Refereed article in conference proceedings (A4)

Information Flow in Intensive Care Narratives




List of AuthorsSuominen H, Lundgren-Laine H, Salanterä S, Karsten H, Salakoski T

Conference nameIEEE International Conference on Bioinformatics and Biomedicine Workshop

Publication year2009

Journal name in sourceBIBMW: 2009 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE WORKSHOP

Start page319

End page324

Number of pages3

ISBN978-1-4244-5120-3

ISSN2163-6966

DOIhttp://dx.doi.org/10.1109/BIBMW.2009.5332083


Abstract
Fluent patient information flow, is a prerequisite for clinical decision making. Our purpose is to identify unmet information needs in the flour of Finnish intensive care narratives in order to focus the,development of natural language processing methods for this domain. Our data set consists of 516 authentic electronic patient records. First, we assess statistically the amount of narratives. We find that the amount is substantial: elective admission type and high nursing intensity contribute this. Second. we perform a content analysis. We observe that notes relevant for a given topic are scattered over the narratives, headings are inconsistent. and the flow from earlier narratives is fragmented. Consequently, support for gaining topical overviews is needed. Meeting this clinical need holds the promise of making narratives better accessible throughout a patient's stay and thereby improving clinical decision making and outcomes of care.


Last updated on 2023-08-06 at 10:19