Using a simulation centre to evaluate preliminary acceptability and impact of an artificial intelligence-powered clinical decision support system for depression treatment on the physician–patient interaction

Background Recently, artificial intelligence-powered devices have been put forward as potentially powerful tools for the improvement of mental healthcare. An important question is how these impact physician-patient interaction. Aims Aifred an clinical decision support system (CDSS) treatment major depression. Here, we explore use a simulation centre environment in evaluating usability Aifred, particularly its on physician–patient Method Twenty psychiatry and family medicine attending staff residents were recruited to complete 2.5-h study at interaction with standardised patients. Each physician had option using CDSS inform their choice three 10-min scenarios patients portraying mild, moderate severe episodes Feasibility acceptability data collected through self-report questionnaires, scenario observations, interviews patient feedback. Results All 20 participants completed study. Initial results indicate that tool was acceptable clinicians feasible during encounters. Clinicians indicated willingness real practice, significant degree trust system's predictions assist selection, reported helped increase understanding treatment. The allowed evaluation tool's Conclusions direct observations clinician clinician–patient before studies. It may therefore offer useful early testing new technological tools. present will further development training materials.