Automated identification of postoperative complications within an electronic medical record using natural language processing.

@article{Murff2011AutomatedIO,
  title={Automated identification of postoperative complications within an electronic medical record using natural language processing.},
  author={Harvey J. Murff and Fern FitzHenry and Michael E. Matheny and Nancy Gentry and Kristen Kotter and Kimberly Crimin and Robert S. Dittus and Amy K Rosen and Peter L. Elkin and Steven H. Brown and Theodore Speroff},
  journal={JAMA},
  year={2011},
  volume={306 8},
  pages={848-55}
}
CONTEXT Currently most automated methods to identify patient safety occurrences rely on administrative data codes; however, free-text searches of electronic medical records could represent an additional surveillance approach. OBJECTIVE To evaluate a natural language processing search-approach to identify postoperative surgical complications within a… CONTINUE READING