Short summary

This study explores whether artificial intelligence (AI) can help reduce time spent in the emergency department (ED) without compromising diagnostic quality. Missed fractures are a common error, and AI may support faster, accurate decision-making. We compare standard care with an AI-assisted workflow in two patient cohorts to assess effects on diagnostic accuracy and ED efficiency.

Rationale

Emergency departments are under constant pressure to maintain patient flow while ensuring high-quality care. Missed fractures are among the most common diagnostic errors, often resulting in delayed treatment. Artificial intelligence (AI) has shown potential to support radiographic interpretation and improve efficiency. This study aims to evaluate whether an AI-assisted workflow can reduce patient time in the ED while maintaining diagnostic accuracy in fracture detection.

Description of the cohort

The study includes patients presenting to the Emergency Department at Odense University Hospital with suspected fractures. Only patients eligible for discharge based on a normal X-ray and predefined clinical criteria are included. Participants are outpatients, and both cohorts will consist of individuals assessed during routine ED visits.

Data and biological material

No biological material will be collected. The study is based on routinely collected clinical data, including timestamps (registration, X-ray, discharge), demographic information, and radiology results. Data will be extracted from the patient journal. No data from national registries will be used.

Collaborating researchers and departments

Department of Orthopedic Surgery & Traumatology at OUH

• Bjarke Viberg
• Joachim Jensen

The Emergency Department at OUH

Department of Nuclear Medicine at OUH

• Oke Gerke

The Danish Centre of Clinical Artificial Intelligence (CAI-X) at OUH/SDU

• Benjamin Rasmussen
• Maiken Overbeck Wolderslund

Centre for Innovative Medical Technology (CIMT) at OUH/SDU

• Kristian Kidholm

Department of Clinical IT at OUH

The Improvement team at OUH

The Center of research together with patients and relatives (ForSa-P) at OUH

Regional IT, Region of Southern Denmark