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Automating Nurses' Notes

Authors: M, Rosenberg; D, Carriker;

Automating Nurses' Notes

Abstract

erage note. This information can then be rapidly and accurately transmitted, and produces a much clearer nd more meaningful profile of the patient for all disciplines concerned with the total care of the patient. Furthermore, because of the nature of the forms used, the procedure permits ready statistical analysis of the content of the report. In 1902, Clara Weeks-Shaw wrote prophetically, "The nurse who is with her patient constantly, has, if she knows how to make use of it, a much better opportunity of becoming acquainted with his real condition than the physician, who only spends half an hour with him occasionally" (1). The physician's knowledge of the course of the patient's illness and his management of treatment were, she added, "largely guided by the observations of the attentive nurse." Today, too, the physician looks to reports made by nursing personnel for much of his information about the day-to-day changes in patient behavior.

Keywords

Electronic Data Processing, Humans, Nursing Care, Medical Records

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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
Average
Average
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