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Investigating Ethical, Legal, and Socio-Technical Barriers of Medical Data Donation and Developing a Concept to Address Them - A Research Protocol

机译:调查医疗数据捐赠的道德,法律和社会技术障碍,并开发解决它们的概念 - 研究方案

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摘要

Medical data are being generated in large quantities. However, these data are rarely used beyond their primary purpose. Big data methods to medical data offer the opportunity to transform healthcare. The healthcare industry has been a lot less successful than other industries in applying these new tools. Main reasons are privacy concerns and the fact that medical data in Germany are scattered across institutions. The method of data donation can offer a solution. The first aim of the proposed Medical Data Donation Enabler (MADE) project is to investigate ethical, legal and socio-technical barriers to data donation. The second aim is to develop a concept of a medical data donation process model that addresses the barriers by providing a data donation process model. The process model concept created through MADE could be provided for this purpose.
机译:医疗数据正在大量产生。但是,这些数据很少超出其主要目的。医疗数据的大数据方法提供了改变医疗保健的机会。医疗保健行业比其他行业在应用这些新工具方面取得了很多成功。主要原因是隐私问题,德国医疗数据分散在机构中。数据捐赠方法可以提供解决方案。拟议的医疗数据捐赠推动者(制定)项目的首次目的是调查数据捐赠的道德,法律和社会技术壁垒。第二个目的是通过提供数据捐赠过程模型来制定解决障碍的医疗数据捐赠过程模型的概念。可以为此目的提供通过制作创建的过程模型概念。

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  • 来源
    《ICIMTH》|2019年|xv 404 p. :|共4页
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  • 作者

    Felix HOLL;

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  • 会议组织
  • 原文格式 PDF
  • 正文语种
  • 中图分类 R-058;
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