AI-Supported Collaboration in Team-Based Primary Healthcare: A Rapid Scoping Review Protocol

Le résumé fourni par la source

This protocol describes a rapid scoping review examining what is known about AI tools used to support collaboration in team-based primary healthcare delivery, and which collaborative team functions they target (e.g., workflow coordination, communication, shared decision-making, handoffs, task delegation, role clarity, and team cognition). The review is conducted in accordance with Joanna Briggs Institute (JBI) methodology for scoping reviews, building on the Arksey and O'Malley framework, and will be reported per PRISMA-ScR. Given the rapidly evolving nature of AI in healthcare and the time-sensitive need to inform real-world implementation, rapid review adaptations are applied, including targeted database selection, streamlined screening, and iterative refinement of search and extraction strategies based on piloting. Eligibility is defined using a Population-Concept-Context (PCC) framework: teams (of any discipline, size, or composition) in which AI supports, mediates, or participates in collaborative work; AI tools supporting team functions such as coordination, communication, and decision-making; and diverse team-based healthcare settings, with priority given to primary and community care but also including secondary, tertiary, and hospital-based teams to capture transferable evidence. Literature searches are conducted across Ovid MEDLINE and Scopus. The primary objective is to identify and synthesize what is known about the use of AI to support provider collaboration in team-based primary care delivery settings. A secondary objective is to examine the technical, social, and ethical considerations for responsible AI integration in this context. This review is situated within a broader interdisciplinary research initiative, supported by UBC Graduate and Postdoctoral Studies and UBC Health, that aims to inform the integration of AI into a new interdisciplinary team-based primary care teaching clinic at the University of British Columbia. Findings will be used to guide subsequent phases of the project, including stakeholder engagement, system design, and consultation with clinical teams, in addition to academic dissemination through a peer-reviewed journal and relevant conferences.

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