Imperatives for health sector decision-support modelling

Nunes-Vaz, Richard; Arbon, Paul; Steenkamp, Malinda

doi:10.1016/j.ijdrr.2019.101234

Cited by 6 publications

(3 citation statements)

References 130 publications

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“…References: 1 – Papalexi et al (2016); 2 – Almutairi et al (2019a); 3 – Haeri et al (2020); 4 – Haghighi and Torabi (2018); 5 – Divsalar et al (2020); 6 – Dixit et al (2019); 7 – Tolf et al (2015); 8 – Regattieri et al (2018); 9 – Farrokhi et al (2013); 10 – Piggott et al (2011); 11 – Almutairi et al (2019b); 12 – Narayanamurthy et al (2018); 13 – Feibert et al (2019); 14 – Achour et al (2011); 15 – Tay et al (2017); 16 – De Vries and Huijsman (2011); 17 – Dobrzykowski and McFadden (2020); 18 – Dobrzykowski et al (2016); 19 – Shah et al (2008); 20 – Alshahrani et al (2018); 21 – Patrone et al (2020); 22 - Nunes-Vaz et al (2019); 23 – Guven-Uslu et al (2014); 24 – Nabelsi and Gagnon (2017); 25 – Ramori et al (2021); 26 – Borges et al (2020); 27 – Khorasani et al (2020); 28 – Volland et al (2017); 29 – Adebanjo et al (2016); 30 – Lim et al (2017); 31 – Kekkonen et al (2018); 32 – Sabouhi et al (2018); 33 – Liu et al (2016); 34 – Duong et al (2019); 35 – Singh et al (2016); 36 – Guimarães and de Carvalho (2013); 37 – Rahimnia and Moghadasian (2010); 38 – De Lima et al (2018); 39 – Roberts et al (2017); 40 - Guimarães et al (2013); 41 – Friday et al (2021); 42 – Hundal et al (2021); 43 – Suresh et al (2020); 44 – Pandey and Litoriya (2020)…”

Section: Figurementioning

confidence: 99%

Lean and resilience in the healthcare supply chain – a scoping review

Alemsan

Tortorella

Rodriguez

et al. 2022

IJLSS

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Purpose The importance of a lean health-care supply chain is increasingly discussed. However, it is still not very clear how lean practices relate to resilience capabilities, as there are synergies and divergences between them. This study aims at identifying the relationship between lean practices and resilience capabilities in the health-care supply chain. Design/methodology/approach This study conducted a scoping review based on five databases, which allowed the content analysis of 44 articles. Such analysis allowed the verification of trends and volume of studies on this topic. Further, the descriptive numerical and thematic analyses enabled the proposition of a conceptual framework, relating the adoption of lean practices to the development of resilience capabilities according to the tiers of the health-care supply chain in different value streams. Findings Three research directions were derived from this scoping review: empirical validation of the contribution of lean practices to resilience capabilities in the health-care supply chain; systemic implementation of lean practices across tier levels of the health-care supply chain; and complementary approaches to lean implementation toward a more resilient health-care supply chain. Practical implications The understanding of these relationships provides health-care managers arguments to prioritize the application of lean practices to improve desired resilience capabilities in the entire health-care supply chain. Originality/value To the best of the authors’ knowledge, there is no similar study in the literature.

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Section: Figurementioning

confidence: 99%

Lean and resilience in the healthcare supply chain – a scoping review

Alemsan

Tortorella

Rodriguez

et al. 2022

IJLSS

View full text Add to dashboard Cite

show abstract

“…Foddai et al (2020) related these systems' weakness to the stress applied to the systems during emergencies due to a vast amount of resources allocated (food, medical equipment, electricity, fuel, etc.). Moreover, these systems are not accountable to be used during sensitive situations that involved human lives (Nunes-Vaz et al, 2019).…”

Section: Previous Knowledge-based Implementation In Emergency Management Decision Support Systemsmentioning

confidence: 99%

“…The recent pandemics (SARS, Ebola, flu, and others) show the lack of having a flexible system that has the ability to deal with different emergency scenarios, which requires a plethora of data from different interdependent systems. Besides, it reveals the inability of the current systems to communicate with each other to retrieve the needed data due to the systems' isolation with no data standardization (Nunes-Vaz et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Knowledge-Based Decision Support System for Emergency Management: The Pandemic Framework

Mohamed

2021

Journal of Information and Communication Technology

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Emergency management systems (EMS) assist emergency managers to resolve emergencies on hand, through analyzing the emergency characteristics and consolidating data from different departments that are involved in resolving the emergency. Many countries have adopted various forms of EMS that are specialized in resolving one type of emergency, and studies demonstrate their effectiveness in producing better decisions. However, the COVID-19 pandemic uncovered the lack of a comprehensive framework that could deal with different emergencies. It also revealed the inability of the current systems to communicate with each other to retrieve the needed data. The aim of this study is to show the current state of EMS in emergency departments by constructing a framework for a knowledge-based decision support system for emergency management focusing on resolving pandemics. Qualitative approach was adopted in this research, where the authors reviewed emergency management in general and pandemics in specific. Existing EMS systems were investigated, and knowledge- based decision support systems were explored. Approaches for integration, communication, and collaboration were also studied. As a result of this study, a comprehensive framework, i.e., a knowledge- based decision support system for emergency departments, focusing on resolving pandemics was introduced. The framework was validated by a domain expert who provided insights and suggestions for future research. While the primary research focus is to assist emergency managers in resolving the COVID-19 pandemic, the proposed framework is unique by adopting different approaches and techniques that enable the system to deal with various emergencies not limited to the current pandemic.

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