

The Trust Engine: Balancing AI Innovation with Patient Data Integrity
Information
As healthcare moves from AI pilots to enterprise-wide deployment, the conversation has evolved into a "Patient Safety" conversation. For clinical and operational leaders, the challenge is ensuring that the AI tools integrated into every bedside and back-office function are ethical, secure, and reliable.
This session explores the intersection of cybersecurity and clinical excellence. We will discuss the rise of "Shadow AI" in the wards, the risks of "Agentic AI" (AI that takes actions on behalf of staff), and the emerging 2026 regulatory landscape. Attendees will gain a cross-functional blueprint for building an "AI Trust Engine"—a strategy that protects sensitive PHI while empowering clinicians with the automated tools they need to reduce burnout. We will move past the technical jargon to focus on how unified data visibility protects the integrity of the medical record and, ultimately, the safety of the patient.

