Peter Gardner

University of Leeds, University of Sheffield

Papers

6

Total Citations

291

H-Index

6

About

Peter Gardner is a leading researcher in the sociotechnical implementation of robotic surgery, whose work fundamentally examines how advanced surgical technologies transform team dynamics, communication, and clinical decision-making. His research program focuses on the critical gap between purchasing surgical robots and successfully integrating them into routine practice. Gardner’s landmark studies, including his highly cited 2016 review (68 citations) and 2014 process evaluation protocol (61 citations), reveal that robotic surgery’s physical separation of surgeon from patient and team creates unintended consequences for collaboration and decision-making. Through realist interview studies and process evaluations, he has identified the contextual factors that either support or constrain successful technology adoption, with his 2019 interview study (58 citations) providing actionable frameworks for healthcare organizations. His 2017 realist process evaluation (47 citations) and 2015 study on surgical team perspectives (45 citations) further demonstrate how implicit knowledge and fault diagnosis—concepts he explored earlier in advanced manufacturing—apply to surgical settings. Gardner’s work has become essential reading for hospital administrators, surgical teams, and health policy researchers seeking to optimize the implementation of expensive robotic technologies while maintaining effective team communication and patient safety.

Research Focus

Key Achievements

6
H-Index
6
Papers
291
Total Citations
49
Avg Citations/Paper
🏆 Most Cited Paper
Embedding robotic surgery into routine practice and impacts on communication and decision making: a review of the experience of surgical teams
68 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: University of Leeds, University of Sheffield

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago