Abstract
We see a backlog in the effective and efficient integration of personalized medicine applications such as genome-based information and technologies into healthcare systems. This article aims to expand on the steps of a published innovative model, which addresses the bottleneck of real-time integration into healthcare. We present a deconstruction of the Learning-Adapting-Leveling model to simplify the steps. We found out that throughout the technology transfer pipeline, contacts, assessments and adaptations/feedback loops are made with health needs assessment, health technology assessment and health impact assessment professionals in the same order by the academic-industrial complex, resulting in early-on involvement of all stakeholders. We conclude that the model steps can be used to resolve the bottleneck of implementation of personalized medicine application into healthcare systems.
Original language | English |
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Pages (from-to) | 683-701 |
Journal | Personalized Medicine |
Volume | 10 |
Issue number | 7 |
DOIs | |
Publication status | Published - Sept 2013 |
Keywords
- health impact assessment
- health needs assessment
- health technology assessment
- LAL model
- life cycle
- personalized healthcare
- personalized medicine
- public health genomics
- technology transfer
- translational research