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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Obstetrics and Gynec...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Obstetrics and Gynecology Clinics of North America
Article . 2008 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Medical Error Theory

Authors: Paul A, Gluck;

Medical Error Theory

Abstract

Some errors in health care are inevitable because of human fallibility and system complexity. To improve patient safety we must develop three strategies. First, prevent errors with forcing functions, reducing complexity and providing reminders at the point of care. Second, everyone working in health care should be alert to identify and eliminate latent (potential) errors before patients are harmed. Finally, we must establish defensive barriers that will intercept those errors that still occur and prevent them from causing patient injury. Only in this way can health care fulfill its potential and significantly reduce iatrogenic harm.

Related Organizations
Keywords

Obstetrics, Safety Management, Medical Errors, Gynecology, Humans, Systems Theory, Female, Delivery of Health Care

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    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.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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!
23
Top 10%
Top 10%
Average
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