Risk analysis using fuzzy set theory of the accidental exposure of medical staff during brachytherapy procedures

Castiglia, Francesco; Giardina, Mariarosa; Tomarchio, E

doi:10.1088/0952-4746/30/1/004

Cited by 28 publications

(24 citation statements)

References 13 publications

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“…where P is the probability of human error, P 0 is the nominal human unreliability, EPC i is the ith error-promoting condition and Ap i is the engineer's assessment of the proportion effect (from 0 to 1) for each ith EPC (Castiglia et al, 2010). Castiglia et al (2010) proposed to modify the technique by using the concept of fuzzy linguistic expressions in the representation of the proportion assessment factor, Ap i .…”

Section: Fuzzy Heart Techniquementioning

confidence: 99%

“…Castiglia et al (2010) proposed to modify the technique by using the concept of fuzzy linguistic expressions in the representation of the proportion assessment factor, Ap i . This approach is taken because in the HEART model this parameter is the one most characterized as subjective and imprecise.…”

Section: Fuzzy Heart Techniquementioning

confidence: 99%

“…These linguistic values can be represented by the approximate reasoning of fuzzy numbers. For example, for Very Low (VL), Low (L), Medium (M), High (H) and Very High (VH), the fuzzy number of these linguistic values can be described as reported in (Castiglia et al, 2010). The linguistic variables, so represented, can be used to estimate the Ap i and Eq.…”

Section: Fuzzy Heart Techniquementioning

confidence: 99%

“…The method considers the human error as an isolated entity, unaffected by any other task. In the proposed approach, the probability of medical personnel error or misjudgment during the treatment process is evaluated by using the fuzzy HEART method as proposed in (Castiglia et al, 2010;Giardina, 2011, 2013) and the fuzzy interval of the error probability is employed in the event-tree obtained by the THERP technique.…”

Section: Introductionmentioning

confidence: 99%

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THERP and HEART integrated methodology for human error assessment

Castiglia

Giardina

Tomarchio

2015

Radiation Physics and Chemistry

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Section: Fuzzy Heart Techniquementioning

confidence: 99%

Section: Fuzzy Heart Techniquementioning

confidence: 99%

Section: Fuzzy Heart Techniquementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

THERP and HEART integrated methodology for human error assessment

Castiglia

Giardina

Tomarchio

2015

Radiation Physics and Chemistry

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“…Fuzzy set theory has been applied for risk analysis[23] and image analysis[24] in the domain of medical dosimetry. In view of these applications, we have proposed an approach of applying this fuzzy set theory in the quantification of uncertainty associated with the distance error required for the measurement of strength of HDR 192 Ir brachytherapy sources.…”

Section: Introductionmentioning

confidence: 99%

Estimation of distance error by fuzzy set theory required for strength determination of HDR ¹⁹² Ir brachytherapy sources

Datta¹,

Sharma²,

Chourasiya³

et al. 2014

J Med Phys

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Verification of the strength of high dose rate (HDR) 192Ir brachytherapy sources on receipt from the vendor is an important component of institutional quality assurance program. Either reference air-kerma rate (RAKR) or air-kerma strength (AKS) is the recommended quantity to specify the strength of gamma-emitting brachytherapy sources. The use of Farmer-type cylindrical ionization chamber of sensitive volume 0.6 cm3 is one of the recommended methods for measuring RAKR of HDR 192Ir brachytherapy sources. While using the cylindrical chamber method, it is required to determine the positioning error of the ionization chamber with respect to the source which is called the distance error. An attempt has been made to apply the fuzzy set theory to estimate the subjective uncertainty associated with the distance error. A simplified approach of applying this fuzzy set theory has been proposed in the quantification of uncertainty associated with the distance error. In order to express the uncertainty in the framework of fuzzy sets, the uncertainty index was estimated and was found to be within 2.5%, which further indicates that the possibility of error in measuring such distance may be of this order. It is observed that the relative distance li estimated by analytical method and fuzzy set theoretic approach are consistent with each other. The crisp values of li estimated using analytical method lie within the bounds computed using fuzzy set theory. This indicates that li values estimated using analytical methods are within 2.5% uncertainty. This value of uncertainty in distance measurement should be incorporated in the uncertainty budget, while estimating the expanded uncertainty in HDR 192Ir source strength measurement.

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An advanced human error assessment approach: HEART and AV‐DEMATEL

Can

Delice

2019

Hum Ftrs & Erg Mfg Svc

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Human error assessment and reduction technique (HEART) is one of the most commonly used human error assessment approaches which computes human error probability (HEP) to prioritize errors related to human actions. HEART is a powerful tool considering error producing conditions (EPCs) which increase the HEP for generalized task versions named as generic task types (GTTs). HEART can give a solution including prevention of human-related errors (HREs) and reduction of the HREs' impacts via implementing additional controls. However, it has many shortcomings for real-life error assessments. In this context, this study aims to improve effective usage of HEART through an advanced version of decision-making trial and evaluation laboratory (AV-DEMATEL). The reason to perform AV-DEMATEL is to show the complex effect relations between main tasks (MTs), subtasks (STs), and EPCs in a process. For this aim, an integrated effect relation matrix is proposed for DEMATEL and importance weights of MTs, STs, and EPCs are computed based on this matrix. In addition, not only HREs are considered but also machine-related errors (MREs) are taken into account to make error assessment for the process. The proposed approach also provides flexibility to categorize STs in different GTTs. Finally, a new term "process error probability" including HREs' probabilities and MREs' probabilities is recommended to compute error probability in an integrated manner for the process. To utilize the proposed approach, an example of a steam boiler daily control process is given.

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Risk analysis using fuzzy set theory of the accidental exposure of medical staff during brachytherapy procedures

Cited by 28 publications

References 13 publications

THERP and HEART integrated methodology for human error assessment

THERP and HEART integrated methodology for human error assessment

Estimation of distance error by fuzzy set theory required for strength determination of HDR ¹⁹² Ir brachytherapy sources

An advanced human error assessment approach: HEART and AV‐DEMATEL

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Risk analysis using fuzzy set theory of the accidental exposure of medical staff during brachytherapy procedures

Cited by 28 publications

References 13 publications

THERP and HEART integrated methodology for human error assessment

THERP and HEART integrated methodology for human error assessment

Estimation of distance error by fuzzy set theory required for strength determination of HDR 192 Ir brachytherapy sources

An advanced human error assessment approach: HEART and AV‐DEMATEL

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Product

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Estimation of distance error by fuzzy set theory required for strength determination of HDR ¹⁹² Ir brachytherapy sources