Optimizing Clinical Reasoning in Time-Critical Scenarios: A data-driven multimodal approach (CRETIC)
Description of the granted funding
CRETIC aims to optimize emergency training of healthcare students and trainees. I will develop an innovative gamified platform that combines 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
Show moreStarting year
2024
End year
2028
Granted funding
Funder
Research Council of Finland
Funding instrument
Academy research fellows
Päättäjä
Scientific Council for Social Sciences and Humanities
13.06.2024
13.06.2024
Other information
Funding decision number
360746
Fields of science
Computer and information sciences
Research fields
Laskennallinen data-analyysi