The Structure of Clinical Translation: Efficiency, Information, and Ethics

效率低下 集合(抽象数据类型) 校长(计算机安全) 临床试验 转化研究 药物开发 计算机科学 知识翻译 工程伦理学 风险分析(工程) 医学 管理科学 业务 知识管理 经济 药品 工程类 计算机安全 微观经济学 程序设计语言 病理 精神科
作者
Jonathan Kimmelman,Alex John London
出处
期刊:Hastings Center Report [Wiley]
卷期号:45 (2): 27-39 被引量:85
标识
DOI:10.1002/hast.433
摘要

Abstract The last two decades have witnessed a crescendo of allegations that clinical translation is rife with waste and inefficiency. Patient advocates argue that excessively demanding regulations delay access to life‐saving drugs, research funders claim that too much basic science languishes in academic laboratories, journal editors allege that biased reporting squanders public investment in biomedical research, and drug companies (and their critics) argue that far too much is expended in pharmaceutical development . But how should stakeholders evaluate the efficiency of translation and proposed reforms to drug development? Effective reforms require an accurate model of the systems they aspire to improve—their components, their proper functions, and their pathologies. However, there is currently no explicit and well‐developed model of translation for evaluating such criticisms . In what follows, we offer an explicit model of clinical translation. Many discussions of clinical translation and its pathologies presume that its main output is tangible: new drugs, vaccines, devices, and diagnostics. We disagree. We argue that the principal output of clinical translation is information—in particular, information about the coordinated set of materials, practices, and constraints needed to safely unlock the therapeutic or preventive activities of drugs, biologics, and diagnostics. To develop this information calls for a process far different from a simple linear progression of clinical trials; it requires exploratory sampling of many different elements in this set. Our model points to some limitations and liabilities of influential proposals for reforming research. It also reveals some underrecognized opportunities for improving the efficiency of clinical translation .
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