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

要旨

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.

受賞
Honorable Mention
著者
Brenna Li
University of Toronto, Toronto, Ontario, Canada
Noah Crampton
University of Toronto, Toronto, Ontario, Canada
Thomas Yeates
University of Toronto, Toronto, Ontario, Canada
Yu Xia
University of Toronto, Toronto, Ontario, Canada
Xirong Tian
University of Toronto, Toronto, Ontario, Canada
Khai Truong
University of Toronto, Toronto, Ontario, Canada
DOI

10.1145/3411764.3445172

論文URL

https://doi.org/10.1145/3411764.3445172

動画

会議: CHI 2021

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2021.acm.org/)

セッション: Clinical Support

[A] Paper Room 07, 2021-05-12 17:00:00~2021-05-12 19:00:00 / [C] Paper Room 07, 2021-05-13 09:00:00~2021-05-13 11:00:00
Paper Room 07
11 件の発表
2021-05-12 17:00:00
2021-05-12 19:00:00
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