Workflow
溧·安康工伤联网结算平台
icon
Search documents
安全指数再攀升,溧阳创新构建工伤预防体系
Xin Hua Ri Bao· 2025-05-14 00:04
Core Insights - The article highlights the innovative measures taken by Liyang City to reduce workplace injuries among high-risk groups, particularly delivery workers and sanitation workers, through comprehensive training and safety protocols [1][2][4] Group 1: Training and Safety Measures - Liyang City has implemented a "combination punch" approach to workplace injury prevention, focusing on "precise prevention, smart services, and capability enhancement," resulting in a 13% year-on-year decrease in traffic accident rates among new economy workers and a 15% reduction in workplace accidents for participating companies [1] - Over 1,800 delivery riders and sanitation workers have completed safety training courses, with key enterprises achieving a 100% insurance coverage rate for workplace injuries [2] - The introduction of a "Weekend Night School" model provides free safety training for over 100 key manufacturing companies, addressing high-risk operations and promoting proactive safety measures [2][3] Group 2: Skill Competitions and Engagement - The first "Liyang Ankang" workplace injury prevention skills competition engaged over 1,000 participants from 80 companies, leading to an average 15% reduction in workplace accident rates post-competition [3] - Participants reported a 90% increase in understanding of personal safety measures, demonstrating the effectiveness of immersive training methods [3] Group 3: Smart Services and Efficiency - The "Liyang Ankang" online settlement platform has streamlined the process for workers to claim medical expenses, allowing for a one-stop settlement experience, with over 300 individuals benefiting from this service, totaling more than 2.8 million yuan [4] - The injury recognition process has been optimized, reducing the time required for processing from days to just three, with a 70% reduction in overall recognition time [4] - The use of information technology has improved the accuracy of injury recognition information verification to over 99% [4]