Failure Mode and Effects Analysis (FMEA) at the preanalytical phase for POCT blood gas analysis: proposal for a shared proactive risk analysis model.

Journal article


Van Hoof V, Bench S, Soto AB, Luppa PP, Malpass A, Schilling UM, Rooney KD, Stretton A and Tintu AN (2022). Failure Mode and Effects Analysis (FMEA) at the preanalytical phase for POCT blood gas analysis: proposal for a shared proactive risk analysis model. Clinical chemistry and laboratory medicine. 60 (8). https://doi.org/10.1515/cclm-2022-0319
AuthorsVan Hoof V, Bench S, Soto AB, Luppa PP, Malpass A, Schilling UM, Rooney KD, Stretton A and Tintu AN
Abstract

Objectives
Proposal of a risk analysis model to diminish negative impact on patient care by preanalytical errors in blood gas analysis (BGA).

Methods
Here we designed a Failure Mode and Effects Analysis (FMEA) risk assessment template for BGA, based on literature references and expertise of an international team of laboratory and clinical health care professionals.

Results
The FMEA identifies pre-analytical process steps, errors that may occur whilst performing BGA (potential failure mode), possible consequences (potential failure effect) and preventive/corrective actions (current controls). Probability of failure occurrence (OCC), severity of failure (SEV) and probability of failure detection (DET) are scored per potential failure mode. OCC and DET depend on test setting and patient population e.g., they differ in primary community health centres as compared to secondary community hospitals and third line university or specialized hospitals. OCC and DET also differ between stand-alone and networked instruments, manual and automated patient identification, and whether results are automatically transmitted to the patient’s electronic health record. The risk priority number (RPN = SEV × OCC × DET) can be applied to determine the sequence in which risks are addressed. RPN can be recalculated after implementing changes to decrease OCC and/or increase DET. Key performance indicators are also proposed to evaluate changes.

Conclusions
This FMEA model will help health care professionals manage and minimize the risk of preanalytical errors in BGA.

Year2022
JournalClinical chemistry and laboratory medicine
Clinical Chemistry and Laboratory Medicine
Journal citation60 (8)
PublisherDe Gruyter
ISSN1437-4331
Digital Object Identifier (DOI)https://doi.org/10.1515/cclm-2022-0319
Web address (URL)http://europepmc.org/abstract/med/35607775
Publication dates
Online24 May 2022
Publication process dates
Accepted05 May 2022
Deposited09 Dec 2022
Publisher's version
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File Access Level
Open
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