Evidence map›Paper›PMID 42569272›Full record

ArticleJournal of the American College of Emergency Physicians open2026

Implementation and Validation of an Emergency Department Consult Tracking Tool for Monitoring Consultant Turnaround Times.

Timothy Layng, Katie Cronin, Noel Mukubwa, Moira Smith, Lauren Smaltz, Colleen Mullins, Jackson Agraz, Michael Chilmaid, R Andrew Taylor, Andrew Muck and 1 more

Abstract read
In one paragraph

Article in Journal of the American College of Emergency Physicians 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.

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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

11 authors.

Timothy LayngDepartment of Emergency Medicine, University of Virginia School of Medicine, Charlottesville, Virginia, USA.
Katie CroninLewis Katz School of Medicine, Temple University, Philadelphia, Pennsylvania, USA.
Noel MukubwaUniveristy of Virginia Health System Health Information Technology, Charlottesville, Virginia, USA.
Moira SmithDepartment of Emergency Medicine, University of Virginia School of Medicine, Charlottesville, Virginia, USA.
Lauren SmaltzDepartment of Emergency Medicine, University of Virginia School of Medicine, Charlottesville, Virginia, USA.
Colleen MullinsDepartment of Emergency Medicine, University of Virginia School of Medicine, Charlottesville, Virginia, USA.
Jackson AgrazDepartment of Emergency Medicine, University of Virginia School of Medicine, Charlottesville, Virginia, USA.
Michael ChilmaidUniveristy of Virginia Health System Health Information Technology, Charlottesville, Virginia, USA.
R Andrew TaylorDepartment of Emergency Medicine, University of Virginia School of Medicine, Charlottesville, Virginia, USA.
Andrew MuckDepartment of Emergency Medicine, University of Virginia School of Medicine, Charlottesville, Virginia, USA.
Sarah K WendelDepartment of Emergency Medicine, University of Virginia School of Medicine, Charlottesville, Virginia, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To evaluate the implementation of an electronic health record (EHR)-integrated consult tracking tool and assess its utilization in capturing emergency department (ED) specialty consultant turnaround times at an academic, tertiary care medical center. Methods: This quality improvement study was conducted at a tertiary academic medical center from December 2023 through February 2025. The Epic ASAP Consult Tracker was implemented to capture discrete timestamps for ED specialty consultations. A 3-month validation period (December 2023-February 2024) used manual scribe review of 5401 consultations to verify tool accuracy against surrogate documentation methods. From March 2024 onward, the tool operated independently with automated monthly reporting. Primary outcomes were tool utilization rate and median consultation turnaround time, defined as the interval from consult order entry to receipt of actionable consultant recommendations. Results: Over the 12-month post-validation period (March 2024-February 2025), 34,663 consultations were tracked across 26 specialty services. During validation, the tracking tool captured shorter median turnaround times (139 minutes) than surrogate methods, including ED course documentation (238 minutes), disposition time (179 minutes), and consultant note signature (273 minutes). The mean monthly utilization rate was 53.3% (SD 4%; range 44.4%-57.8%). The overall median consultation turnaround time was 108 minutes, with substantial specialty-specific variation: the medical intensive care unit had the shortest median response time at 59.5 (IQR: 37.4-97.1), whereas psychiatry had the longest at 195.6 (IQR: 122.6-299.6). Conclusion: An EHR-integrated consult tracking tool is a feasible method for measuring ED consultation turnaround times. The tool was used to document consultation milestones and identified and revealed specialty-specific variation in consultation response times. These findings provide a foundation for future efforts to evaluate consultation processes and improve ED operations.

Indexed as

care coordinationclinical decision supportconsultationconsult trackingED throughputlength of staypatient flowworkflow optimization

Identifiers

PMID42569272
PMCPMC13449446

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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.