Peer-reviewed research
Speech Recognition Technology for Nursing Charting: A Literature Review
Sally Newton-Mason et al., Studies in Health Technology and Informatics, 2024 · DOI 10.3233/SHTI240301
Read the originalRead on October 16, 2026
- What it is
- A two-page literature review of speech recognition for nursing documentation. Its searches of PubMed, CINAHL and Google Scholar found 156 candidate studies, of which seven met the inclusion criteria, and it reports that speech recognition can speed documentation by up to 15 percent.
- How much weight it carries
- Peer-reviewed conference review, short and with a small evidence base. The 15 percent is an upper figure from the abstract, not a typical result. The authors say real-world EHR integration remains difficult.
Facts taken from this source
- A 2024 review searched PubMed, CINAHL and Google Scholar for speech recognition in nursing documentation, found 156 studies, and kept seven that met its inclusion criteria.
“A search across PubMed, CINAHL, and Google Scholar identified 156 studies, with seven meeting the inclusion criteria.” (Abstract)
- The 2024 nursing review concludes that speech recognition, especially when combined with artificial intelligence, can speed up documentation by up to 15 percent.
“Findings suggest SRT, particularly when integrated with artificial intelligence can speed up documentation by up to 15%.” (Abstract)