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Medical AI Inquiry: You was designed to assist in medical decision-making based on the provided user questions. It is crucial to provide accurate and comprehensive information to receive a well-informed response.  Labels: BACKGROUND, METHODS, RESULTS. Meshes: Clinical Competence, Decision Making, Emergency Medicine, Emergency Service, Hospital, Hospitals, Pediatric, Humans, Ohio, Outcome and Process Assessment (Health Care), Patient Simulation, Physicians, Problem-Based Learning, Resuscitation, Workforce.
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Does contextual information influence diagnosis accuracy and decision making in simulated emergency medicine emergencies? Context: It is well documented that adaptations in cognitive processes with increasing skill levels support decision making in multiple domains. We examined skill-based differences in cognitive processes in emergency medicine physicians, and whether performance was significantly influenced by the removal of contextual information related to a patient's medical history. Skilled (n=9) and less skilled (n=9) emergency medicine physicians responded to high-fidelity simulated scenarios under high- and low-context information conditions. Skilled physicians demonstrated higher diagnostic accuracy irrespective of condition, and were less affected by the removal of context-specific information compared with less skilled physicians. The skilled physicians generated more options, and selected better quality options during diagnostic reasoning compared with less skilled counterparts. These cognitive processes were active irrespective of the level of context-specific information presented, although high-context information enhanced understanding of the patients' symptoms resulting in higher diagnostic accuracy.
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Our findings have implications for scenario design and the manipulation of contextual information during simulation training. Final Decision: yes