Jason Redhead

Royal Rehabilitation Centre

Papers

1

Total Citations

13

H-Index

1

About

Dr. Jason Redhead is a leading researcher in rehabilitation technology and clinical implementation science, whose work bridges the critical gap between advanced therapeutic tools and real-world clinical practice. His most cited study, "Advanced Technology in a Real-World Rehabilitation Setting: Longitudinal Observational Study on Clinician Adoption and Implementation" (2024, 13 citations), provides groundbreaking insights into how rehabilitation technologies—such as robotics, virtual reality, and sensor-based systems—are actually adopted by clinicians over time. Rather than focusing solely on technological efficacy, Redhead's research uniquely examines the human and organizational factors that determine whether innovations succeed or fail in clinical settings. His work demonstrates that while advanced technologies can increase therapy dosage, provide multisensory feedback, and reduce manual handling for clinicians, successful implementation depends critically on workflow integration, training, and clinician buy-in. This pragmatic, implementation-focused approach has made his research invaluable for hospital administrators, device developers, and rehabilitation teams seeking to translate technological promise into patient benefit. Dr. Redhead's contributions are shaping how the field understands technology adoption, ensuring that future rehabilitation innovations are designed not just for effectiveness, but for real-world usability and sustained clinical impact.

Research Focus

Key Achievements

1
H-Index
1
Papers
13
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Advanced Technology in a Real-World Rehabilitation Setting: Longitudinal Observational Study on Clinician Adoption and Implementation
13 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Royal Rehabilitation Centre

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 8 days ago