scholarly journals Development and Introduction of the Risk-Sentience Auxiliary Framework (RSAF) as an Enabler to the ISO 31000 and ISO 31010 for High-Risk Environments

2018 ◽  
Vol 8 (2) ◽  
pp. 22
Author(s):  
Jerry Selvaseelan
Keyword(s):  
High Risk ◽  
Risk Environments ◽  
Iso 31000 ◽  
High Risk Environments

scholarly journals Development and Introduction of the Risk-Sentience Auxiliary Framework (RSAF) as a Robust Enabler to the ISO 31000 and ISO 31010 for High-Risk Environments

2017 ◽  
Author(s):  
Jerry Selvaseelan
Keyword(s):  
High Risk ◽  
Swot Analysis ◽  
Risk Information ◽  
Safety Issues ◽  
Risk Environments ◽  
Risk Framework ◽  
Grass Root ◽  
Iso 31000 ◽  
Post Trial ◽  
High Risk Environments

The aim of this Irish study was to develop, implement and evaluate a new auxiliary risk management framework and process to serve as an enabler to the global ISO 31000 [5] risk framework and ISO 31010 processes [38]. This framework has been designed particularly for use within high-risk environments and those characterized by volatility, uncertainty, complexity and ambiguity (VUCA). The key objective was optimization of structured sharing and grass-root management of all available risk-information which have assessed potential to develop into a future identifiable risk. The author introduces new risk terminology including risk-sentience, risk-sentience information and risk-sentience management. The process involved development of the Theory of Risk-Sentience (ToRS), Risk-Sentience Auxiliary Framework (RSAF) and a risk-sentience management process referred to as LUOMEAR (Learning from Uncertainties, Others Mistakes, Experiences and Anecdotal Reporting). Manchester Patient Safety Framework (MaPSaF) [32], SWOT analysis and a newly developed Risk-Sentience Fertility Checklist were used to conduct pre and post-trial evaluations. The findings include positive adjustments in safety culture components of commitment to quality, communication and team-working around safety issues, access to evolving risk-information and efficient sharing and management of recorded risk-information with potential to develop into a future identifiable risk. Recommendations are made for more extensive applications of both the proposed auxiliary risk framework and process within high-risk sectors to further explore its effectiveness and scope.

scholarly journals Development and Introduction of the Risk-Sentience Auxiliary Framework (RSAF) as an Enabler to the ISO 31000 and ISO 31010 for High-Risk Environments

2018 ◽  
Author(s):  
Jerry Selvaseelan
Keyword(s):  
High Risk ◽  
Risk Information ◽  
Safety Issues ◽  
Risk Environments ◽  
Risk Management Framework ◽  
Enterprise Risk ◽  
Risk Framework ◽  
Iso 31000 ◽  
Post Trial ◽  
High Risk Environments

The aim of this study was to develop, implement, and evaluate a new auxiliary enterprise risk management framework and process to serve as an enabler to the global ISO 31000 risk framework and ISO 31010 processes. This framework has been designed particularly for use within high-risk environments and those characterized by volatility, uncertainty, complexity, and ambiguity (VUCA). This paper proposes a methodology for optimization of structured sharing and grass-roots management of all available risk-sentience information with the assessed potential to develop into an identifiable risk in the future. The author introduces new risk terminology including risk-sentience, risk-sentience information, and risk-sentience management. The process involved the development of the Theory of Risk-Sentience (ToRS), Risk-Sentience Auxiliary Framework (RSAF) and a risk-sentience management process referred to as LUOMEAR (Learning from Uncertainties, Others Mistakes, Experiences and Anecdotal Reporting). Manchester Patient Safety Framework (MaPSaF), SWOT (Strengths, Weaknesses, Opportunities, and Threats) analysis, and a newly developed Risk-Sentience Fertility Checklist were used to conduct pre and post-trial evaluations. The findings include positive adjustments in safety culture, components of commitment to quality, communication and team-working around safety issues, access to evolving risk-information, and efficient sharing and management of recorded risk-information. Recommendations are made for more extensive application of both the proposed auxiliary risk framework and process within high-risk sectors to further explore its effectiveness and scope.

scholarly journals Development and Introduction of the Risk-Sentience Auxiliary Framework (RSAF) as a Robust Enabler to the ISO 31000 and ISO 31010 for High-Risk Environments

2018 ◽  
Author(s):  
Jerry Selvaseelan
Keyword(s):  
High Risk ◽  
Swot Analysis ◽  
Risk Information ◽  
Safety Issues ◽  
Risk Environments ◽  
Risk Framework ◽  
Grass Root ◽  
Iso 31000 ◽  
Post Trial ◽  
High Risk Environments

The aim of this Irish study was to develop, implement and evaluate a new auxiliary risk management framework and process to serve as an enabler to the global ISO 31000 [5] risk framework and ISO 31010 processes [38]. This framework has been designed particularly for use within high-risk environments and those characterized by volatility, uncertainty, complexity and ambiguity (VUCA). The key objective was optimization of structured sharing and grass-root management of all available risk-information which have assessed potential to develop into a future identifiable risk. The author introduces new risk terminology including risk-sentience, risk-sentience information and risk-sentience management. The process involved development of the Theory of Risk-Sentience (ToRS), Risk-Sentience Auxiliary Framework (RSAF) and a risk-sentience management process referred to as LUOMEAR (Learning from Uncertainties, Others Mistakes, Experiences and Anecdotal Reporting). Manchester Patient Safety Framework (MaPSaF) [32], SWOT analysis and a newly developed Risk-Sentience Fertility Checklist were used to conduct pre and post-trial evaluations. The findings include positive adjustments in safety culture components of commitment to quality, communication and team-working around safety issues, access to evolving risk-information and efficient sharing and management of recorded risk-information with potential to develop into a future identifiable risk. Recommendations are made for more extensive applications of both the proposed auxiliary risk framework and process within high-risk sectors to further explore its effectiveness and scope.

scholarly journals Antimicrobial polymers: Antibacterial efficacy of silicone rubber–titanium dioxide composites

2016 ◽  
Vol 51 (16) ◽  
pp. 2253-2262 ◽  
Author(s):  
Betiana Felice ◽  
Vera Seitz ◽  
Maximilian Bach ◽  
Christin Rapp ◽  
Erich Wintermantel
Keyword(s):  
Photocatalytic Activity ◽  
High Risk ◽  
Uv Irradiation ◽  
Silicone Rubber ◽  
Light Exposure ◽  
Antibiotics Resistance ◽  
Antibacterial Efficacy ◽  
Risk Environments ◽  
Antibacterial Polymers ◽  
High Risk Environments

Control and reduction of microorganism infections in high-risk environments is up to date a challenge. Traditional techniques imply several limitations including development of antibiotics resistance and ecotoxicity. Then, polymers functionalized with photocatalyts arise as a promising solution against a broad spectrum of microorganisms found at, e.g. sanitary, food, and medical environments. Here, we present silicone rubber–TiO2 composites as novel antibacterial polymers. Four different types of composites with different TiO2 contents were produced and analyzed under UV irradiation and dark conditions in terms of particle distribution, chemical composition, photocatalytic activity, wettability, and antibacterial efficacy against Escherichia coli. Under UV irradiation, antibacterial sensitivity assay showed a 1000 times reduction of colony forming units after 2 h of light exposure so that the antibacterial ability of silicone–TiO2 composites was proved. Photocatalytic activity assessment suggested that reactive oxygen species induced by photocatalytic reaction at TiO2 particles are the main cause of the observed antibacterial effect. Scanning electron microscopy indicated no topographical damage after UV exposure. In addition, chemical analysis through Raman and X-Ray photoelectron spectroscopies demonstrated the stability of the silicone matrix under UV irradiation. Hence, the current work presents silicone–TiO2 composites as stable nonspecific antibacterial polymers for prevention of infections at multiple high-risk environments.

Pitfalls of machine learning for tail events in high risk environments

2018 ◽  
pp. 3043-3051 ◽  
Author(s):  
C. Agrell ◽  
S. Eldevik ◽  
A. Hafver ◽  
F.B. Pedersen ◽  
E. Stensrud ◽  
...  
Keyword(s):  
Machine Learning ◽  
High Risk ◽  
Risk Environments ◽  
Tail Events ◽  
High Risk Environments
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