The clinical record, a central tool in the clinician’s workflow, is evolving from a passive documentation system into an intelligent partner at the point of care. This session explores how artificial intelligence is reshaping clinical practice—from pre-visit preparation and real-time insights to post-visit follow-up.

We will examine the tension between reducing clinician burnout and preserving core clinical skills, as well as the risks and challenges introduced when algorithms enter clinical decision-making.

The discussion will also incorporate the investor’s perspective, focusing on how clinical impact, operational feasibility, and long-term sustainability intersect in AI adoption decisions.

Through global perspectives, applied use cases, and real-world implementation challenges, the session will outline a roadmap connecting clinical practice, health systems, and investment in the AI era.