Evidence map›Paper›PMID 40941470›Full record

ArticleHealthcare (Basel, Switzerland)2025

Ambient Artificial Intelligence Scribes: A Pilot Survey of Perspectives on the Utility and Documentation Burden in Palliative Medicine.

James Patterson, Maya Kovacs, Caitlin Lees

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

James PattersonPalliative Care Family Medicine Enhanced Skills, Department of Family Medicine, Faculty of Medicine, Dalhousie University, Halifax, NS B3H 2Y9, Canada.ORCID 0000-0002-3290-3058
Maya KovacsPalliative Care Family Medicine Enhanced Skills, Department of Family Medicine, Faculty of Medicine, Dalhousie University, Halifax, NS B3H 2Y9, Canada.
Caitlin LeesDivision of Palliative Medicine, Dalhousie University, Halifax, NS B3H 2Y9, Canada.ORCID 0000-0001-9766-4396

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesThere is growing evidence to support ambient artificial intelligence (AI) scribes in healthcare to improve medical documentation by generating timely and comprehensive notes. Using the Plan-Do-Study-Act (PDSA) methodology, this study evaluated the utility and potential time savings of an ambient AI scribe, Scribeberry, (V2), in a palliative medicine outpatient setting, comparing it to the standard practice of dictation.

methodsThis prospective quality improvement study was conducted at an academic medical center by two palliative medicine resident physicians. Residents documented patient visits using a freely available ambient AI scribe software program, Scribeberry, as well as using standard dictation software. Primary outcome measures included the editing time for the AI scribe and the dictating and editing times for a dictated manuscript, as well as subjective assessments of the accuracy, organization, and overall usefulness of the AI-generated clinical letters.

resultsA heterogenous response was seen with the implementation of an AI scribe. One resident saw a statistically significant reduction (

conclusionsThis pilot study describes the use of an ambient AI scribe software program, Scribeberry, in the community palliative medicine context. Our results showed a mixed response with respect to time savings and improvements in the organization, accuracy, and overall clinical usefulness of the AI-generated notes over time. Given the small sample size and short study duration, this study is insufficiently powered to draw conclusions with respect to AI scribe benefits in real-world contexts.

Indexed as

ambient scribeartificial intelligence (AI)palliative medicine

Identifiers

PMID40941470
PMCPMC12427878

What OpenQuestion holds

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Registered trials

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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.