ACHE: an Architecture for Clinical Hypothesis Examination

Laura Elizabeth Moss, Derek Sleeman, John Kinsella, Malcolm Sim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationPROCEEDINGS OF THE 21ST IEEE INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS
Place of PublicationLos Alamitos, California, USA
PublisherIEEE Computer Society
Pages158-160
Number of pages3
Volume21
ISBN (Print)978-0-7695-3165-6
DOIs
Publication statusPublished - Jun 2008

Publication series

NameCOMPUTER-BASED MEDICAL SYSTEMS : PROCEEDINGS OF THE ANNUAL IEEE SYMPOSIUM
PublisherIEEE COMPUTER SOCIETY

Cite this

Moss, L. E., Sleeman, D., Kinsella, J., & Sim, M. (2008). ACHE: an Architecture for Clinical Hypothesis Examination. In PROCEEDINGS OF THE 21ST IEEE INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (Vol. 21, pp. 158-160). (COMPUTER-BASED MEDICAL SYSTEMS : PROCEEDINGS OF THE ANNUAL IEEE SYMPOSIUM ). IEEE Computer Society. https://doi.org/10.1109/CBMS.2008.100