NDLI: Gathering Precise Patient Medical History with an Ontology-Driven Adaptive Questionnaire

Content Provider	IEEE Xplore Digital Library
Author	Bouamrane, M.-M. Rector, A. Hurrell, M.
Copyright Year	2008
Description	Author affiliation: Sch. of Comput. Sci., Manchester Univ., Manchester (Bouamrane, M.-M.; Rector, A.)
Abstract	A thorough documentation of a patient's medical history is widely recognised as providing good indicators of potential intraoperative and postoperative complications. As preoperative assessment can be time consuming, computer-based information collection systems (ICS) can help free up precious and limited resources, leaving clinicians with more time to fulfil their primary mission of administrating medical care. In addition, medical histories collected by ICSs have proved to be more accurate than traditional pen-and-paper questionnaires or face-to-face interviews. A challenge remains however in designing questionnaires which are general enough to suit a majority of patients, while at the same time, being able to capture critical individual information. In this paper, we propose a solution to this dilemma with a context-sensitive adaptive information collection system. The proposed method permits to iteratively capture finer-grained information with each successive step, should this information be relevant according to a questionnaire ontology. We argue that the method is robust, scalable and highly configurable. It results in questionnaires which are coherent and well structured and are able to capture enhanced patients' medical histories.
Starting Page	539
Ending Page	541
File Size	453518
Page Count	3
File Format	PDF
ISBN	9780769531656
ISSN	10637125
DOI	10.1109/CBMS.2008.24
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-06-17
Publisher Place	Finland
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	History Ontologies Adaptive systems Robustness Search engines Computer science Computational Intelligence Society Biomedical informatics Documentation Surgery
Content Type	Text
Resource Type	Article
Subject	Radiology, Nuclear Medicine and Imaging Computer Science Applications

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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