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. 2019 Aug 21:264:1761-1762.
doi: 10.3233/SHTI190635.

Design and Evaluation of an Automatic Speech Recognition Model for Clinical Notes in Spanish in a Mobile Online Environment

Alejandro Renato  1 , Hernan Berinsky  1 , Mariana Daus  1 , Miguel Fantin Dachery  1 , Oscar Jauregui  1 , Fernando Storani  1 , María Laura Gambarte  1 , Carlos Otero  1 , Daniel Luna  1
Affiliations

Design and Evaluation of an Automatic Speech Recognition Model for Clinical Notes in Spanish in a Mobile Online Environment

Alejandro Renato et al. Stud Health Technol Inform. .

Abstract

Clinical documentation in healthcare institutions is one of the daily tasks that consumes most of the time for those involved. The adoption of mobile devices in medical practice increases efficiency among healthcare professionals. We describe the design and evaluation of an automatic speech recognition system that enables the transcription of audio to text of clinical notes in a mobile environment. Our system achieved 94.1% word accuracy when evaluated on pediatrics, internal medicine and surgery services.

Keywords: Electronic Health Records; Mobile Applications; Speech Recognition Software.

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