Engineering Systems Science

Systems Science asks the question, "What is the relationship between the processes we control and the outcomes we achieve?"

We use principles of systems thinking as well as a variety of evidence-based
conceptual models to better understand complex problems in dynamic environments,
so we can engineer effective solutions.


Key elements of systems science include:

  • Eliminating waste and errors
  • Conducting multi-method needs assessments and root cause analyses
  • Evaluating risk and reliability of designed solutions

Examples of our work in systems science include:

  • Ambulatory Re-Design
  • Always Quiet at Night Root Cause Analysis