Enhancing GP Consultation Skills Training: Educational Evaluation of a Conversational AI Innovation for Simulated Consultation Assessment Preparation

Christopher Jacobs, K. Hazra, A. Singh

Research output: Contribution to journalArticlepeer-review

Abstract

Background: Simulated Consultation Assessment (SCA) preparation is critical for GP trainees, with the traditional approach relying on trained medical actors. However, limited actor availability, scheduling constraints and high costs often restrict practice opportunities. This evaluation aimed to assess a conversational artificial intelligent (AI) system as an educational tool for GP consultation skills training, examining its acceptability, perceived educational impact and implementation considerations for training. Methods: We conducted an educational innovation evaluation with GP trainees and educators (n = 22) following implementation of a conversational AI simulation system for SCA preparation. The evaluation employed a mixed-methods design incorporating validated educational assessment measures across four domains: clinical authenticity, educational utility, user experience and technical performance. Participants’ perspectives were captured through structured questionnaires and open-ended feedback. Implementation considerations were assessed through cost-comparison analysis with traditional training methods. Results: This educational innovation demonstrated strong acceptability among users, with particularly positive evaluations for clinical content authenticity (median 4.5, IQR 4–5) and educational value (median 4.5, IQR 4–5). Qualitative feedback revealed that the innovation successfully addressed key training needs, particularly around accessibility and practice frequency. More experienced educators (11+ years) rated the innovation significantly higher for educational utility (p < 0.05), suggesting potential for curriculum integration. The implementation analysis revealed resource advantages, with 24–84% cost reductions compared to traditional methods. Conclusion: This conversational AI innovation offers GP educators a practical, cost-effective solution to training challenges, potentially addressing the modality mismatch between face-to-face training and video-based examinations. Implementation should focus on integration as a complementary curriculum tool, with ongoing evaluation of educational outcomes.

Original languageEnglish
Number of pages9
JournalEducation for Primary Care
Early online date4 Sept 2025
DOIs
Publication statusE-pub ahead of print - 4 Sept 2025

Bibliographical note

Publisher Copyright:
© 2025 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

Data Availability Statement

The data that support the findings of this study are availablefrom the corresponding author upon reasonable request..

Acknowledgements

The authors would like to thank the GP trainees and educators who participated in this study, and the GP training programme directors who facilitated access to participants. Additionally, SimFlow.ai for use of their platform and providing conversational AI resource for the study.

Funding

This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.

Keywords

  • General practice education
  • clinical communication training
  • consultation skills
  • educational technology
  • healthcare simulation
  • simulated clinical assessment

ASJC Scopus subject areas

  • Family Practice

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