In the current chapter, we discuss how digital learning tools can be used to promote resilience in healthcare by using examples from two research projects; one in which a digital guide to support managers in their quality improvement work is designed, tested, and evaluated (the SAFE-LEAD ...
Examples of such events in the health care setting includes death during surgery, babies handed over to wrong parents, and patients turned violent because they were not attended to in a timely manner. These misfortunes are closely related to the hospital system's resilience. In other safety-...
This paper addresses IT responses to Covid-19 in the healthcare industry, and specifically, with respect to diagnosis and patient care. Two generic frameworks illustrate how such responses can be characterized as rapid innovation or strategic resilience. Current organizational examples are used to ...
Resilience engineering (RE) has been developed to better understand system performance in high-risk sectors including healthcare and to use that understanding to develop promote safer operations by improving an organization鈥檚 ability to adapt. This paper describes resilience, the practice of resilience...
From the resilience engineering perspective, this outbreak would be a significant test as healthcare institutions try to tolerate and manage this major disruption. This paper shares insights on what a stand-alone paediatric hospital in Singapore had done to stay ahead since the beginning of the ...
Implications for Practice: Resilience is a valuable resource in strength-based approaches in healthcare. Practical examples for clinicians who follow a strength-based approach to promote adaptation for the continuing challenges of breast cancer survivorship among older women include acknowledging unique indiv...
Formulating a new MILP model to design a sustainable-resilience healthcare network during the COVID-19 pandemic and developing three hybrid meta-heuristic algorithms are among the most important contributions of this research. In order to estimate the values of the required demand for medicines, the...
(Dynamics and datasets in Methods). In all three settings, we observe that inaccurate inferences consistently occur in networked systems with positive or negative assortativity. Taking the systems with mutualistic dynamics as examples, they are both inferred to be non-resilient due to their \...
In this paper, a new production, allocation, location, inventory holding, distribution, and flow problems for a new sustainable-resilient health care netwo
//doi.org/10.1186/s12877-020-01965-2 REVIEW Open Access System models for resilience in gerontology: application to the COVID-19 pandemic Katarzyna Klasa1, Stephanie Galaitsi2, Andrew Wister3* and Igor Linkov2 Abstract The care needs for aging adults are increasing burdens on health systems ...