The Genome-based Knowledge Management in Cycles model: a complex adaptive systems framework for implementation of...

Area of Science:

• Genomics
• Public Health
• Knowledge Management

Background:

• The Genomic Applications in Practice and Prevention Network (GAAPP Network) aims to integrate genomics into healthcare and disease prevention.
• Complex adaptive systems principles offer a novel approach to understanding and improving collaborative public health initiatives.

Purpose of the Study:

• To introduce a new framework, the Genome-based Knowledge Management in Cycles (G-KNOMIC) model, supporting the GAAPP Network's mission.
• To leverage complex adaptive systems principles for enhanced translation of genomic findings.

Main Methods:

• The G-KNOMIC model proposes knowledge management cycles: synthesis, evaluation, implementation, and utilization.
• The framework emphasizes interconnectedness, continuous change, feedback loops, and self-organization within multidisciplinary teams.
• Two case studies of genomic technology uptake are used to demonstrate the framework's application.

Main Results:

• The G-KNOMIC model provides a structured approach for multidisciplinary teams to manage genomic knowledge.
• The framework's adaptive and cyclical nature supports the dynamic process of translating genomic evidence into practice.
• Case studies illustrate the potential of G-KNOMIC to improve the adoption of genomic technologies.

Conclusions:

• The G-KNOMIC framework enhances the translation of evidence-based genomic findings into clinical practice and public health.
• This model supports collaborative efforts in genomics, promoting effective healthcare and disease prevention strategies.
• The application of complex adaptive systems principles offers a robust approach for integrating genomic advancements.