The growing promises surrounding AI innovations in healthcare sector require empirical studies to understand the motivations and experiences of professionals and patients in designing, adopting or rejecting these technologies. The Algorithmic Care Chair analyzes the deployment of AI in the healthcare system by coordinating sociological studies on the trajectories of algorithmic innovation in different specialties (e.g., emergency medicine, geriatrics, sleep disorders, physiology, environmental health) and institutions (nursing homes, private medicine, hospital) and across the various purposes of algorithms (e.g., diagnostic support, prediction of patient pathways, monitoring, therapeutic strategy support, public health surveillance). This exploration is carried out through the analysis of both existing and developing use cases.
Following an ethnographic approach (direct observations and qualitative interviews) and combining sociology of work, sociology of health and illness and STS, the Algorithmic Care Chair aims to :
1) Study the ways in which algorithms are designed, the « invisible work », the new activities and collaborations that are required throughout the « sociotechnical chain » for AI to function and make sense
2)Understand the contrasting uses, experiences and valuations of these systems by the different stakeholders as well as their impact on work organization, professional knowledge, decision-making and the tensions their deployment may give rise to.
The Algorithmic Care project, leveraging the sociological expertise of the PACTE laboratory, the former Algorithmic Society Chair, and the healthcare AI algorithm expertise of the HP2 laboratory, seeks to thoroughly investigate the algorithmization of health. As part of an interdisciplinary effort, the Chair seeks to anticipate the possible social consequences of algorithms by producing a critical analysis of the design and deployment of these technologies, paying attention to their failures, complexity and unexpected consequences. The Chair will also contribute to the broader debate on the limits of technoscientific solutions to current challenges facing the healthcare system.
ACTIVITIES
A postdoctoral researcher in sociology is expected to be hired to start an ethnographic study at the beginning of 2026. Two others contracts will be published in 2026.
EVENTS
September 5th 2025: Causal inference seminar - Grenoble
March 5th & 6th 2026: AlgoCare launching days – MACI - Grenoble
LIST OF SELECTED PUBLICATIONS
Ghis Malfilatre, M., & Louvel, S. (2025). A medical profession towards empowerment? The uncertain future of digitalization in private general practice. Social Science & Medicine, 365, 117575.
Ghis Malfilatre, M. (2024). Dans les paradoxes du virage numérique en santé. Juridiction professionnelle et pratiques de soin connectées en médecine d’urgence libérale. Anthropologie & Santé. Revue internationale francophone d'anthropologie de la santé, (28).
CHAIR PRESENTATION
License:
Unless otherwise stated, all documents are shared under the Creative Commons BY-NC-ND 4.0 license.
You may view and share them for non-commercial purposes, without modification, and with appropriate credit to the authors.
Published on October 6, 2025 Updated on October 6, 2025
Core members
Sébastien Bailly, Director of Research in Biostatistics, INSERM, HP2
Benoit Cret, Professor of Sociology, UGA, PACTE
Marie Ghis Malfilatre, Research Fellow in Sociology, CNRS, PACTE
Olivier Leroy, PhD student in Sociology (co-supervised by Séverine Louvel and Sébastien Bailly), PACTE
Séverine Louvel, Professor of Sociology at Sciences Po Grenoble-UGA, PACTE
Monique Mendelson, Senior Lecturer in Physiology, UGA, HP2
Matthieu Roustit, CHUGA, HP2
Associated members
Gilles Bastin, Professor of Sociology at Sciences Po Grenoble-UGA
Lorraine Goeuriot, Senior Lecturer in Computer Science, UGA, LIG
Clémence Leyrat, London School of Hygiene and Tropical Medicine
Pascal Mossuz, CHUGA, IAB
Research topics
Sociology of algorithmic innovation in healthcare ; organization of healthcare work ; invisible work ; knowledge-building ; decision-making ; health trajectories ; ethnographic studies.
Share the linkCopyCopiedClose the modal windowShare the URL of this pageI recommend:Consultable at this address:La page sera alors accessible depuis votre menu "Mes favoris".Stop videoPlay videoMutePlay audioChat: A question? Chatbot Robo FabricaMatomo traffic statisticsX (formerly Twitter)