ReviewNPJ digital medicine2026
Barriers and opportunities of scaling ambient AI scribes for clinical documentation across diverse healthcare settings.
Review in NPJ digital medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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
6 citing papers in PubMed.
- A Controlled Single-Speaker Evaluation of Ambient Voice Technologies' Speech-to-Text Function Using Narrated Surgical Case-Reports.Journal of medical systems · 2026Article
- Beyond Transparency : Ethical Note Obligations, Documentation Burden, and the Ethical Adoption of AI-Assisted Documentation.Journal of bioethical inquiry · 2026Article
- Article
- Artificial Intelligence and Clinician Burnout in the United States: A Narrative Review.Cureus · 2026Review
- From Clinical Encounter to Draft Documentation: A Mechanistic Narrative Review of Ambient Scribe Technology.Cureus · 2026Review
- The representational bottleneck in rehabilitation AI: from human-cognitive proxies to pathway-based clinical representations.Frontiers in digital health · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Ambient AI scribes are reshaping clinical documentation and clinician-patient interactions. These tools were initially tested in low-acuity ambulatory settings. However, their deployment in diverse care settings raises new challenges. This perspective examines the clinical, technical, and ethical implications of ambient AI scribes in diverse settings. With thoughtful integration, ambient AI scribes can evolve into valuable assistive tools to clinicians. Responsible use of these tools can improve interactions with patients, enhance safety, reduce clinician burden, and improve care continuity.
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.