Design and Evaluation of an Automatic Speech Recognition Model for Clinical Notes in Spanish in a Mobile Online Environment
Alejandro Carlos Renato, Hernán Berinsky, Mariana Daus, Dachery Miguel Fantin, Oscar Ignacio Jáuregui, Fernando D Storani, Gambarte María Laura, Carlos Otero, Daniel Roberto Luna · Studies in health technology and informatics · 2019
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.