The Functional Resonance Analysis Method (FRAM) Application in the Healthcare Sector: Lessons Learned from Two Case Studies on Medical Device Management

In the recent literature, numerous tools have been found that have been used to evaluate and improve the resilience of socio-technical systems such as hospitals. The Functional Resonance Analysis Method (FRAM) is certainly one of the most diffused, as it can provide information on the system structure and its components through a systemic analysis approach. FRAM has been successfully applied in different contexts. However, in the healthcare sector, only a few studies propose practical analyses that can support practitioners in systematically observing and analyzing events, both when things go right and when they go wrong. To reduce such a research gap, the current study focuses on the application of FRAM to two different case studies: (1) an accident that occurred in a hyperbaric oxygen therapy unit, and (2) the risk assessment of a magnetic resonance imaging unit. The results show the effectiveness of FRAM in detecting discrepancies and vulnerabilities in the practical management of these devices, providing valuable insights not only regarding the analysis of adverse events (i.e., retrospectively) but also concerning the improvement of safety procedures (i.e., prospectively).

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Publication Details

Journal
Applied Sciences
Published
2024-10-17
DOI
https://doi.org/10.3390/app14209495
Citations
7
Primary Topic
Quality and Safety in Healthcare
Type
article
Field-Weighted Citation Impact
6.60
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article

The Functional Resonance Analysis Method (FRAM) Application in the Healthcare Sector: Lessons Learned from Two Case Studies on Medical Device Management

Mario Fargnoli, Massimo Tronci, Luca Murgianu
7 citations
Applied Sciences
Quality and Safety in Healthcare
6.60
article

The Functional Resonance Analysis Method (FRAM) Application in the Healthcare Sector: Lessons Learned from Two Case Studies on Medical Device Management

Mario Fargnoli, Massimo Tronci, Luca Murgianu
article en
7 citations

Abstract

In the recent literature, numerous tools have been found that have been used to evaluate and improve the resilience of socio-technical systems such as hospitals. The Functional Resonance Analysis Method (FRAM) is certainly one of the most diffused, as it can provide information on the system structure and its components through a systemic analysis approach. FRAM has been successfully applied in different contexts. However, in the healthcare sector, only a few studies propose practical analyses that can support practitioners in systematically observing and analyzing events, both when things go right and when they go wrong. To reduce such a research gap, the current study focuses on the application of FRAM to two different case studies: (1) an accident that occurred in a hyperbaric oxygen therapy unit, and (2) the risk assessment of a magnetic resonance imaging unit. The results show the effectiveness of FRAM in detecting discrepancies and vulnerabilities in the practical management of these devices, providing valuable insights not only regarding the analysis of adverse events (i.e., retrospectively) but also concerning the improvement of safety procedures (i.e., prospectively).

Applied SciencesVol. 14(20)
Sapienza University of Rome (IT)
Openalex Percentile: Top 2%
Quality and Safety in Healthcare
6.60
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The Functional Resonance Analysis Method (FRAM) Application in the Healthcare Sector: Lessons Learned from Two Case Studies on Medical Device Management — Mario Fargnoli, Massimo Tronci, et al. · Applied Sciences (2024) | TGRS Research Map | TGRS