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Unlocking the Full Potential of Health Care Teams: How Artificial Intelligence Can Help
Manchi Monica Hsu1, Benny Bikash Pokharel1, Jacqueline Kueper2
1Faculty of Medicine, University of British Columbia, 317-2194 Health Sciences Mall, Vancouver, BC, V6T 1Z3, Canada, 1 6048229836.
JMIR AI
|May 11, 2026
Summary
Artificial intelligence (AI) can enhance healthcare teamwork by optimizing team composition and standardizing care processes. This involves leveraging data and addressing ethical concerns to improve patient care integration.
Area of Science:
- Health Services Research
- Artificial Intelligence in Healthcare
- Teamwork and Collaboration
Background:
- Effective healthcare teams are essential for managing complex patient care.
- Optimizing team dynamics and processes requires processing extensive interaction data, which is often challenging.
- The application of artificial intelligence (AI) to improve healthcare teamwork is underdeveloped.
Purpose of the Study:
- To explore the potential of AI in enhancing healthcare team composition, dynamics, and processes.
- To identify data types and sources crucial for AI development in healthcare teamwork.
- To propose strategies and a roadmap for implementing AI in healthcare settings.
Main Methods:
- Literature review and conceptual framework development.
- Analysis of data requirements for AI in healthcare teamwork.
- Proposal of enabling strategies and a phased implementation roadmap.
Main Results:
- AI can optimize team composition, strengthen professional relationships, and standardize care processes.
- Various data types and sources are available to support AI development for teamwork.
- Strategies include data-sharing alliances and leadership engagement to address ethical and technical challenges.
Conclusions:
- AI offers significant potential to improve healthcare team integration and patient care.
- A sequenced, human-centered approach is recommended for piloting AI applications in complex care environments.
- Addressing data privacy, interoperability, and ethical considerations is critical for successful AI implementation.
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