尹萸, 蒋绍锋, 张宏顺, 孙承业. 毒物数据库及有毒动植物标本库平台系统的信息建设与应用[J]. 职业卫生与应急救援, 2023, 41(1): 24-27. DOI: 10.16369/j.oher.issn.1007-1326.2023.01.006
引用本文: 尹萸, 蒋绍锋, 张宏顺, 孙承业. 毒物数据库及有毒动植物标本库平台系统的信息建设与应用[J]. 职业卫生与应急救援, 2023, 41(1): 24-27. DOI: 10.16369/j.oher.issn.1007-1326.2023.01.006
YIN Yu, JIANG Shaofeng, ZHANG Hongshun, SUN Chengye. Construction and application of poison information database and toxic animal and plant specimen digit repository platform system[J]. Occupational Health and Emergency Rescue, 2023, 41(1): 24-27. DOI: 10.16369/j.oher.issn.1007-1326.2023.01.006
Citation: YIN Yu, JIANG Shaofeng, ZHANG Hongshun, SUN Chengye. Construction and application of poison information database and toxic animal and plant specimen digit repository platform system[J]. Occupational Health and Emergency Rescue, 2023, 41(1): 24-27. DOI: 10.16369/j.oher.issn.1007-1326.2023.01.006

毒物数据库及有毒动植物标本库平台系统的信息建设与应用

Construction and application of poison information database and toxic animal and plant specimen digit repository platform system

  • 摘要:
      目的  建立毒物和中毒医学相关信息的广泛覆盖、内容准确的毒物数据库,为各级各类突发事件应急处置人员和医务工作者全面、准确、规范的处理各类中毒事件信息,为快速、精准应对各类突发中毒事件提供技术支持。
      方法  毒物规范分类,信息数据结构化,建立包括毒物的理化性质、毒性、现场处理、现场抢救、临床治疗等内容的数据库构架。选用可靠的信息来源,经收集、整理、审核、入库、发布等步骤,完成数据库信息内容建设。利用精确查询和模糊查询两种方式提供数据查询功能。
      结果  本数据库由30个信息单元模块、500多个数据集组成,拥有16 720种毒物的文字信息和7 053张毒物图片信息,还包括中毒控制相关信息20 633条。
      结论  本数据库为全球最大的中文毒物数据库,能为我国突发中毒事件应急处置和中毒病人救治提供最有力的信息数据支持。

     

    Abstract:
      Objective  A poison database with comprehensive and accurate poison information was constructed in order to provide professional support for emergency response personnel and medical staff at all levels to deal with all kinds of poisoning incidents in a correct, timely, and standardized manner.
      Methods  A database framework including the physical and chemical properties, toxicity, on-site treatment, on-site rescue, clinical treatment, and other information of poisons was established, based on both standardized classifications of poisons and structured information. The database information content was constructed on the basis of reliable information sources and through the steps of collection, sorting, review, warehousing, and release. The data query function was achieved by both precise querying and fuzzy querying.
      Results  This database consists of 30 information unit modules with more than 500 data sets. It contains textual information on 16 720 toxicants, 7 053 toxicant picture information records, and 20 633 poison control-related records.
      Conclusions  This database is the largest Chinese poison database, which can provide the most powerful information and data support for emergency disposal of sudden poisoning events and treatment of poisoned patients in China.

     

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