Evidence map›Paper›PMID 41820784›Full record

ArticleEmergency radiology2026

Breaking the bottleneck: a quality improvement initiative to reduce overnight CT turnaround times in the emergency department.

Obert Xu, Keith Cross, Louis P Riccelli, Steven Mcgaughey, Jack Marshall, Kenneth DeVane, Skyler Kieran, Beech Burns

Abstract read
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In one paragraph

Article in Emergency radiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

8 authors.

Obert XuDepartment of Emergency Medicine, Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR, 97239-3098, US. xuo@ohsu.edu.ORCID http://orcid.org/0009-0005-6453-9739
Keith CrossDepartment of Emergency Medicine, Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR, 97239-3098, US.
Louis P RiccelliDepartment of Emergency Medicine, Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR, 97239-3098, US.
Steven McgaugheyDepartment of Emergency Medicine, Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR, 97239-3098, US.
Jack MarshallDepartment of Emergency Medicine, Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR, 97239-3098, US.
Kenneth DeVaneDepartment of Emergency Medicine, Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR, 97239-3098, US.
Skyler KieranDepartment of Emergency Medicine, Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR, 97239-3098, US.
Beech BurnsDepartment of Emergency Medicine, Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR, 97239-3098, US.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEmergency departments (EDs) across the United States are facing unprecedented patient volumes and overcrowding, amplifying the need to optimize throughput and operational efficiency. Computed tomography (CT) turnaround time (TAT) is the interval from imaging order to interpretation, and this represents a key determinant of ED flow. At our academic medical center, overnight CT TATs exceeded national benchmarks, largely due to delays between radiology resident preliminary reads and initiation of third-party attending-level teleradiology interpretations. Our objective was to reduce the interval between preliminary resident interpretation and teleradiology service request by 25% through targeted workflow redesign and implementation of iterative quality improvement (QI) interventions.

methodsThis single-center quality improvement study was conducted in the ED of a metropolitan academic quaternary care hospital from March 21, 2022, to May 1, 2025, using the Plan-Do-Study-Act (PDSA) framework. Adult ED patients undergoing overnight CT imaging requiring teleradiology interpretation were included. Four sequential PDSA cycles were implemented, each introducing a targeted intervention to enhance communication between emergency physicians, health unit clerks, and radiology residents: PDSA Cycle 1: Use of imaging order code phrases to indicate discharge intent. PDSA Cycle 2: Automated worklist-based referrals. PDSA Cycle 3: Electronic medical record (EMR)-integrated teleradiology request column on the ED track board. PDSA Cycle 4: Radiology-initiated digital "Request Nighthawk Read" button. The primary outcome was median time from preliminary read issuance to teleradiology request. Secondary outcomes included total CT order-to-result TAT, exam completion-to-result time, and ED length of stay (LOS).

resultsThe study period spanned March 21, 2022, to May 1, 2025, involving 12,126 patients. For the analysis, we compared 3,058 patients in the baseline group (March 21, 2022-March 20, 2023) with 3,698 patients in the post‑intervention group (July 22, 2024-May 1, 2025), representing timeframes preceding the first PDSA cycle and following completion of PDSA Cycle 4. The median interval from preliminary read to teleradiology request decreased from 30.5 minutes to 21.6 minutes, representing a 29.2% reduction (p <0.001). Total CT order-to-result TAT improved from 157.3 to 130.0 minutes (17.4% reduction; p <0.001), and CT exam completion-to-result time decreased from 84.2 to 72.6 minutes (13.8% reduction; p <0.001). ED arrival-to-discharge time modestly decreased from 413 to 396 minutes (4.1% reduction; p = 0.43 for medians). The EMR-integrated workflow improved transparency, communication, and user satisfaction without incurring additional costs.

conclusionAn EMR-based, radiology-initiated teleradiology request process significantly reduced delays in teleradiology imaging requests in an academic ED, improving efficiency and supporting more timely patient disposition. This intervention provides a reproducible, low-cost strategy for similar academic institutions that employ dual resident-led and teleradiology overnight workflows.

Indexed as

Efficiency, OrganizationalEmergency Service, HospitalQuality ImprovementTomography, X-Ray ComputedAcademic Medical CentersHumansTeleradiologyTime FactorsWorkflowAcademic medical centerComputer tomography turnaround timeEmergency department operationsTeleradiology

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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.