ArticleJournal of digital imaging2008
Improvement of report workflow and productivity using speech recognition--a follow-up study.
Article in Journal of digital imaging, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 29 papers, 5 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
29 citing papers in PubMed, 5 syntheses or guidelines pooled it, 57 citations in OpenAlex.
- Evaluation of interventions to improve inpatient hospital documentation within electronic health records: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2019Pooled it
- Speech recognition for clinical documentation from 1990 to 2018: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2019Pooled it
- Risks and benefits of speech recognition for clinical documentation: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2016Pooled it
- The effectiveness of service delivery initiatives at improving patients' waiting times in clinical radiology departments: a systematic review.Journal of digital imaging · 2014Pooled it
- A systematic review of speech recognition technology in health care.BMC medical informatics and decision making · 2014Pooled it
- Reporting efficiency in diagnostic imaging: Can plug-and-play general-purpose large language models outperform conventional speech recognition?European radiology · 2026Article
- A clinically validated AI framework for kidney cancer detection and characterization.Communications medicine · 2025Article
- [Implementation and evaluation of a solution for automated documentation of the doctor-patient dialogue (ADAPI) in ophthalmology using the example of the IVI routine].Die Ophthalmologie · 2025Article
- Charting Tomorrow's Healthcare: A Traditional Literature Review for an Artificial Intelligence-Driven Future.Cureus · 2024Review
- Benefits, barriers, and facilitators of using speech recognition technology in nursing documentation and reporting: A cross-sectional study.Health science reports · 2023Article
- Article
- Accuracy of Cloud-Based Speech Recognition Open Application Programming Interface for Medical Terms of Korean.Journal of Korean medical science · 2022Article
- Asynchronous Speech Recognition Affects Physician Editing of Notes.Applied clinical informatics · 2018Article
- Electronic Health Record Interactions through Voice: A Review.Applied clinical informatics · 2018Review
- Language-Based Process Phase Detection in the Trauma Resuscitation.Proceedings. IEEE International Conference on Healthcare Informatics · 2017Article
- Frequency and analysis of non-clinical errors made in radiology reports using the National Integrated Medical Imaging System voice recognition dictation software.Irish journal of medical science · 2016Article
- Improving Radiology Report Quality by Rapidly Notifying Radiologist of Report Errors.Journal of digital imaging · 2015Article
- 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
- [Improvement of the processes around the radiology workplace : avoidance of time delays].Der Radiologe · 2014Article
Corrections and comments
- Commented on by
- Erratum issued
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Speech recognition (SR), available since the 1980s, has only recently become sufficiently reliable to allow utilization in medical environment. This study measured the effect of SR for the radiological dictation process and estimated differences in report turnaround times (RTTs). During the transition from cassette-based reporting to SR, the workflow of 14 radiologists was periodically followed up for 2 years in a university hospital. The sample size was more than 20,000 examinations, and the radiologists were the same throughout the study. A RTT was defined as the time from imaging at the modality to the time when the report was available for the clinician. SR cut down RTTs by 81% and the standard deviation by 83%. The proportion of reports available within 1 h escalated from 26% to 58%. The proportion of reports created by SR increased during a follow-up time of this study from 0% up to 88%. SR decreases turnaround times and may thus speed up the whole patient care process by facilitating online reporting. SR was easily adopted and well accepted by radiologists. Our findings encourage the utilization of SR, which improves the productivity and accelerates the workflow with excellent end-user satisfaction.
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What 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.