top-tier papers3
- Beyond the Waiting Room: Patient's Perspectives on the Conversational Nuances of Pre-Consultation ChatbotsBrenna Li, Ofek Gross, Noah Crampton, Mamta Kapoor et al.CHI 2024 · 37 citations
- Constraints and Workarounds to Support Clinical Consultations in Synchronous Text-based PlatformsBrenna Li, Tetyana Skoropad, Puneet Seth, Mohit Jain et al.CHI 2023 · 16 citations
- Balancing Efficiency and Empathy: Healthcare Providers' Perspectives on AI-Supported Workflows for Serious Illness Conversations in the Emergency DepartmentMenglin Zhao, Zhuorui Yong, Ruijian Hannah Guan, Kai-Wei Chang et al.CHI 2026 · 2 citations
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