ACCEPT: ASSESSING CLINICAL EFFECTIVENESS OF PRIORITISING CT HEADS
The ACCEPT study seeks to assess whether qER, a head CT AI solution from Qure.ai, can reduce report turnaround times of non-contrast head CT scans in the Emergency Departments of four national sites. DHVL led on the design of the study and the delivery of the trial, as well as providing academic leadership support from inception through to the final reporting stage.
The ACCEPT STUDY
Lengthy waiting times for verified radiology reports can often result in delays to clinical management for patients with head injuries, resulting in poor patient flow within hospitals and ultimately reduced outcomes.
AI software has the potential to improve this patient flow by supporting clinicians to make faster decisions about the care and management of patients, allowing them to prioritise urgent cases and deliver critical interventions more efficiently.
About the Study
The ACCEPT study seeks to assess whether qER, a head computed tomography (CT) AI solution from Qure.ai, can reduce report turnaround times of non-contrast head CT scans in the emergency departments of four national sites. The qER solution creates a prioritised worklist of scans with critical findings at the top, helping clinicians to prioritise urgent cases.
The study uses cluster-randomised trials across the four sites to assess the value of using qER to support clinical decision making. In doing this, it seeks to improve care pathways and provide valuable insights into the potential impact AI can have on the challenges that healthcare systems around the world face.
How DHVL Supported this Study
The Digital Health Validation Lab has led on the design of the ACCEPT study and the delivery of the trial across the four sites, including Queen Elizabeth University Hospital in Glasgow, Oxford University Hospital, Northumbria Specialist Emergency Care Hospital, and Guys and St Thomas’ Hospital in London.
DHVL also provided academic leadership and a Clinical Innovation Fellow to manage and oversee the study from its inception through to the final reporting stage.