Evidence map›Paper›PMID 42334196›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2026

Effect of use of ambient listening technology on patient-reported communication and satisfaction ratings.

Sandra L Taylor, Debbie Aizenberg, Melissa Jost, Yunyi Ren, Courtney R Lyles, Jason Y Adams

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Sandra L TaylorDepartment of Public Health Sciences, School of Medicine, University of California, Davis, Sacramento, CA, 95817, United States.ORCID 0000-0001-7811-812X
Debbie AizenbergDepartment of Otolaryngology, Head and Neck Surgery, UC Davis Health, Sacramento, CA, 95817, United States.
Melissa JostDepartment of Clinical Informatics, UC Davis Health, Sacramento, CA, 95817, United States.
Yunyi RenDepartment of Public Health Sciences, School of Medicine, University of California, Davis, Sacramento, CA, 95817, United States.
Courtney R LylesDepartment of Public Health Sciences, School of Medicine, University of California, Davis, Sacramento, CA, 95817, United States.
Jason Y AdamsDepartment of Internal Medicine, School of Medicine, University of California, Davis, Sacramento, CA, 95817, United States.

Funding

UC Davis Clinical and Translational Science CenterUL1TR001860 · NCATS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI KENYON, NICHOLAS J., LYLES, COURTNEY REES · 2016 to 2025
$47.3M
Institutional Career Development Core (KL2)KL2TR001859 · NCATS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI HOLMES, JAMES F. · 2016 to 2025
$10.1M
National Center for Advancing Translational Sciences, National Institutes of Health UL1 TR001860NCATS NIH HHS KL2 TR001859NCATS NIH HHS UL1 TR001860
6 · The paper itself

Abstract

objectivesEvaluate the impact of ambient listening AI scribe technology for drafting notes on patient-reported communication and satisfaction ratings of their physician during ambulatory visits. MATERIALS AND

methodsWe conducted a pilot (April-August 2024) during which 31 physicians across multiple specialties could use an AI scribe during ambulatory visits. Patient surveys from AI-scribe supported visits were compared with pre-pilot surveys in the previous 12 months, and to 125 control physicians, following a difference-in-differences approach. Logistic regression evaluated change in the odds of receiving the highest score for 5 questions, focused on patient ratings of communication (4 items) and overall satisfaction with their physician (1 item).

resultsAmong 31 917 surveys (7164 pilot; 24 753 control), patient ratings were high. The pre-post change in communication and satisfaction scores did not differ significantly between pilot and control physicians. However, for 3 questions (concern provider showed, explanation provider gave, and likelihood of recommending their provider), ratings increased for pilot physicians while declining for controls without reaching statistical significance. DISCUSSION: We did not find evidence of AI scribes worsening or enhancing patient experiences. Continued evaluation is warranted to ensure positive patient experiences as AI tools expand in clinical care.

Indexed as

Artificial IntelligenceCommunicationElectronic Health RecordsPatient SatisfactionPhysician-Patient RelationsAmbulatory CareFemaleHumansMalePilot ProjectsAI scribeambient listeningclinical documentationgenerative AIpatient experience

Identifiers

PMID42334196
PMCPMC13580746

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.