Chemicals

163 results

The Low Cost of a Safe Day: Rethinking EHS Costs/Benefit Analysis in an Era of Transition

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by Phil Molé, MPH Respondents in our surveys report that EHS is becoming more strategic in their organization, more connected to risk management, operational performance, and even business continuity. But interestingly, as that shift happens, some safety professionals have become uncomfortable talking about mundane things like costs, almost as though putting a financial lens on […]

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What Is Agentic AI? A Primer for EHS Teams

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By Phil Molé, MPH Safety teams are being asked to do something very difficult: Move faster, but don’t make mistakes. In many ways, as EHS professionals know all too well, this is nothing new. EHS professionals have long reported they need to do a lot with a little and to work efficiently while delivering results, […]

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The Top 10 OSHA Violations Are Predictable. That’s the Problem.

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By Phil Molé, MPH Every year, OSHA releases its Top 10 most frequently cited standards. And every year, the list barely changes. OSHA enforcement officers are finding the same issues and workers typically get hurt by the same hazards. It’s time to shift the conversation. In what follows, you’ll learn why focusing on the “new” […]

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What Your EHS Dashboard Should Show You Part 1: Why PSIFs Are an Ideal Leading Indicator 

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By Phil Molé, MPH For decades, safety performance has been measured by one simple idea: fewer incidents mean a safer workplace. Lagging metrics measuring numbers and rates of actual injuries and illnesses have become the standard, shaping how organizations evaluate risk, benchmark performance, and make decisions. Even so, serious injuries and fatalities (SIFs) continue to […]

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Separating Hype from Reality: State of AI in EHS Part 2

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By Phil Molé, MPH In Part One of this series, we addressed six of the most common myths shaping the AI conversation in EHS—from the idea that AI replaces human expertise to the belief that it’s only useful for large enterprises. The common thread? Most concerns stem from misunderstanding what AI is designed to do […]

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