Big Data in Precision Medicine and its Legal Implications

S. Sethu, R. Nair, L. Sadath
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引用次数: 1

Abstract

Medical healthcare sector is undergoing a predominant transformation and thereby imperative to accept the technological advancements to support the initiation of precision medicine. The major components of precision medicine include genomic data, social factors, clinical trial data, several patient samples, drug responses etc. The compilation methodology of this personalized treatment is inevitably functioned with the aid of big data. In such a scenario, legal repercussions relating to data sharing and privacy factors need to be considered on priority. Moreover, data sharing should be a precondition to the precision medicine approach. In our research work, we are interlinking the legal aspects of big data in precision medicine. Hence, we have a proposed a framework LPDM (Legal Protection for Data in Medicine) to interconnect these relevant factors of legal protection and regulatory compliance in regard to the big data elements for the wellbeing and smooth functioning of this innovative approach in medicine.
精准医疗中的大数据及其法律含义
医疗保健行业正在经历一个主导的转型,因此必须接受技术进步,以支持精准医疗的启动。精准医疗的主要组成部分包括基因组数据、社会因素、临床试验数据、若干患者样本、药物反应等。这种个性化治疗的编制方法不可避免地要借助大数据来发挥作用。在这种情况下,需要优先考虑与数据共享和隐私因素有关的法律影响。此外,数据共享应该是精准医疗方法的先决条件。在我们的研究工作中,我们正在将精准医疗中大数据的法律方面联系起来。因此,我们提出了一个框架LPDM(医学数据的法律保护),将这些相关的法律保护因素和法规遵从性联系起来,以确保这种创新方法在医学中的健康和顺利运作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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