Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/225555 
Erscheinungsjahr: 
2020
Schriftenreihe/Nr.: 
CREMA Working Paper No. 2020-13
Verlag: 
Center for Research in Economics, Management and the Arts (CREMA), Zürich
Zusammenfassung: 
In this article, we argue for application of the Human Factors Analysis and Classification System (HFACS) to proactive incidence prevention in the public health system response to COVID-19. HFACS is a framework of causal categories of human errors typically applied for systematic retrospective incident analysis in high-risk domains. By leveraging this approach proactively, appropriate, and targeted measures can be quickly identified and established to mitigate potential errors at different levels within the public health system (from frontline healthcare workers to regulatory and statutory decision makers).
Dokumentart: 
Working Paper

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