Date of this Version
We describe the design and implementation of a clinical decision support system for assessing risk of cerebral vasospasm in patients who have been treated for aneurysmal subarachnoid hemorrhage. We illustrate the need for such clinical decision support systems in the intensive care environment, and propose a three pronged approach to constructing them, which we believe presents a balanced approach to patient modeling. We illustrate the data collection process, choice and development of models, system architecture, and methodology for user interface design. We close with a description of future work, a proposed evaluation mechanism, and a description of the demo to be presented.
Clinical Decision Support, Vasospasm, Machine Learning, Mixed Methods, Patient Modeling, Design, Experimentation, PRECISE_paper, PRECISE_CPS_Medical
Date Posted: 21 November 2012
This document has been peer reviewed.