Unlocking the Full Potential of Health Care Teams: How Artificial Intelligence Can Help

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Authors: Monica Hsu, Benny Bikash Pokharel, Jacqueline Kathleen Kueper, Michaela June Kerrissey, Sian Hsiang‐Te Tsuei
Cited by: 0
References: 43

Abstract

Unlabelled: Developing effective health care teams is critical to meet the rising complexity in patient care. However, optimizing team composition, interpersonal dynamics, and care processes in complex health care systems requires processing vast amounts of data that capture fluid interactions among professionals-a task that has been cumbersome, costly, and avoided by most organizations. Well-designed artificial intelligence (AI) tools can meaningfully advance the frontier of health care teamwork, but the application of AI in this regard has been lagging. To support this development, we outline the potential for AI to help optimize team composition, strengthen norms and relationships among professionals, and standardize team-based clinical care processes. These applications can improve the integration of health care teams. Given the importance of relevant data for realizing such advances, we describe the potential types and sources of data that can support AI development. Furthermore, we highlight enabling strategies, including data-sharing alliances and leadership engagement to address privacy, interoperability, and ethical considerations. We propose a sequenced roadmap for piloting these applications based on technological readiness and clinical feasibility, ensuring that human oversight remains central as AI tools are introduced into complex care environments.

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education Interprofessional Education and Collaboration Team Dynamics and Performance

Publication details

Journal / source
JMIR AI
Volume
5
Pages
e77393–e77393
Publication date
27 February 2026
Language
EN