Serious Injury and Fatality Prevention

"Moving the needle" on Serious Injury and Fatality (SIF) Prevention

Visual Literacy’s Contribution to Serious Injury and Fatality Prevention

For nearly a decade, many organizations have begun to embrace a new paradigm associated with the prevention of serious injuries and fatalities (SIFs). Some companies are in the early stages of deployment, while others are searching for ways to refresh or enhance their existing SIF prevention approaches. This new paradigm is centered around the fact that across much of industry, while traditional safety performance metrics (such as Total Recordable and Lost Time Incident Rates) are trending steadily downward, the rate of the incidence of serious injuries and fatalities has been plateauing, and in some cases increasing. This calls for different and new prevention strategies to prevent SIFs that go beyond traditional safety management approaches.

More recently, another promising concept has emerged on the safety front, that of Visual Literacy (VL), or to put in simplistic terms, ‘learning to see.’ COVE provides unique and effective training experiences, tools, techniques, and concepts that, if integrated into organizations’ ‘safety toolkit,’ can make that toolkit even more effective. And that is especially the case for serious injury and fatality prevention.

SIF WP Image

 

COVE offers techniques that emphasize objectivity, critical thinking, and an understanding of the role biases play in risk management – all crucial to addressing the unique challenges posed by most SIF prevention approaches.  We also offer specific tools that can bolster companies’ efforts to effectively identify, interpret, and act upon critical SIF metrics and data.

LEARN MORE

Attend a Virtual Workshop on 
Serious Injury And Fatality Prevention
LEARN MORE OR REGISTER

 

Learning Outcomes:

  • Understand key Serious Injury and Fatality principles, how they have evolved, and why they are different today
  • Review the principles of Visual Literacy, the core constructs, models and frameworks, and why they matter
  • Participate in a broad range of exercises that apply Seeing the Whole PICTURE®A process that applies visual cues to identifying potential SIF exposures or the presence of SIF Precursors.
  • 'Connecting the Dots’ between Serious Injury and Fatality prevention and Visual Literacy —making the case that the integration of Visual Literacy into an organizations SIF program can make that program even better.

Improving our ability to see Serious Injury & Fatality (SIF) related hazards and precursors more completely, interpret SIF potential more accurately and communicate action plans more clearly.

Providing tools and techniques that emphasize objectivity, critical thinking, and an understanding of the role biases play in risk management – All crucial to addressing the unique challenges posed by most SIF prevention approaches.

 

UPCOMING VIRTUAL WORKSHOP DATES
June 15, 2021

Visual Literacy’s Contribution to Serious Injury and Fatality Prevention

‘Connecting the dots’ between key principles and approaches associated with Serious Injury and Fatality (SIF) prevention and the primary concepts associated with Visual Literacy. This paper explores how the integration of Visual Literacy into an organization’s SIF program can improve the program’s effectiveness and help prevent SIFs in real-time.

pdf png file for hubspot

 

Elements of Visual Literacy can be directly linked to known SIF precursors to provide specific targeted visual cues in the workplace to spot precursor scenarios.

Watch Webinar Recording

"Moving the needle" on Serious Injury and Fatality (SIF) Prevention

 

WebinarReg-SIF 1200x628V18.6.20

 

In this webinar we discuss the relationship between Visual Literacy and Serious Injury and Fatality (SIF) prevention. COVE shares how Visual Literacy integrated with SIF programs can improve our ability to see SIF related hazards and precursors more completely, interpret SIF potential more accurately and communicate action plans more clearly.

Watch Webinar