Digitalization and artificial intelligence facilitate the construction of a scientific and efficient health emergency response system for acute poisoning accidents

doi:10.3877/cma.j.issn.1674-6880.2024.06.001

Abstract

Abstract:

With the rapid advancement of society and technology， the threat posed by acute poisoning accidents to public health safety has become increasingly significant.The traditional health emergency response system for acute poisoning accidents is struggling to adequately address the complex and changeable emergencies.Therefore， it is imperative to establish a scientific and efficient response system.The swift development of digitalization and artificial intelligence （AI） technologies offers new opportunities for constructing such a system.Based on the experience of establishing the Chemical Intoxication Treatment Base of Zhejiang Province， this paper explores the development direction of a scientifically sound and efficient health emergency response system for poisoning emergencies.It highlights how digitalization and AI enhance the system's capabilities in monitoring and early warning， resource allocation，information sharing， and decision support， thereby addressing the limitations of the traditional system in information acquisition， decision-making assistance， and resource management.A scientifically robust and efficient health emergency response system， augmented by digitalization and AI， is not only crucial for safeguarding people's lives and health， but also represents an inevitable trend in the modernization of public health emergency management.

Key words: Acute poisoning accidents, Health emergency response system, Digitalization, Artificial intelligence

Yuanqiang Lu, Chengye Sun, Jun Tang, Hua Zou, Xiaomin Xu, Liying Lin, Congying Song, Mengxiao Feng, Qin Zhang. Digitalization and artificial intelligence facilitate the construction of a scientific and efficient health emergency response system for acute poisoning accidents[J]. Chinese Journal of Critical Care Medicine(Electronic Edition), 2024, 17(06): 441-445.

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References 24

1	国家卫生健康委员会.2022 中国卫生健康统计年鉴［M］.北京：中国协和医科大学出版社，2022.
2	周静，张美辨.我国突发中毒事件卫生应急处置体系和能力建设［J］.职业卫生与应急救援，2023，41（1）：4-9.
3	王佃国，王珊珊，孟冲，等.国家突发中毒事件卫生应急移动处置中心可持续发展路径与策略探讨：以“国家（山东）队”为例［J］.职业卫生与应急救援，2023，41（1）：49-51，72.
4	中国研究型医院学会卫生应急学专业委员会，中国中西医结合学会灾害医学专业委员会，上海市中西医结合学会灾害医学专业委员会，等.化学毒物伤害院内洗消流程处置专家共识［J/CD］.中华卫生应急电子杂志，2021，7（2）：65-73.
5	陆远强.突发危险化学品中毒事件中洗消技术的应用及基本原则［J/CD］.中华危重症医学杂志（电子版），2020，13（2）：81-84.
6	徐佳，赵雪红，陆远强.急性化学中毒医院内二级规范化洗消中心的建设与实践［J/CD］.中华危重症医学杂志（电子版），2020，13（2）：85-88.
7	马宏霞，韩建建，刘梦，等.公立医院突发中毒应急救援医疗梯队培训策略［J］.中国工业医学杂志，2024，37（5）：536-538.
8	陆远强.急性中毒的处理原则及常用的特效解毒剂［J］.全科医学临床与教育，2010，8（3）：243-244，250.
9	Zhang YT， Jiang SF， Lang N， et al.Epidemiological characteristics and toxicant type of acute poisoning cases in China， 2016-2022 ［J］.Zhonghua Liu Xing Bing Xue Za Zhi， 2024， 45 （10）： 1376-1382.
10	刘圣娣，何斌，张劲松，等.我国2012-2016 年急性中毒流行病学概况分析［J］.临床急诊杂志，2018，19（8）：528-532.
11	袁媛，何仟，王丹，等.2004-2021 年我国急性职业中毒报告事件特征分析［J］.职业卫生与应急救援，2023，41（1）：37-42.
12	郎楠，张驭涛，蒋绍锋，等.突发中毒事件卫生应急信息平台的升级与实践［J］.职业卫生与应急救援，2023，41（1）：20-23.
13	周宁，柯道，姚为学，等.基于中毒数据网络平台的中毒专科联盟建设［J］.岭南急诊医学杂志，2021，26（4）：416-418.
14	何娇，储鑫，朱保锋.区域性中毒救治体系的信息化建设（综述）［J］.江苏卫生事业管理，2022，33（4）：555-558.
15	谭壮生，齐丽娟，敬海明，等.基于QSAR 预测模型的有机磷类农药急性毒性的健康风险评估［J］.毒理学杂志，2023，37（3）：189-193.
16	乔焜.三唑类杀菌剂对斑马鱼性别分化作用机制及QSAR 研究［D］.杭州：浙江大学，2023.
17	Zhou JN， Lu YQ.Lethal diquat poisoning manifests as acute central nervous system injury and circulatory failure： a retrospective cohort study of 50 cases ［J］.EClinicalMedicine， 2022 （52）： 101609.
18	Lin LY， Tong YL， Lu YQ.The characteristics of liver injury induced by Amanita and clinical value of αamanitin detection ［J］.Hepatobiliary Pancreat Dis Int，2022， 21 （3）： 257-266.
19	刘健，刘家稳，颜苗，等.中毒与解救数据库查询系统的设计与建立［J］.中国药学杂志，2015，50（11）：997-1000.
20	Huang W， Zhang Z， Lu YQ.Serum creatinine in predicting mortality after paraquat poisoning： a systematic review and meta-analysis ［J］.PLoS One，2023， 18 （2）： e0281897.
21	任昕昕，邹波，董林沛，等.人工智能在法医毒物学中的应用与展望［J/OL］.刑事技术.［2024-12-09］.https：//doi.org/10.16467/j.1008-3650.2024.0086.
22	钱城江，张瑜，王安娜.数字化背景下工业园区安全管理信息化体系建设研究［J］.无线互联科技，2022，19（5）：17-19.
23	宋聪颖，李丽，蒋帅，等.加快数字化转型，提高化工园区中毒事件安全管理水平［J］.中华急诊医学杂志，2023，32（2）：144-146.
24	胡冬青.基于区块链技术的大型工业园区信息保障数字化管理系统设计［J］.信息记录材料，2024，25（11）：82-84.

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