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

Enhancing the traditional FRAM approach, the paper presents a structured systemic analysis for a case study in the neurosurgery peri‑operative patient's pathway. A multi-layer semi-quantitative framework is used as a basis for a novel decision support tool: the Variability Impact Matrix (VIM). The VIM aids to prioritize corrective measures and the need for functional performance indicators. A combination of social and technical perspectives is confirmed being necessary to cope with complex work environments, such as healthcare practices.