Using Complexity and Network Concepts to Inform Healthcare Knowledge Translation

Many representations of the movement of healthcare knowledge through society exist, and multiple models for the translation of evidence into policy and practice have been articulated. Most are linear or cyclical and very few come dose to reflecting the dense and intricate relationships, systems and politicis of organizations and the processes required to enact sustainable improvements. This study illustrates how using complexity and network concepts can better inform knowledge translation (KT) and argue that changing the way we think and talk about KT could enhance the creation and movement of knowledge throughout those systems needing to develop and utilize it. 

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