Financing and Implementing Innovation in Healthcare Systems
Summary
The report outlines the 'Precision Medicine Readiness Principles' for innovation ecosystems, focusing on four pillars: governance, financing, community partnerships, and workforce infrastructure. It provides benchmarks for health systems to move from 'exploring' to 'implementing' precision medicine, emphasizing the need for novel financing models, open science, and health system strengthening, particularly in low- and middle-income countries.
Key insights
- The precision medicine innovation ecosystem is structured around four foundational areas: innovation governance, innovation financing, community and partnerships, and workforce and infrastructure.
- National strategic plans are essential for building public confidence and market demand, with initial use cases often prioritized based on disease burden, population health surveillance, and a shift toward preventative care for non-communicable diseases.
- Open science principles, such as the GO FAIR framework, reduce R&D costs and uncertainty by promoting transparent data sharing and rapid knowledge dissemination.
- Traditional Health Technology Assessment (HTA) processes often fail to capture the value-add of precision medicine, necessitating refinements to accommodate algorithms and 'omics'-based tests.
- Public funding is critical in early stages, but low- and middle-income countries (LMICs) often face constrained fiscal space, requiring 'diagonal' funding approaches that combine disease-specific investments with general health system strengthening.
- Private financing for precision medicine is scarce in LMICs because development assistance for health (DAH) and international financial institutions have historically prioritized infectious diseases over non-communicable diseases.
- Blended finance is proposed as a mechanism to mobilize private capital alongside philanthropic and development funding to drive economic growth and infrastructure in emerging markets.
- A significant barrier to implementation is the gap in coverage and reimbursement; shifting from out-of-pocket models to value-based care and alternative payment models is a key benchmark for readiness.
- The 'learning healthcare system' (LHS) model allows for lower-cost precision medicine development by capturing data at the clinical encounter to inform future practice in real-time.
- Precision medicine is unproductive without 'effectors'—foundational health system capabilities such as targeted therapy drug supplies and a workforce trained to interpret genomic data.
- LMICs can accelerate adoption by prioritizing 'absorptive capacity'—the ability to adapt external knowledge and technology—before transitioning to production-driven innovation.
Cite the original document
- APA
- World Economic Forum (2021). Financing and Implementing Innovation in Healthcare Systems. https://www3.weforum.org/docs/WEF_Financing_and_Implementing_Innovation_in_Healthcare_Systems_2021.pdf
- Chicago
- World Economic Forum. Financing and Implementing Innovation in Healthcare Systems. 2021. https://www3.weforum.org/docs/WEF_Financing_and_Implementing_Innovation_in_Healthcare_Systems_2021.pdf.
- Wikipedia
- {{cite report |author=World Economic Forum |title=Financing and Implementing Innovation in Healthcare Systems |date=June 2021 |url=https://www3.weforum.org/docs/WEF_Financing_and_Implementing_Innovation_in_Healthcare_Systems_2021.pdf |access-date=23 October 2026 |via=Climate Insights Directory}}
- BibTeX
- @techreport{worldeconomicforum2021financing, author = {{World Economic Forum}}, title = {{Financing and Implementing Innovation in Healthcare Systems}}, institution = {World Economic Forum}, year = {2021}, month = jun, url = {https://www3.weforum.org/docs/WEF_Financing_and_Implementing_Innovation_in_Healthcare_Systems_2021.pdf}, urldate = {2026-10-23}, note = {Indexed by Climate Insights Directory} }
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