Failure mode and effects analysis drastically reduced potential risks in clinical trial conduct

Failure mode and effects analysis (FMEA) is a risk management tool to proactively identify and assess the causes and effects of potential failures in a system, thereby preventing them from happening. The objective of this study was to evaluate effectiveness of FMEA applied to an academic clinical tr...

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Bibliographic Details
Published inDrug design, development and therapy Vol. 11; pp. 3035 - 3043
Main Authors Lee, Howard, Lee, Heechan, Baik, Jungmi, Kim, Hyunjung, Kim, Rachel Youkyung
Format Journal Article
LanguageEnglish
Published New Zealand Dove Medical Press Limited 01.01.2017
Taylor & Francis Ltd
Dove Medical Press
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Summary:Failure mode and effects analysis (FMEA) is a risk management tool to proactively identify and assess the causes and effects of potential failures in a system, thereby preventing them from happening. The objective of this study was to evaluate effectiveness of FMEA applied to an academic clinical trial center in a tertiary care setting. A multidisciplinary FMEA focus group at the Seoul National University Hospital Clinical Trials Center selected 6 core clinical trial processes, for which potential failure modes were identified and their risk priority number (RPN) was assessed. Remedial action plans for high-risk failure modes (RPN >160) were devised and a follow-up RPN scoring was conducted a year later. A total of 114 failure modes were identified with an RPN score ranging 3-378, which was mainly driven by the severity score. Fourteen failure modes were of high risk, 11 of which were addressed by remedial actions. Rescoring showed a dramatic improvement attributed to reduction in the occurrence and detection scores by >3 and >2 points, respectively. FMEA is a powerful tool to improve quality in clinical trials. The Seoul National University Hospital Clinical Trials Center is expanding its FMEA capability to other core clinical trial processes.
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These authors contributed equally to this work
ISSN:1177-8881
1177-8881
DOI:10.2147/DDDT.S145310