Factuality Levels of Diagnoses in Swedish Clinical Text
2011 (English)In: User Centred Networked Health Care - Proceedings of MIE 2011 / [ed] Anne Moen, Stig Kjær Andersen, Jos Aarts, Petter Hurlen, 2011, 559-563 p.Conference paper (Refereed)
Different levels of knowledge certainty, or factuality levels, are expressed in clinical health record documentation. This information is currently not fully exploited, as the subtleties expressed in natural language cannot easily be machine analyzed. Extracting relevant information from knowledge-intensive resources such as electronic health records can be used for improving health care in general by e.g. building automated information access systems. We present an annotation model of six factuality levels linked to diagnoses in Swedish clinical assessments from an emergency ward. Our main findings are that overall agreement is fairly high (0.7/0.58 F-measure, 0.73/0.6 Cohen's κ, Intra/Inter). These distinctions are important for knowledge models, since only approx. 50% of the diagnoses are affirmed with certainty. Moreover, our results indicate that there are patterns inherent in the diagnosis expressions themselves conveying factuality levels, showing that certainty is not only dependent on context cues.
Place, publisher, year, edition, pages
2011. 559-563 p.
Diagnosis reasoning, factuality levels, annotation, Swedish, clinical text, electronic health records
Research subject Computer and Systems Sciences
IdentifiersURN: urn:nbn:se:su:diva-62347DOI: 10.3233/978-1-60750-806-9-559ISBN: 978-1-60750-805-2OAI: oai:DiVA.org:su-62347DiVA: diva2:441272