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Automatic Speech Recognition System to Record Progress Notes in a Mobile EHR: A Pilot Study.

Authors :
VARGAS, Carolina Paula
GAIERA, Alejandro
BRANDÁN, Andres
RENATO, Alejandro
BENITEZ, Sonia
LUNA, Daniel
Source :
Medinfo; 2023, Vol. 310, p124-128, 5p
Publication Year :
2023

Abstract

Creating notes in the EHR is one of the most problematic aspects for health professionals. The main challenges are the time spent on this task and the quality of the records. Automatic speech recognition technologies aim to facilitate clinical documentation for users, optimizing their workflow. In our hospital, we internally developed an automatic speech recognition system (ASR) to record progress notes in a mobile EHR. The objective of this article is to describe the pilot study carried out to evaluate the implementation of ASR to record progress notes in a mobile EHR application. As a result, the specialty that used ASR the most was Home Medicine. The lack of access to a computer at the time of care and the need to perform short and fast evolutions were the main reasons for users to use the system. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15696332
Volume :
310
Database :
Complementary Index
Journal :
Medinfo
Publication Type :
Conference
Accession number :
175124433
Full Text :
https://doi.org/10.3233/SHTI230940