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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 Best Practice & Rese...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
Best Practice & Research Clinical Obstetrics & Gynaecology
Article . 2007 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Risk management in IVF

Authors: C R, Kennedy; D, Mortimer;

Risk management in IVF

Abstract

Patient safety incidents occur in approximately 10% of hospital admissions in the UK. Although robust data are not available, assisted conception is unlikely to be any less prone to adverse incidents; indeed there have been several high-profile cases which have drawn attention to this problem. Recently established national reporting systems for adverse events are collecting data which will inform trends in patient safety. Because of the nature of the work undertaken in assisted conception, there is the potential to affect not only future generations but also many patients simultaneously because of storage of biological material. It is therefore important to implement strategies to reduce the likelihood of patient safety incidents. Established methodologies exist for the reactive (root cause analysis) and the proactive assessment of risk (failure mode effects analysis). Furthermore, establishing the detail of a process and its context through process mapping is an important prerequisite for understanding its risk. The knowledge gained through these enquiries enables the implementation of an effective risk management programme which this chapter examines in detail.

Keywords

Male, Benchmarking, Safety Management, Medical Errors, Models, Organizational, Humans, Female, Fertilization in Vitro, Mandatory Reporting, Risk Assessment

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    Top 10%
    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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!
19
Top 10%
Top 10%
Average
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