ArticleJournal of medical radiation sciences2026
Establishing a Multidisciplinary Medical Imaging Clinical Educator Team Across a Large Tertiary Health Network: A Workforce Education Model.
Article in Journal of medical radiation sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionClinical educator roles support workforce capability, training consistency, and quality and safety across allied health professions. Large multi-site medical imaging services face challenges in delivering consistent education and credentialing across diverse craft groups. In 2024, an operationally funded multidisciplinary medical imaging clinical educator (CE) team was established across a tertiary health network; the aim of this study was to evaluate the short-term outcomes of this workforce education model.
methodsA multidisciplinary CE model was implemented across radiography, sonography, nuclear medicine, nursing, and administrative roles. Education initiatives were organised across four interrelated domains: training and credentialing, cross-disciplinary collaboration, learning culture, and innovation. Outcomes were evaluated using participation metrics, credentialing data, and anonymous pre- and post-education confidence surveys. Evaluation was conceptually aligned with Kirkpatrick's framework, with reported outcomes reflecting Levels 1 (engagement) and 2 (self-reported learning), and emerging Level 3 indicators.
resultsEducation reach and engagement increased following implementation of network-wide communication, digital infrastructure, structured CPD delivery, and simulation-based education. Simulation programs demonstrated improved self-reported confidence, including first-trimester communication (mean confidence increased from 2.7 to 3.5 on a 4-point Likert scale). These findings indicate early engagement and learning gains, with emerging behavioural indicators.
conclusionAn operationally embedded multidisciplinary medical imaging CE model can strengthen education visibility, workforce engagement, and early credentialing outcomes across a large multi-site service. Although longer-term organisational (Level 4) outcomes require further evaluation, this model provides a scalable and structured approach to workforce education delivery in complex medical imaging environments.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.