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ID04854278

Using an Operating Room Black Box to Identify and Prevent Errors in Endovascular Procedures to Improve Patient Safety

Led by University Ghent · Updated on 2025-12-22

400

Participants Needed

1

Research Sites

N/A

Total Duration

AI-Summary

What this Trial Is About

Researchers are investigating patient safety and quality improvement during endovascular procedures by using a novel OR Black box system. This multiport data capturing technology records detailed information on surgeries, including technical and non-technical factors such as teamwork, leadership, environmental influences, and error rates. The study aims to understand how these factors relate to surgical performance and to identify chains of errors and high-risk events for better safety strategies. The study includes several phases a pilot study with 22 cases, a baseline measurement of around 100 cases without intervention, and a post-measurement phase of approximately 100 cases after introducing a Massive Open Online Course MOOC for the endovascular team. The MOOC combines knowledge training with video scenarios and game-based learning for surgeons, nurses, and anesthetists. Data collection started in February 2019 and includes a registry of endovascular cases. Participants will be observed during elective endovascular procedures treating specific vascular diseases. Researchers will monitor intraoperative errors, technical skills, non-technical skills, distractions, radiation safety, team culture, and psycho-social well-being over about 1.5 years. Assessments include direct video coding, incident reports, and cognitive load evaluations. The goal is to improve surgical outcomes by analyzing performance and safety factors in the hybrid operating room environment.

CONDITIONS

Brief Title

Introduction of an Operating Room Black Box to Identify, Analyse and Prevent Errors in the Vascular Hybrid Room

Research Team

I

Isabelle Van Herzeele, MD, PhD

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