@InProceedings{yim-EtAl:2017:BioNLP17,
  author    = {Yim, Wen-wai  and  Tedesco, Dario  and  Curtin, Catherine  and  Hernandez-Boussard, Tina},
  title     = {Annotation of pain and anesthesia events for surgery-related processes and outcomes extraction},
  booktitle = {BioNLP 2017},
  month     = {August},
  year      = {2017},
  address   = {Vancouver, Canada,},
  publisher = {Association for Computational Linguistics},
  pages     = {200--205},
  abstract  = {Pain and anesthesia information are crucial elements to identifying
	surgery-related processes and outcomes. However pain is not consistently
	recorded in the electronic medical record. Even when recorded, the rich complex
	granularity of the pain experience may be lost. Similarly, anesthesia
	information is recorded using local electronic collection systems; though the
	accuracy and completeness of the information is unknown. We propose an
	annotation schema to capture pain, pain management, and anesthesia event
	information.},
  url       = {http://www.aclweb.org/anthology/W17-2325}
}