ArticleJournal of medical systems2014
A usability framework for speech recognition technologies in clinical handover: a pre-implementation study.
Article in Journal of medical systems, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Speech recognition for clinical documentation from 1990 to 2018: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2019Pooled it
- A systematic review of speech recognition technology in health care.BMC medical informatics and decision making · 2014Pooled it
- Canadian Paramedic User Requirements for Speech Recognition-Aided Documentation.Applied clinical informatics · 2026Article
- Benefits, barriers, and facilitators of using speech recognition technology in nursing documentation and reporting: A cross-sectional study.Health science reports · 2023Article
- Intelligent speech technologies for transcription, disease diagnosis, and medical equipment interactive control in smart hospitals: A review.Computers in biology and medicine · 2023Review
- Article
- Automatic Labeled Dialogue Generation for Nursing Record Systems.Journal of personalized medicine · 2020Article
- Evaluating a Spoken Dialogue System for Recording Systems of Nursing Care.Sensors (Basel, Switzerland) · 2019Article
- Analysis of Errors in Dictated Clinical Documents Assisted by Speech Recognition Software and Professional Transcriptionists.JAMA network open · 2018Article
- Introduction of digital speech recognition in a specialised outpatient department: a case study.BMC medical informatics and decision making · 2016Article
- Benchmarking clinical speech recognition and information extraction: new data, methods, and evaluations.JMIR medical informatics · 2015Article
- Capturing patient information at nursing shift changes: methodological evaluation of speech recognition and information extraction.Journal of the American Medical Informatics Association : JAMIA · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A multi-disciplinary research team is undertaking a trial of speech-to-text (STT) technology for clinical handover management. Speech-to-text technologies allow for the capture of handover data from voice recordings using speech recognition software and systems. The text documents created from this system can be used together with traditional handover notes and checklists to enhance the depth and breadth of data available for clinical decision-making at the point of care and so improve patient care and reduce medical errors. This paper reports on a preliminary study of perceived usability by nurses of speech-to-text technology based on interviews at a "test day" and using a user-task-technology usability framework to explore expectations of nurses of the use of speech-to-text (STT) technology for clinical handover. The results of this study will be used to design field studies to test the use of speech-to-text (STT) technologies at the point of care in several hospital settings.
Indexed as
Identifiers
24827759What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.