“Applied network approaches to diffusion of health innovations”
James Dearing is Professor and Chairperson of the Department of Communication at Michigan State University. He specializes in the diffusion of innovations, and the use of diffusion principles to disseminate and effectively implement and sustain worthy innovations. He studies the diffusion of innovations of various types in areas such as STEM education, cancer communication, and global health. He also applies lessons from the diffusion literature to the purposive design of innovations to heighten the likelihood of uptake, implementation, and sustained use by targeted plausible adopting organizations and individuals.
Frontiers for Network Analysis in Health Services Research and Implementation Science
Health services and systems researchers are increasingly interested in studying the role and utilizing the power of social relations. Social networks have been studied to inform, promote, and evaluate the implementation and effectiveness of health interventions.
The focus for this year’s Health Services, Systems & Policy Seminar Series at the Institute of Health Policy, Management, and Evaluation (IHPME), University of Toronto is on applications of social network analysis techniques and theories to study health services and systems. The series will engage Canadian and international scholars to discuss empirical and theoretical efforts to highlight the promise and potential, caveats, and limitations of network analysis in the field.
In person or webinar presentations and Q/As will be broadcast online, and will be archived on the IHPME website.
Please consider forwarding this information to any colleagues who might be interested. If you’d like to receive notifications about future talks in the series please send an email to firstname.lastname@example.org
View the recorded lecture here:
Webinar Login Details via Adobe Connect:
|Attendee URL||Video & Audio: https://ihpme.adobeconnect.com/hsr-seminars/
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|Time & Date||11/8/2017 4:00 PM – 5:30 PM
(GMT-05:00) Eastern Time (US and Canada)
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