Date of this Version
Alex Roederer, Andrew R. Hicks, Enny Oyeniran, Insup Lee, and Soojin Park, "Clinical Decision Support for Integrated Cyber-Physical Systems: A Mixed Methods Approach", 2nd ACM SIGHIT International Health Informatics Symposium (IHI '12) , 871-874. January 2012. http://dx.doi.org/10.1145/2110363.2110476
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.
2nd ACM SIGHIT International Health Informatics Symposium (IHI '12)
© ACM 2012. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium (IHI '12), http://dx.doi.org/10.1145/2110363.2110476.
Clinical Decision Support, Vasospasm, Machine Learning, Mixed Methods, Patient Modeling, Design, Experimentation
Date Posted: 21 November 2012
This document has been peer reviewed.