A context description language for medical information systems

Kurt Englmeier, John Atkinson, Josiane Mothe, Fionn Murtagh, Javier Pereira

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

Abstract

Contextualized delivery of information is one of the many strengths of ubiquitous computing. It makes information actionable and helps us to better understand our situations. In the realm of healthcare, contextual information provides a terse but precise picture of the patient's health situation. The patient context can have many facets, ranging from nutrition context over health heritage context to the context of symptoms, just to name a few. Setting up the correct health condition context of a patient favors better and faster recognition of the patient's actual health situation. Context-awareness in medical monitoring mainly concentrates on gathering numerical facts depicting special aspects of a person's health condition. In this paper we want to broaden the focus on the textual dimension in context development, by considering semantic annotation in designing context-awareness. We describe an approach for a context description language (CDL) that supports the uniform presentation of textual facts in medical reports and automatic reasoning on these facts. Term clusters in medical reports represent in a unique way symptoms and findings that set up the health context reflected in this particular report. These clusters manifest potential health condition contexts where a patient can be viewed in. A reasoning engine operates on these context presentations and selects those that match best the patient's health situation. Locating the right context supports the physician in faster getting a first picture of the probable health situation of a new patient to be examined. We present experiments with a CDL applied on reports related to respiratory problems.

Original languageEnglish
Title of host publicationMobile, Ubiquitous, and Intelligent Computing
Subtitle of host publicationMUSIC 2013
EditorsJames J. (Jong Hyuk) Park, Hojjat Adeli, Namje Park, Isaac Woungang
PublisherSpringer Verlag
Pages421-432
Number of pages12
ISBN (Electronic)9783642406751
ISBN (Print)9783642406744
DOIs
Publication statusPublished - 1 Jan 2014
Externally publishedYes
Event4th International Conference on Mobile, Ubiquitous, and Intelligent Computing - Gwangju, Korea, Republic of
Duration: 4 Sep 20136 Sep 2013
Conference number: 4

Publication series

NameLecture Notes in Electrical Engineering
Volume274 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference4th International Conference on Mobile, Ubiquitous, and Intelligent Computing
Abbreviated titleMUSIC 2013
CountryKorea, Republic of
CityGwangju
Period4/09/136/09/13

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  • Cite this

    Englmeier, K., Atkinson, J., Mothe, J., Murtagh, F., & Pereira, J. (2014). A context description language for medical information systems. In J. J. J. H. Park, H. Adeli, N. Park, & I. Woungang (Eds.), Mobile, Ubiquitous, and Intelligent Computing: MUSIC 2013 (pp. 421-432). (Lecture Notes in Electrical Engineering; Vol. 274 LNEE). Springer Verlag. https://doi.org/10.1007/978-3-642-40675-1_64