Artículo

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

Vargas, Carolina Paula ; Gaiera, Alejandro ; Brandán, Andres ; Renato, Alejandro ; Benitez, Sonia ; Luna, Daniel Roberto Icon

Otros responsables

Fecha

01/2024

Editorial

IOS Press

Revista

Stud Health Technol Inform

Título del libro

Nombre del evento

Fecha del evento

Institución organizadora

ISSN

0926-9630

eISSN

0926-9630

ISBN

Idioma

Inglés

Tipo del evento

Clasificación temática

Resumen

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.

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Licencia Creative Commons

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