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From Exploration to implementation: Integrating AI-enabled simulation across an NP curriculum

What does it actually look like to implement AI-enabled simulation in an NP program? Join this practical, experience-driven session to learn how one educator brought it to life across her curriculum.

May 18, 2026

live

60 minutes

Bryanna Scherer, DNP, APRN, AGNP-C, CHSE
Bryanna Scherer, DNP, APRN, AGNP-C, CHSE

Assistant Professor of Nursing, Graduate Nursing Simulation Coordinator

Olivia Livernois, MSN, FNP-BC
Olivia Livernois, MSN, FNP-BC

Family Nurse Practitioner, Nursing Program Specialist

Note: This webinar requires Zoom authentication. Please register with the email address tied to your Zoom account to ensure you can join without issues.

Webinar overview

As nurse practitioner programs evolve, many educators are exploring how AI can expand what’s possible in clinical education—particularly in online and asynchronous environments.

In this interactive, conversation-driven webinar, Dr. Bryanna Scherer shares how she has implemented AI-enabled simulation across her NP program to strengthen clinical reasoning, increase learner engagement, alleviate faculty burden, and provide deeper insight into student performance.

Drawing on her experience integrating DDx, an AI-enabled simulation platform, this session offers a practical, experience-based look at implementation—from initial exploration and piloting to how AI-enabled simulation is incorporated into courses and adopted by faculty and learners over time.

Through a moderated discussion and live audience Q&A, attendees will have the opportunity to ask questions about piloting, faculty adoption, and evaluating impact.

What you'll learn

Describe key considerations for integrating AI-enabled simulation into an NP curriculum, including where it fits within existing courses and learning experiences

Identify practical strategies for introducing AI-enabled simulation to faculty and learners, including approaches to onboarding and early implementation

Evaluate how AI-enabled simulation can expand educational capabilities in NP programs, including its role in supporting clinical reasoning development and providing insight into learner performance

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Meet your expert speakers

Bryanna Scherer, DNP, APRN, AGNP-C, CHSE
Bryanna Scherer, DNP, APRN, AGNP-C, CHSE
Assistant Professor of Nursing, Graduate Nursing Simulation Coordinator

Dr. Bryanna Scherer, is a nurse practitioner, educator, and simulation leader with a passion for advancing clinical reasoning in nursing education. She serves as Graduate Nursing Simulation Coordinator and Associate Professor of Nursing at Missouri Baptist University, where she designs and implements innovative simulation into the graduate curriculum, including the implementation of AI-enhanced learning experiences Dr. Scherer specializes in bridging the gap between didactic learning and real-world clinical decision-making through simulation, case-based learning, and emerging technologies. Her work focuses on preparing practice-ready clinicians while equipping faculty with practical, scalable teaching strategies.

Olivia Livernois, MSN, FNP-BC
Olivia Livernois, MSN, FNP-BC
Family Nurse Practitioner, BLS Instructor, Nursing Program Specialist

Olivia Livernois, MSN, FNP-BC, is a practicing Family Nurse Practitioner, educator, and Nursing Program Specialist at Sketchy. She collaborates with nurse practitioner programs nationwide to align clinical reasoning, communication, and virtual simulation-based learning with curricular goals and competency frameworks. Her clinical background spans critical care, occupational health, hospice, and urgent care, and she currently practices in urgent care and occupational health/primary care settings, delivering accessible, real-world care to diverse patient populations. Olivia is passionate about advancing innovative, student-centered learning that strengthens diagnostic reasoning and prepares learners for high-stakes clinical practice.

Dr. Sarah Mitchell, MD, FACP
Professor of Internal Medicine, Johns Hopkins University School of Medicine

Dr. Mitchell is a nationally recognized expert in clinical reasoning and diagnostic error prevention. She serves as Director of Clinical Skills Education at Johns Hopkins and has published extensively on cognitive bias mitigation and diagnostic safety. Her research focuses on improving diagnostic accuracy through structured reasoning frameworks and simulation-based training.

Dr. Raj Kumar, MD, MPH
Associate Dean for Clinical Education, Stanford University School of Medicine

Dr. Kumar leads Stanford's clinical reasoning curriculum and oversees assessment innovation across all clinical clerkships. He is a pioneer in integrating AI-enhanced simulation into medical education and has received multiple teaching awards for his work developing competency-based assessment frameworks. His expertise spans internal medicine, medical education, and healthcare quality improvement.

Dr. Sarah Mitchell, MD, FACP
Professor of Internal Medicine, Johns Hopkins University School of Medicine

Dr. Mitchell is a nationally recognized expert in clinical reasoning and diagnostic error prevention. She serves as Director of Clinical Skills Education at Johns Hopkins and has published extensively on cognitive bias mitigation and diagnostic safety. Her research focuses on improving diagnostic accuracy through structured reasoning frameworks and simulation-based training.

Secure your spot today

Join us for this interactive webinar and gain practical strategies to elevate diagnostic reasoning in your practice or teaching

Note: This webinar requires Zoom authentication. Please register with the email address tied to your Zoom account to ensure you can join without issues.