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The compatibility of reductionistic and complexity approaches in a sociomedical innovation perspective

机译：社会学创新视角下还原和复杂性方法的兼容性

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Medical technologies, e-health and personalised medicine are rapidly changing the healthcare landscape. Successful implementation depends on interactions between the technology, the actors and the context. More traditional reductionistic approaches aim to understand isolated factors and linear cause–effect relations and have difficulties in addressing inter-relatedness and interaction. Complexity theory offers a myriad of approaches that focus specifically on behaviour and mechanisms that emerge from interactions between involved actors and the environment. These approaches work from the assumption that change does not take place in isolation and that interaction and inter-relatedness are central concepts to study. However, developments are proceeding fast and along different lines. This can easily lead to confusion about differences and usefulness in clinical and healthcare research and practice. Next to this, reductionistic and complexity approaches have their own merits and much is to be gained from using both approaches complementary. To this end, we propose three lines in complexity research related to health innovation and discuss ways in which complexity approaches and reductionistic approaches can act compatibly and thereby strengthen research designs for developing, implementing and evaluating health innovations.
机译：医疗技术，电子健康和个性化医学正在迅速改变医疗保健景观。成功实施取决于技术，演员和上下文之间的相互作用。更传统的减速方法旨在了解孤立因素和线性造成关系，在寻求相关性和互动方面具有困难。复杂性理论提供了一种专注于涉及参与者与环境之间的相互作用的行为和机制的无数方法。这些方法从假设中，改变不被隔离，并且互动和相关性是学习的中央概念。但是，发展正在快速和沿不同的线路进行。这很容易导致临床和医疗保健研究和实践中的差异和有用性困惑。在此旁边，减少和复杂性方法具有自己的优点，并且使用两种方法互补。为此，我们提出了三条与健康创新相关的复杂性研究中的三条线，并讨论了复杂性方法和减少方法可以兼容行动的方式，从而加强研发，实施和评估卫生创新的研究设计。

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