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Training mental health caregivers: how AI avatars change the game

  • Writer: Christèle Simeoni
    Christèle Simeoni
  • 21 hours ago
  • 4 min read

AI & mental health: train caregivers thanks to AI avatars


Mental health is under strain, and so are the teams. Faced with the increase in psychological disorders and the lack of time for professionals, AI avatars offer an immersive training ground to prepare caregivers, secure care, and better detect weak signals, without ever replacing humans.


Today, in France, 13 million people are affected each year by a mental disorder according to Santé publique France, and the WHO recalls that depression has become the leading cause of disability in the world.


In care facilities, professionals see a continuous increase in solicitation, while anxiety and depressive disorders among young people have increased by more than 50% in recent years.


Demand is increasing, and situations are becoming more complex


Faced with this reality, the training of future caregivers is more strategic than ever. Yet, nearly 70% of mental health students report lacking real practice before their first clinical immersion (ENSP), and many say they do not feel ready to handle a crisis situation. To this is added a lack of time in teams: studies by the DREES show that mental health professionals are among the professions most exposed to mental exhaustion, with levels of anxiety and emotional fatigue higher than those observed in the working population.


simulation de discussion étudiant medecine psychiatrie avec un avatar IA pour formation


It therefore becomes essential to offer learners a space where they can train, test, feel and start again... before finding oneself alone facing a person in great vulnerability.



Simulation: a lever whose effectiveness is proven


Simulation in health is not new, the Haute Autorité de santé recognizes it as an essential method for developing clinical and relational skills, what is new is the arrival of tools capable of going much further in immersion.


Studies on immersive simulation are unanimous: memorization progresses by 40% when a scenario is experienced rather than simply explained (Stanford). Confidence also increases significantly: the AACN estimates that a learner gains up to 34% additional confidence after several simulated scenarios.


And decision-making improves on average by 27%, because the brain encodes better what it experiences.


In other words: we remember better when we experience things than when we read them.  And in mental health, where everything relies on relationship, posture, listening, and analyzing weak signals... this difference changes everything.



simulation de discussion étudiant medecine psychiatrie avec un avatar IA pour formation


AI avatars: 'simulated patients' that allow for risk-free practice


This is where conversational AI avatars come into their own.  They allow students, interns, nurses or social workers in training to confront a range of situations that no lecture course will ever be able to cover.


An avatar can embody a teenager experiencing a school break, a person exhausted by burnout who minimizes their symptoms, a senior in a situation of isolation, or even someone who expresses suicidal thoughts indirectly. Reactions vary depending on the words used, tone, hesitations. The learner must find the right posture, dare to ask certain questions, adjust their language, soothe, rephrase.


It’s a training that resembles reality—but never puts a real person in danger.


And above all, the student can start again. Repeat a difficult interview ten times if he wishes. Test something else, see what changes, gain confidence. A possibility impossible to reproduce in real situations.



avatar IA domaine de la santé

AI analysis: a major asset for trainers and supervisors


The other strength of these tools is what happens after the simulation.


At VRAI Learning, each avatar is linked to a dashboard that automatically records and analyzes the conversation.


The system produces structured summaries, extracts key moments, identifies relevant or problematic formulations, and detects weak signals such as an emotional change, avoidance, or a sentence that may indicate a risk.


For teachers and mentors, it changes the way of training.  Instead of relying solely on their feelings or memories of a role-playing game, they access an exact trace: what was said, how, at what moment, with what consequences in the course of the exchange. They can track a student’s progress over several weeks, identify those who need additional help, or compare different approaches to the same scenario.


It’s enhanced pedagogy: more precise, more effective.




And beyond training: a prevention tool for structures that lack resources


The primary objective remains the training of experts and future caregivers.  But this same technology can also become a support for associations, listening centers or psychosocial structures that lack staff.


In these environments where teams are small, the avatar is never presented as a substitute for a professional. It serves as an early point of contact, within a strictly defined framework. Above all, thanks to the data collected and analyzed in real time, AI can identify worrying patterns, for example the expression of deep despair, the evocation of suicidal thoughts, a sudden social breakdown, and raise an immediate alert to the referent or the administrator.


This sentinel role is based on a simple fact: the earlier weak signals are detected, the faster and more appropriate human intervention can be.


The AI never takes over.  She helps not to miss out on someone who is doing poorly what the teams say they fear the most, especially when they are understaffed.


Train differently, accompany differently


Everything converges: the increase in needs, the pressure on teams, the urgency to strengthen training, and the need to better detect risks upstream.


AI avatars are not a magic solution.  But they become a concrete, credible and powerful tool to prepare the professionals of tomorrow and support those of today.  They allow for multiple scenarios, to analyze exchanges with a precision impossible to obtain by hand, to personalize learning paths, and to offer organizations a way to strengthen their prevention despite limited resources.


We have been developing for several months in collaboration with experts, AI conversational avatars dedicated to mental health training, and a smart dashboard that transforms the conferred



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