Speech recognition for clinical documentation from 1990 to 2018: a systematic review | Zendy

Suzanne V. Blackley | Zendy; Jessica Huynh | Zendy; Liqin Wang | Zendy; Zfania Tom Korach | Zendy; Li Zhou | Zendy

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Speech recognition for clinical documentation from 1990 to 2018: a systematic review

Author(s) -

Suzanne V. Blackley,

Jessica Huynh,

Liqin Wang,

Zfania Tom Korach,

Li Zhou

Publication year - 2018

Publication title -

journal of the american medical informatics association

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.614

H-Index - 150

eISSN - 1527-974X

pISSN - 1067-5027

DOI - 10.1093/jamia/ocy179

Subject(s) - documentation , ibm , medicine , emergency department , internal documentation , medline , computer science , nursing , political science , programming language , nanotechnology , software , law , materials science , software system , software construction

The study sought to review recent literature regarding use of speech recognition (SR) technology for clinical documentation and to understand the impact of SR on document accuracy, provider efficiency, institutional cost, and more.

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