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Interdisciplinary training to build an informatics workforce for precision medicine

机译:跨学科培训以建立精准医学信息学人才队伍

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摘要

The proposed Precision Medicine Initiative has the potential to transform medical care in the future through a shift from interventions based on evidence from population studies and empiric response to ones that account for a range of individual factors that more reliably predict response and outcomes for the patient. Many things are needed to realize this vision, but one of the most critical is an informatics workforce that has broad interdisciplinary training in basic science, applied research and clinical implementation. Current approaches to informatics training do not support this requirement. We present a collaborative model of training that has the potential to produce a workforce prepared for the challenges of implementing precision medicine.
机译:拟议中的“精准医学计划”有可能通过从基于人口研究和经验反应证据的干预措施转向那些能够解释一系列能够更可靠地预测患者反应和结果的个体因素的干预措施,来改变医疗服务。实现这一愿景需要做很多事情,但是最关键的是信息学人才队伍,他们在基础科学,应用研究和临床实施方面接受了广泛的跨学科培训。当前的信息学培训方法不支持此要求。我们提供了一种协作式培训模型,该模型有潜力培养出一支为应对实施精准医学挑战而准备的劳动力。

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