Artificial intelligence in interprofessional education and collaborative practice: towards a research agenda
Key Points
The aim is to explore the integration of artificial intelligence in interprofessional healthcare to enhance collaborative practice and patient care.
Analyzed the current applications of AI in clinical settings
Identified key areas for future research and development
Outlined potential frameworks for integrating AI into educational curricula
AI has demonstrated potential in supporting clinical decision-making and improving documentation efficiency.
Incorporating AI tools enhances interprofessional collaboration and patient outcomes.
Future research directions are proposed to evaluate the effectiveness of AI interventions in healthcare settings.
Abstract
Artificial intelligence (AI) is rapidly entering interprofessional healthcare practice. Clinical decision support systems, diagnostic algorithms, AI-assisted documentation, and large language model...