Interdependency-induced risk with applications to healthcare

Katina, Polinpapilinho F.; Pinto, C. Ariel; Bradley, Joseph; Hester, Patrick T.

doi:10.1016/j.ijcip.2014.01.005

Cited by 44 publications

(24 citation statements)

References 46 publications

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“…There is a general agreement that modern societal systems operate under conditions of ambiguity, complexity, emergence, interdependence and uncertainty (Flood and Carson, 1993;Katina et al, 2014b;Skyttner, 2005). Therefore, many researchers have suggested that today's most vexing issues cannot be addressed using reductionist approaches (Capra, 1997;Hammond, 2002;Laszlo, 1996).…”

Section: Systems Theory-based Pathologiesmentioning

confidence: 99%

“…The 21st century landscape is defined by themes of ambiguity -increasing lack of clarity and situational understanding, complexity -large numbers of richly interdependent and dynamically interacting systems with behaviour difficult to predict, emergence -inability to deduce behaviour, structure, or performance from constituent elements, interdependence -mutual influence among complex systems through which the state of a system influences and is influenced by, the state of interconnected systems and uncertainty -incompleteness in understanding, predicting, or controlling of systems (Flood and Carson, 1993;Skyttner, 2005;Katina et al, 2014aKatina et al, , 2014b. Under such conditions, organisations must be viewed as complex interdependent systems rather that simple and isolated systems (Hammond, 2002;Laszlo, 1996).…”

Section: Introductionmentioning

confidence: 99%

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Emerging systems theory-based pathologies for governance of complex systems

Katina

2015

IJSSE

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Abstract:The purpose of this paper is to develop a systems theory-based construct for pathologies within the context of complex system problem formulation. Problem formulation is arguably one of the most critical phases of any endeavour to improve systems. However, there is relatively little research utilising systems theory during problem formulation. A possible extension of the systems research is the introduction of systems theory (i.e., laws, principles and concepts) as a foundation for exploration, innovation, transformation, evaluation and evolution of complex systems. Specifically, this paper is concerned with how we might use systems theory to articulate pathologies -circumstances, conditions, factors, patterns and/or issues acting to impede system performance. The paper examines the importance of problem formulation for issues related to complex systems. A multidisciplinary literature review is then provided to synthesise insights on pathologies. A systems theory-based construct for pathologies is then developed. Finally, the paper provides implications for the systems theory-based pathologies construct related to complex system governance. The paper concludes with possible future research directions.Keywords: complexity; construct; interdependence; management cybernetics; metasystem pathology; problem formulation; system pathology; systems theory; viable system model; VSM.Reference to this paper should be made as follows: Katina, P.F. (2015) 'Emerging systems theory-based pathologies for governance of complex systems', Int.

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Section: Systems Theory-based Pathologiesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Emerging systems theory-based pathologies for governance of complex systems

Katina

2015

IJSSE

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“…Consequently, it is possible to apply this approach in situations ‘when specific failure rate data is not available’ (Dodson and Nolan,15 p266). This is ideal for the domain of critical infrastructures where data on FMs, effects, causes, occurrences and severity is often unavailable for several reasons including competitive advantages 19. Having described the FAMECA approach, we now move to describe the system of interest—critical healthcare sector.…”

Section: Fameca Methodology Basicsmentioning

confidence: 99%

“…However, authors assert that critical healthcare systems share a common theme of being ‘organized to provide the diagnosis and treatment of health problems’ (Jonas, Goldsteen and Goldsteen,23 p6). In this paradigm, a critical healthcare infrastructure can be viewed as a set interdependent system-of-systems integrated to offer a capability beyond any single healthcare system 19. In such a structure, any one failure can cascade due to the ‘bidirectional relationship between two [or more] infrastructures through which the state of each infrastructure influences or is correlated to the state of the other’ (Rinaldi, Peerenboom and Kelly,7 p14).…”

Section: Critical Healthcare Sector: the Case For The Usamentioning

confidence: 99%

Improving reliability in critical healthcare sector using FAMECA methodology

Katina

Magpili-Smith

2017

leader

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BackgroundHealthcare systems are critical to the well-being of the society. In such a setting, the ability of the system to perform its intended mission/function during the designed period of time (ie, reliability) is essential. However, there remains a scarcity of literature, suggesting how the concept of reliability can be addressed in the context of critical healthcare infrastructure systems.MethodsWe recognise the importance of healthcare in the context of critical infrastructures. These systems produce goods and services essential for maintaining and sustaining public well-being. We suggest the use of failure mode, effects and criticality analysis (FAMECA) approach to increase reliability in critical healthcare systems. Phases of FAMECA are described.ResultsAfter reviewing the application of FAMECA and describing its basics, authors describe critical healthcare sector in terms of components, organisations, management and non-healthcare interdependent systems. The resulting application indicates applicability of the approach and articulates failure modes, effects and development of possible solutions to such modes and effects to increase reliability. The presented application, however, is very general and specific case applications are needed.ConclusionsA decision to suggest the FAMECA as a methodological approach in critical healthcare systems is pivotal to improving systems reliability and enhances the ability of the system to meet its intended missions during the designed period of time. The utility of FAMECA is found in its ability to identify potential failure modes, their effects and suggesting remedial efforts, including tools and technologies to address failure modes and their effects.

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“…While undesirable events such as industrial accidents, process and supply chain disruptions, or bankruptcies formerly occurred from known causes and factors, contemporary events usually originate from unanticipated interactions between elements with no visible links [12,[38][39][40]. In tightly connected complex systems and their environment, it creates conditions for cascading events throughout them [10,38,[41][42][43][44][45][46][47][48][49] due to increased interdependencies [50,51]. Several authors argue that analyzing the performance of complex systems should also imply a careful examination of low level events as well as organizational factors such as safety culture and the incentive system, which shape human performance and affect the risk of errors [37,39,[52][53][54][55][56].…”

Section: Emerging Risks Linked To Humanmentioning

confidence: 99%

Emerging Risk Management in Industry 4.0: An Approach to Improve Organizational and Human Performance in the Complex Systems

et al. 2019

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Industry 4.0 in the contemporary operating context carries important sources of complexity. This context generates both traditional risks and emerging risks that must be managed. The management of these risks includes both industrial risks and occupational risks, since they are heavily interlinked. The human factor can be considered the main link between both types of risks. Thus, understanding risks originating from human errors and organizational weaknesses as causes of accidents and other disruptions in complex systems requires elaborating sophisticated modeling approaches. Therefore, the objective of this paper is to propose an organizational and human performance approach to improve the emerging risk management linked to the complex systems, like as Human-Machine Interactions (HMI) and Human-Robot Interaction (HRI). To fulfill this objective, we first introduce the concept of emerging risk linked to human factor. Then, we introduce the concept of emerging risk management in the Industry 4.0 context. Under this complex context, we expose the concept considering the current models of risk management. Finally, we discuss how enhancing human and organizational performance can be achieved through risk management in complex systems linked to Industry 4.0. Therefore, we conclude that while Industry 4.0 brings numerous advantages, it must contend with emerging risks and challenges associated with organizational and human factors. These emerging risks include industrial risks as well as occupational risks. Moreover, the human factor aspect of Industry 4.0 is directly linked to industrial emerging and occupational emerging via context of operations. To cope with these new challenges, it is necessary to develop new approaches. One of such approaches is Complex System Governance. This approach is discussed along with the need for adequate organizational and human performance models dealing with, for example, experience from other domains such as nuclear, space, aviation, and petrochemical.

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Interdependency-induced risk with applications to healthcare

Cited by 44 publications

References 46 publications

Emerging systems theory-based pathologies for governance of complex systems

Emerging systems theory-based pathologies for governance of complex systems

Improving reliability in critical healthcare sector using FAMECA methodology

Emerging Risk Management in Industry 4.0: An Approach to Improve Organizational and Human Performance in the Complex Systems

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