数据赋能+精准治理 鄂尔多斯深入推进工伤预防入企调研工作

Core Insights - The article discusses the implementation of a data-driven approach to workplace injury prevention in Ordos City, focusing on leveraging technology for precise governance [2][3] Group 1: Project Overview - The Ordos Social Security Center has initiated a workplace injury prevention project since July, aiming to enhance safety management in key enterprises [2] - The project utilizes big data analysis to monitor injury risks dynamically by analyzing historical injury data and industry characteristics [2] Group 2: Methodology - A workplace injury trigger model has been developed to automatically initiate differentiated governance measures based on various types of injury risks [2] - The governance measures include self-inspection by enterprises, auxiliary investigations by safety personnel, expert interventions, and multi-departmental joint inspections [2] Group 3: Implementation and Results - The Ordos Social Security Center has conducted in-depth inspections in 38 key enterprises, identifying 132 potential injury hazards across critical areas such as mechanical operations, electrical safety, and occupational health [3] - The approach has shifted from broad inspections to precise governance, significantly improving the effectiveness and targeting of hazard identification [3] Group 4: Future Directions - The Ordos Social Security Center plans to continue enhancing the "big data + workplace injury prevention" governance model, expanding the integration of intelligent monitoring and expert governance [3] - The goal is to prevent and mitigate risks from the source, ensuring the safety and health of workers [3]