Literature DB >> 31438331

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

Alejandro Renato1, Hernan Berinsky1, Mariana Daus1, Miguel Fantin Dachery1, Oscar Jauregui1, Fernando Storani1, María Laura Gambarte1, Carlos Otero1, Daniel Luna1.   

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.

Entities:  

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

Mesh:

Year:  2019        PMID: 31438331     DOI: 10.3233/SHTI190635

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  1 in total

1.  Automatic speech recognition in the operating room - An essential contemporary tool or a redundant gadget? A survey evaluation among physicians in form of a qualitative study.

Authors:  Antonia Schulte; Rodrigo Suarez-Ibarrola; Daniel Wegen; Philippe-Fabian Pohlmann; Elina Petersen; Arkadiusz Miernik
Journal:  Ann Med Surg (Lond)       Date:  2020-09-13
  1 in total

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