Skip to content

Virtual Patients to train Regional Anaesthesia Informed Consent using Generative AI (The VIRTUE-RA study)

The impact of generative AI virtual patient simulation on teaching informed consent for regional anaesthesia in junior anaesthesics trainees and their performance

Status
Not yet recruiting
Phases
Unknown
Study type
Interventional
Source
ANZCTR
Registry ID
ACTRN12626000990325
Acronym
VIRTUE-RA
Enrollment
60
Registered
2026-08-12
Start date
2026-10-01
Completion date
2027-11-01
Last updated
2026-08-24

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None listed

Brief summary

Regional anaesthesia involves using needles to inject a drug close to target nerves. As this carries risks, doctors must obtain verbal and/or written informed consent from patients, meaning they agree while understanding the procedure and associated risks, benefits, and alternatives. However, clinical practise for this skill is often opportunistic, inconsistent, or informal, leading to generative AI-based virtual patients being considered as an emerging teaching technology. This project aims to explore if a generative AI-based virtual patient can be effective in teaching informed consent for regional anaesthesia. First-year trainee anaesthetists will be assessed for consenting skill before and after a 60-minute AI virtual patient training session to determine this.

Interventions

The training exposure is delivered using SimChatTM, a commercial video-based GenAI-powered virtual patient system. Trainees will conversationally interact with AI avatars who automatically respond after each input. Trainees will attempt to obtain informed consent for regional anaesthesia in each case, which involves disclosing risks, benefits, and alternative options for that particular patient’s context. The system has adaptive dialogue that allows each interaction to be unique and evolves acco

The training exposure is delivered using SimChatTM, a commercial video-based GenAI-powered virtual patient system. Trainees will conversationally interact with AI avatars who automatically respond after each input. Trainees will attempt to obtain informed consent for regional anaesthesia in each case, which involves disclosing risks, benefits, and alternative options for that particular patient’s context. The system has adaptive dialogue that allows each interaction to be unique and evolves according to the questions and answers provided in real-time. We will program ten RA-relevant patient histories with real-life clinical features into the system. They will have different personality traits and cultural backgrounds, to provide the platform with a realistic range of patient presentations relevant for RA. A minimum of two sessions will be completed by each trainee within a 60 min training period. This training period will only occur once. Adherence to training is live monitored by investigators, and also recorded within SimChat as transcripts and user statistics on number of AI profiles completed. At each recruitment site, equipment can be a personal computer or tablet with microphone and speaker enabled to allow speaking and listening of the conversation. Thus, participants speak into the microphone, the AI will respond, enabling free conversation. At the end of every session, SimChat’s will provide automated feedback according to the Objective Structured Clinical Examination (OSCE) format used throughout the study. At the end of the 60min, a debrief session will also be conducted by faculty to provide further feedback, and respond to any questions.

Sponsors

University of New South Wales
Lead SponsorUniversity

Study design

Allocation
Non-randomised trial
Intervention model
Single group
Primary purpose
Educational / counselling / training

Eligibility

Sex/Gender
All
Age
18 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

First year junior anaesthetic trainees

Exclusion criteria

If a trainee was previously involved in Phase 1 (pilot), they are excluded from participation in Phase 2 (definitive).

Outcome results

None listed

Source: ANZCTR · Data processed: Sep 19, 2026