Evidence map›Paper›PMID 42583084›Full record

ArticleJAMIA open2026

Comparative effectiveness of ambient documentation tools in primary care tool-specific variations in efficiency, documentation burden, and productivity over time.

Lidia Moura, Rebecca G Mishuris, Joshua P Metlay, Mamoon Habib, Jacqueline G You, Katherine L Gallagher, Suzanne Brodney, Meghan L Rieu-Werden, Jennifer S Haas

Abstract read
In one paragraph

Article in JAMIA open, 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

9 authors.

Lidia MouraDepartment of Neurology, Massachusetts General Hospital, Boston, MA 02114, United States.ORCID https://orcid.org/0000-0002-1191-1315
Rebecca G MishurisHarvard Medical School, Boston, MA 02115, United States.
Joshua P MetlayHarvard Medical School, Boston, MA 02115, United States.
Mamoon HabibDepartment of Neurology, Massachusetts General Hospital, Boston, MA 02114, United States.
Jacqueline G YouHarvard Medical School, Boston, MA 02115, United States.
Katherine L GallagherDivision of General Internal Medicine, Mass General Brigham, Boston, MA 02115, United States.
Suzanne BrodneyDivision of General Internal Medicine, Mass General Brigham, Boston, MA 02115, United States.ORCID https://orcid.org/0000-0002-4405-0726
Meghan L Rieu-WerdenDivision of General Internal Medicine, Mass General Brigham, Boston, MA 02115, United States.
Jennifer S HaasHarvard Medical School, Boston, MA 02115, United States.

Funding

Planning for Epilepsy Health Disparities Research Through Community Co-Production.” R34NS140007 · NINDS · EPILEPSY FOUNDATION OF AMERICA · PI Brandy Ellen Fureman, Lidia Maria Veras Rocha de Moura · 2025 to 2026
$492k
NINDS NIH HHS R34 NS140007
6 · The paper itself

Abstract

Objectives: To evaluate the comparative effectiveness of ambient documentation tools (ADTs) with distinct architectures (Tablet-Based Virtual Human-Assisted Ambient [Tool A], EHR-Integrated Ambient [Tool B], and Standalone Ambient [Tool C]) on provider efficiency, documentation burden, and productivity in primary care. Materials and Methods: We conducted a real-world comparative-effectiveness study of 163 primary care providers in a large integrated health system (January 2024-June 2025), analyzing 59 130 provider-days. Providers who did not adopt an ADT ( Results: Compared with Tool B, Tool A was associated with increased pajama time (+0.022 hours of after-hours EHR activity per provider-day), higher manual note composition (+0.046 absolute proportion), lower timely visit closure (-0.120 [95% CI, -0.126,-0.115]), and reduced opportunity scores (-0.035[-0.044,-0.027]). Tool C reduced after-hours work versus Tool B (-0.007 hours per provider-day) and relative to both the reference tool and pre-exposure baseline levels (-0.055 hours per provider-day), but was associated with lower timely visit closure (-0.028[-0.036, -0.020]); opportunity scores were not significantly changed (-0.007[-0.018, 0.003]). Effects for Tool C correspond to approximately 30 fewer annual after-hours hours per provider. Conclusion: Tool choice materially shapes real-world outcomes, and tool-specific comparative evaluation is essential to guide evidence-based procurement and deployment decisions.

Indexed as

artificial Intelligenceclinical documentationelectronic health recordsphysician well-beingprimary health care

Identifiers

PMID42583084
PMCPMC13458937

What OpenQuestion holds

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LicenceCC BY
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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.