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Contractor Safety Performance - A Framework for Managing Expectations
Contractor Safety Performance - A Framework for Managing Expectations Assuring that these third parties meet defined safety performance criteria can be extremely challenging. Do you hold contractors accountable for maintaining certain incident rates or what they do to achieve them? How do you select contractors that are a good fit from a safety standpoint? Are your safety practices uniform, or are there different expectations for contractors and employees?
Trade professionals increasingly rely on automation, digital tools and continuous training to combat workforce shortages.
Deploying IoT wearables and AI video analytics provides short-staffed EHS teams with continuous visibility, closing operational blind spots and stopping SIFs before they occur.
AI may improve hazard detection and injury prevention, but organizations that rely too heavily on automation could inadvertently weaken the human skills and organizational resilience needed to manage unexpected events.
By combining AI, video analytics, and real-time environmental monitoring, predictive safety systems are giving EHS leaders new tools to identify fall risks before workers are exposed to danger.
Combining predictive AI analytics with inspection history shifts equipment maintenance from reactive emergency repairs to planned, low-risk safety controls.
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