Creating Multi-Patient Simulations with AI: Scaling Complex Scenarios

Simulation programs are increasingly expected to prepare learners for the complexity of real clinical environments—yet traditional simulation models often limit training to single-patient scenarios due to faculty workload, scheduling constraints, and evaluation demands.

In this webinar, Intulect’s Director of Simulation will demonstrate how simulation programs can design and implement AI-facilitated multi-patient scenarios that replicate real clinical workload while remaining scalable for large cohorts.

Attendees will see a live walkthrough of how to:

• Design multi-patient simulation scenarios using Intulect’s customization tools
• Integrate simulations into curriculum with prebriefing, clinical alignment, and structured debriefing
• Create custom AI characters (physicians, family members, nurses, and other roles) to introduce realistic clinical distractions and communication challenges
• Build simulations where AI facilitates the scenario, allowing learners to practice without requiring instructor moderation
• Apply rubrics and evaluation tools that automatically assess performance and generate individual competency reports at scale

Participants will leave with practical strategies to expand clinical decision-making training, increase simulation capacity, and collect meaningful competency analytics—without increasing faculty workload.

This session is ideal for simulation directors, nurse educators, and health system training leaders seeking scalable solutions for preparing learners to manage complex, real-world patient care environments.

Register Now

Date: March 31st at 11:00 AM CST 

Alternatively Available to watch live on Linkedin, Facebook, & Youtube