DocumentCode :
2093520
Title :
ACHE: An Architecture for Clinical Hypothesis Examination
Author :
Moss, Laura ; Sleeman, Derek ; Kinsella, John ; Sim, Malcolm
Author_Institution :
Dept. of Comput. Sci., Univ. of Aberdeen, Aberdeen
fYear :
2008
fDate :
17-19 June 2008
Firstpage :
158
Lastpage :
160
Abstract :
Physiological monitoring equipment can be found in many hospital settings. This allows a wide range of physiological parameters to be stored, which in turn allows clinicians and analysts to investigate a range of medical hypotheses. This paper introduces ACHE (architecture for clinical hypotheses examination), a framework specifically designed to support the preparation of such analyses. To evaluate the initial version of ACHE, a study to detect acute myocardial infarctions, was conducted with data from Glasgow Royal Infirmary´s Intensive Care Unit (ICU). Initial results from the study are very encouraging and ACHE substantially reduced the time required to perform the study. A study of the same phenomena across a much larger patient dataset will be undertaken shortly.
Keywords :
biomedical equipment; medical computing; physiology; Glasgow Royal Infirmary´s Intensive Care Unit; acute myocardial infarctions; architecture for clinical hypothesis examination; physiological parameters; Biomedical monitoring; Computer architecture; Computerized monitoring; Costs; Data analysis; Data models; Hospitals; Myocardium; Signal analysis; Time series analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer-Based Medical Systems, 2008. CBMS '08. 21st IEEE International Symposium on
Conference_Location :
Jyvaskyla
ISSN :
1063-7125
Print_ISBN :
978-0-7695-3165-6
Type :
conf
DOI :
10.1109/CBMS.2008.100
Filename :
4561976
Link To Document :
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