Risk assessment in the use of medical devices: A proposal to evaluate the impact of the human factor

Catelani, Marcantonio; Ciani, Lorenzo; Risaliti, Chiara

doi:10.1109/memea.2014.6860088

Cited by 13 publications

(10 citation statements)

References 13 publications

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“…One of the interesting perspective applications of HRA methods is analysis of medical errors [32,[36][37][38][39][40]. Failures in healthcare are called medical errors, such as if a patient's condition worsens, or the patient contracts an illness.…”

Section: Human Reliability Analysis In Healthcarementioning

confidence: 99%

“…The specifics and limitations of initial data for HRA in healthcare is considered in [39]. The impact of the human factor on the reliability of medical devices is discussed in [40]. A detailed analysis of the specifics of medical error analysis and the efficient of well-known HRA methods in healthcare are provided by the authors of [38].…”

Section: Human Reliability Analysis In Healthcarementioning

confidence: 99%

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Application of the Structure Function in the Evaluation of the Human Factor in Healthcare

et al. 2020

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A structure function is one of the possible mathematical models of systems in reliability engineering. A structure function maps sets of component states into system performance levels. Methods of system reliability evaluation based on structure function representation are well established. A structure function can be formed based on completely specified data about system behavior. Such data for most real-world systems are incomplete and uncertain. The typical example is analysis and evaluation of the human factor. Therefore, the structure function is not used in human reliability analysis (HRA) typically. In this paper, a method for structure function construction is proposed based on incomplete and uncertain data in HRA. The proposed method application is considered for healthcare to evaluate medical error. This method is developed using a fuzzy decision tree (FDT), which allows all possible component states to be classified into classes of system performance levels. The structure function is constructed based on the decision table, which is formed according to the FDT. A case study for this method is considered by evaluating the human factor in healthcare: complications in the familiarization and exploitation of a new device in a hospital department are analyzed and evaluated. This evaluation shows the decreasing of medical errors in diagnosis after one year of device exploitation and a slight decrease in quality of diagnosis after two months of device exploitation. Numerical values of probabilities of medical error are calculated based on the proposed approach.

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Section: Human Reliability Analysis In Healthcarementioning

confidence: 99%

Section: Human Reliability Analysis In Healthcarementioning

confidence: 99%

Application of the Structure Function in the Evaluation of the Human Factor in Healthcare

et al. 2020

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“…HRA's methods aim to identify the potential failure of the system resulting from human errors, analyze causes and identify appropriate countermeasures to prevent and reduce the linked risk (French, 2011). HRA methods are particularly well suited to for healthcare (Dhillon, 2003;Deeter, 2012;Catelani, 2014). The failures in healthcare are called Medical Errors, and if the patient is harmed, their condition worsens, or if the patient contracts a new illness (Wilwerding, 2004).…”

Section: Introductionmentioning

confidence: 99%

New Methods for Healthcare System Evaluation Using Human Reliability Analysis

Barach

Levashenko

Zaitseva

2017

Proceedings of the Human Factors and Ergonomics Society Annual

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The method of Human Reliability Analysis aims to identify and surface the potential failures of the system resulting from human errors, analyze causes and identify appropriate countermeasures to prevent and reduce the linked risk and resultant patient harm. These methods are well-accepted and integrated into the safety management process in most industries. These methods allow the investigation of medical error and patient harm and to develop the applications of these methods to the problem of adverse reactions to treatment and other associated risks in healthcare. In this paper a new method for evaluation of human factor in healthcare is proposed. Important specifics of this method is the examination based on ambiguously and incompletely specified clinical data with application of principles from Data Mining.

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“…A human error in a healthcare system is considered as independent problem of reliability analysis [5,6,7,8]. Authors of papers [7,8,9] have indicated methods that are most useful for medical error analysis.…”

Section: Introductionmentioning

confidence: 99%

Reliability Estimation of Healthcare Systems using Fuzzy Decision Trees

Levashenko

Zaitseva

Deserno

2016

Annals of Computer Science and Information Systems

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Abstract-Reliability is an important characteristic of any system. Healthcare systems are typical examples of such systems. In reliability engineering, such systems are considered as complex, inhomogeneous, and uncertain, and require special mathematical representations. The structure function is a suitable model representing real systems. Methods of system reliability evaluation based on the structure function are well established but deterministic. This restricts its use for uncertain or incomplete data. A structure function can be created only for system in which correlations of all components are indicated and all component states are known. In this paper, a new method for structure function construction is proposed. Incomplete data is analysed using Fuzzy Decision Trees (FDTs), where input and output attributes are interpreted as component states and values of the structure function, respectively. This method is applied to reliability analysis of healthcare system. For illustration, we considered the system laparoscopic surgery that has 4 components and 36 state vectors. In addition we evaluate proposed method by 3 benchmark's systems with 243, 108, and 512 state vectors, respectively. Two of these benchmarks have 5 components and one has 4 components. Uncertainty is simulated by randomly deleting between 5% and 90% of all state vectors before constructing the structure function. With 50% of deleted stages, the error rate is below 0.2% for all three systems. We conclude that FDT-based reliability analysis is applicable for incomplete data in medical systems, too.

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Risk assessment in the use of medical devices: A proposal to evaluate the impact of the human factor

Cited by 13 publications

References 13 publications

Application of the Structure Function in the Evaluation of the Human Factor in Healthcare

Application of the Structure Function in the Evaluation of the Human Factor in Healthcare

New Methods for Healthcare System Evaluation Using Human Reliability Analysis

Reliability Estimation of Healthcare Systems using Fuzzy Decision Trees

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