John Radcliffe Hospital, Level 6, Headley Way, Headington, Oxford, OX3 9DU
Professor of Surgical Science and Practice
Peter's early research work was on cancer metastasis and gastrectomy technique. However, he has since become interested in patient safety and founded the QRSTU research group which is dedicated to studies of quality and safety interventions in surgery.
Current work is funded by a Programme Grant from the NIHR, and involves a synthesis of aspects of the LEAN and CRM interventions to optimise safety performance in surgery.
Peter has advised and participated in the development of the NHS Institute programme "the productive operating theatre" and the Health Foundation sponsored project on Safer Theatre Teams. Peter is actively involved in assisting the Clinical Human Factors Group in their work to improve surgical safety in the UK.
Association of Clinician Diagnostic Performance With Machine Learning-Based Decision Support Systems: A Systematic Review.
Vasey B. et al, (2021), Jama netw open, 4
DECIDE-AI: new reporting guidelines to bridge the development-to-implementation gap in clinical artificial intelligence.
DECIDE-AI Steering Group None., (2021), Nat med, 27, 186 - 187
The IDEAL Reporting Guidelines: A Delphi Consensus Statement Stage specific recommendations for reporting the evaluation of surgical innovation.
Bilbro NA. et al, (2020), Ann surg
Development and evaluation of an electronic hospital referral system: a human factors approach.
Woodward M. et al, (2020), Ergonomics, 63, 710 - 723
Ensuring Safe Surgical Innovation in Your Hospital: Do Try This at Home.
McCulloch P., (2019), Ann surg, 270, 942 - 943