Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
517940 | Journal of the American Medical Informatics Association | 2009 | 8 Pages |
Abstract
We found that it is feasible for residents to capture their clinical questions in natural language during workflow and that recording questions may prompt awareness of previously unrecognized information needs. However, the semantic complexity of typical questions and mapping failures due to residents' use of acronyms and abbreviations present challenges to machine-based extraction of semantic content.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Herbert S. MD, David R. PhD, Stephen B. PhD, Eneida A. MD, PhD,