Evidence map›Paper›PMID 39240568›Full record

Trial reportJAMA network open2024

AI-Powered Clinical Documentation and Clinicians' Electronic Health Record Experience: A Nonrandomized Clinical Trial.

Tsai-Ling Liu, Timothy C Hetherington, Casey Stephens, Andrew McWilliams, Ajay Dharod, Tracey Carroll, Jeffrey A Cleveland

Registry-linked trialAbstract readClinical Trial
In one paragraph

Trial report in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06792890 (A Randomized Controlled Trial of Two Ambient Artificial Intelligence Scribe Technologies to Improve Documentation Efficiency and Reduce Physician Burnout), which is not on this map. Cited by 48 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 4 pooled it
–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.

NCT06792890 nacompletednot on this map

A Randomized Controlled Trial of Two Ambient Artificial Intelligence Scribe Technologies to Improve Documentation Efficiency and Reduce Physician Burnout

TypeinterventionalSponsorUniversity of California, Los AngelesRan2024 to 2025Enrolled238ConditionsPhysician Workflow, Artificial Intelligence (AI)ArmsUse Nabla AI Scribe tool provided, Use AI Scribe tool provided by Vendor B
3 · Its place in the literature

Who cites it

48 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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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

7 authors.

Tsai-Ling LiuCenter for Health System Sciences, Atrium Health, Charlotte, North Carolina.
Timothy C HetheringtonAdvanced Analytics, Atrium Health, Charlotte, North Carolina.
Casey StephensCenter for Health System Sciences, Atrium Health, Charlotte, North Carolina.
Andrew McWilliamsAdvanced Analytics, Atrium Health, Charlotte, North Carolina.
Ajay DharodInformatics and Analytics, Department of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina.
Tracey CarrollInformation Technology, Atrium Health Wake Forest Baptist Health, Winston-Salem, North Carolina.
Jeffrey A ClevelandMedical Informatics, Atrium Health, Charlotte, North Carolina.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

DocumentationElectronic Health RecordsAdultArtificial IntelligenceFemaleHumansMaleMiddle Aged

Identifiers

PMID39240568
PMCPMC11380097

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.