Professional identity and its relationships with AI readiness and interprofessional collaboration

Area of Science:

• Healthcare professional identity
• Artificial Intelligence in healthcare
• Interprofessional collaboration

Background:

• The integration of Artificial Intelligence (AI) into healthcare presents new challenges for interprofessional collaboration and professional identity.
• Existing research has not fully explored the impact of AI on these dynamics.

Purpose of the Study:

• To investigate the relationship between professional identity, AI readiness, and interprofessional collaboration among healthcare professionals.
• To identify factors influencing professional identity in the context of AI adoption.

Main Methods:

• A cross-sectional study involving 512 participants from various healthcare professions in Jordan.
• Utilized the Medical Artificial Intelligence Readiness Scale and Readiness for Interprofessional Learning Scale for data collection.
• Employed descriptive, correlation, and comparative analyses.

Main Results:

• Professional identity showed significant positive correlations with AI readiness (ρ=0.37–0.47) and interprofessional collaboration components (ρ=0.79 for teamwork, ρ=0.37 for roles/responsibilities).
• Higher professional identity was observed in male participants and those with over five years of experience.

Conclusions:

• Findings provide a foundation for developing healthcare workforce professional identity amidst AI and interprofessional collaboration.
• Recommendations include AI and interprofessional collaboration-focused training to support practitioners and managers.