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Paper 109_elpub2009:
Automatic Analysis of Electronic Discharge Letters as a Means to Evaluate the Continuity of Information and of Patient Care

id 109_elpub2009
authors Ballerio, Stefano
year 2009
title Automatic Analysis of Electronic Discharge Letters as a Means to Evaluate the Continuity of Information and of Patient Care
source ELPUB2009. Rethinking Electronic Publishing: Innovation in Communication Paradigms and Technologies - Proceedings of the 13th International Conference on Electronic Publishing held in Milano, Italy 10-12 June 2009 / Edited by: Susanna Mornati and Turid Hedlund. ISBN 978-88-6134-326-6, 2009, pp. 607-612
summary Joint Commission International standard 3.2 on Access to Care and Continuity of Care states that discharge letters should contain information about follow-up instructions of doctors to patients. We developed a text mining system to analyze a collection of 413 discharge letters of heart failure patients and checked their compliance with standard 3.2. We built a domain-specific ontology and a thesaurus and mined the collection with CASOS AutoMap. After validation, the system sensitivity was 0.484; specificity was 0.834; positive predictive value was 0.555; negative predictive value was 0.790. Improving these results requires more powerful natural language processing tools, but text mining seems a promising way to evaluate the continuity of information and of care.
keywords Text Mining; Continuity of Care; Discharge Letters
series ELPUB:2009
type poster
email stefano.ballerio@gmail.com
content file.pdf (218,505 bytes)
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urn:nbn urn:nbn:se:elpub-109_elpub2009
last changed 2009/09/08 17:27
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