Frank Ofoezie

Sunderland Royal Hospital

Papers

1

Total Citations

3

H-Index

1

About

Frank Ofoezie is a colorectal surgeon whose work bridges clinical practice and evidence-based evaluation, with a focus on robotic surgery in the National Health Service (NHS). His most-cited paper, "Evaluation of an established colorectal robotic programme at an NHS district general hospital: audit of outcomes and systematic review of published data" (2023), reflects his commitment to assessing real-world surgical outcomes. This study, which has garnered 3 citations, audits the safety and efficacy of robotic colorectal procedures in a district general hospital setting, offering valuable insights into the scalability of robotic programmes beyond tertiary centres. Ofoezie’s contributions lie in demonstrating that robotic surgery can be successfully implemented in non-specialist hospitals, potentially expanding patient access to minimally invasive techniques. His work is particularly notable for combining local audit data with a systematic review, providing a balanced perspective on the benefits and challenges of robotic adoption. While his citation count is modest, his research addresses a critical gap in the literature—the practical integration of robotic platforms in resource-constrained environments. For students and researchers, Ofoezie’s work underscores the importance of evaluating surgical innovations in real-world contexts, highlighting how district general hospitals can contribute to advancing colorectal care through rigorous outcome monitoring.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Evaluation of an established colorectal robotic programme at an NHS district general hospital: audit of outcomes and systematic review of published data
3 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Sunderland Royal Hospital

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago