Name
Title | ||
|---|---|---|
Automating Clinical Documentation with Digital Scribes: Understanding the Impact on Physicians |
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1145/3411764.3445172 | Conference on Human Factors in Computing Systems |
Keywords | DocType | Citations |
human computer interaction, electronic medical records, audio-speech documentation, digital scribes | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Brenna Li | 1 | 0 | 1.01 |
| Noah H Crampton | 2 | 8 | 1.78 |
| Thomas Yeates | 3 | 0 | 0.34 |
| Yu Xia | 4 | 116 | 20.65 |
| Xirong Tian | 5 | 0 | 0.34 |
| Khai N. Truong | 6 | 2002 | 162.82 |