How professional logics shape AI implementation in mental healthcare: a qualitative study of an LLM-enhanced chatbot
Silvia Rizzi, Stefano Fait, Mattia Franzin, Leonardo Sanna · 2026
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Description
Silvia Rizzi, Stefano Fait, Mattia Franzin, and Leonardo Sanna wrote a 2026 paper on a chatbot for mental health support in Italy. The chatbot pairs fixed teaching content, drawn from a World Health Organization self-help course, with a large language model that can chat within set limits. Tools like this promise wider access to care, but clinics must accept them first.
The team ran four focus groups with forty-eight clinicians, most of them psychotherapists and the rest general doctors. Each group tried the prototype, then shared written thoughts and group findings. The paper studies how each profession's habits and values shape what they expect from the tool. Those views decide whether such a chatbot gets used in daily care or left on the shelf.
Catalog record
| CREATOR | Silvia Rizzi, Stefano Fait, Mattia Franzin, Leonardo Sanna |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 65 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |