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Published on: August 2, 2018
Towards the Consideration of Diagnostic Delay in Model-Based Clinical Decision Support
Jan Gaebel1, Mario A Cypko1, Steffen Oeltze-Jafra1
1Innovation Center Computer Assisted Surgery, Faculty of Medicine, University Leipzig, Leipzig, Germany.
Abstract:
Diagnostic delay involves the peril of information becoming outdated. It is a challenging task to quantify the up-to-dateness of clinical information and the consequences of diagnostic delay with the goal of considering them in clinical decision support. We propose an approach to integrating the up-to-dateness of clinical information in a model-based therapy decision support system.
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