ArticleJAMIA open2018
Using voice to create inpatient progress notes: effects on note timeliness, quality, and physician satisfaction.
Article in JAMIA open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Electronic health records-related determinants of healthcare professionals' burnout and mitigation strategies: systematic review and meta-analysis.Frontiers in public health · 2026Pooled it
- The burden of the digital environment: a systematic review on organization-directed workplace interventions to mitigate physician burnout.Journal of the American Medical Informatics Association : JAMIA · 2021Pooled it
- From Sentiment to Signal: Narrative-Physiology Discordance as a Testable Target for Artificial Intelligence in Critical Care.Medical sciences (Basel, Switzerland) · 2026Article
- Assessing the Reliability, Accuracy, and Relevance of Artificial Intelligence Speech Recognition for Clinical Documentation: A Scoping Review.Journal of evaluation in clinical practice · 2026Article
- The use of ambient voice technology (AVT) for clinician-patient consultations in healthcare practice: A rapid systematic scoping review.BMJ digital health & AI · 2026Article
- Evaluating the Prevalence of Burnout Among Health Care Professionals Related to Electronic Health Record Use: Systematic Review and Meta-Analysis.JMIR medical informatics · 2024Review
- Benefits, barriers, and facilitators of using speech recognition technology in nursing documentation and reporting: A cross-sectional study.Health science reports · 2023Article
- Measuring patient acuity and nursing care needs in South Korea: application of a new patient classification system.BMC nursing · 2022Article
- Writing Practices Associated With Electronic Progress Notes and the Preferences of Those Who Read Them: Descriptive Study.Journal of medical Internet research · 2021Article
- Psychiatry in the Digital Age: A Blessing or a Curse?International journal of environmental research and public health · 2021Review
- The impact of time spent on the electronic health record after work and of clerical work on burnout among clinical faculty.Journal of the American Medical Informatics Association : JAMIA · 2021Article
- Frequency and Types of Patient-Reported Errors in Electronic Health Record Ambulatory Care Notes.JAMA network open · 2020Article
- A Randomized Trial of Voice-Generated Inpatient Progress Notes: Effects on Professional Fee Billing.Applied clinical informatics · 2020Article
- Asynchronous Speech Recognition Affects Physician Editing of Notes.Applied clinical informatics · 2018Article
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
Abstract
objectivesWe describe the evaluation of a system to create hospital progress notes using voice and electronic health record integration to determine if note timeliness, quality, and physician satisfaction are improved. MATERIALS AND
methodsWe conducted a randomized controlled trial to measure effects of this new method of writing inpatient progress notes, which evolved over time, on important outcomes.
resultsIntervention subjects created 709 notes and control subjects created 1143 notes. When adjusting for clustering by provider and secular trends, there was no significant difference between the intervention and control groups in the time between when patients were seen on rounds and when progress notes were viewable by others (95% confidence interval -106.9 to 12.2 min). There were no significant differences in physician satisfaction or note quality between intervention and control. DISCUSSION: Though we did not find support for the superiority of this system (Voice-Generated Enhanced Electronic Note System [VGEENS]) for our 3 primary outcomes, if notes are created using voice during or soon after rounds they are available within 10 min. Shortcomings that likely influenced subject satisfaction include the early state of our VGEENS and the short interval for system development before the randomized trial began.
conclusionVGEENS permits voice dictation on rounds to create progress notes and can reduce delay in note availability and may reduce dependence on copy/paste within notes. Timing of dictation determines when notes are available. Capturing notes in near-real-time has potential to apply NLP and decision support sooner than when notes are typed later in the day, and to improve note accuracy.
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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.