Evidence map›Paper›PMID 36650302›Full record

ArticleJournal of digital imaging2023

Implementing a Streamlined Radiology Workflow to Close the Loop on Incidental Imaging Findings in the Emergency Department.

Tianyuan Fu, Sheila Berlin, Amit Gupta, Donna Plecha, Jeffrey Sunshine, Jennifer Sommer

Abstract read
In one paragraph

Article in Journal of digital imaging, 2023. 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. Review
  2. Article
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.

Tianyuan FuUniversity Hospitals Cleveland Medical Center, Case Western Reserve University, 11100 Euclid Avenue, BSH 5056, Cleveland, OH, 44106, USA. tianyuan.fu@uhhospitals.org.ORCID 0000-0003-0750-2508
Sheila BerlinUniversity Hospitals Cleveland Medical Center, Case Western Reserve University, 11100 Euclid Avenue, BSH 5056, Cleveland, OH, 44106, USA.
Amit GuptaUniversity Hospitals Cleveland Medical Center, Case Western Reserve University, 11100 Euclid Avenue, BSH 5056, Cleveland, OH, 44106, USA.
Donna PlechaUniversity Hospitals Cleveland Medical Center, Case Western Reserve University, 11100 Euclid Avenue, BSH 5056, Cleveland, OH, 44106, USA.
Jeffrey SunshineUniversity Hospitals Cleveland Medical Center, Case Western Reserve University, 11100 Euclid Avenue, BSH 5056, Cleveland, OH, 44106, USA.
Jennifer SommerUniversity Hospitals Cleveland Medical Center, Case Western Reserve University, 11100 Euclid Avenue, BSH 5056, Cleveland, OH, 44106, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Actionable incidental findings (AIFs) are common imaging findings unrelated to the clinical indication for the imaging test for which follow-up is recommended. Increasing utilization of imaging in the emergency department (ED) in recent years has resulted in more patients with AIFs. When these findings are not properly communicated and followed up upon, there is harm to the patient's health outcome as well as possible increased financial costs for the patient, the health system, and potential litigation. Tracking these findings can be difficult, especially so in a large health system. In this report, we detail our experience implementing a closed-loop AIF program within the ED of 11 satellite hospitals of a large academic health system. Our new workflow streamlined radiologist reporting of AIFs through system macros and by using a standardized form integrated into the dictation software. Upon completion of the form, an automatic email is sent to a dedicated nurse navigator who documented the findings and closed the loop by coordinating follow-up imaging or clinic visits with patients, primary care providers, and specialists. Through the new workflow, a total of 1207 incidental finding reports have been submitted from July 2021 to May 2022. The vast majority of AIFs were identified on CT, and the most common categories included lung nodules, pancreas lesions, liver lesions, and other potentially cancerous lesions. At least 10 new cancers have been detected. We hope this report can help guide other health systems in the design of a closed-loop incidental findings program.

Indexed as

Diagnostic ImagingRadiologyEmergency Service, HospitalHumansRadiographyWorkflowClosed-loop communicationIncidental findingsQuality improvementRadiology informaticsRadiology reportingSystem workflow

Identifiers

PMID36650302
PMCPMC10287850

What OpenQuestion holds

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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.