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EDITORIAL |
| Automated surveillance for adverse events |
1 Duke University Health System, Durham, NC, USA
2 University of Utah Medical Center, Salt Lake City, UT, USA; dclassen@fcg.com
Correspondence to:
Dr D C Classen
University of Utah Medical Center, Salt Lake City, UT 84103, USA; dclassen@fcg.com
Keywords: adverse events; automated surveillance; electronic triggers
| The first 150 words of the full text of this article appear below. |
The goal of patient safety efforts is to reduce the harm we do to our patients while providing them with the care they need, and recognizing the true nature and sources of harm is critical to this endeavor. The paper by Szekendi et al1 in this issue of QSHC describes a return to automated methods for detecting adverse events, and provides an opportunity to review the evolution of adverse event detection as well as the challenges associated with different models.
First, however, we must emphasize why some form of surveillance for detection of harm to patients is indispensable to modern patient safety practices: it allows us to overcome the serious defects associated with dependence upon spontaneous reporting as a method for detecting adverse events. While such reporting can play an important role in supporting a culture of safetyfor example, encouraging the candid discussion of errorsit
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