Departmental Papers (CIS)
Document Type
Conference Paper
Date of this Version
1-2012
Abstract
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.
Keywords
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.
Comments
Alex Roederer, Andrew Hicks, Enny Oyeniran, Insup Lee, and Soojin Park. 2012. Clinical decision support for integrated cyber-physical systems: a mixed methods approach. In Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium (IHI '12), Miami, FL. doi: 10.1145/2110363.2110476
Conference Site: https://sites.google.com/site/web2011ihi/
© ACM, 2012. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium.