欢乐之镜:个性化医疗保健的I。

IF 3.1 Q1 Arts and Humanities Life Sciences, Society and Policy Pub Date : 2021-01-05 DOI:10.1186/s40504-020-00108-0
Mira W Vegter, Hub A E Zwart, Alain J van Gool
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引用次数: 7

摘要

精准医疗是由这样一种理念驱动的:相对廉价和高效的自我跟踪设备的范围迅速增加,使得收集多种表型数据成为可能。N = 1研究的倡导者强调,个人数据为优化个人健康提供了无数机会。与此同时,使用生物标志物数据进行生活方式干预已显示出复杂的挑战。在本文中,我们认为精准医学领域的研究人员需要解决数据收集的绩效维度。我们提出了一个关于使用个人健康数据的暗喻。每个卫生数据源产生一种特定类型的图像,可将其视为“数据镜像”,根据定义,这种镜像具有特殊性和偏颇性。这就要求个人有能力充分解读由此提供的图像。
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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The funhouse mirror: the I in personalised healthcare.

Precision Medicine is driven by the idea that the rapidly increasing range of relatively cheap and efficient self-tracking devices make it feasible to collect multiple kinds of phenotypic data. Advocates of N = 1 research emphasize the countless opportunities personal data provide for optimizing individual health. At the same time, using biomarker data for lifestyle interventions has shown to entail complex challenges. In this paper, we argue that researchers in the field of precision medicine need to address the performative dimension of collecting data. We propose the fun-house mirror as a metaphor for the use of personal health data; each health data source yields a particular type of image that can be regarded as a 'data mirror' that is by definition specific and skewed. This requires competence on the part of individuals to adequately interpret the images thus provided.

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来源期刊
Life Sciences, Society and Policy
Life Sciences, Society and Policy Arts and Humanities-Philosophy
自引率
0.00%
发文量
0
审稿时长
18 weeks
期刊介绍: The purpose of Life Sciences, Society and Policy (LSSP) is to analyse social, ethical and legal dimensions of the most dynamic branches of life sciences and technologies, and to discuss ways to foster responsible innovation, sustainable development and user-driven social policies. LSSP provides an academic forum for engaged scholarship at the intersection of life sciences, philosophy, bioethics, science studies and policy research, and covers a broad area of inquiry both in emerging research areas such as genomics, bioinformatics, biophysics, molecular engineering, nanotechnology and synthetic biology, and in more applied fields such as translational medicine, food science, environmental science, climate studies, research on animals, sustainability, science education and others. The goal is to produce insights, tools and recommendations that are relevant not only for academic researchers and teachers, but also for civil society, policy makers and industry, as well as for professionals in education, health care and the media, thus contributing to better research practices, better policies, and a more sustainable global society.
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