Departmental Papers (CIS)

Date of this Version

1-2012

Document Type

Conference Paper

Comments

2nd ACM SIGHIT International Health Informatics Symposium (IHI '12), Miami, FL.
Conference Site: https://sites.google.com/site/web2011ihi/

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.

Subject Area

CPS Medical

Publication Source

2nd ACM SIGHIT International Health Informatics Symposium (IHI '12)

Start Page

871

Last Page

874

DOI

10.1145/2110363.2110476

Copyright/Permission Statement

© 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.

Keywords

Clinical Decision Support, Vasospasm, Machine Learning, Mixed Methods, Patient Modeling, Design, Experimentation

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Date Posted: 21 November 2012

This document has been peer reviewed.