ReviewNPJ digital medicine2018
The digital scribe.
Review in NPJ digital medicine, 2018. 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 72 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
72 citing papers in PubMed, 5 syntheses or guidelines pooled it, 112 citations in OpenAlex.
- Evidence on artificial intelligence-assisted clinical documentation and healthcare workers' emotional wellbeing at work: a scoping review.Frontiers in psychology · 2026Pooled it
- Clinical Implementation of Artificial Intelligence Scribes in Health Care: A Systematic Review.Applied clinical informatics · 2025Pooled it
- Transforming epilepsy research: A systematic review on natural language processing applications.Epilepsia · 2023Pooled it
- A Systematic Review on Healthcare Artificial Intelligent Conversational Agents for Chronic Conditions.Sensors (Basel, Switzerland) · 2022Pooled it
- How does medical scribes' work inform development of speech-based clinical documentation technologies? A systematic review.Journal of the American Medical Informatics Association : JAMIA · 2020Pooled it
- Determinants of AI Scribe Adoption in Allied Health: Mixed Methods Study Guided by the Capability, Opportunity, and Motivation Model for Behavior Change.Journal of medical Internet research · 2026Article
- The Use of Ambient Dictation Artificial Intelligence in Clinical Spaces in Surgery: A Scoping Review.World journal of otorhinolaryngology - head and neck surgery · 2026Review
- For the record: a narrative review of ambient voice technology in clinical documentation for dentistry and wider healthcare.British dental journal · 2026Review
- Ambient AI Scribes and Emergency Department Documentation Burden: Retrospective Cohort Study.JMIR AI · 2026Article
- Ambient AI in primary care: an exploratory mixed methods survey of UK general practitioners.BMJ health & care informatics · 2026Article
- Article
- Annual Patient EXposure of residents in training over 20 years (APEX-trial): a retrospective analysis from a public teaching hospital.BMJ open · 2026Article
- Performance of predictive AI-based clinical decision support systems across clinical domains: A systematic review and meta-analysis.PLOS digital health · 2026Article
- Vision-Enabled AI scribes reduce omissions in clinical conversations: evidence from simulated medication histories.NPJ digital medicine · 2026Article
- AI Scribes: Are We Measuring What Matters?JMIR medical informatics · 2026Article
- Ambient AI Documentation and Patient Satisfaction in Outpatient Care: Retrospective Pilot Study.JMIR AI · 2026Article
- When better data meets better design: How EHR data usability and system usability shape physicians' cognitive load.NPJ digital medicine · 2026Article
- The Current State of Digital Scribes in Primary Care: A Scoping Review.Journal of medical systems · 2026Article
- Real-world evaluation of an ambient AI scribe in Spanish outpatient care after 2.3 million uses: impact on clinician experience, semantic agreement, and workflow efficiency.Frontiers in digital health · 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
12 more citing papers are in PubMed but not listed here.
Corrections and comments
- Erratum issued
Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Current generation electronic health records suffer a number of problems that make them inefficient and associated with poor clinical satisfaction. Digital scribes or intelligent documentation support systems, take advantage of advances in speech recognition, natural language processing and artificial intelligence, to automate the clinical documentation task currently conducted by humans. Whilst in their infancy, digital scribes are likely to evolve through three broad stages.
Indexed as
Identifiers
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.