大数据在职业病防治工作中的开发与应用

发布时间：2018-05-12 04:51

本文选题：大数据 + 职业病防治　；参考：《中国职业医学》2017年04期

【摘要】：目的探讨大数据在职业病防治工作中的开发、应用以及需要关注的问题。方法通过梳理长期职业病防治实践工作中建立的数据平台,分析职业病大数据特征,探讨职业病防治大数据潜在的应用领域,并提出职业病大数据储存、开发和应用过程中应注意的问题。结果职业病防治大数据主要来源包括以政府行政部门为基础的报告数据和管理信息、职业病防治技术机构储存数据、以人群为基础的医疗和社会化活动信息、以企业为基础的职业病预防控制信息以及高校和科研机构开展的科学研究信息等。平台主要包括职业病报告数据平台、工作场所职业病危害因素数据平台和职业健康检查数据库平台等。职业病防治大数据的开发和应用领域包括:职业病监测和风险评估、职业病预防控制政策制定和资源优化、量化的职业病疾病负担、工伤保险计算、职业病舆情监测和预警9个方面。职业病大数据的开发应用过程中应重点关注数据源问题、"数据孤岛"问题和隐私保护问题。结论大数据在职业病防治工作中有待开发和应用的领域众多,价值较大;在处理好数据源、"数据孤岛"和隐私保护等问题后,应及早进行开发和应用。
[Abstract]:Objective to explore the development and application of big data in occupational disease prevention and treatment. Methods by combing the data platform established in the practice of occupational disease prevention and control for a long time, the characteristics of occupational disease big data were analyzed, the potential application fields of occupational disease prevention and control big data were discussed, and the storage of occupational disease big data was put forward. The problems that should be paid attention to in the process of development and application. Results the main sources of occupational disease prevention and control (big data) included the reported data and management information based on the government administration, the data stored by the occupational disease prevention and control technical institutions, and the information on the medical and social activities based on the crowd. Enterprise-based occupational disease prevention and control information and scientific research information carried out by universities and scientific research institutions. The platform mainly includes occupational disease report data platform, workplace occupational hazard factor data platform and occupational health examination database platform. The development and application fields of occupational disease prevention and control big data include occupational disease surveillance and risk assessment, occupational disease prevention and control policy formulation and resource optimization, quantification of occupational disease burden, calculation of industrial injury insurance, Occupational disease public opinion monitoring and early warning 9 aspects. In the process of development and application of occupational disease big data, we should pay attention to the problem of data source, "data island" and privacy protection. Conclusion there are many fields to be developed and applied in the prevention and control of occupational diseases, which is of great value, and should be developed and applied as soon as possible after dealing with the problems of data source, "data island" and privacy protection.
【作者单位】：广州市职业病防治院;广东省职业病防治院广东省职业病防治重点实验室;
【基金】：国家科技支撑计划项目(2014BAI12B01) 广东省科技计划省国际合作项目(2011B050700001);广东省科技计划项目(2013B021800176) 广东省医学科研基金(A2015150,C2016014) 广州市医药卫生科技项目(20151A010076) 广东省省级工业与信息化发展专项资金互联网+技术应用项目广东省卫生计生委2014—2016年疾病预防控制类委托服务项目广东省职业病防治重点实验室(2012A061400007)
【分类号】：R13

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