The impact of AI on healthcare ecosystems

Project leaders: Patrick Cohendet (HEC Montréal), Thierry Burger-Helmchen (University of Strasbourg, BETA), and Laurent Simon (HEC Montréal)

Partners teams:
Fabiano Armellini (Polytechnique Montréal), Margaret Dalziel (University of Waterloo), and Sophie Veilleux (Laval University)
Elicia Maine (Simon Fraser University), Margaret Dalziel (University of Waterloo), Anita McGahan (University of Toronto), Nancy Gallini (University of British Columbia)

Research Themes: 1,2,3,4
Start and end dates: March 2019 to March 2022

With this study, we aim at developing an in-depth analysis of how artificial intelligence (AI) contributes to transforming the healthcare ecosystem, and reciprocally how the development of healthcare ecosystems and their governance models contribute to shaping the ways innovations in AI are conducted. Through its capacity to analyze massive amounts of data to better understand, detect and treat disease, AI has the potential to change the culture, organizational structure and management of the entire healthcare ecosystem. The analysis will seek to identify how AI may bring about new types of relationships between patients, clinicians, caregivers, professionals, researchers, decision-makers and new communities of actors. We ultimately will attempt to show how AI transforms the innovation practices of the health ecosystem. We will focus primarily on the case of Montreal throughout this project, but not exclusively so, building on the researchers’ linkages with multiple academic and industry partners.


Organizing Creativity for Innovation: Situated Practices and Process Perspectives

Schuessler, E., Svejenova, S. and Cohendet, P. (2021), « Organizing Creativity for Innovation: Situated Practices and Process Perspectives », Schuessler, E., Cohendet, P. and Svejenova, S. (Ed.) Organizing Creativity in the Innovation Journey (Research in the Sociology of Organizations, Vol. 75), Emerald Publishing Limited, Leeds, pp. 1-16.

Ce contenu a été mis à jour le 2024-02-09 à 10 h 32 min.