Papers

7

Total Citations

254

H-Index

5

About

David Beard is a prominent researcher specializing in surgical robotics, implementation science, and evidence-based evaluation of emerging surgical technologies. His work sits at the critical intersection of clinical practice and healthcare system transformation, focusing on how robotic-assisted surgery (RAS) can be rigorously assessed and successfully integrated into healthcare environments. Beard's most significant contribution is his role in developing the IDEAL framework for surgical robotics, a landmark 2024 paper that has already accumulated an impressive 143 citations, establishing a gold standard for how robotic surgical innovations should be developed, comparatively evaluated, and monitored over time. Complementing this, his research into barriers and enablers of RAS implementation—garnering 68 citations—has provided healthcare systems with actionable insights into the organizational, behavioral, and infrastructural challenges that accompany robotic surgery adoption. Beyond frameworks, Beard has championed outcome standardization through the RoboCOS study, developing an internationally agreed core outcome set that enables comprehensive, consistent evaluation of RAS across patient, surgeon, organizational, and population levels. His systematic review work further strengthened the evidentiary foundation for RAS by critically appraising research quality and transparency across specialties. Collectively, Beard's scholarship has meaningfully shaped how the global surgical community approaches robotic innovation responsibly and equitably.

Research Focus

Key Achievements

5
H-Index
7
Papers
254
Total Citations
36
Avg Citations/Paper
🏆 Most Cited Paper
The IDEAL framework for surgical robotics: development, comparative evaluation and long-term monitoring
143 citations · 2024
📈 Most Prolific Year: 2022 (3 Papers)
🤝 Key Collaborators: 101
🏛 Institutions: Nuffield Orthopaedic Centre, Royal College of Surgeons of England

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago