Operationalizing Trustworthiness: Strengthening Clinical Decision Support Across the Care Team

Healthcare organizations are rapidly integrating advanced digital solutions, including generative AI, into clinical environments. Yet success depends on more than technical capability. In high stakes care settings, these tools must be grounded in trusted evidence, transparent in their outputs, and aligned with clinical workflows to meaningfully support decision making.

This session explores how healthcare leaders can operationalize trust within AI enabled clinical decision support. We will examine how provenance, evidence grounding, responsible architecture, governance, and human-in-the-loop evaluation work together to create solutions clinicians can confidently use.

As care becomes increasingly digital and interconnected, trust must be intentionally designed into the foundation of clinical support solutions. The future of smart health depends not only on smarter algorithms, but on building decision support that empowers the entire care team and delivers measurable benefit to patients.