AI adoption in home-based care will rise or fall based on one factor: whether clinicians trust it enough to use it. In this session, BAYADA and Mosai will explore what it really takes to move adoption forward, from introducing new tools and addressing resistance to showing clinicians how technology can support, not replace, their judgment. Together, the panel will examine how organizations can listen to clinician concerns, build credibility through practical use cases, and create implementation strategies that feel grounded in the realities of care delivery. The conversation will focus not just on the technology itself, but on the human change management required to make innovation stick.
