A computer-assisted learning tool designed to improve clinical problem-solving skills

Area of Science:

• Medical Education
• Computer-Assisted Instruction
• Emergency Medicine

Background:

• Medical students require effective training for acute chest pain diagnosis.
• Traditional methods may not fully address the complexity of differential diagnosis in emergency medicine.

Purpose of the Study:

• To develop and evaluate a computer-based program to enhance acute chest pain differential diagnostic skills in emergency medicine rotations.
• To assess the impact of interactive software on diagnostic accuracy.

Main Methods:

• Developed a computer-based teaching program using expert system shell software.
• Students created and refined differential diagnostic protocols for acute chest pain.
• Utilized a training case data bank for interactive performance assessment and protocol modification.

Main Results:

• Students using the program showed significantly higher diagnostic accuracy compared to a control group (P < .018).
• The interactive feedback loop of protocol refinement and reassessment led to skill improvement.

Conclusions:

• Computer-based learning tools, particularly interactive expert systems, can effectively improve diagnostic skills in medical education.
• This approach offers a promising supplement to traditional clinical rotations for enhancing differential diagnosis capabilities.