Helen Higham

Associate Professor

University of Oxford

United Kingdom

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Helen Higham serves as an Associate Professor at the University of Oxford in the United Kingdom. Her research primarily focuses on the intersection of healthcare systems, patient safety, and the integration of artificial intelligence in medical practice. Recent articles include studies on antimicrobial use, clinical incident analysis, and the application of precision medicine for patients with craniospinal tumors. She is also involved in exploring human factors in medical research and education.

Articles (14)

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2025

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2025

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2022

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2022

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2022

Collaborators (7)

James Bowness

University of St. Andrews

UNITED KINGDOM

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Rajnish Gupta

Professor

UNITED STATES

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Nabil Elkassabany

Professor

University of Virginia

UNITED STATES

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Alan Macfarlane

University of Glasgow

UNITED KINGDOM

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Charles Vincent

University of Oxford

UNITED KINGDOM

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Duncan Richards

University of Oxford

UNITED KINGDOM

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David Metcalfe

University of Oxford

UNITED KINGDOM

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Helen Higham

Research Interests

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Articles (14)

The latent system factors that influence antimicrobial use and governance in healthcare: a scoping review of high-income health systems

Systems analysis of clinical incidents: development of a new edition of the London Protocol

Study protocol for putting the ‘Person’ in the PiCTuRE: an exploratory sequential mixed methods-based design, exploring how precision medicine is implemented and experienced by people living with a primary tumour of the craniospinal axis

Patient safety incidents in anaesthesia: a qualitative study of trainee experience from a single UK healthcare region*

Strategies for adapting under pressure: an interview study in intensive care units

Artificial intelligence for ultrasound scanning in regional anaesthesia: a scoping review of the evidence from multiple disciplines

Adopting human factors in early phase and experimental medicine research: A nested pilot study observing controlled human infection with SARS‐CoV‐2

Evaluation of the impact of assistive artificial intelligence on ultrasound scanning for regional anaesthesia

A study of validity and usability evidence for non-technical skills assessment tools in simulated adult resuscitation scenarios.

A study of validity and usability evidence for non-technical skills assessment tools in simulated adult resuscitation scenarios

Assistive artificial intelligence for ultrasound image interpretation in regional anaesthesia: an external validation study

Recommendations for anatomical structures to identify on ultrasound for the performance of intermediate and advanced blocks in ultrasound-guided regional anesthesia

Cognitive aids in the management of clinical emergencies: a systematic review.

Recommendations for anatomical structures to identify on ultrasound for the performance of intermediate and advanced blocks in ultrasound-guided regional anesthesia

Collaborators (7)

James Bowness

Rajnish Gupta

Nabil Elkassabany

Alan Macfarlane

Charles Vincent

Duncan Richards

David Metcalfe

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