Related Experiment Video
Updated: Jan 31, 2026

Author Spotlight: Unveiling Mechanisms of Stress Resilience - Significant Findings, Advancements, and Future Research
Published on: December 15, 2023
People, systems and safety: resilience and excellence in healthcare practice
1Royal Lancaster Infirmary, Lancaster, UK.
Abstract:
This article outlines recent developments in safety science. It describes the progression of three 'ages' of safety, namely the 'age of technology', the 'age of human factors' and the 'age of safety management'. Safety science outside healthcare is moving from an approach focused on the analysis and management of error ('Safety-1') to one which also aims to understand the inherent properties of safety systems that usually prevent accidents from occurring ('Safety-2'). A key factor in the understanding of safety within organisations relates to the distinction between 'work as imagined' and 'work as done'. 'Work as imagined' assumes that if the correct standard procedures are followed, safety will follow as a matter of course. However, staff at the 'sharp end' of organisations know that to create safety in their work, variability is not only desirable but essential. This positive adaptability within systems that allows good outcomes in the presence of both favourable and adverse conditions is termed resilience. We argue that clinical and organisational work can be made safer, not only by addressing negative outcomes, but also by fostering excellence and promoting resilience. We outline conceptual and investigative approaches for achieving this that include 'appreciative inquiry', 'positive deviance' and excellence reporting.
More Related Videos
08:53Safety Precautions and Operating Procedures in an ABSL-4 Laboratory: 2. General Practices
Published on: October 3, 2016
12:22Mindfulness in Motion MIM: An Onsite Mindfulness Based Intervention MBI for Chronically High Stress Work Environments to Increase Resiliency and Work Engagement
Published on: July 1, 2015
Related Concept Videos
Microsoft Excel: Plotting Mean, SD, and SE
First, calculate the mean, SD, and SE of your data. The mean is obtained using the formula `=AVERAGE(range)`, while SD can be calculated with `=STDEV.P(range)` for a population or `=STDEV.S(range)` for a sample. SE is calculated as `=SD/SQRT(n)`, where `n` is the sample size.
To plot these values, use a bar...
Microsoft Excel: Student's t-Test
To conduct a t-test in Excel, use the T.TEST function or the "Data...
Healthcare Agencies II
Parish nursing is a growing specialty nursing profession that focuses on holistic healthcare, health promotion, and illness prevention. It blends professional nursing practice with a health ministry, focusing on health and healing within the context of a Christian community. Parish nurses serve as health educators, referral sources,...
Secondary Healthcare System
Tertiary Healthcare System
Survey Safety