Understanding the integration of artificial intelligence in healthcare organizations and systems through the NASSS framework: a qualitative study in a leading Canadian academic center.

Ref: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11149257/

This paper explores the integration and implementation of AI in healthcare organizations. The authors utilize the NASSS framework to evaluate this process, focusing on five key domains: non-adoption, abandonment, scale-up, spread, and sustainability. The framework aids in identifying both barriers and facilitators within the AI adoption process.

This suggests actionable steps for organizations:

• Leadership: Effective leadership is crucial for advocating AI adoption and managing resistance.
• Stakeholder Engagement: Engaging a diverse range of stakeholders ensures that AI solutions address practical needs and achieve broader acceptance.
• Training and Resources: Offering thorough training and resources facilitates smoother adoption and successful integration of AI technologies.

This paper underscores the complexities involved in integrating AI into healthcare systems, emphasizing the necessity for a strategic approach to address both technical and organizational challenges. The NASSS framework offers valuable insights for healthcare administrators seeking to implement AI technologies effectively. The findings provide practical guidance for healthcare organizations, policymakers, and technology developers, highlighting the importance of overcoming barriers and ensuring the effective scaling and sustainability of AI initiatives.