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Implementation Science

Featured article: The Human Behaviour-Change Project: harnessing the power of artificial intelligence and machine learning for evidence synthesis and interpretation

New Content ItemBehaviour change is key to addressing the challenges facing human health and wellbeing and to promoting the uptake of research findings in health policy and practice. Using AI and ML, the Human Behaviour-Change Project aims to revolutionise our ability to synthesise, interpret and deliver evidence on behaviour change interventions.
 
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Articles

  1. Content type: Study protocol

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    Authors: Barbara W. Trautner, Pooja Prasad, Larissa Grigoryan, Sylvia J. Hysong, Jennifer R. Kramer, Suja Rajan, Nancy J. Petersen, Tracey Rosen, Dimitri M. Drekonja, Christopher Graber, Payal Patel, Paola Lichtenberger, Timothy P. Gauthier, Steve Wiseman, Makoto Jones, Anne Sales…

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Implementation Science is published continuously online-only. We encourage you to sign up to receive free email alerts to keep up to date with all of the latest articles by registering here.

Aims and Scope

Implementation Science aims to publish research relevant to the scientific study of methods to promote the uptake of research findings into routine healthcare in clinical, organisational or policy contexts.

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Editors-in-Chief

Anne Sales, Department of Veterans Affairs and University of Michigan, USA
Michel Wensing, University of Heidelberg, Germany

Featured editorial

Enhancing the reporting of implementation research

By Paul M. Wilson, Anne Sales, Michel Wensing, Gregory A. Aarons, Signe Flottorp, Liz Glidewell, Alison Hutchinson, Justin Presseau, Anne Rogers, Nick Sevdalis, Janet Squires and Sharon Straus

Published on: 8 February 2017

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