Making civil psychiatric trajectories readable 🏹
A secure workspace to understand, organize, and clarify complex records—without replacing the patient’s voice.
The goal is simple: a person should understand their own trajectory better than the institutions that have interpreted them.
For the person, the real challenge is not to “understand their file”, but to have it understood, heard, and taken seriously.
Learn moreAbout Studiorium.ai
Making civil psychiatric trajectories readable.
Studiorium.ai is an independent project founded in Québec and developed by Patric (ia) Bergeron, a jurist (UdeM) with direct experience of civil psychiatry. The project also benefits from the pro bono contribution of a U.S.-based AI consultant, who provides technical and conceptual support without any commercial agreement or formal partnership.
The development of the project also benefits from the conceptual nectar provided by ChatGPT 🍯, used as a tool for exploration, structuring, and documentary thinking.
Why Studiorium.ai
In civil psychiatry, decisions often rely on large, fragmented, and difficult-to-navigate records. Patients must make sense of notes, reports, and administrative decisions that may span 20 or 30 years. This is not only a medical challenge: it is an issue of evidence, narrative coherence, and fairness.
What the platform does
- Gather relevant documents in one secure workspace.
- Reconstruct the chronology and key events.
- Highlight gaps, inconsistencies, and unclear segments.
- Help patients prepare clear and structured explanations for legal or clinical contexts.
The AI does not make decisions on behalf of patients. Its role is to structure, contextualize, and support the comprehension of complex records.
Where we are now
The project is currently in its internal prototyping phase. External expertise — legal, ethical, or academic — has inspired the conceptual framework, but these are not formal collaborations.
Studiorium.ai is currently documented and prototyped inside a Jupyter Notebook environment, ensuring transparent traceability of reasoning and technical decisions.
Contact
To follow the development of the project or share feedback, please write to: [email protected].