Helen Higham
Director of the OxSTaR Centre
- Associate Professor
- Consultant Anaesthetist
- Associate Dean for Simulation and Patient Safety
Helen is an Associate Professor in the Nuffield Department of Clinical Neurosciences and a Consultant Anaesthetist in the Oxford University Hospitals NHS Foundation Trust. She has always had a keen interest in medical education and has been the Director of Undergraduate Teaching in the Nuffield Division of Anaesthetics since she took up her post in 2001.
Simulation based education has become an increasingly important tool for training healthcare professionals and Helen became the Medical Director of OxSTaR when it opened in 2008, was a founding executive member and a Past President of the Association for Simulated Practice in Healthcare, and was appointed Associate Dean for Simulation and Patient Safety in Thames Valley in 2021. She is also Director of the Patient Safety Academy, a collaboration with the Nuffield Department of Surgery, providing training and support to healthcare professionals and students in the application of human factors to improve quality and safety in healthcare.
Her research interests include human factors applied to healthcare, simulation-based education and technology enhanced learning.
Recent publications
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Patient safety incidents in anaesthesia: a qualitative study of trainee experience from a single UK healthcare region.
Journal article
Robinson A. et al, (2024), Anaesthesia
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Artificial intelligence for ultrasound scanning in regional anaesthesia: a scoping review of the evidence from multiple disciplines.
Journal article
Bowness JS. et al, (2024), Br J Anaesth
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Research Protocol : Putting the Person in the PICTuRE - Personalised Informed Consent in TissUe donation for Research lived Experiences
Poster
Mawhinney G. et al, (2024)
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Adaptive strategies used by surgical teams under pressure: an interview study among senior healthcare professionals in four major hospitals in the United Kingdom.
Journal article
Irving D. et al, (2024), Patient Saf Surg, 18
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Prospective randomized evaluation of the sustained impact of assistive artificial intelligence on anesthetists' ultrasound scanning for regional anesthesia.
Journal article
Kowa C-Y. et al, (2024), BMJ Surg Interv Health Technol, 6