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Scaling Innovation in a Publicly Funded System: A UK Pathway From Evidence to Adoption
Matthew Whitty1, David Walliker2
1Director of Commercial Partnerships, MDClone, Former Chief Executive of the Accelerated Access Collaborative, National Health Service England, London, UK.
Canada faces challenges in implementing new healthcare innovations due to fragmented systems. A connected UK model, using principles of evidence translation and adoption frameworks, shows promise for rapid, national-scale implementation of health technologies.
Area of Science:
- Health services research
- Healthcare innovation
- Health technology assessment
Background:
- Canadian healthcare systems struggle to integrate evidence-based innovations into routine practice.
- Fragmented functions for evidence, funding, procurement, and delivery hinder innovation adoption in Canada.
- The UK's tax-funded healthcare system offers a partially connected model for managing these functions.
Purpose of the Study:
- To map the architecture of evidence translation and implementation in healthcare.
- To explain how evidence moves into practice using the nonadoption, abandonment, scale-up, spread, and sustainability (NASSS) framework.
- To identify practical implications for improving healthcare innovation adoption in Canada.
Main Methods:
- Conceptual mapping of the healthcare innovation ecosystem.
- Analysis of evidence translation pathways.
- Application of the NASSS framework principles.
- Case study analysis of placental growth factor testing and stroke imaging AI adoption in the UK.
Main Results:
- A connected architecture linking research, assessment, regulation, procurement, and data is crucial for evidence implementation.
- National assessment, adoption support, and procurement facilitated rapid, large-scale adoption of innovations in the UK.
- The NASSS framework provides principles to address challenges in nonadoption, abandonment, scale-up, spread, and sustainability.
Conclusions:
- Canada can benefit from a single, repeatable pathway for evidence-to-practice translation.
- Implementing national frameworks, conditional adoption with evidence generation, and investment in implementation capacity are key.
- Secure data environments are essential for real-world evaluation and sustained adoption of healthcare innovations.
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