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
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