Health and safety management is a key responsibility of organisations. This edition of Safety Management in the Workplace aims at highlighting certain aspects regarding health and safety in the workplace.

The book highlights: occupational health and safety from a global perspective, legislation and competency requirements, the difference between responsibility and accountability, occupational hygiene, first-aid, risk assessment, etc.

The management of safety in the workplace remains a relevant topic of discussion even after all the years since workplace safety became a priority. This book sees a discussion of the essence of workplace safety, accountability within organisations, health and safety practices and safety control measures. Finally, this book takes a look at safety recognition and reward systems within organisations and how these systems promote safe work practices.

In this edition of Occupational Health and Safety Management, the authors aim at validating the concept of safety ownership and the application of safety excellence. The book highlights the roles and functions of a safety practitioner and focuses on the legal requirements and applications of providing a healthy and safe workplace. The authors discuss hazard identification, at-risk behaviour, and behaviour-based safety and risk assessment, through a health and safety management approach.

Workplace safety kicks off with a discussion on functional and construction safety.

This unique book applies Safety Management concepts to the work environment and is aimed at informing on safety in industry, confined space work risk and occupational hygiene. Other topics covered in detail include hazardous chemical substances, thermal stress, risk assessment and first aid.

This book is reccomended for 1st year students in Safety Management courses.

This book reviews a number of issues including: Why data generated from POC machines are considered as Big Data. What are the challenges in storing, managing, extracting knowledge from data from POC devices? Why is it inefficient to use traditional data analysis with big data? What are the solutions for the mentioned issues and challenges? What type of analytics skills are required in health care? What big data technologies and tools can be used efficiently with data generated from POC devices? This book shows how it is feasible to store vast numbers of anonymous data and ask highly specific questions that can be performed in real-time to give precise and meaningful evidence to guide public health policy.