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Visualizing Multi-Step Decision-Making at a Glance: Pairing Choose Your Own Adventure Style Simulated Cases with a
Caitlin D Hanlon1, Harry R Goldberg2, Stacy L Cooper3
1Biology Department, Quinnipiac University, 275 Mt Carmel Ave, Hamden, CT USA.
Choose Your Own Adventure (CYOA) case studies combined with dynamic mapping tools effectively assess clinical reasoning in medical education. This innovative approach visualizes decision-making pathways, identifying expert performance and adverse outcomes in simulated patient care scenarios.
Area of Science:
- Medical Education
- Clinical Reasoning Assessment
- Health Professions Education
Background:
- Assessing clinical reasoning in dynamic, real-world scenarios is challenging.
- Traditional methods like multiple-choice questions inadequately simulate complex decision-making.
- Choose Your Own Adventure (CYOA) case studies offer a promising alternative for simulating non-linear decision processes.
Purpose of the Study:
- To evaluate the effectiveness of pairing CYOA-style clinical cases with dynamic mapping tools for assessing clinical reasoning.
- To visualize user decision-making patterns in simulated high-dose methotrexate treatment for pediatric leukemia.
- To compare decision-making behaviors across different user cohorts and interventions.
Main Methods:
- Development of CYOA branched narrative case studies simulating clinical decision-making.
- Utilization of R-based DiagrammeR software to map user decision pathways post-case completion.
- Analysis of visualized decision maps to identify user pathways and behaviors.
Main Results:
- Decision maps effectively visualized user pathways and decision-making behaviors at each stage.
- 25.9% of users demonstrated expert-level decision-making; 51.9% made decisions leading to adverse outcomes.
- Rapid generation (under 10 seconds) of visualizations and data tables for immediate performance insights.
Conclusions:
- Combining CYOA case studies with dynamic mapping tools offers a nuanced and interactive method for assessing clinical reasoning.
- This approach provides valuable insights into user performance and decision-making patterns.
- The methodology has potential for improving medical education and clinical skills assessment.
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