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Health and Security in a Global Digital Transforming Society: Risks and Opportunities

机译:全球数字转型协会的健康和安全:风险和机遇

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Thanks to knowledge produced during Human Genomics and Exposome projects, we now know approximately 70% of all human diseases can be explained by 'exposure-throughout-life'. Exposure Science and its combination of ICT and Omics will support the further understanding of the patterns of diseases and will open up even more possibilities, like personalised medicine, not just for treatment but also probabilistic prevention as a function of environmental parameters. Combining these three areas will offer risk managers to take measures that protect the general population, specific groups and individuals and will eventually offer means to repair alternated DNA in the future reorienting the healthcare systems away from costly 'one-size-fits-all' approach. New technologies such as internal and external biomonitoring sensors produce huge amount of data causing an ever further digitalization of health data boosting preventive and curative health care options. Sensors in combination with the release of specific dosages for medical treatments accessible via the internet require high demands on secure data collection, storage, handling and ownership. Like many of the big technological developments outcomes can be used for the good but also for the bad supporting the development of secure health-related information preventing unwanted CBRNE-type (Chemical, Biological, Radiological, Nuclear, and Explosives) incidents. In many countries new streams of health data are generated. These data are important building blocks for a new approach to health research and delivery, tailored to the protective needs the population. Therefore, linking security with health in the digital transformation of the current society is of upmost importance. This presentation will address the opportunities and threats in the frame of security and health in a global digital transforming society and aims to interact with exposure practitioners to develop best practices in field of secure health information.
机译:由于在人类基因组学和曝光项目期间产生的知识,我们现在知道大约70%的人类疾病可以通过“整个生活中的曝光”来解释。曝光科学及其对INT和OMICS的结合将支持进一步了解疾病模式,并将开辟更多的可能性,如个性化医学,而不仅仅是为了治疗,而且作为环境参数的函数,也是概率预防。结合这三个领域将提供风险管理人员,以采取保护一般人口,特定群体和个人的措施,并最终提供修复替代DNA的意味着将医疗保健系统远离昂贵的“一定尺寸适合所有”方法。 。内部和外部生物监测传感器等新技术产生了大量数据,导致健康数据的进一步数字化促进预防和治疗保健选择。传感器与通过互联网可访问的医疗治疗的特定剂量释放,需要对安全数据收集,存储,处理和所有权进行高要求。与许多大型技术发展成果一样可以用于良好,也可以用于支持安全健康相关信息的发展,防止了不需要的CBRNE型(化学,生物,放射,核和爆炸物)事件。在许多国家,产生新的健康数据流。这些数据是一个重要的健康研究和交付方法的建筑块,量身定制了对保护人口的人口。因此,在当前社会的数字转换中与健康联系起来的安全性最重要。本演示文稿将在全球数字转型社会中解决安全和健康框架的机遇和威胁,并旨在与暴露从业者互动,以开发安全健康信息领域的最佳实践。

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