EXPRESS: Translational Science and Related Disciplines

翻译科学 转化医学 转化研究 操作化 人口健康 多学科方法 知识管理 医疗保健 人口 工程伦理学 管理科学 计算机科学 数据科学 医学 社会学 工程类 政治学 社会科学 病理 哲学 法学 认识论 环境卫生
作者
Octavian C. Ioachimescu,Reza Shaker
出处
期刊:Journal of Investigative Medicine [SAGE Publishing]
标识
DOI:10.1177/10815589241283515
摘要

Translational research moves scientific discoveries and innovations across the development spectrum for a particular target or disease, trying to bridge in a multidisciplinary fashion the gap between laboratory scientific discoveries and practical, real-world applications in medicine and in healthcare. Translational research aims to move research findings across settings, specific languages, methodologies and study designs, from laboratory to clinical practice and ultimately into community and population-level health benefits. In contrast, translational science is a distinct field, which evolved over time towards a systematic study and practice of operationalizing the translation of content from one language, ecosystem, environment, contextual landscape, culture, discipline, area or domain into another. It involves systematic and transdisciplinary integration of knowledge from basic science, clinical research and population science to improve human health, better longevity and to ensure disease and disability free lives. Translational science often uses knowledge, operational frameworks and specific capabilities borrowed from other specialties, disciplines and fields such as operations management, implementation and dissemination science, quality improvement and management, project management, public health, intervention science, change management and leadership, decision science, design thinking, functional design, data science, communication and marketing science, etc. The main goal of this article is to open a series of thematic reviews in this journal, introducing the reader to the main definitions, contingencies, touchpoints and overlapping areas between translational science and these related specialties, disciplines and fields of study. Transdisciplinary capabilities borrowing from these related specialties can create a robust translational science machinery for health systems, research organizations and innovation hubs.
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