Intelligence artificielle dans le réseau de la santé : ce que révèle le sondage mené auprès des membres de la FIQ
19 February 2026Artificial intelligence is already changing workplaces and raising important issues for the organization of work in the health network. Aware of these impacts and attentive to potential opportunities and abuses, the FIQ has collaborated with the International Observatory on the Societal Impacts of AI and Digital Technologies (OBVIA) and university partners to rigorously document the experiences of its members. The results of this study will inform future work and strengthen the FIQ’s ability to protect healthcare professionals in a context where AI is playing an increasingly significant role.
Study results
- AI is already present in workplaces, but often in discrete or unofficial ways.
- The perceived impacts vary:
- For some, AI makes certain tasks easier;
- For others, it makes certain tasks harder or more complex.
- Members are signalling that there is a lack of transparency around the use of AI in institutions.
- Few professionals say they were consulted or informed before technological projects were rolled out.
- The majority are not afraid of being individually replaced, but some have expressed concerns about the future of the activity sector if AI develops without clear guidelines.
A solid foundation for upcoming work
The survey results constitute an essential reference point for better understanding the experience of healthcare professionals regarding AI. They will help to inform analyses and guide the FIQ’s next steps, especially with information, guidance and frameworks for AI related practices.
By rigorously documenting its members’ experiences, the FIQ is ensuring its work is based on concrete, informed and field-tested evidence.
Methodology
The study is based on an online survey conducted from October 3 to 7, 2025, among 609 FIQ members. It was conducted in collaboration with OBVIA and a university research team (HEC Montréal, UQO, Université de Montréal).
The questionnaire focused in particular on:
- exposure to artificial intelligence and algorithmic management;
- individual uses of AI;
- perceived impacts on workload, professional autonomy and work organization;
- transparency, implementation and staff consultation;
- employment-related fears.