Resilience engineering for socio-technical risk analysis: Application in neuro-surgery

Riccardo Patriarca, Andrea Falegnami, Francesco Costantino and Federico Bilotta

Reliability Engineering and System Safety, 2018, vol. 180, issue C, 321-335

Abstract: Healthcare practitioners are generally forced to adapt their actions to cope with the complexity of daily conditions, taking advantage of their inherent potential for resilient performance. Following the principles of Resilience Engineering, this article details the application of the Functional Resonance Analysis Method (FRAM), for a semi-quantitative risk analysis of patient's pathway. The analysis adopts a holistic perspective on the complexity of everyday work in order to manage emergent behaviours, mainly related to iatrogenic disease associated with neuro-anesthesia treatment.

Keywords: System safety; Complex systems; Resilience engineering; Resilience indicators; Healthcare management; Healthcare engineering; Patient pathway (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (10)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:180:y:2018:i:c:p:321-335

DOI: 10.1016/j.ress.2018.08.001

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