Healthcare staff face increasing administrative demands that take valuable time away from resident care. This session explores practical ways artificial intelligence can reduce repetitive administrative work using tools many organizations already have in place. Through real-world case studies, participants will learn how AI can assist with scheduling coordination, shift handoff communication, and documentation workflows while keeping human judgment central to patient care. Attendees will leave with practical strategies to identify opportunities for AI in their own organizations and develop a simple implementation idea they can begin testing immediately.

Nurse Learner Outcome: At the conclusion of this session, 80% of participants will self-report increased knowledge in identifying administrative healthcare tasks that can be safely supported by AI tools within existing workplace systems.

Learner Objectives:

1. Identify common administrative and communication tasks in healthcare workflows that are appropriate for AI assistance.
2. Describe at least two real-world use cases where AI tools support scheduling coordination or shift handoff communication.
3. Differentiate between healthcare tasks appropriate for AI support and those requiring human clinical judgment and empathy.
4. Analyze a workflow in their organization to determine whether AI assistance could reduce administrative workload.
5. Develop a simple implementation idea for applying AI within an existing healthcare system or workflow.