{"title":"Seconds that matter: the hidden burden of vetting times on radiology workflow","authors":"M. Jafari , M.S. Kashthuri , Z.Y. Wong , R. Sinha","doi":"10.1016/j.crad.2026.107251","DOIUrl":null,"url":null,"abstract":"<div><h3>AIM</h3><div>Vetting is an essential but often overlooked step in radiology workflow. No published data exist on time spent vetting in National Health Service radiology departments. This study aims to quantify vetting times, examine variation by professional role, outcome, modality and referral source and explores the relationship of vetting outcome to professional role and referral source.</div></div><div><h3>MATERIALS AND METHODS</h3><div>Between April and August 2025, 344 vetting episodes in two tertiary hospitals in the North East and North Cumbria Imaging Network were prospectively observed. Time taken to vet, professional role of the vetter, outcome, referral source, and modality were recorded.</div></div><div><h3>Results</h3><div>The median vetting time was 31 seconds (IQR: 44.5; range: 4-347). Residents spent the longest time per request (61s, IQR: 79). Vetting times were similar for radiographers/sonographers (30s, IQR: 36) and consultant radiologists (28.5s, IQR: 39). Approved requests were processed fastest (median: 33s) and cancelled requests took longest (71s). Vetting times differed across modalities (H = 91.50, df (5), <em>P</em><.001), longest for computed tomography (42s) and nuclear medicine (39s), and shortest for ultrasound (11s). Referral source influenced vetting time: musculoskeletal interface clinic were quickest (14s), whereas hospital referral was slowest (44s).</div><div>Vetting outcomes differed by role (X<sup>2</sup>(4, N=344) = 34.15, <em>P</em><.001), with residents approving most requests. Outcomes were similar between consultants and radiographers/sonographers (X<sup>2</sup>(2, N=278) = 4.46, <em>P</em>=.11). Approval rates varied by referrals source (X<sup>2</sup>(8, N=344) = 106.93, <em>P</em><.001)—lowest for general practice (GP) (62 %) and highest for accident and emergency (100 %).</div></div><div><h3>Conclusion</h3><div>Vetting consumes a substantial amount of time and resources. Quantifying and understanding vetting time are vital for workforce planning and optimising departmental efficiency.</div></div>","PeriodicalId":10695,"journal":{"name":"Clinical radiology","volume":"94 ","pages":"Article 107251"},"PeriodicalIF":2.0000,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical radiology","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0009926026000279","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/1/9 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
引用次数: 0
Abstract
AIM
Vetting is an essential but often overlooked step in radiology workflow. No published data exist on time spent vetting in National Health Service radiology departments. This study aims to quantify vetting times, examine variation by professional role, outcome, modality and referral source and explores the relationship of vetting outcome to professional role and referral source.
MATERIALS AND METHODS
Between April and August 2025, 344 vetting episodes in two tertiary hospitals in the North East and North Cumbria Imaging Network were prospectively observed. Time taken to vet, professional role of the vetter, outcome, referral source, and modality were recorded.
Results
The median vetting time was 31 seconds (IQR: 44.5; range: 4-347). Residents spent the longest time per request (61s, IQR: 79). Vetting times were similar for radiographers/sonographers (30s, IQR: 36) and consultant radiologists (28.5s, IQR: 39). Approved requests were processed fastest (median: 33s) and cancelled requests took longest (71s). Vetting times differed across modalities (H = 91.50, df (5), P<.001), longest for computed tomography (42s) and nuclear medicine (39s), and shortest for ultrasound (11s). Referral source influenced vetting time: musculoskeletal interface clinic were quickest (14s), whereas hospital referral was slowest (44s).
Vetting outcomes differed by role (X2(4, N=344) = 34.15, P<.001), with residents approving most requests. Outcomes were similar between consultants and radiographers/sonographers (X2(2, N=278) = 4.46, P=.11). Approval rates varied by referrals source (X2(8, N=344) = 106.93, P<.001)—lowest for general practice (GP) (62 %) and highest for accident and emergency (100 %).
Conclusion
Vetting consumes a substantial amount of time and resources. Quantifying and understanding vetting time are vital for workforce planning and optimising departmental efficiency.
期刊介绍:
Clinical Radiology is published by Elsevier on behalf of The Royal College of Radiologists. Clinical Radiology is an International Journal bringing you original research, editorials and review articles on all aspects of diagnostic imaging, including:
• Computed tomography
• Magnetic resonance imaging
• Ultrasonography
• Digital radiology
• Interventional radiology
• Radiography
• Nuclear medicine
Papers on radiological protection, quality assurance, audit in radiology and matters relating to radiological training and education are also included. In addition, each issue contains correspondence, book reviews and notices of forthcoming events.