Investigating the Documentation of Electronic Cigarette Use in the Veteran Affairs Electronic Health Record: A Pilot Study

Danielle Mowery, Brett South, Olga Patterson, Shu-Hong Zhu, Mike Conway


Abstract
In this paper, we present pilot work on characterising the documentation of electronic cigarettes (e-cigarettes) in the United States Veterans Administration Electronic Health Record. The Veterans Health Administration is the largest health care system in the United States with 1,233 health care facilities nationwide, serving 8.9 million veterans per year. We identified a random sample of 2000 Veterans Administration patients, coded as current tobacco users, from 2008 to 2014. Using simple keyword matching techniques combined with qualitative analysis, we investigated the prevalence and distribution of e-cigarette terms in these clinical notes, discovering that for current smokers, 11.9% of patient records contain an e-cigarette related term.
Anthology ID:
W17-2335
Volume:
BioNLP 2017
Month:
August
Year:
2017
Address:
Vancouver, Canada,
Editors:
Kevin Bretonnel Cohen, Dina Demner-Fushman, Sophia Ananiadou, Junichi Tsujii
Venue:
BioNLP
SIG:
SIGBIOMED
Publisher:
Association for Computational Linguistics
Note:
Pages:
282–286
Language:
URL:
https://aclanthology.org/W17-2335
DOI:
10.18653/v1/W17-2335
Bibkey:
Cite (ACL):
Danielle Mowery, Brett South, Olga Patterson, Shu-Hong Zhu, and Mike Conway. 2017. Investigating the Documentation of Electronic Cigarette Use in the Veteran Affairs Electronic Health Record: A Pilot Study. In BioNLP 2017, pages 282–286, Vancouver, Canada,. Association for Computational Linguistics.
Cite (Informal):
Investigating the Documentation of Electronic Cigarette Use in the Veteran Affairs Electronic Health Record: A Pilot Study (Mowery et al., BioNLP 2017)
Copy Citation:
PDF:
https://aclanthology.org/W17-2335.pdf