Automating Clinical Documentation with Digital Scribes: Understanding the Impact on Physicians
Brenna Li, Noah Crampton, Thomas Yeates, Yu Xia, Xirong Tian, Khai N. Truong
摘要
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.
问问这篇 Paper
智能体会读完全文。
Lune 把这篇 Paper 索引到了每一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。
引用它的顶会 Paper3
- Beyond the Waiting Room: Patient's Perspectives on the Conversational Nuances of Pre-Consultation ChatbotsBrenna Li, Ofek Gross, Noah Crampton, Mamta Kapoor 等CHI 2024 · 被引用 37 次
- Constraints and Workarounds to Support Clinical Consultations in Synchronous Text-based PlatformsBrenna Li, Tetyana Skoropad, Puneet Seth, Mohit Jain 等CHI 2023 · 被引用 16 次
- 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 等CHI 2026 · 被引用 2 次
它引用的顶会 Paper1
相关 Paper
- AI Consent Futures: A Case Study on Voice Data Collection with CliniciansLauren Wilcox, Robin Brewer, Fernando DiazCSCW 2023 · 被引用 37 次
- MIE: A Medical Information Extractor towards Medical DialoguesYuanzhe Zhang, Zhongtao Jiang, Tao Zhang, Shiwan Liu 等ACL 2020 · 被引用 48 次
- Characteristics and Challenges of Clinical Documentation in Self-Organized Fast-Paced Medical WorkZhan Zhang, Karen Joy, Richard Harris, Sun Young ParkCSCW 2022 · 被引用 17 次
- Digitizing the Pre-consultation Experience: Impacts and Design RecommendationsBrenna Li, Liam of Bakar, Anna Kirik, Jiaqi Guo 等CHI 2026 · 被引用 2 次
- Explainable Notes: Examining How to Unlock Meaning in Medical Notes with Interactivity and Artificial IntelligenceHita Kambhamettu, Danaë Metaxa, Kevin Johnson, Andrew HeadCHI 2024 · 被引用 16 次
