@InProceedings{mowery-EtAl:2017:BioNLP17,
  author    = {Mowery, Danielle  and  South, Brett  and  Patterson, Olga  and  Zhu, Shu-Hong  and  Conway, Mike},
  title     = {Investigating the Documentation of Electronic Cigarette Use in the Veteran Affairs Electronic Health Record: A Pilot Study},
  booktitle = {BioNLP 2017},
  month     = {August},
  year      = {2017},
  address   = {Vancouver, Canada,},
  publisher = {Association for Computational Linguistics},
  pages     = {282--286},
  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.},
  url       = {http://www.aclweb.org/anthology/W17-2335}
}