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Journal ArticleDOI

Training Decision Makers – Tactical Decision Games

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TLDR
In this article, the authors present a training method, Tactical Decision Games, which appears to provide a good opportunity to practise the non-technical skills that would be required in the management of an emergency situation.
Abstract
There is growing recognition of the need to train non-technical skills, especially decision making, for emergency management in high reliability industries as well as in contained environments such as prisons. This article presents a training method, Tactical Decision Games, which appears to provide a good opportunity to practise the non-technical skills that would be required in the management of an emergency situation. Case studies from the UK nuclear power industry and the Scottish Prison Service (SPS) illustrate the adaptability and general application of TDGs for training of emergency response teams in a range of operational settings.

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Citations
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Journal ArticleDOI

The use of simulation for training teamwork skills in health care: how low can you go?

TL;DR: A typology of simulation fidelity is proposed and examples of how the different classes of simulation have been successfully used to train teamwork skills in high risk industries are provided.
Journal ArticleDOI

Anaesthetists' non-technical skills

TL;DR: The experience of the anaesthetists who designed ANTS in relation to applying it in a department of anaesthesia, using it in an simulation centre, and the process of introducing it to the profession on a national basis are shared.
Journal ArticleDOI

Collaborative Decision-Making in Emergency and Disaster Management

TL;DR: In this paper, the authors examined the decision-making structure of the Emergency Management Assistance Compact (EMAC) response to Hurricanes Katrina and Rita in 2005 and concluded that investment in communication, trust-building, and eradication of inter-agency value differences and discrepancies is imperative.
Journal ArticleDOI

How do surgeons make intraoperative decisions

TL;DR: Surgeons’ decision-making processes should be studied to provide a better evidence base for the training of cognitive skills for the intraoperative environment.
References
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Book

Skills, rules, and knowledge; signals, signs, and symbols, and other distinctions in human performance models

TL;DR: In this paper, a discussion of the requirement for different types of models for representing performance at the skill-, rule-, and knowledge-based levels, together with a review of the different levels in terms of signals, signs, and symbols is presented.
Journal ArticleDOI

Skills, rules, and knowledge; signals, signs, and symbols, and other distinctions in human performance models

TL;DR: A discussion is presented of the requirement for different types of models for representing performance at the skill-, rule-, and knowledge-based levels, together with a review of the different levels in terms of signals, signs, and symbols.
Book

Sources of Power: How People Make Decisions

Gary Klein
TL;DR: In this paper, the Vincennes shootdown mental simulation and decision-making was used to study the strengths used in making difficult decisions in a firehouse environment, including the power to spot leverage points nonlinear aspects of problem solving, the power of stories, metaphors and analogues, read minds, and rational analysis.
Journal ArticleDOI

Naturalistic Decision Making

TL;DR: The origins and contributions of the naturalistic decision making research approach, which has been used to improve performance through revisions of military doctrine, training that is focused on decision requirements, and the development of information technologies to support decision making and related cognitive functions.
Book

Decision Making in Action: Models and Methods

Gary Klein
TL;DR: In this article, the authors present and elaborate on past models developed to explain this type of decision making and present a new perspective of naturalistic decision making, which they argue is unproductive since it is so heavily grounded in economics and mathematics.