Conceptual Bases of a Quantitative Method for Assessing the Transferability of Medical Technologies Across the Rich-Poor Divide

评估医疗技术在贫富差距中可转移性的定量方法的概念基础

阅读:2

Abstract

In spite of the global advancements in science and technology, the disparity in the quality of life across the globe continues to increase, particularly so in terms of the access to cutting-edge medical technologies. Opportune transfer of technologies across the rich-poor divide lessens the global economic inequalities and fosters the sustainability of the global economy, but not all technologies are equally transferrable across this gap. Here, a method for quantifying the transferability of technologies has been postulated and preliminarily tested by considering twelve state-of-the-art medical technologies and three comparatively impoverished regions of the world: West Bengal in India, Xinjiang in China, and the former Yugoslav state of Montenegro. The results of the analysis demonstrate that neither the gross economic productivity of the region of interest nor its level of poverty can be the sole determinants of the transferability of technologies. Rather, a complex network of scientific, technological, infrastructural, socioeconomic, and cultural factors defines the extent of transferability of new technologies across the rich-poor divide. The proposed model helps to discern which of these factors represent the most critical hindrances in the transfer of technologies. It is argued that the most dependable technologies to transfer are old and proven ones, but the best ones for ameliorating the rich-poor divide are juvenile technologies in formative stages of their development, which also happen to be employing simplistic ingenuity and resourcefulness in their design. The analysis performed here makes it apparent that models for assessing the social value of technologies should inextricably tie the scientific factors with the socioeconomic and humanistic. Countless technical models of various natures could be devised with this holistic principle in mind.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。