Literature DB >> 26187989

Speech recognition acceptance by physicians: A temporal replication of a survey of expectations and experiences.

Joseph P Lyons1, Salvatore A Sanders2, Daniel Fredrick Cesene2, Christopher Palmer3, Valerie L Mihalik2, Tracy Weigel2.   

Abstract

A replication survey of physicians' expectations and experience with speech recognition technology was conducted before and after its implementation. The expectations survey was administered to emergency medicine physicians prior to training with the speech recognition system. The experience survey consisting of similar items was administered after physicians gained speech recognition technology experience. In this study, 82 percent of the physicians were initially optimistic that the use of speech recognition technology with the electronic medical record was a good idea. After using the technology for 6 months, 87 percent of the physicians agreed that speech recognition technology was a good idea. In addition, 72 percent of the physicians in this study had an expectation that the use of speech recognition technology would save time. After use in the clinical environment, 51 percent of the participants reported time savings. The increased acceptance of speech recognition technology by physicians in this study was attributed to improvements in the technology and the electronic medical record.
© The Author(s) 2015.

Entities:  

Keywords:  electronic medical records; speech recognition; technology acceptance

Mesh:

Year:  2015        PMID: 26187989     DOI: 10.1177/1460458215589600

Source DB:  PubMed          Journal:  Health Informatics J        ISSN: 1460-4582            Impact factor:   2.681


  3 in total

1.  Provider Adoption of Speech Recognition and its Impact on Satisfaction, Documentation Quality, Efficiency, and Cost in an Inpatient EHR.

Authors:  Kshitij Saxena; Robert Diamond; Reid F Conant; Terri H Mitchell; Ir Guido Gallopyn; Kristin E Yakimow
Journal:  AMIA Jt Summits Transl Sci Proc       Date:  2018-05-18

2.  Analysis of Documentation Speed Using Web-Based Medical Speech Recognition Technology: Randomized Controlled Trial.

Authors:  Markus Vogel; Wolfgang Kaisers; Ralf Wassmuth; Ertan Mayatepek
Journal:  J Med Internet Res       Date:  2015-11-03       Impact factor: 5.428

3.  Inter-hospital comparison of working time allocation among internal medicine residents using time-motion observations: an innovative benchmarking tool.

Authors:  Simon Martin Frey; Marie Méan; Antoine Garnier; Julien Castioni; Nathalie Wenger; Michael Egloff; Pedro Marques-Vidal; Juerg-Hans Beer
Journal:  BMJ Open       Date:  2020-02-16       Impact factor: 2.692

  3 in total

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