Integrating Generative Artificial Intelligence in Collaborative Family Care Team Practice
The meeting explored how generative AI can be integrated into collaborative Family Care Team practice to improve clinician efficiency and strengthen patient care, while also addressing the practical requirements for safe and effective adoption. The session brought together panellists with diverse expertise across healthcare and technology, underscoring that successful implementation depends on responsible use and clear clinical oversight rather than replacing the clinician’s role in patient interactions. Speakers emphasized that generative AI’s value lies in supporting day‑to‑day workflow - particularly by helping manage information and reducing documentation burden - thereby creating more time for meaningful patient engagement. Participants noted that uptake of AI tools is accelerating across the healthcare community and that evolving clinical roles will require new skills, shared learning, and stronger interprofessional collaboration. A key focus was the need to adapt training environments to build AI literacy, cultivate healthy skepticism, and strengthen trainees’ ability to critically appraise AI outputs. The discussion also highlighted essential enablers and barriers, including the importance of teamwork and coordinated implementation, alongside significant privacy considerations and shared accountability when deploying AI in clinical settings. Overall, the meeting reinforced that integrating generative AI into family care is not only a technology change, but a collaborative practice change - requiring intentional training, clear governance, and ongoing dialogue to ensure benefits are realized without compromising trust, safety, or confidentiality.
You can also use the Resource Category links to the left of the video player (or above the video player on mobile devices) to view additional videos from the Family Care Teams webinar series.