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Chapter 38 - Quality Management in the IVF Laboratory

Witnessing

from Section 10 - Quality Management

Published online by Cambridge University Press:  11 May 2017

By
David H. McCulloh ,
Patty Ann Labella  and
Caroline McCaffrey
Edited by
Markus H. M. Montag  and
Dean E. Morbeck
Markus H. M. Montag
Affiliation:
ilabcomm GmbH, St Augustin, Germany
Dean E. Morbeck
Affiliation:
Fertility Associates, New Zealand
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Principles of IVF Laboratory Practice
Optimizing Performance and Outcomes
 , pp. 259 - 265
Publisher: Cambridge University Press
Print publication year: 2017

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References

Brison, D. R., Hooper, M., Critchlow, J. D., Hunter, H. R., Arnesen, R. et al. Reducing risk in the IVF laboratory: implementation of a double witnessing system. Clin Risk 2004; 10:176–80.CrossRefGoogle Scholar
Jarman, H., Jacobs, E. and Zielinski, V. Medication study supports registered nurses’ competence for single checking. Int J Nurs Pract 2002; 8:330–5.CrossRefGoogle ScholarPubMed
Rienzi, L., Bariani, F., Dalla Zorza, M., Romano, S., Scarica, C. et al. Failure mode and effects analysis of witnessing protocols for ensuring traceability during IVF. Reprod Biomed Online 2015; 31:516–22.CrossRefGoogle ScholarPubMed
Thornhill, A. R., Orriols Brunetti, X. and Bird, S. Measuring human error in the IVF laboratory using an electronic witnessing system. In Proceedings of the 17th World Congress on Controversies in Obstetrics, Gynecology & Infertility (COGI '13) (pp. 101–6) (Lisbon, Portugal: Monduzzi Editoriale, 2013).Google Scholar
Toft, B. and Mascie-Taylor, H. Involuntary automaticity: a work-system induced risk to safe health care. Health Serv Manag Res 2005; 18:211–16.CrossRefGoogle ScholarPubMed
Armitage, G. Double-checking medicines: defense against error or contributory factor? J Eval Clin Pract 2007; 14:513–19.Google Scholar
Biron, A. D., Loiselle, C. G. and Lavoie-Tremblay, M. Work interruptions and their contribution to medication administration errors: an evidence review. Worldviews Evidence-Based Nursing 2009; 6(2):70–86.CrossRefGoogle ScholarPubMed
Novo, S., Nogues, C., Penon, O., Barios, L., Santalo, J. et al. Barcode tagging of human oocytes and embryos to prevent mix-ups in assisted reproduction technologies. Hum Reprod Hum Reprod 2013; 29(1):18–28.CrossRefGoogle ScholarPubMed
www.alphaconference.org/media/London_2012/Presentations_Speakers/17_15_Orriols_Xavier.pdf (accessed 17 July 2015).Google Scholar
www.slideshare.net/RIUKROB/embryology-id-systems-i-steve-fleming-sydney (accessed 31 August 2015).Google Scholar

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