ArticleAbdominal radiology (New York)2026
Optimising radiology workflow in a high-volume academic medical centre: a multi-phase, data-driven quality improvement initiative.
Article in Abdominal radiology (New York), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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4 authors.
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Abstract
purposeHigh-volume public radiology departments face multifactorial workflow challenges driven by fragmented digital infrastructure and high imaging demand under state-sponsored health coverage programmes. We aimed to evaluate a multi-phase quality improvement initiative targeting pre-scan, scan and post-scan bottlenecks in CT and MRI services at a publicly funded, PPP-operated tertiary academic centre.
methodsA pre-post study using the Plan-Do-Study-Act framework was conducted per SQUIRE 2.0. A multidisciplinary team implemented 13 targeted interventions across three workflow phases. Outcomes were compared by independent-samples t-tests, Wilcoxon rank-sum tests, and chi-square or Fisher exact tests; process stability was assessed with Shewhart X-bar control charts (α = 0.05).
resultsCT registration-to-scan time decreased from 2.1 to 1.2 h (-43%) and MRI waiting time from 10.2 to 4.8 h (-53%), both p < 0.001. Manual registration delay fell from 17 to 6 min per examination (-65%, p < 0.001). Reporting backlog dropped from 26 to 9 h and critical-result turnaround from 90 to 40 min (both p < 0.001). Protocol omission decreased from 15.4% to 5.2% (p < 0.001). Median staff burnout decreased from 7.0 to 4.0 and patient satisfaction rose from 58% to 82% (both p < 0.001). Study-unit throughput increased 20.2% (p < 0.001). Improvements were stable across the post-intervention window.
conclusionA structured, low-cost, multi-phase QI initiative demonstrated statistically significant improvements in workflow efficiency, diagnostic completeness, staff well-being and patient experience without capital equipment investment, with process stability demonstrated over the short-term observation window. The framework is replicable in resource-constrained academic radiology departments with similar PPP arrangements.
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Registered trials
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