Risk identification of a hospital laboratory pre-analytics through failure mode and effect analysis
Background: Implementing an active system to identify, monitor and manage risk from laboratory errors can enhance patient safety and quality of care. Aims and Objectives: Failure Mode and Effect Analysis (FMEA) technique allows evaluating and measuring the hazards of a process malfunction, to dec...
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Manipal College of Medical Sciences, Pokhara
2021-04-01
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doaj-5679b0372d1b418a8b486d50e84c5ab82021-04-01T09:41:51ZengManipal College of Medical Sciences, PokharaAsian Journal of Medical Sciences2467-91002091-05762021-04-011243138https://doi.org/10.3126/ajms.v12i4.33380Risk identification of a hospital laboratory pre-analytics through failure mode and effect analysisDebdatta Das 0https://orcid.org/0000-0001-9348-0952Krishna Pal 1https://orcid.org/0000-0002-5340-0388Sudip Roy 2https://orcid.org/0000-0003-2267-5458Moushumi Lodh 3https://orcid.org/0000-0002-9184-0106Sr Manager, Quality & Accreditations, Medica Superspeciality Hospital, Ranchi, Jharkhand, India Laboratory Technician cum Quality coordinator, Healthworld Hospitals, Durgapur, West Bengal, India Director Laboratory Services, Medica Superspeciality Hospital, Kolkata & Ranchi, India Executive Director Laboratory Services, Healthworld Hospitals, Durgapur, West Bengal, India Background: Implementing an active system to identify, monitor and manage risk from laboratory errors can enhance patient safety and quality of care. Aims and Objectives: Failure Mode and Effect Analysis (FMEA) technique allows evaluating and measuring the hazards of a process malfunction, to decide where to execute improvement actions, and to measure the outcome of those actions. The aim of this study was to assess pre analytical phase of laboratory testing, mitigate risk and thereby increase patient safety. Materials and Methods: Steps followed in the study were: planning the study, selecting team members, analysis of the processes, risk analysis, and developing a risk reduction protocol by incorporating corrective actions. A Fault Tree Analysis diagram was used to plot the cascade of faults leading to the pre analytical errors. Risk Priority Number (RPN) was assigned. A minimum cut- off 40 RPN was considered for interventions and highest RPN errors were prioritized with corrective actions. Post intervention RPN score was calculated. Results: Eight failure modes had the highest RPN. Corrective actions were prioritized against these errors. RPN scores of test ordering error, sample collection error, transport errors, error in patient identification, site selection, urine samples not received, sample accessioning and sample processing errors decreased, post intervention. Conclusion: With thorough planning, we can use FMEA as a common standard to analyze risk in pre analytical phase of laboratory testing.https://www.nepjol.info/index.php/AJMS/article/view/33380fmeaftafracasfailure modesrisk analysispre analytical |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Debdatta Das Krishna Pal Sudip Roy Moushumi Lodh |
spellingShingle |
Debdatta Das Krishna Pal Sudip Roy Moushumi Lodh Risk identification of a hospital laboratory pre-analytics through failure mode and effect analysis Asian Journal of Medical Sciences fmea fta fracas failure modes risk analysis pre analytical |
author_facet |
Debdatta Das Krishna Pal Sudip Roy Moushumi Lodh |
author_sort |
Debdatta Das |
title |
Risk identification of a hospital laboratory pre-analytics through failure mode and effect analysis |
title_short |
Risk identification of a hospital laboratory pre-analytics through failure mode and effect analysis |
title_full |
Risk identification of a hospital laboratory pre-analytics through failure mode and effect analysis |
title_fullStr |
Risk identification of a hospital laboratory pre-analytics through failure mode and effect analysis |
title_full_unstemmed |
Risk identification of a hospital laboratory pre-analytics through failure mode and effect analysis |
title_sort |
risk identification of a hospital laboratory pre-analytics through failure mode and effect analysis |
publisher |
Manipal College of Medical Sciences, Pokhara |
series |
Asian Journal of Medical Sciences |
issn |
2467-9100 2091-0576 |
publishDate |
2021-04-01 |
description |
Background: Implementing an active system to identify, monitor and manage risk from laboratory errors can enhance patient safety and quality of care.
Aims and Objectives: Failure Mode and Effect Analysis (FMEA) technique allows evaluating and measuring the hazards of a process malfunction, to decide where to execute improvement actions, and to measure the outcome of those actions. The aim of this study was to assess pre analytical phase of laboratory testing, mitigate risk and thereby increase patient safety.
Materials and Methods: Steps followed in the study were: planning the study, selecting team members, analysis of the processes, risk analysis, and developing a risk reduction protocol by incorporating corrective actions. A Fault Tree Analysis diagram was used to plot the cascade of faults leading to the pre analytical errors. Risk Priority Number (RPN) was assigned. A minimum cut- off 40 RPN was considered for interventions and highest RPN errors were prioritized with corrective actions. Post intervention RPN score was calculated.
Results: Eight failure modes had the highest RPN. Corrective actions were prioritized against these errors. RPN scores of test ordering error, sample collection error, transport errors, error in patient identification, site selection, urine samples not received, sample accessioning and sample processing errors decreased, post intervention.
Conclusion: With thorough planning, we can use FMEA as a common standard to analyze risk in pre analytical phase of laboratory testing. |
topic |
fmea fta fracas failure modes risk analysis pre analytical |
url |
https://www.nepjol.info/index.php/AJMS/article/view/33380 |
work_keys_str_mv |
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