Representation of assertions in clinical free-­text using SNOMED CT


Autoria(s): Nguyen, Anthony; Sun, Yue Kimi; Sitbon, Laurianne; Geva, Shlomo
Data(s)

2012

Resumo

Information retrieval (IR) by clinicians in the healthcare setting is critical for informing clinical decision-making. However, a large part of this information is in the form of free-text and inhibits clinical decision support and effective healthcare services. This makes meaningful use of clinical free-­text in electronic health records (EHRs) for patient care a difficult task. Within the context of IR, given a repository of free-­text clinical reports, one might want to retrieve and analyse data for patients who have a known clinical finding.

Identificador

http://eprints.qut.edu.au/58244/

Publicador

Australasian Medical Journal Pty. Ltd

Relação

http://www.amj.net.au/index.php?journal=AMJ

Nguyen, Anthony, Sun, Yue Kimi, Sitbon, Laurianne, & Geva, Shlomo (2012) Representation of assertions in clinical free-­text using SNOMED CT. Australasian Medical Journal, 5(9), pp. 468-474.

Direitos

Copyright 2012 Australasian Medical Journal Pty. Ltd

Fonte

School of Electrical Engineering & Computer Science; Science & Engineering Faculty

Tipo

Journal Article