Title :
iAssist: A Software Framework for Intelligent Patient Monitoring
Author :
Brouse, Chris ; Dumont, G. ; Ping Yang ; Lim, Jungyoul ; Ansermino, J. Mark
Author_Institution :
Univ. of British Columbia, Vancouver
Abstract :
A software framework (iAssist) has been developed for intelligent patient monitoring, and forms the foundation of a clinical monitoring expert system. The framework is extensible, flexible, and interoperable. It supports plugins to perform data acquisition, signal processing, graphical display, data storage, and output to external devices. iAssist currently incorporates two plugins to detect change point events in physiological trends. In 38 surgical cases, iAssist detected 868 events, of which clinicians rated more than 50% as clinically significant and less than 7% as artifacts. Clinicians found iAssist intuitive and easy to use.
Keywords :
data acquisition; diagnostic expert systems; patient monitoring; surgery; clinical monitoring expert system; data acquisition; iAssist; intelligent patient monitoring; Alarm systems; Biomedical monitoring; Event detection; Expert systems; Humans; Patient monitoring; Rhythm; Signal processing algorithms; Software safety; Surgery; Clinical Monitoring; Expert System; Patient Safety; Software Framework; Algorithms; Canada; Computer Systems; Decision Support Systems, Clinical; Diagnosis, Computer-Assisted; Monitoring, Physiologic; Software; User-Computer Interface;
Conference_Titel :
Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
Conference_Location :
Lyon
Print_ISBN :
978-1-4244-0787-3
DOI :
10.1109/IEMBS.2007.4353157