scholarly journals Development and validation of the MedITNet assessment framework: improving risk management of medical IT networks

2015 ◽  
Author(s):  
Silvana Togneri MacMahon ◽  
Fergal Mc Caffery ◽  
Frank Keenan
Keyword(s):  
Risk Management ◽  
Assessment Framework ◽  
Development And Validation

Developing a risk management assessment framework for public administration in Taiwan

2014 ◽  
Vol 16 (3) ◽  
pp. 164-194 ◽  
Author(s):  
She-I Chang ◽  
Shi-Ming Huang ◽  
Jinsheng Roan ◽  
I-Cheng Chang ◽  
Pu-Jui Liu
Keyword(s):  
Risk Management ◽  
Public Administration ◽  
Assessment Framework

scholarly journals Development and Validation of Plain English Interpretations of the Seven Elements of the Risk Management Process

Safety ◽  
2019 ◽  
Vol 5 (4) ◽  
pp. 75
Author(s):  
Garry Marling ◽  
Tim Horberry ◽  
Jill Harris
Keyword(s):  
Risk Management ◽  
Fundamental Problem ◽  
Health And Safety ◽  
Management Systems ◽  
Management Process ◽  
Codes Of Practice ◽  
Management Standards ◽  
Risk Management Process ◽  
Work Health ◽  
Development And Validation

A fundamental problem with risk management standards and other associated guiding documents is that the definitions and descriptors of the seven elements of the risk management process within these documents are commonly at odds with each other and are difficult to understand. An implication is that personnel within and across organisations interpret the process in different ways. This has led to some companies developing their own interpretations of the elements in their risk/work health and safety (WHS) management systems and thereby exacerbating the problem. A standard set of definitions, terminology and language are vital for addressing WHS issues efficiently and effectively to result in better outcomes. This study aimed to develop a set of plain English interpretations (PEI) for each of the seven elements of the risk management process. These seven elements sit between the scant and technical definitions contained in standards (primary and secondary) and the voluminous guidance in the handbooks and codes of practice. The Delphi-technique was used with 20 risk-experts to evaluate, over two iterations a set of draft PEIs—developed by the researchers. These were finally reviewed for readability and understandability by 24 operators/workers. The implications for these new PEIs is that they could be considered for future standards and guidance documents by the ISO Working Group Risk Management Standard and similar committees and used by organisations for their risk/WHS management systems.

scholarly journals Diagnosis on Transport Risk Based on a Combined Assessment of Road Accidents and Watershed Vulnerability to Spills of Hazardous Substances

2018 ◽  
Vol 15 (9) ◽  
pp. 2011 ◽  
Author(s):  
Emerson Machado ◽  
Renato Valle Junior ◽  
Teresa Pissarra ◽  
Hygor Siqueira ◽  
Luís Sanches Fernandes ◽  
...  
Keyword(s):  
Risk Management ◽  
Road Accident ◽  
Hazardous Substances ◽  
Road Accidents ◽  
Prevention Measures ◽  
Management Tools ◽  
Accident Data ◽  
Development And Validation ◽  
Soil And Water Contamination

Roads play an important role in the economic development of cities and regions, but the transport of cargo along highways may represent a serious environmental problem because a large portion of transported goods is composed of dangerous products. In this context, the development and validation of risk management tools becomes extremely important to support the decision-making of people and agencies responsible for the management of road enterprises. In the present study, a method for determination of environmental vulnerability to road spills of hazardous substances is coupled with accident occurrence data in a highway, with the purpose to achieve a diagnosis on soil and water contamination risk and propose prevention measures and emergency alerts. The data on accident occurrences involving hazardous and potentially harmful products refer to the highway BR 050, namely the segment between the Brazilian municipalities of Uberaba and Uberlândia. The results show that many accidents occurred where vulnerability is high, especially in the southern sector of the segment, justifying the implementation of prevention and alert systems. The coupling of vulnerability and road accident data in a geographic information system proved efficient in the preparation of quick risk management maps, which are essential for alert systems and immediate environmental protection. Overall, the present study contributes with an example on how the management of risk can be conducted in practice when the transport of dangerous substances along roads is the focus problem.

scholarly journals A risk assessment framework for construction project using artificial neural network

2018 ◽  
Vol 12 (5) ◽  
pp. 51-62
Author(s):  
Le Hong Ha ◽  
Le Hung ◽  
Le Quang Trung
Keyword(s):  
Neural Network ◽  
Risk Assessment ◽  
Artificial Neural Network ◽  
Risk Management ◽  
Construction Project ◽  
Assessment Framework ◽  
Project Risk ◽  
Effect Analysis ◽  
Artificial Neural ◽  
Artificial Neural Network Ann

The current trend of increasing construction project size and complexity results in higher level of project risk. As a result, risk management is a crucial determinant of the success of a project. It seems necessary for construction companies to integrate a risk management system into their organizational structure. The main aim of this paper is to propose a risk assessment framework using Artificial Neural Network (ANN) technique. Three main phases of the proposed framework are risk management phase, ANN training phase and framework application phase. Thereby, Risk Factors are identified and analysed using Failure Mode and Effect Analysis (FMEA) technique. ANN model is created and trained to evaluate the impact of Risk Factors on Project Risk which is represented through the ratio of contractor’s profit to project costs. As a result, the framework with successful model is used as a tool to support the construction company in assessing risk and evaluate their impact on the project’s profit for new projects. Keywords: risk management; risk assessment; Artificial Neural Network (ANN); Failure Mode and Effect Analysis (FMEA); construction project.

scholarly journals Ecological Risk Assessment Framework

2016 ◽  
Vol 24 (1) ◽  
pp. 10-16 ◽  
Author(s):  
Agáta Fargašová
Keyword(s):  
Risk Assessment ◽  
Risk Management ◽  
Ecological Risk ◽  
Ecological Risk Assessment ◽  
Short Description ◽  
Assessment Framework ◽  
Selection Of

AbstractPurpose of this paper is to draft shot information about framework for ecological risk assessment compile according Guidelines and short description of phases from which this method consists. During description of particular procedures, the meaning of used terms is introduced and explained. The framework for risk assessment is presented as a useful tool for risk management and selection of available cleanup and remedy technologies, and costs of alternative actions.

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