CRETIC

Optimizing Clinical Reasoning in Time-Critical Scenarios: A data-driven multimodal approach

Abstract: CRETIC aims to optimize emergency training of healthcare students and trainees. An innovative gamified platform will be developed combining virtual patients and elements of educational escape rooms to simulate clinical emergencies. Data from multiple sources (physiological sensors, questionnaires and digital logs) will be collected to capture the full breadth of the dynamics of the clinical reasoning process. The data will be analyzed using the latest temporal learning analytics and explainable artificial intelligence methods to map the clinical reasoning process and the factors that lead to successful and effective decision-making. The proposal will result in an open scalable platform that will dramatically improve the training of medical emergencies, offer personalized insights into effective decision-making, provide a safe environment for practicing challenging clinical situations, and ultimately decrease medical errors, one of the leading causes of death worldwide.

Budget: 606,199 €

PI: Sonsoles López-Pernas

Call: Academy Research Fellowship 2024

Work packages

• WP1. Participatory co-creation of the gamified high-fidelity VP platform

• WP2. Temporal unfolding of clinical reasoning

• WP3. Multimodal approach

• WP4. Personalized feedback