Evidence map›Paper›PMID 40555944›Full record

ArticleJournal of imaging informatics in medicine2026

Standardizing Workflow, Patient Care, and Reimbursement for Radiology Second Opinions.

Akhil Dhamija, Matthew Crain, Mohammed Ismail, Clayton R Taylor, Luciano M Prevedello, Hillary M Kummer, Daria Blanton, Robin Weppler, Pari V Pandharipande, Zarine K Shah

Abstract read
In one paragraph

Article in Journal of imaging informatics in medicine, 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

10 authors.

Akhil DhamijaDepartment of Radiology, The Ohio State University Medical Center, Columbus, USA. akhil.dhamija@osumc.edu.ORCID http://orcid.org/0000-0002-9822-2175
Matthew CrainDepartment of Radiology, The Ohio State University Medical Center, Columbus, USA.
Mohammed IsmailDepartment of Radiology, The Ohio State University Medical Center, Columbus, USA.
Clayton R TaylorDepartment of Radiology, The Ohio State University Medical Center, Columbus, USA.
Luciano M PrevedelloDepartment of Radiology, The Ohio State University Medical Center, Columbus, USA.
Hillary M KummerDepartment of Radiology, The Ohio State University Medical Center, Columbus, USA.
Daria BlantonDepartment of Radiology, The Ohio State University Medical Center, Columbus, USA.
Robin WepplerDepartment of Radiology, The Ohio State University Medical Center, Columbus, USA.
Pari V PandharipandeDepartment of Radiology, The Ohio State University Medical Center, Columbus, USA.
Zarine K ShahDepartment of Radiology, The Ohio State University Medical Center, Columbus, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Second opinions in radiology are crucial for accurate diagnosis and patient management but often lack standardization, leading to inefficiencies and suboptimal reimbursement. We redesigned the second opinion workflow leveraging existing tools in the EMR. Summary statistics as well as post-implementation surveys were conducted among ordering providers and radiologists to gauge the process. Reimbursement data from August 2021 to October 2022 was also analyzed. The Abdomen division accounted for 47% of second opinion exams, followed by Neuroradiology at 26%, Chest at 17%, Nuclear Medicine at 9%, and MSK at 1%. CT scans comprised 64%, MR 26%, NM 9%, and US 1%. Survey participants reported an improvement in user-friendliness ratings for the second opinion process from 2 to 4.4 (p < 0.07), with substantial positive trends among ordering providers (Cohen's d = 2.00). Satisfaction with perceived timeliness of report availability was high across both groups, and radiologists perceived workflow efficiency improved from 2.7 to 4 (p = 0.036). The new workflow achieved a 91.9% collection success rate. Standardizing the second opinion workflow enhances operational efficiency, user satisfaction and reimbursement, thereby improving patient care.

Indexed as

Patient CareRadiologyReferral and ConsultationWorkflowHumansSurveys and QuestionnairesBillingDiagnostic ImagingReferral and ConsultationRelative Value UnitSecond Opinion InterpretationStandardization

Identifiers

PMID40555944
PMCPMC13103147

What OpenQuestion holds

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LicenceCC BY
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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.