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Creating a note classification scheme for a multi-institutional electronic medical record.

Authors: Thomas H. Payne; Barak Gaster; Durline Mineer; Jim Mazurk; Nancy Dunnington; Jacquie Zehner; Bill Lober; +2 Authors

Creating a note classification scheme for a multi-institutional electronic medical record.

Abstract

How notes are categorized in an electronic medical record (EMR) influences how rapidly users can locate documents and enter new ones, whether algorithmic search for chart deficiencies is possible, and the ease of incorporating collections of existing notes. We balanced these competing needs when developing a note classification scheme for the Online Record of Clinical Activity (ORCA) electronic medical record at the University of Washington.

Related Organizations
Keywords

Washington, Academic Medical Centers, Medical Records Systems, Computerized, Hospital Information Systems, Humans, Forms and Records Control, Medical Record Linkage, Software

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Top 10%
Average
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