By a News Reporter-Staff News Editor at Information Technology Newsweekly -- Investigators discuss new findings in Medical Informatics. According to news reporting originating in Salt Lake City, Utah, by VerticalNews journalists, research stated, "De-identification allows faster and more collaborative clinical research while protecting patient confidentiality. Clinical narrative de-identification is a tedious process that can be alleviated by automated natural language processing methods."
The news reporters obtained a quote from the research from the University of Utah, "The goal of this research is the development of an automated text de-identification system for Veterans Health Administration (VHA) clinical documents. We devised a novel stepwise hybrid approach designed to improve the current strategies used for text de-identification. The proposed system is based on a previous study on the best de-identification methods for VHA documents. This best-of-breed automated clinical text de-identification system (aka BoB) tackles the problem as two separate tasks: (1) maximize patient confidentiality by redacting as much protected health information (PHI) as possible; and (2) leave de-identified documents in a usable state preserving as much clinical information as possible. We evaluated BoB with a manually annotated corpus of a variety of VHA clinical notes, as well as with the 2006 i2b2 de-identification challenge corpus. We present evaluations at the instance-and token-level, with detailed results for BoB's main components. Moreover, an existing text de-identification system was also included in our evaluation. BoB's design efficiently takes advantage of the methods implemented in its pipeline, resulting in high sensitivity values (especially for sensitive PHI categories) and a limited number of false positives."
According to the news reporters, the research concluded: "Our system successfully addressed VHA clinical document de-identification, and its hybrid stepwise design demonstrates robustness and efficiency, prioritizing patient confidentiality while leaving most clinical information intact."
For more information on this research see: BoB, a best-of-breed automated text de-identification system for VHA clinical documents. Journal of the American Medical Informatics Association, 2013;20(1):77-83.
Our news correspondents report that additional information may be obtained by contacting O. Ferrandez, Dept. of Biomedical Informatics, University of Utah, Salt Lake City, UT 84112, United States. Additional authors for this research include B.R. South, S. Shen, F.J. Friedlin, M.H. Samore and S.M Meystre.
Keywords for this news article include: Utah, United States, Salt Lake City, Medical Informatics, North and Central America.
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