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A co-occurrence framework conceptualized for bridging the gap between basic science, clinical research and clinical practices.

机译:为缩小基础科学,临床研究与临床实践之间的差距而设计的共现框架。

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摘要

The intellectual impulsiveness of man to understand the unknown and the continual need of the society to improve healthcare have encouraged extensive investigation on numerous and diverse cause-and-effect relationships. The nature of this endeavor, however, renders the inability of investigator at all levels to escape beyond the narrow conceptual boundary described by an early French philosopher as the vicious cycle. To enjoy the theoretically plausible benefits of refined labor division, data-driven healthcare management, and real-time evidence-based practices, it must first be acknowledged that co-occurrence is better than cause-and-effect in explaining how an observation takes place at a particular time. This paper details a co-occurrence framework, and discusses its implications for the global healthcare system.
机译:人的智力冲动了解未知的事物以及社会不断改善医疗保健的需求,这鼓励人们对众多不同的因果关系进行广泛的研究。然而,这种努力的性质使各级研究人员无法逃脱早期法国哲学家形容为恶性循环的狭窄概念界限。为了享受精炼分工,数据驱动的医疗保健管理和基于实时证据的实践在理论上的合理利益,必须首先承认在解释观察如何发生时,共现优于因果关系在特定时间。本文详细介绍了共现框架,并讨论了其对全球医疗体系的影响。

著录项

  • 作者

    Hsu, Michael Chih-Yuan.;

  • 作者单位

    Boston University.;

  • 授予单位 Boston University.;
  • 学科 Medicine.;Public administration.;Political science.
  • 学位 M.S.
  • 年度 2016
  • 页码 55 p.
  • 总页数 55
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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