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Automating Clinical Documentation with Digital Scribes: Understanding the Impact on Physicians

Brenna Li,N. Crampton,T. Yeates,Yu Xia,Xirong Tian,K. Truong

Published 2021 in International Conference on Human Factors in Computing Systems

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.

PUBLICATION RECORD

  • Publication year

    2021

  • Venue

    International Conference on Human Factors in Computing Systems

  • Publication date

    2021-05-06

  • Fields of study

    Medicine, Computer Science

  • Identifiers
    DOI 10.1145/3411764.3445172
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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