About · Occupational medicine · Artificial intelligence
Charles Broutin, occupational physician working at the intersection of AI and real work.
As an occupational physician, AI lead for the French Society of Occupational Health, author and trainer, I develop resources to examine professional AI uses and their effects on health.
Dr Charles Broutin
Occupational physician · AI lead for the French Society of Occupational Health
01 / Background
Occupational medicine · University of Lille
Clinical and preventive training focused on the links between health, activity and organisation.
University diploma in artificial intelligence in health
Additional training to understand models, their uses and limits in health.
Medical residency thesis · Bossons Futé Prize
Research on using large language models to identify wording defects in occupational physician recommendations.
Physician, trainer, author and AI lead
Research, monitoring and knowledge-sharing devoted to AI uses at work.
02 / Publications
Research connecting language models, work quality and prevention.
Two publications addressing different questions: the psychosocial effects of introducing LLMs and their use as a second reader of medical wording.
Large language models and emerging psychosocial issues at work.
The article proposes examining the introduction of LLMs through the six factors in the Gollac report: intensity, emotional demands, autonomy, social relationships, value conflicts and insecurity.
Archives des Maladies Professionnelles et de l’Environnement, 86, 102877.
Open the DOI ↗Artificial intelligence to improve the precision of occupational physician recommendations.
The study evaluates a language model as a second reader for identifying several categories of defects, without replacing work-post analysis or the occupational physician’s decision.
Références en Santé au Travail, TF 335, no. 186, June 2026.
Read the article on the INRS website ↗In both cases, the aim is not to delegate judgement to the model. It is to understand what its introduction adds to human work, what it enables and what it requires people to verify.
03 / Speaking, training & knowledge-sharing
Train, document and support stakeholders.
The aim is to make AI uses understandable and open to discussion by the professionals who design, manage or experience them.
Team training.
Design and delivery of training for occupational health and prevention services and multidisciplinary teams.
Institutional contribution.
Monitoring and resource-sharing as part of the SFST AI lead role and the newsletter co-written with Dr Sara Trinh.
Deployment analysis.
Work on psychosocial risks, quality of use, pilot conditions and monitoring effects in real work.
AI, work and prevention
Psychosocial risks, language models, deployment, use evaluation and governance.
Professionals and groups
OHS services, executives, HR teams, employee representatives, prevention professionals and institutions · conference, workshop, training or panel discussion.
French and English
In-person or remote sessions adapted to the organisation’s context and objectives.
Would you like to propose a discussion or project?
Briefly describe the context, intended audience, proposed format and questions you would like to explore.
Contact Dr Charles Broutin on LinkedIn ↗- team training or awareness-raising
- conference, panel discussion or workshop
- lessons from an AI deployment
- research and questionnaire evaluation
- publication or resource proposal