Speech Recognition Documentation

Speech Recognition Documentation is a method within electronic health record documentation workflows that enables healthcare providers to generate clinical records through voice input converted into text by automated speech recognition technology, distinguishing it from manual data entry and structured template-based documentation approaches.

12

Publications

5.5K

Citations

51

Authors

25

Institutions

Publications per year

2017–2026

8

Variants

Voice-to-text Documentation

Authors

51

  1. DW
    David W. Bates

    Brigham and Women's Hospital, United States

    2 publications · 162 citations

    2

    h-index

  2. FG
    Foster Goss

    University of Colorado Denver, United States

    2 publications · 162 citations

    2

    h-index

  3. AL
    Adam Landman

    Brigham and Women's Hospital, United States

    2 publications · 162 citations

    2

    h-index

  4. LZ
    Li Zhou

    Brigham and Women's Hospital, United States

    2 publications · 162 citations

    2

    h-index

  5. EC
    Enrico Coiera

    UNSW Sydney, Australia

    2 publications · 85 citations

    2

    h-index

1–5 of 51

Venues

  1. International Journal of Medical Informatics

    2 publications · 88 citations

    2

    h-index

  2. PubMed

    Repository · 1 publications · 12 citations

    1

    h-index

  3. British Journal of Radiology

    BJR · 1 publications · 28 citations

    1

    h-index

  4. Infoscience (Ecole Polytechnique Fédérale de Lausanne)

    Repository · 1 publications · 4.9K citations

    1

    h-index

  5. Health Science Reports

    1 publications · 17 citations

    1

    h-index

1–5