The long-term goal of our research is to implement decision support for dynamic and team-based critical care settings that improves performance, reduces errors, and prevents adverse outcomes. Current projects are focusing on designing, implementing, and evaluating a context-aware recommender system that (1) recognizes and tracks the team’s activities using sensor data, the output from patient monitors, and data captured from digital devices, (2) derives recommendations that support decision making, and (3) displays these recommendations in real time on shared displays.

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