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Clinical decision support systems and other health information technologies are being implemented in healthcare organizations to enhance clinician performance by helping to overcome the limits of human cognition. In spite of gains achieved with these systems, significant problems remain, including unexpected complexity and sometimes harmful effects, and persistent use of paper-based cognitive artifacts. This panel will explore current research that is meant to help us better understand the implications of clinical decision support and cognitive support, and develop novel approaches that are intended to take better advantage of the complementary capabilities of human and machine cognition.
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Gorman et al. (2010) studied this question.
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