title: iAssist: a software framework for intelligent patient monitoring.
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.
authors.affiliation: Department of Electrical and Computer Engineering, The University of British Columbia, Vancouver BC, Canada.
authors.forename: Christopher
authors.initials: C
authors.lastname: Brouse
authors.forename: Guy
authors.initials: G
authors.lastname: Dumont
authors.forename: Ping
authors.initials: P
authors.lastname: Yang
authors.forename: Joanne
authors.initials: J
authors.lastname: Lim
authors.forename: J Mark
authors.initials: JM
authors.lastname: Ansermino
mesh_terms: D000465:Algorithms; D002170:Canada; D003199:Computer Systems; D020000:Decision Support Systems, Clinical; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D008991:Monitoring, Physiologic / Q000379:methods*; D012984:Software; D014584:User-Computer Interface