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Caregivers Interactions with Clinical Autocomplete Tool: A Retrospective Study.

Authors :
ZAGHIR, amil
GOLDMAN, Jean-Philippe
BJELOGRLIC, Mina
GAUDET-BLAVIGNAC, Christophe
LOVIS, Christian
Source :
Studies in Health Technology & Informatics; 2022, Vol. 295, p132-135, 4p, 4 Charts
Publication Year :
2022

Abstract

Hospital caregivers report patient data while being under constant pressure. These records include structured information, with some of them being derived from a restricted list of terms. Finding the right term from a large terminology can be time-consuming, harming the clinician’s productivity. To deal with this hurdle, an autocomplete system is employed, providing the closest terms after a prefix is typed. While this software application clearly smoothens the term searching, this paper studies the influences of the tool on caregivers’ reporting, inspecting the evolution of their typing conduct over time. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09269630
Volume :
295
Database :
Complementary Index
Journal :
Studies in Health Technology & Informatics
Publication Type :
Academic Journal
Accession number :
157849087
Full Text :
https://doi.org/10.3233/SHTI220679