Open AccessBook
Human Error: Cause, Prediction, and Reduction
John W. Senders,Neville Moray +1 more
TLDR
This chapter discusses error, taxonomic issues, and the proper classification of Errors in the context of risk management and the control of Error.Abstract:
Contents: E.A. Fleishman, Foreword. Preface. Introduction. Some Queries and Some Definitions. On Taxonomic Issues. On Theories of Error. On the Prediction of Error. On the Reduction or Elimination of Error. On the Proper Classification of Errors. On the Causes of Error. Risk Management and the Control of Error. Epilogue: Further Commentaries on Error. O. Pereira, All the King's Men. J. Wreathall, An Update on Human Error.read more
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Goal constructs in psychology: Structure, process, and content.
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Simulation-Based Medical Education: An Ethical Imperative
TL;DR: Four themes provide a framework for an ethical analysis of simulation-based medical education: best standards of care and training, error management and patient safety, patient autonomy, and social justice and resource allocation.
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Reducing the Frequency of Errors in Medicine Using Information Technology
TL;DR: The goal of this white paper is to describe how the frequency and consequences of errors in medical care can be reduced (although in some instances they are potentiated) by the use of information technology in the provision of care, and to make general and specific recommendations regarding error reduction through the useof information technology.
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How do we know that we know? The accessibility model of the feeling of knowing.
TL;DR: In this paper, the authors examined all three questions within a unified model, with the aim of demystifying the feeling-of-knowing (FOK) phenomenon and showed that the computation of FOK is parasitic on the processes involved in attempting to retrieve the target, relying on the accessibility of pertinent information.
Book
A Human Error Approach to Aviation Accident Analysis: The Human Factors Analysis and Classification System
TL;DR: In this paper, a comprehensive book provides the knowledge and tools required to conduct a human error analysis of accidents, as well as an excellent reference guide for many safety professionals and investigators already in the field.