New framework defines 30 core imaging competencies
Bottom line
A new study in Veterinary Radiology & Ultrasound has introduced VIEW, a workforce-informed competency framework for veterinary diagnostic imaging specialists that defines 30 core competencies across six domains. The framework was developed and content-validated through a modified Delphi process involving board-certified specialists and residents, and the authors describe it as the first workforce-informed competency model for the specialty. The work builds on broader competency-based veterinary education efforts and on ACVR’s ongoing interest in competency-based residency training. (pubmed.ncbi.nlm.nih.gov)
Why it matters: For veterinary professionals, especially residency directors, faculty members, and hospital leaders, the framework offers a more explicit structure for curriculum design, assessment, and feedback in diagnostic imaging training. That could help programs translate ACVR residency requirements into clearer expectations for day-to-day teaching and evaluation, at a time when imaging training already spans multiple modalities and settings, and when prior survey work has pointed to uneven imaging training exposure in the profession. (acvr.org)
What to watch: Watch for whether ACVR programs begin adopting VIEW as a shared template for resident assessment, milestone design, and curriculum updates. (acvr.org)
A new paper in Veterinary Radiology & Ultrasound lays out what may become a practical roadmap for training the next generation of veterinary radiologists. The study developed and content-validated VIEW, short for Veterinary Imaging Education and Workforce, a competency framework that defines 30 core abilities for veterinary diagnostic imaging specialists across six domains. According to the abstract, it is the first workforce-informed competency framework created specifically for the specialty. (acvr.org)
The publication lands amid a broader shift toward competency-based veterinary education. The AAVMC’s competency-based veterinary education model has helped push veterinary training toward outcomes-based assessment, and other disciplines have begun building specialty-specific frameworks on top of that foundation. In diagnostic imaging, ACVR has also been signaling interest in a competency-based approach: in 2025, the college asked for workforce feedback on a draft competency list intended to support residency programs that want to adopt or transition to a competency-based curriculum. (pubmed.ncbi.nlm.nih.gov)
That context matters because ACVR residency training is already highly structured, but not necessarily framed in specialty-wide competency language. Current residency essentials require a minimum three-year program with at least 30 months of supervised clinical experience, oversight by qualified diplomates, and ongoing resident review. A framework like VIEW doesn’t replace those requirements, but it can give programs a more standardized way to define what competence looks like within and across those training years. (acvr.org)
The study’s design also appears aligned with how other veterinary competency projects have been built: expert-generated draft competencies, followed by workforce input and validation. That workforce-informed approach is notable because it moves beyond a purely academic checklist. ACVR’s outreach on the project said feedback was sought not only from board-certified radiologists, but also from administrators, referring veterinarians, credentialed technicians, assistants, and other specialists who work with radiologists. (acvr.org)
There’s a practical reason this may resonate across the profession. Diagnostic imaging now spans radiography, ultrasound, CT, MRI, and nuclear medicine in residency training, and prior survey data suggest training exposure is not always consistent even at earlier stages of the pipeline. One 2024 survey of small animal veterinary clinicians found that most respondents had formal ultrasound training, but usually limited training hours obtained through postgraduate courses, and the authors concluded that more standardized imaging training in the curriculum may be warranted. (acvr.org)
Industry reaction appears to be emerging more through institutional signals than public commentary so far. ACVR has publicly promoted the competency study and described the resulting competencies as an open-access, evidence-based foundation that programs can adopt or adapt. That suggests at least some appetite within the specialty for a shared training language, even if formal implementation standards have not yet been announced. I’m inferring from ACVR’s outreach and residency resources that the framework is likely to be most influential first in academic and referral-hospital residency programs, where structured assessment systems are already in place. (acvr.org)
Why it matters: For veterinary professionals, the biggest value may be consistency. A validated framework can help residency directors map rotations, case exposure, feedback, and progression decisions to clearly defined abilities rather than relying on local norms alone. It may also support conversations about readiness for independent reporting, modality-specific performance, communication skills, and professional responsibilities, areas that recent ACVR and ECVDI consensus work has also emphasized in imaging practice. Over time, that could make training expectations clearer for residents, faculty members, referring clinicians, and even employers hiring newly credentialed specialists. (onlinelibrary.wiley.com)
What to watch: The next step is whether VIEW remains a useful publication, or becomes an operational tool. Key signals will include residency programs incorporating the framework into evaluations, ACVR referencing it in future training materials, and follow-on work that links the 30 competencies to milestones, entrustable activities, or assessment tools. (acvr.org)