Game-based learning to improve diagnostic accuracy: a pilot randomized-controlled trial.

Area of Science:

• Medical Education
• Diagnostic Reasoning
• Digital Learning Technologies

Background:

• Diagnostic reasoning is a critical skill for clinicians.
• Traditional medical education methods may not fully optimize diagnostic skill development.
• Innovative approaches are needed to enhance clinical decision-making.

Purpose of the Study:

• To evaluate the effectiveness of online game-based learning (GBL) for improving diagnostic reasoning.
• To assess the impact of GBL using natural frequencies and feedback.
• To conduct a pilot study in a diverse group of medical professionals.

Main Methods:

• A multicenter randomized-controlled trial comparing online GBL to traditional education.
• Participants included medical students, residents, physicians, and nurse practitioners.
• Diagnostic accuracy was measured using realistic case vignettes.

Main Results:

• The GBL group showed significantly higher diagnostic accuracy scores immediately after training compared to the control group (59.4 vs. 37.6, p=0.0005).
• Improved accuracy in the GBL group persisted at one-month and three-month follow-ups.
• The majority of participants found GBL enjoyable and recommended it, believing it improved test interpretation.

Conclusions:

• A single session of online game-based learning substantially improved diagnostic accuracy in medical trainees and practicing clinicians.
• The positive effects of GBL on diagnostic reasoning skills were sustained over a three-month period.
• GBL represents a promising tool for enhancing clinical diagnostic capabilities.