About this Presentation
This session presents a solution that combines AI-enhanced Theory of Constraints and System Dynamics modeling for organizations seeking deeper system understanding and aiming to overcome complex, persistent problems in healthcare.
This session will highlight:
Strengths and limitations of AI for enhancing systems thinking
How TOC and System Dynamics offer complementary system understanding
A deeper understanding of how PTSD is shaped by personal, social, and system-level variables
The impact of visual models on social construction
What Will You Learn
To help you get the most value from this session, we’ve highlighted a few key points. These takeaways capture the main ideas and practical insights from the presentation, making it easier for you to review, reflect, and apply what you’ve learned.
Learn how combining Theory of Constraints and System Dynamics helps multidisciplinary teams build a shared understanding of complex healthcare problems such as PTSD diagnosis and treatment.
Understand how AI can accelerate the construction and refinement of TOC logic trees and system dynamics models without replacing human judgment or social collaboration.
See how boundary objects, such as CRTs, conflict clouds, and causal-loop models, improve alignment and reduce fragmentation across diverse research disciplines.
Gain insight into how identifying a small number of root causes and leverage points can guide more effective interventions in complex sociotechnical systems.
Instructor(s)
Don Greer
Don Greer is a methodologist and facilitator focused on enhancing organizational performance by addressing challenges within sociotechnical systems. He applies systems thinking and dynamic modeling to diagnose root causes and design interventions, as demonstrated in his work on U.S. Air Force program disconnects and developing a buffalo herd management model that illuminated complex interdependencies. His expertise lies in translating these insights into actionable strategies, facilitating collaboration, and guiding organizations through the implementation of robust solutions to achieve breakthrough results.
Christophe Lambert Ph.D
Christophe G. Lambert, Ph.D., is a Professor of Medicine and Division Chief of Translational Informatics at the University of New Mexico. He is also the founder, past CEO and current Chairman of Golden Helix, a Bozeman-based bioinformatics company. Throughout his career, he has applied systems thinking to the challenging problems affecting life sciences and healthcare research, with numerous articles and presentations diagnosing systemic problems and prescribing the change management required for improvement. As a lifetime TOCICO member, certified in the Theory of Constraints (TOC) Fundamentals (2004) and Thinking Processes (2006), he applied TOC within his own company for a decade, and currently applies it to problems in mental and organizational health. Originally from Canada, Dr. Lambert received his bachelor’s degree from Montana State University, and a PhD in computer science from Duke University.
Alexandria Viszolay
Alexandria Viszolay is a third-year medical student at the University of New Mexico School of Medicine and a graduate research assistant in the Division of Translational Informatics. She holds a BS in Biochemistry with Honors from the University of New Mexico, where she later served as a curriculum coordinator in the Department of Biochemistry and Molecular Biology. Alexandria is student representative to the medical school administration, a Learning Communities leader, President of the Oncology and Hematology Student Chapter, and a member of the National Community of Scholars. Her scholarly interests focus on the application of systems thinking to clinical practice and healthcare delivery through innovative, interdisciplinary approaches.