Woodier | Learning from Near Misses | Buch | 978-1-032-54558-5 | sack.de

Buch, Englisch, 236 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 513 g

Reihe: Workplace Safety, Risk Management, and Industrial Hygiene

Woodier

Learning from Near Misses

Cross-Sector Reflections to Support Safety Management
1. Auflage 2025
ISBN: 978-1-032-54558-5
Verlag: CRC Press

Cross-Sector Reflections to Support Safety Management

Buch, Englisch, 236 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 513 g

Reihe: Workplace Safety, Risk Management, and Industrial Hygiene

ISBN: 978-1-032-54558-5
Verlag: CRC Press


Learning from Near Misses can provide opportunities to improve safety without the need for harm to have first occurred. Near misses are ‘free lessons’ which are high volume and rich in value. However, some sectors are yet to embrace learning from near misses to improve the effectiveness and safety of their operations. This book explores how near misses contribute to safety management across a range of high-risk sectors and shares lessons to help organisations, industries and sectors utilise learning from near misses in line with contemporary safety theory.

This title discusses how the management of near misses has developed in the past 30 years since early clarification of the concept. It defines the ‘near miss’ and describes its unique features in relation to controls while debating relevant safety science and how different perspectives (e.g., Safety I and Safety II) can help extract valuable learning from near misses to improve safety. Case studies reveal how near misses are managed and learnt from across a range of sectors. The reader will learn to acknowledge and appreciate the complexities of near misses in modern systems and recognise the considerations that are required to extract learning from them.

An ideal and essential read for safety practitioners, consultants and academics, this book is also suitable for those working in safety management in high-risk and highly regulated sectors.

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Weitere Infos & Material


Table of Contents

Preface

Foreword

List of Contributors

Acknowledgements

Disclaimer

Part I – Introduction and Background

Chapter 1: Near Misses: What and Why? (Woodier)

Chapter 2: Near Misses and the Evolution of Safety Science (Thoroman)

Part II – Cross-Sector Reflections and Case Studies

Chapter 3: Aviation Near Misses and Safety Management: Operational and Academic Perspectives (Davis & Woodier)

Chapter 4: Children, Parents and the Near Miss: An Opportunity to Learn in the Agricultural Sector (Cosby, Menchon, Sinai & Manning)

Chapter 5: Process Safety: Using Human Factors Safety Critical Task Analysis to Learn from Near Misses (Furniss & Embrey)

Chapter 6: Viewing a Near Miss as a Quality Upgrade Opportunity in the Construction Industry (Whiteoak, Appleby & Sullivan)

Chapter 7: Learning from What Goes Right in Healthcare: Reframing Approaches to Safety Investigation (Higham & Lounsbury)

Chapter 8: Enhancing Safety in Mining: Understanding and Utilizing Near-Miss Reports (Haas, Demich & McGuire)

Chapter 9: Nuclear Professionals and Near Misses: The UK Civil Nuclear Perspective (Burrage & Barton)

Chapter 10: Near Misses in the Rail Industry: Why Does Reporting Matter? (Chamberlain-Clark)

Part III – Supporting Conditions and Final Reflections

Chapter 11: Overcoming the Near-Miss Bias in High-Risk Industries (Tinsley & Dillon)

Chapter 12: Safety Culture: Reflections and Alignment with Near Misses (Woodier & Chamberlain-Clark)

Chapter 13: Designing a Near-Miss Management System: An Example from Occupational Safety (Gnoni & Tornese)

Chapter 14: Conclusions and Final Reflections to Support Learning from Near Misses (Woodier)

Index


Nick Woodier is a Healthcare Safety Investigator, Chartered Specialist in Human Factors and Ergonomics, and an ex- medical doctor. He holds a PhD in Safety Science and an MSc in Applied Ergonomics. His PhD focused on learning from near misses across different safety- critical industries. Nick’s further research interests include safety management, system design and investigation methodologies.



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