Evidence map›Paper›PMID 42745650›Full record

ArticleVeterinary radiology & ultrasound : the official journal of the American College of Veterinary Radiology and the International Veterinary Radiology Association2026

A Workforce-Informed Competency Framework Defines 30 Core Abilities of Veterinary Diagnostic Imaging Specialists.

Julie A Noyes, Jennifer Brisson, Gareth J Buckley, Laura Hammond, Timothy Manzi, Rachel E Pollard, Jaime Sage, Kenneth R Waller, Patrick Welch

Abstract read
In one paragraph

Article in Veterinary radiology & ultrasound : the official journal of the American College of Veterinary Radiology and the International Veterinary Radiology Association, 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

9 authors.

Julie A NoyesDepartment of Clinical Learning, Development, and Innovation, Ethos Veterinary Health, Westlake Village, California, USA.ORCID https://orcid.org/0000-0002-7542-2078
Jennifer BrissonMassachusetts Veterinary Referral Hospital, Woburn, Massachusetts, USA.ORCID https://orcid.org/0000-0003-4163-4731
Gareth J BuckleyDepartment of Clinical Learning, Development, and Innovation, Ethos Veterinary Health, Westlake Village, California, USA.ORCID https://orcid.org/0000-0002-0219-4764
Laura HammondRed Bank Veterinary Hospital, Tinton Falls, New Jersey, USA.
Timothy ManziRed Bank Veterinary Hospital, Tinton Falls, New Jersey, USA.ORCID https://orcid.org/0000-0003-1997-158X
Rachel E PollardDepartment of Surgical and Radiological Sciences, University of California, Davis, School of Veterinary Medicine, Davis, California, USA.ORCID https://orcid.org/0000-0003-2986-1827
Jaime SageSage Veterinary Imaging, Round Rock, Texas, USA.ORCID https://orcid.org/0009-0006-0998-0721
Kenneth R WallerDepartment of Surgical Sciences, University of Wisconsin School of Veterinary Medicine, Madison, Wisconsin, USA.
Patrick WelchDepartment of Clinical Learning, Development, and Innovation, Ethos Veterinary Health, Westlake Village, California, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Veterinary diagnostic imaging residency training lacks a workforce-informed competency framework defining the core abilities required for specialty-level practice. This study developed and content-validated VIEW (Veterinary Imaging Education and Workforce), a competency framework for diagnostic imaging specialists. A modified Delphi design spanned three phases from January 2025 through February 2026. Phase 1 used a seven-member focus group comprising six board-certified diagnostic imaging specialists and one board-certified emergency and critical care specialist to generate initial competencies through structured discussion and anonymous rating rounds. Competencies meeting an a priori consensus threshold (≥0.70) advanced to Phase 2, involving a survey of ACVR and ECVDI board-certified specialists and diagnostic imaging residents. Survey respondents rated the importance and clarity of competencies and provided feedback. Phase 3 involved a structured focus group review of integrated survey findings to finalize the framework. Phase 1 identified 58 competencies, of which 52 advanced to Phase 2. Eighty respondents completed the Phase 2 survey, with 36 of 52 competencies (69.2%) meeting the consensus threshold. Qualitative analysis identified 356 competency-specific comments, 20 additional competency suggestions, and 24 general comments. Survey feedback refined the framework through consolidation, restructuring, and one addition, resulting in 30 core competencies organized into six domains with 14 illustrative subcompetencies. VIEW competencies were mapped to the Accreditation Council for Graduate Medical Education and the American Association of Veterinary Medical Colleges (AAVMC) Competency-Based Veterinary Education (CBVE) frameworks, demonstrating structural alignment with established health professions competency frameworks. VIEW provides the first workforce-informed competency framework for veterinary diagnostic imaging, supporting competency-based curriculum design and assessment.

Indexed as

Clinical CompetenceDiagnostic ImagingEducation, VeterinaryAnimalsDelphi TechniqueFocus GroupsHumansSurveys and QuestionnairesVeterinarianscompetency‐based medical educationexpert consensusmodified Delphi methodologyveterinary graduate educationworkforce‐informed framework

Identifiers

PMID42745650
PMCPMC13579170

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.