A new technique for quantification of human errors in chemical analysis using expert judgments is described. This technique is based on the house-of-security approach developed recently in the field of safety and security for prevention of terrorist and criminal attacks against an organization. The following relative quantification parameters (expressed in %) are proposed in the technique: (a) likelihood score of human error in a chemical analytical measurement/testing method, (b) severity score of human error for reliability of the test results, (c) importance score of a component of a laboratory quality system, and (d) effectiveness score of the quality system as a whole in reventing/blocking human error. As an example, 34 scenarios of human error in pH measurement of groundwater are discussed and quantified.

House-of-security approach to measurement in analytical chemistry: quantification of human error using expert judgments / Kuselman, I; Kardash, E; Bashkansky, E; Pennecchi, FRANCESCA ROMANA; Ellison, S. L. R.; Ginsbury, K; Epstein, M; Fajgelj, A; Karpov, Y.. - In: ACCREDITATION AND QUALITY ASSURANCE. - ISSN 0949-1775. - 18:(2013), pp. 459-467. [10.1007/s00769-013-1020-9]

House-of-security approach to measurement in analytical chemistry: quantification of human error using expert judgments

PENNECCHI, FRANCESCA ROMANA;
2013

Abstract

A new technique for quantification of human errors in chemical analysis using expert judgments is described. This technique is based on the house-of-security approach developed recently in the field of safety and security for prevention of terrorist and criminal attacks against an organization. The following relative quantification parameters (expressed in %) are proposed in the technique: (a) likelihood score of human error in a chemical analytical measurement/testing method, (b) severity score of human error for reliability of the test results, (c) importance score of a component of a laboratory quality system, and (d) effectiveness score of the quality system as a whole in reventing/blocking human error. As an example, 34 scenarios of human error in pH measurement of groundwater are discussed and quantified.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11696/30446
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