Title :
Arres: computer assisted post anesthesia care unit monitoring system
Author :
Ketikidis, P.H. ; Kitz, D.S. ; Lecky, J.H. ; Mavrides, T.G. ; Matschinsky, B.B. ; Aukburg, S.J.
Author_Institution :
Dept. of Anesthesia, Pennsylvania Univ. Sch. of Med., Philadelphia, PA, USA
Abstract :
A prototype system is being designed to provide advance warning of adverse respiratory and circulatory conditions in postanesthesia patients. The system is designed to minimize artifacts in the database, validate data for epidemiologic studies, and identify variables that predict adverse events through the application of artificial intelligence techniques and statistical models. The system is of modular design. The modules include the patient database, statistical model, interface to monitoring devices, rules for evaluating the monitor data, clinical knowledge, and advice
Keywords :
computerised monitoring; medical computing; patient care; patient monitoring; Arres; adverse events prediction; artifacts minimization; artificial intelligence techniques; care unit monitoring system; circulatory conditions; clinical knowledge; computer assisted monitoring; epidemiologic studies; modular design; monitor data; patient database; postanesthesia patients; respiratory conditions; statistical model; statistical models; variables identification; Anesthesia; Artificial intelligence; Biomedical monitoring; Blood pressure; Computerized monitoring; Condition monitoring; Patient monitoring; Predictive models; Prototypes; Relational databases;
Conference_Titel :
Engineering in Medicine and Biology Society, 1989. Images of the Twenty-First Century., Proceedings of the Annual International Conference of the IEEE Engineering in
Conference_Location :
Seattle, WA
DOI :
10.1109/IEMBS.1989.96490
