郭爱萍, 张力, 聂笠, 金洁, 沈斌, 黄煊, 刘艳. 数字化监管技术在职业卫生综合监管中的应用研究J. 职业卫生与应急救援, 2026, 44(1): 116-120. DOI: 10.16369/j.oher.issn.1007-1326.2026.250337
引用本文: 郭爱萍, 张力, 聂笠, 金洁, 沈斌, 黄煊, 刘艳. 数字化监管技术在职业卫生综合监管中的应用研究J. 职业卫生与应急救援, 2026, 44(1): 116-120. DOI: 10.16369/j.oher.issn.1007-1326.2026.250337
GUO Aiping, ZHANG Li, NIE Li, JIN Jie, SHEN Bin, HUANG Xuan, LIU Yan. Exploring the application of digital supervision technology in comprehensive occupational health supervisionJ. Occupational Health and Emergency Rescue, 2026, 44(1): 116-120. DOI: 10.16369/j.oher.issn.1007-1326.2026.250337
Citation: GUO Aiping, ZHANG Li, NIE Li, JIN Jie, SHEN Bin, HUANG Xuan, LIU Yan. Exploring the application of digital supervision technology in comprehensive occupational health supervisionJ. Occupational Health and Emergency Rescue, 2026, 44(1): 116-120. DOI: 10.16369/j.oher.issn.1007-1326.2026.250337

数字化监管技术在职业卫生综合监管中的应用研究

Exploring the application of digital supervision technology in comprehensive occupational health supervision

  • 摘要: 目的 探索数字化监管技术(digital supervision technology)在职业卫生监管中的应用实践,为提升区域职业卫生监管效能提供科学依据。方法 收集并分析上海市浦东新区职业卫生管理相关信息化数据资源,建立该区职业卫生智慧监管系统并进行应用评价,提出优化建议。结果 从国家、上海市及浦东新区的5个信息化系统以及监测报告材料中获取201 279条信息化数据,其中职业卫生相关专业数据应用质量高于其他领域数据。职业卫生智慧监管系统包括职业卫生管理对象基础数据库、职业卫生监管基本任务库以及综合监管处置模块。使用该系统后,职业卫生巡查问题发现率高于使用前(P < 0.05)。结论 数字化监管技术的应用有利于促进职业卫生监管效能提升,但仍存在数据孤岛、多源数据质量差异、模型算法可靠性欠佳以及用人单位对数字化监管接受度不足等问题。建议政府部门优化数据管理政策,进一步推进数据开放共享;系统建设应同步实施数据标准化管理,持续优化管理模型;加强数字化监管技术及系统的宣贯应用,提高用人单位参与自我合规管理的积极性。

     

    Abstract: Objective To explore the practical application of digital supervision technology in occupational health supervision and provide a scientific basis for improving regional occupational health supervision efficiency. Methods The informatization data resources related to occupational health management in the Pudong New Area of Shanghai were collected and analyzed. An intelligent supervision system for occupational health was established in Pudong, and its application was evaluated with optimization suggestions proposed. Results A total of 201 279 pieces of informatization data were obtained from five information systems at the national, Shanghai municipal, and Pudong New Area levels, as well as from monitoring reports. Among these, the application quality of occupational health-related professional data was higher than that in other fields. The intelligent occupational health supervision system included a basic database of occupational health management entities, a basic task database for occupational health supervision, and a comprehensive supervision and response module. After implementing the system, the problem discovery rate during occupational health inspections was higher than before (P < 0.05). Conclusions The application of digital supervision technology contributed to improving the efficiency of occupational health supervision. However, challenges remain, such as data silos, varying quality of multi-source data, insufficient reliability of model algorithms, and low acceptance of digital supervision by employers. It is recommended that government departments optimize data management policies and further promote data openness and sharing. Data standardization should be implemented alongside system construction, and management models should be continuously refined. Additionally, efforts should be made to increase awareness and application of digital supervision technologies and systems to boost employers’ engagement in self-compliance management.

     

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