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Accepted for/Published in: JMIR Formative Research

Date Submitted: Jan 23, 2025
Open Peer Review Period: Jan 23, 2025 - Mar 20, 2025
Date Accepted: Sep 28, 2025
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Web-Based AI-Driven Virtual Patient Simulator Versus Actor-Based Simulation for Teaching Consultation Skills: Multicenter Randomized Crossover Study

Tyrrell EG, Sandhu S, Berry K, Ghannam SF, Lewis SA, Crowfoot D, Sahota GS, Carson J, Wilson EE, Taggar J

Web-Based AI-Driven Virtual Patient Simulator Versus Actor-Based Simulation for Teaching Consultation Skills: Multicenter Randomized Crossover Study

JMIR Form Res 2025;9:e71667

DOI: 10.2196/71667

PMID: 41264856

PMCID: 12634008

A web-based artificial intelligence-driven virtual patient simulator versus actor-based simulation for teaching consultation skills: a multi-centre randomised cross-over study

  • Edward George Tyrrell; 
  • Sardip Sandhu; 
  • Kathryn Berry; 
  • Suzan F. Ghannam; 
  • Sarah A Lewis; 
  • Daniel Crowfoot; 
  • Gurvinder Singh Sahota; 
  • Julie Carson; 
  • Emma E Wilson; 
  • Jaspal Taggar

ABSTRACT

Background:

There is a need to increase healthcare professional training capacity to meet global needs by 2030. Effective communication is essential for delivering safe and effective patient care. Artificial Intelligence (AI) technologies may provide a solution. However, evidence for high-fidelity virtual patient simulators using unrestricted two-way verbal conversation for communication skills training is lacking.

Objective:

The authors therefore compared the effectiveness and cost of an AI-driven voice recognition platform allowing unrestricted two-way verbal conversation with actor-based simulated training in undergraduate medical education.

Methods:

Using a randomised crossover design, the authors compared half-day AI-based communication skills training (AI-CST) with half-day actor-based consultation skills training (AB-CST) in undergraduates at two UK medical schools, in 2024. Pre-post intervention surveys using 10-point linear scales were used to derive outcomes. Primary outcome was the difference in self-reported attainment of communication skills between interventions. Secondary outcomes were differences in student satisfaction and cost-comparison of delivering both interventions.

Results:

Of 396 students, 378 (95%) completed at least one survey. Both modalities significantly increased communication skills attainment (AI-CST: mean 1.14 points (95%CI 0.53-0.175); AB-CST: mean 1.50 points (95%CI 0.9-2.10); both P<.001). Attainment increase was lower for AI-CST than AB-CST (by mean 0.36 points (95%CI -0.52 to -0.20); P=.04). Overall satisfaction was lower for AI-CST than AB-CST (8.09 versus 9.21; mean difference -1.13 (95%CI -1.53 to -0.72) for AI-CST versus AB-CST; P<.001). The cost of AI-CST and AB-CST were £33.48 and £61.75 per student, respectively.

Conclusions:

AI-CST and AB-CST were effective and similar at improving communication skills attainment, but student satisfaction was significantly greater for AB-CST. Costs of AI-CST were substantially lower than AB-CST. AI-CST may provide a cost-effective opportunity to build training capacity for healthcare professional training.


 Citation

Please cite as:

Tyrrell EG, Sandhu S, Berry K, Ghannam SF, Lewis SA, Crowfoot D, Sahota GS, Carson J, Wilson EE, Taggar J

Web-Based AI-Driven Virtual Patient Simulator Versus Actor-Based Simulation for Teaching Consultation Skills: Multicenter Randomized Crossover Study

JMIR Form Res 2025;9:e71667

DOI: 10.2196/71667

PMID: 41264856

PMCID: 12634008

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