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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Main Authors: Debdatta Das, Krishna Pal, Sudip Roy, Moushumi Lodh
Format: Article
Language:English
Published: Manipal College of Medical Sciences, Pokhara 2021-04-01
Series:Asian Journal of Medical Sciences
Subjects:
fta
Online Access:https://www.nepjol.info/index.php/AJMS/article/view/33380
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spelling 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
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