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A new Policy Report on Emerging Research Models for the Delivery of Health Innovation will be available at the end of 2007. The Report explores the major elements (tools, practices, incentive structures) underpinning new models, or approaches to organising health innovation, in order to improve the efficiency with which laboratory discoveries are translated into new medical treatments. It also identifies where governments may have a role in facilitating the transition to such new models. The Report is based on four case studies and an Expert Workshop held in Paris in November 2006.
Across the OECD there are dozens of initiatives that take a holistic or bench-to-bedside perspective on the delivery of health innovation. The tools used include the creation of novel organisational networks and structures to increase flows of information among all stages of the innovation cycle; the smarter use of information technology and the better exploitation biological and health data for both R&D and clinical practice; the creation of new and convergent scientific infrastructures and platforms; strategies and financing for improving the translation of discoveries into potential products; and the modernisation of clinical trials and regulations.
This describes the range of novel initiatives which share a common goal of more rapidly and effectively bringing biomedical products and processes from invention to market. It illustrates their commonalities and differences through case studies. And it explores whether we are in fact seeing the emergence of more efficient models for health innovation that can nimbly service the smaller targeted-therapy markets of the future.
Policy choices that could help facilitate such a transition are also discussed and include: the need for vision and leadership to effect a change in culture about health innovation; the creation of a knowledge market for the valorisation and exchange of a variety of health related data and technologies; the use of new models to leverage IP in collaborations; validating proof models and the modernisation of regulatory processes; exploiting opportunities from technological convergence in health innovation; analyzing how the value chain is changing in health innovation and policy interventions to deliver on such new value chains; accurate metrics of spending on health innovation and delivery.
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