Ecosystem Barriers to Innovation Adoption in Clinical Practice

Area of Science:

• Genomics and molecular diagnostics
• Translational research
• Healthcare innovation adoption

Background:

• Genomic and molecular understanding of diseases is advancing.
• Clinical deployment of these advancements remains limited.
• This gap impedes identifying actionable disease subtypes.

Purpose of the Study:

• To examine factors influencing the adoption of molecular and digital phenotypes in healthcare.
• To propose strategies for accelerating the integration of new diagnostic technologies.
• To foster a 'learning' healthcare ecosystem.

Main Methods:

• Review of historical examples of healthcare innovation adoption.
• Analysis of stakeholder perspectives across the healthcare ecosystem.
• Framework development for integrating discovery and implementation.

Main Results:

• Stakeholder perspectives significantly impact the adoption of healthcare innovations.
• Uneven deployment of genomics and phenotypic assays limits translational research.
• A 'learning' healthcare ecosystem approach is crucial for progress.

Conclusions:

• Integrating molecular and digital phenotypes requires addressing diverse stakeholder needs.
• Consideration of the entire innovation lifecycle, from discovery to implementation, is essential.
• Accelerating adoption necessitates a collaborative, ecosystem-wide strategy.