Literature DB >> 10133462

The use of failure mode effect and criticality analysis in a medication error subcommittee.

E Williams1, R Talley.   

Abstract

Failure Mode Effect and Criticality Analysis (FMECA) is the systematic assessment of a process or product that enables one to determine the location and mechanism of potential failures. It has been used by engineers, particularly in the aerospace industry, to identify and prioritize potential failures during product development when there is a lack of data but an abundance of expertise. The Institute for Safe Medication Practices has recommended its use in analyzing the medication administration process in hospitals and in drug product development in the pharamceutical industry. A medication error subcommittee adopted and modified FMECA to identify and prioritize significant failure modes in its specific medication administration process. Based on this analysis, the subcommittee implemented solutions to four of the five highest ranked failure modes. FMECA provided a method for a multidisciplinary group to address the most important medication error concerns based upon the expertise of the group members. It also facilitated consensus building in a group with varied perceptions.

Mesh:

Year:  1994        PMID: 10133462

Source DB:  PubMed          Journal:  Hosp Pharm        ISSN: 0018-5787


  14 in total

1.  The need for risk management to evolve to assure a culture of safety.

Authors:  A M Kuhn; B J Youngberg
Journal:  Qual Saf Health Care       Date:  2002-06

2.  Use of a systematic risk analysis method to improve safety in the production of paediatric parenteral nutrition solutions.

Authors:  P Bonnabry; L Cingria; F Sadeghipour; H Ing; C Fonzo-Christe; R E Pfister
Journal:  Qual Saf Health Care       Date:  2005-04

3.  Pharmaceutical calculations instruction and assessment in US colleges and schools of pharmacy.

Authors:  Michael C Brown; Angela Hanggi
Journal:  Am J Pharm Educ       Date:  2007-10-15       Impact factor: 2.047

4.  Risk analysis and user satisfaction after implementation of computerized physician order entry in Dutch hospitals.

Authors:  Willem van der Veen; Han J J de Gier; Tjerk van der Schaaf; Katja Taxis; Patricia M L A van den Bemt
Journal:  Int J Clin Pharm       Date:  2012-11-28

5.  Identification and weighting of the most critical "real-life" drug-drug interactions with acenocoumarol in a tertiary care hospital.

Authors:  L Gschwind; V Rollason; C Lovis; F Boehlen; P Bonnabry; P Dayer; J A Desmeules
Journal:  Eur J Clin Pharmacol       Date:  2012-08-19       Impact factor: 2.953

6.  Identification of priorities for medication safety in neonatal intensive care.

Authors:  Desireé L Kunac; David M Reith
Journal:  Drug Saf       Date:  2005       Impact factor: 5.606

7.  A quantitative evaluation of medication histories and reconciliation by discipline.

Authors:  Joan S Kramer; Michael R Stewart; Sarah M Fogg; Brandon C Schminke; Rosalee E Zackula; Tina M Nester; Leslie A Eidem; James C Rosendale; Robert H Ragan; Jack A Bond; Kreg W Goertzen
Journal:  Hosp Pharm       Date:  2014-10

8.  Prospective risk analysis and incident reporting for better pharmaceutical care at paediatric hospital discharge.

Authors:  Laure-Zoé Kaestli; Laurence Cingria; Caroline Fonzo-Christe; Pascal Bonnabry
Journal:  Int J Clin Pharm       Date:  2014-07-05

9.  A risk analysis method to evaluate the impact of a computerized provider order entry system on patient safety.

Authors:  Pascal Bonnabry; Christelle Despont-Gros; Damien Grauser; Pierre Casez; Magali Despond; Deborah Pugin; Claire Rivara-Mangeat; Magali Koch; Martine Vial; Anne Iten; Christian Lovis
Journal:  J Am Med Inform Assoc       Date:  2008-04-24       Impact factor: 4.497

10. 

Authors:  Émile Demers; Laurence Collin-Lévesque; Marianne Boulé; Sophie Lachapelle; Christina Nguyen; Denis Lebel; Jean-François Bussières
Journal:  Can J Hosp Pharm       Date:  2018-12-31
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