Jennifer Martin

Papers

Total Citations

H-Index

About

Jennifer Martin’s research sits at the critical intersection of surgical innovation and human factors, exploring why promising technologies often fail to gain traction in orthopaedic practice. Her work focuses on the adoption of Computer Assisted Orthopaedic Surgery (CAOS) and robotic systems for total joint arthroplasty, examining the surgeon-side barriers that limit uptake even when clinical benefits are clear. In her most cited paper (16 citations), Martin investigates surgeon opinion on new technologies, revealing that awareness of user requirements is a key determinant of adoption. Her earlier foundational work (4 citations) provides a comprehensive overview of CAOS technologies—from image-guided and image-free systems to robotics—and systematically identifies the factors that influence their wider acceptance. By bridging the gap between technical capability and clinical reality, Martin’s research offers practical insights for device developers and hospital administrators seeking to improve implementation. Her work is essential reading for anyone interested in why some surgical innovations succeed while others stall, and for students and researchers exploring the socio-technical dimensions of orthopaedic surgery.