Triage Radiology Imaging Assessment for Greater Effectiveness (TRIAGE): a Cluster-Randomised Crossover Trial Evaluating the Reporting Turn-Around-Time of Brain Magnetic Resonance Images Using an AI-enabled Abnormality Detector for Prioritisation
Triage Radiology Imaging Assessment for Greater Effectiveness (TRIAGE): a Cluster-Randomised Crossover Trial Evaluating the Reporting Turn-Around-Time of Brain Magnetic Resonance Images Using an AI-enabled Abnormality Detector for Prioritisation
The aim of the trial is to understand whether a computerised tool designed to quickly spot problems in brain scans (MIDI) can help doctors diagnose cases faster. This will help patients by getting them the treatment they need sooner. How useful doctors find the tool will also be measured, and whether it is cost-saving for the National Health Service (NHS).
NHS radiology services are under unprecedented pressure as rising demand outpaces available workforce capacity. MRI utilisation across the NHS has increased by 9% year-on-year. As a result, many departments have relied on unsustainable measures such as outsourcing and weekend insourcing to manage reporting backlogs.
Delays in scan reporting have serious implications, including missed or delayed diagnoses, prolonged hospital stays, higher healthcare costs, and poorer patient outcomes. A systematic review and meta-analysis found that each month of delay in initiating cancer treatment increases mortality risk by approximately 10%.
There is an urgent need for validated digital tools that can reduce TATs without compromising diagnostic accuracy. The TRIAGE study (Triage Radiology Imaging Assessment for Greater Effectiveness (TRIAGE): a Cluster-Randomised Crossover Trial Evaluating the Reporting Turn-Around-Time of Brain Magnetic Resonance Images using an AI-enabled Abnormality Detector for Prioritisation) evaluates whether MIDI can reduce the average TAT of abnormal scans in routine NHS clinical practice.
The primary purpose of MIDI is workflow triage: it enables prioritisation of abnormal scans within radiology reporting worklists, helping departments manage high volumes efficiently.
Inclusion Criteria:
For main trial
For O3 subgroup ● Radiologists, radiographers, and referring clinicians involved with the use of the MIDI tool at sites who consent to completing the staff survey
For O7 subgroup
For O8 subgroup
Additionally for those completing EORTC questionnaires:
● Able to give consent and likely to be able to complete EORTC questionnaires.
Exclusion Criteria:
For main trial
For O3 subgroup ● Radiologists, radiographers, and referring clinicians involved with the use of the MIDI tool at sites who do not consent to completing the staff survey
For O7 subgroup
For O8 subgroup
Additionally for those completing EORTC questionnaires:
● Unable to give consent and unlikely to be able to complete EORTC questionnaires.
pctu-triage@qmul.ac.uk00
giusi.manfredi@kcl.ac.uk00