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Technology transfer from biomedical research to clinical practice: measuring innovation performance
E Andrew Balas1, Peter L Elkin
1Georgia Regents University, Augusta, GA, USA.
Evaluation & the Health Professions
|October 22, 2013
Summary
Bridging the gap between research and practice requires better metrics for innovation transfer. This study proposes new performance thresholds to accelerate the translation of scientific discoveries into real-world applications and improve R&D productivity.
Area of Science:
- Translational Science
- Innovation Management
- Research & Development
Background:
- Long transfer times (17 years) from clinical trials to practice hinder healthcare advancement.
- Declining R&D productivity is evident, with flat new drug output despite increased spending.
- The National Institutes of Health (NIH) translational research initiative seeks impact assessment metrics.
Purpose of the Study:
- To develop an expanded model for research-based innovation and performance thresholds.
- To define pathways and metrics for effective transfer of research to practice.
- To address the declining R&D productivity by optimizing innovation pathways.
Main Methods:
- Reviewed existing models for research-to-practice transfer.
- Specified innovation pathways based on common characteristics.
- Integrated an intellectual property transfer model, emphasizing innovation disclosure.
Main Results:
- Identified key research transfer measures and progress milestones.
- Recommended numeric milestones for technology transfer at various performance levels (top 50%, 25%, 10%).
- Established target levels for metrics like research spending to disclosure, patents to licenses, and income per license.
Conclusions:
- Academic institutions must prioritize innovation in scholarly discourse.
- Further research into pathways to innovation disclosure is crucial for R&D productivity.
- Informing researchers about institutional technology transfer performance and supporting innovators is essential.
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