Theme 3: Knowledge Transfer and Implementation
“Knowledge without KT means wasted opportunities for better health and a better health system.”
Brenda Wilson, Associate Dean, Community Health and Humanities, Faculty of Medicine, Memorial University.
Kristine Votova, Project Director, Island Health – Vancouver Island Health Authority
Timothy Caulfield, Faculty of Law and School of Public Health, University of Alberta (@CaulfieldTim)
Anne-Marie Laberge, Department of Pediatrics, Université de Montréal (publications)
France Légaré, Department of Family Medicine, Université Laval (website, @SDM_ULAVAL)
Jacques Simard, Centre Hospitalier de l’Université Laval (CHUL), Université Laval (publications)
Sophie Veilleux, Département de management, Université Laval
The health, social, and economic impacts of ’omics based technologies depends on how well they are used in practice. This means that implementation science and knowledge translation are important for every precision medicine project. Theme 3 will work towards (1) strengthening the links between KT/I researchers across the Genome Canada Genomic and Personalized Health (GAPH) research teams to consolidate their scarce expertise, (2) promoting understanding and coherent integration of KT/I in science-led projects, and (3) enhancing the speed and extent of implementation of outputs and deliverables through relationship-building with key stakeholders and major KT-oriented entities, such as the SPOR SUPPORT units.
(1) Develop a community of practice that enhances the KT component of Genome Canada projects
(2) Secure more extensive and effective implementation of the research findings from the GAPH projects in research clinical practice
(3) Promote greater inter and intra team understanding of KT science and issues
(4) Leverage external relationships to increase the resources available for, and the effectiveness of, KT research and practice in precision medicine.
Objectives will be achieved through detailed KT needs assessment and prioritisation within the 17 GAPH projects, followed by the development of Network-wide teams to address the high priority challenges, drawing on best practice from the Network and best research evidence. Teams will provide support to GAPH projects and develop educational resources to facilitate dissemination of best practices.